Maria Hrmova | Computational biology | Best Researcher Award

Published on | Editorial Board by World Top Scientists

Best Researcher Award

Maria Hrmova — Adelaide University, Australia

Maria Hrmova
Affiliation Adelaide University
Country Australia
Scopus ID 6603811052
Documents 141
Citations 6,789
h-index 45
Subject Area Computational biology
Event World Top Scientist Awards
ORCID 0000-0002-3545-0605

Maria Hrmova is a Professor of Structural Biochemistry and Biophysics whose documented academic work is associated with the University of Adelaide in Australia. Her research programme focuses on molecular mechanisms that underpin plant protein function, with particular attention to enzymes involved in plant development, plant transport proteins associated with elemental soil toxicity tolerance, and transcription factors involved in plant abiotic stress tolerance. [1]

Abstract

Maria Hrmova’s research profile represents an interdisciplinary programme connecting structural biochemistry, biophysics, computational biology, and plant molecular science. Her documented work examines how molecular structure, catalytic mechanisms, membrane transport, and transcriptional regulation contribute to biological function and environmental adaptation in plants. The supplied academic record reports 141 documents, 6,789 citations, and an h-index of 45 for the specified Scopus author profile. [2]

Keywords

The principal keywords associated with the research record include structural biochemistry, biophysics, biotechnology, carbohydrate and protein chemistry, enzyme mechanisms, genomics and genetic engineering, transport proteins, transcription factors, protein structure, three-dimensional protein modelling, and molecular mechanisms of plant abiotic stress tolerance. Together, these terms describe a broad research framework in which computational and structural approaches are used to investigate protein function. [1]

Introduction

The supplied ORCID record identifies Maria Hrmova as Professor of Structural Biochemistry and Biophysics at the University of Adelaide, Faculty of Sciences, Engineering and Technology, Australia. It states that her laboratory investigates enzymes involved in plant development, transport proteins underlying elemental soil toxicity tolerance, and transcription factors associated with plant abiotic stress tolerance. [1]

Research Profile

Hrmova’s research profile is characterised by the investigation of molecular mechanisms that determine protein structure and function. Her documented studies include enzyme catalysis, glycoside hydrolases, plant membrane proteins, aquaporins, cation–chloride cotransporters, transcription factors, and plant responses to environmental stresses. Computational chemistry, protein modelling, structural analysis, and biochemical approaches appear across the listed works. [1]

Research Contributions

The documented research contributes to understanding catalytic efficiency, substrate recognition, protein structural plasticity, and transport mechanisms in plant systems. Studies of glycoside hydrolases examine relationships between protein structure, water networks, and enzymatic activity, while research on membrane proteins considers the molecular basis of transport and permeability. Other publications investigate transcription factors and molecular responses associated with drought, salinity, and related stresses. [3]

Publications

The ORCID record contains numerous journal articles, preprints, and research resources associated with Maria Hrmova. Recent publications include studies of glycoside exo-hydrolase catalytic efficiency, plant cation–chloride cotransporters, aquaporin membrane-protein arrangements, and the evolutionary advantage of aromatic clamps in plant enzymes. [4]

Research Impact

The supplied Scopus information reports 141 documents, 6,789 citations, and an h-index of 45 for the specified author identifier. These bibliometric measures provide quantitative indicators of publication activity and citation visibility within the Scopus record. The ORCID profile separately describes more than 220 peer-reviewed articles associated with the research group and approximately 9,000 citations, demonstrating that totals can differ between databases and between individual and group-level records. [1]

Award Suitability

The available academic record contains several measurable characteristics relevant to consideration for researcher recognition, including a substantial indexed publication record, citation activity, an h-index of 45, and research spanning structural biochemistry, computational biology, plant molecular biology, and biophysics.  [1]

Conclusion

Maria Hrmova’s documented research profile demonstrates sustained activity across structural biochemistry, biophysics, computational biology, and plant molecular science. Her publications address enzymes, membrane proteins, transport mechanisms, transcription factors, protein modelling, and molecular responses to environmental stress. [5]

References

  1. ORCID. (2026). Maria Hrmova, ORCID record 0000-0002-3545-0605. ORCID.
    https://orcid.org/0000-0002-3545-0605
  2. Luang, S., Fernández-Luengo, X., Streltsov, V. A., Maréchal, J.-D., Masgrau, L., & Hrmova, M. (2025). The structure and dynamics of water molecule networks underlie catalytic efficiency in a glycoside exo-hydrolase. Communications Biology.
    https://doi.org/10.1038/s42003-025-08113-9
  3. Henderson, S. W., Nourmohammadi, S., & Hrmova, M. (2024). Protein Structural Modeling and Transport Thermodynamics Reveal That Plant Cation–Chloride Cotransporters Mediate Potassium–Chloride Symport. International Journal of Molecular Sciences.
    https://doi.org/10.3390/ijms252312955
  4. Hrmova, M. (2024). Quaternary arrangements of membrane proteins: an aquaporin case. Biochemical Society Transactions.
    https://doi.org/10.1042/BST20241630
  5. Hrmova, M. (2022). The evolutionary advantage of an aromatic clamp in plant family 3 glycoside exo-hydrolases. Nature Communications.
    https://doi.org/10.1038/s41467-022-33180-5

Dr. Mir Asif Iquebal | Bioinformatics and Computational Biology | Best Researcher Award

Published on | Editorial Board by World Top Scientists

Dr. Mir Asif Iquebal | Bioinformatics and Computational Biology | Best Researcher Award

Dr. Mir Asif Iquebal, ICAR-Indian Agricultural Statistics Research Institute, India

Dr. Mir Asif Iquebal is a distinguished academician with a Ph.D. in Agricultural Statistics earned in 2008 from ICAR-Indian Agricultural Research Institute, New Delhi, India 🎓. His doctoral expertise lies in advanced statistical methods, showcased in his thesis, “A Study on Some Nonlinear Time-series Models in Agriculture.” Prior, he excelled, securing the first rank in M.Sc. Agricultural Statistics in 2004, focusing on “Estimation of Heritability of Threshold Characters Using Auxiliary Traits.” Dr. Iquebal’s commitment to excellence in agricultural statistics is evident throughout his educational journey. With over sixteen years of extensive experience, he currently serves as a Senior Scientist at the Division of Agricultural Bioinformatics, ICAR-IASRI, contributing significantly to Computational Biology and Statistical modeling 🌐. His diverse professional background includes roles at ICAR-Indian Institute of Pulses Research, Kanpur, and ICAR-National Academy of Agricultural Research Management, Hyderabad. In teaching, spanning twelve years, he imparts knowledge to M.Sc. and Ph.D. students, covering a range of courses from Introduction to Bioinformatics to Computational Genomics 📚. Dr. Iquebal’s research interests at the forefront of Computational Biology and Agricultural Bioinformatics involve Genomics, Genome Assembly, and RNA-seq Data Analysis. His innovative spirit extends to the application of Machine Learning techniques and the development of web-based tools, reflecting his dedication to advancing research accessibility in genomics and computational biology 🧬.

🎓 Education :

Dr. Mir Asif Iquebal is an accomplished academician with a Ph.D. in Agricultural Statistics earned in 2008 from ICAR-Indian Agricultural Research Institute, New Delhi, India 🎓. His doctoral thesis, “A Study on Some Nonlinear Time-series Models in Agriculture,” reflects his expertise in advanced statistical methods. Prior, he secured the first rank in M.Sc. Agricultural Statistics in 2004 from the same institute, with a thesis on “Estimation of Heritability of Threshold Characters Using Auxiliary Traits.” Dr. Iquebal’s educational journey showcases his commitment to excellence in the field of agricultural statistics 🌾

🌐 Professional Profiles :

Scopus

Google Scholar

Orcid

🔄 Experiences :

With over sixteen years of extensive experience, Dr. Mir Asif Iquebal is currently serving as a Senior Scientist at the Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute (IASRI), New Delhi 🌾. He has been contributing significantly since joining on April 11, 2011, engaging in impactful research in Computational Biology and Statistical modeling. His responsibilities encompass research, teaching, and training in the fields of Agricultural Bioinformatics, Computational Biology, and Agricultural Statistics. Prior to his current role, Dr. Iquebal worked at ICAR-Indian Institute of Pulses Research, Kanpur, and commenced his career as a Scientist at ICAR-National Academy of Agricultural Research Management, Hyderabad, in January 2008 🚀. His diverse experience underscores his expertise and commitment to advancing agricultural research and bioinformatics.

🔍 Teaching :

Dr. Mir Asif Iquebal brings a wealth of teaching experience, spanning twelve years from 2011 to the present, imparting knowledge to M. Sc. and Ph. D. students at the PG School, ICAR-Indian Agricultural Research Institute, New Delhi 🎓. His diverse range of courses reflects his expertise, including foundational subjects such as Introduction to Bioinformatics and Statistical Methods for Applied Sciences, as well as specialized topics like Computational Genomics and Machine Learning Techniques in Bioinformatics. Dr. Iquebal’s commitment to education is evident in the breadth of subjects he covers, contributing significantly to the academic growth of students in the field of agricultural bioinformatics and computational biology 🌱.

🌐 Research Interests  :

Dr. Mir Asif Iquebal’s research interests lie at the intersection of cutting-edge fields, focusing on Computational Biology and Agricultural Bioinformatics 🧬. His expertise encompasses Genomics, Genome Assembly, and RNA-seq Data Analysis, where he employs advanced techniques to unravel the complexities of biological data. Driven by innovation, he delves into the application of Machine Learning techniques for insightful data interpretation. Additionally, he contributes to the development of web-based tools and genomic resources, reflecting his commitment to advancing research accessibility and technological solutions in genomics 🌐.

📚 Publication Impact and Citations :

Scopus Metrics:

  • 📝 Publications: 142 documents indexed in Scopus.
  • 📊 Citations: A total of 954 citations for his publications, reflecting the widespread impact and recognition of Dr. Mir Asif Iquebal’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 1657 📖
    • h-index: 21  📊
    • i10-index: 57 🔍
  • Since 2018:
    • Citations: 1304 📖
    • h-index: 17 📊
    • i10-index: 43 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

Publications Top Notes  :

1.  RNAseq analysis reveals drought-responsive molecular pathways with candidate genes and putative molecular markers in root tissue of wheat

Journal: Scientific Reports, 9(1), 13917

Published Year: 2019

Cited By: 65

2.  Origin, diversity and genome sequence of mango (Mangifera indica L.)

Journal: Not Available

Published Year: 2016

Cited By: 65

3.  Uncovering genomic regions associated with 36 agro-morphological traits in Indian spring wheat using GWAS

Journal: Frontiers in Plant Science, 10, 527

Published Year: 2019

Cited By: 59

4.  Genetic variability for chickpea (Cicer arietinum L.) under late-sown season

Journal: Legume Research – An International Journal, 35(1), 1-7

Published Year: 2012

Cited By: 55

5.  Transcriptomic signature of drought response in pearl millet (Pennisetum glaucum (L.) and development of web-genomic resources

Journal: Scientific Reports, 8(1), 3382

Published Year: 2018

Cited By: 51