Jerina Rugji | Agricultural and Biological Sciences | Best Researcher Award

Best Researcher Award

Jerina Rugji – Burdur Mehmet Akif Ersoy University

Jerina Rugji
Affiliation Burdur Mehmet Akif Ersoy University
Country Turkey
Scopus ID 57219026013
Documents 319
Citations 329
h-index 5
Subject Area Agricultural and Biological Sciences
Event World Top Scientist Awards
ORCID 0000-0001-7930-6704

The Best Researcher Award is a formal academic recognition acknowledging outstanding scholarly contributions and scientific productivity demonstrated by Jerina Rugji in the field of agricultural and food sciences. The award highlights sustained research output, interdisciplinary collaborations, and measurable scientific impact through peer-reviewed publications and applied innovations in food safety and functional nutrition systems. This recognition is associated with the World Top Scientist Awards, an international platform designed to identify and promote high-performing researchers across disciplines [1].

Abstract

This article presents a structured academic overview of Jerina Rugji’s scholarly contributions, focusing on her eligibility and recognition for the Best Researcher Award. The profile reflects extensive research activities in food science, dairy technology, and microbiological safety systems supported by peer-reviewed publications and collaborative studies. Emphasis is placed on interdisciplinary approaches integrating artificial intelligence, food engineering, and applied microbiology. The evaluation incorporates measurable bibliometric indicators, including citation counts and h-index values, alongside qualitative research outcomes [2].

Keywords

Food Safety, Dairy Science, Functional Foods, Artificial Intelligence, Microbiology, Agricultural Sciences, Research Impact

Introduction

Academic recognition awards play a critical role in identifying scientific excellence and encouraging continued innovation across research domains. The Best Researcher Award represents a benchmark for evaluating sustained scholarly productivity and measurable contributions to global scientific knowledge. Jerina Rugji’s work exemplifies the integration of theoretical and applied research methodologies, particularly within agricultural and biological sciences. Her studies emphasize the importance of food safety systems, advanced processing technologies, and sustainable agricultural practices [3].

Research Profile

Jerina Rugji is an academic researcher affiliated with Burdur Mehmet Akif Ersoy University, with specialized expertise in food science and dairy technology. Her academic trajectory includes doctoral research focused on food safety and microbiological quality control, complemented by international research experience. Her Scopus profile indicates a consistent publication record and engagement in collaborative scientific networks. Her research themes include symbiotic food systems, pathogen control mechanisms, and emerging technologies in food processing [1].

Research Contributions

The research contributions of Jerina Rugji encompass experimental and analytical studies addressing food safety, microbial contamination, and functional food development. Her work integrates advanced methodologies such as machine learning, bioactive compound analysis, and dairy system optimization. Notable contributions include research on Listeria monocytogenes behavior in dairy matrices and innovative approaches to probiotic formulation. These contributions have practical implications for improving food quality and safety standards across global supply chains [4].

Publications

Jerina Rugji has contributed to numerous peer-reviewed journals, reflecting a strong commitment to advancing scientific knowledge. Her publications span topics such as AI-driven dairy systems, probiotic food development, and pathogen inactivation strategies. The inclusion of DOI-indexed research outputs ensures accessibility and validation of her scientific contributions. These publications demonstrate both depth and breadth in addressing contemporary challenges in food science and technology [5].

Research Impact

The research impact of Jerina Rugji is reflected in citation metrics, interdisciplinary collaborations, and contributions to applied scientific knowledge. Her work supports advancements in food safety regulations, nutritional innovation, and sustainable agricultural practices. The integration of emerging technologies, including artificial intelligence, highlights the forward-looking nature of her research. These contributions collectively enhance her academic visibility and influence within the global scientific community [2].

Award Suitability

The eligibility of Jerina Rugji for the Best Researcher Award is supported by her consistent academic output, innovative research methodologies, and measurable scientific impact. Her contributions align with the evaluation criteria of international research recognition platforms, emphasizing originality, relevance, and applicability. The combination of quantitative metrics and qualitative research achievements strengthens her candidacy. Such recognition underscores her role in advancing knowledge within agricultural and biological sciences [3].

Conclusion

The Best Researcher Award recognition for Jerina Rugji reflects a comprehensive evaluation of her academic achievements and contributions to scientific advancement. Her research demonstrates a balance between theoretical innovation and practical application, particularly in food science and safety systems. Continued engagement in interdisciplinary research is expected to further enhance her impact. This recognition serves as both acknowledgment and motivation for ongoing scientific exploration [4].

References

  1. Elsevier. Scopus author details: Jerina Rugji.
    https://www.scopus.com
  2. Rugji, J. (2026). AI-Enabled Next-Generation Dairy Systems.
    https://doi.org/10.1002/fsn3.71953
  3. Rugji, J. (2026). Spray Drying Impact Study.
    https://doi.org/10.3168/jds.2025-27557
  4. Rugji, J. (2025). Food Matrix and Pathogen Study.
    https://doi.org/10.31797/vetbio.1679354
  5. Rugji, J. (2025). AI in Food Safety Review.
    https://doi.org/10.1080/10408398.2024.2430749

Qiegen Liao | Residue Analysis | Best Researcher Award | 3987

Mr. Qiegen Liao | Residue Analysis | Best Researcher Award

Associate Researcher | Jiangxi Academy of Agricultural Sciences| China

Mr Qiegen Liao is an accomplished researcher specializing in multi-residue analysis technology for veterinary drugs in livestock and poultry products. His work focuses on understanding residue fluctuation patterns and evaluating the quality of animal-derived food products, contributing significantly to food safety and public health. Through methodical experimentation and innovative analytical approaches, he has advanced the detection and monitoring of veterinary drug residues, ensuring higher standards in product quality assessment. Mr Liao demonstrates a strong commitment to rigorous research, consistently producing impactful findings and fostering collaborative efforts within the scientific community. His contributions are recognized through measurable research outcomes, highlighting both the depth and applicability of his work. With a clear trajectory for future research, he has the potential to influence policy and methodology in livestock and poultry quality monitoring. His Scopus profile highlights this influence, with 560 citations, 34 published documents, and an h-index of 14, underscoring the significance and reach of his scholarly contributions.

Profile: Scopus

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1. Strict relationship between phenotypic and plasmid-associated genotypic of multidrug-resistant Escherichia coli isolated from Taihe Black-Boned Silky Fowl farms, Poultry Science, 2025.

2. Residue Depletion and Withdrawal Interval Estimations of Sulfamonomethoxine or Doxycycline Residues in Chinese Taihe Black-Bone Silky Fowls, Animals, 2025.

3. Residue depletion and withdrawal time estimation of tilmicosin in black-bone silky fowls after administration via drinking water, Food Additives and Contaminants Part A, 2025.