Sunil Pal | Biology | Best Researcher Award

Best Researcher Award

                   Sunil Pal
Affiliation Katwa Bharati Bhaban H.S School
Country India
Scopus ID 7402277528
Documents 15
Citations 710
h-index 12
Subject Area Biology
Event International Research Awards

Sunil Pal is a biology researcher affiliated with Katwa Bharati Bhaban H.S School in India. His Scopus profile records 15 documents, 710 citations, and an h-index of 12, providing bibliometric indicators of scholarly activity and research visibility. These metrics support consideration for the Best Researcher Award. [1]

Abstract

Sunil Pal, affiliated with Katwa Bharati Bhaban H.S School, India, is recognized within the field of Biology through a documented research profile indexed by Scopus. The profile reports 15 scholarly documents, 710 citations, and an h-index of 12. These indicators provide a quantitative overview of publication activity and citation influence within the indexed scholarly literature. The Best Researcher Award consideration reflects the relevance of these documented research outputs, bibliometric indicators, and subject-area alignment. The profile provides a basis for evaluating scholarly productivity, research visibility, and sustained contribution to biological research through established academic indexing and citation metrics. [1]

Keywords

Sunil Pal; Biology; Best Researcher Award; research profile; scholarly publications; Scopus; citation impact; h-index; research productivity; International Research Awards. [2]

Introduction

Research recognition commonly considers evidence such as scholarly publications, citations, disciplinary relevance, and research influence. For Sunil Pal, the available Scopus record provides standardized bibliometric information that can be used to describe research activity in Biology and support an evidence-based award assessment. [1]

Research Profile

Sunil Pal is associated with Katwa Bharati Bhaban H.S School in India and is represented in Scopus under Author ID 7402277528. The indexed profile reports 15 documents, 710 citations, and an h-index of 12, indicating measurable scholarly activity and citation-based research visibility. [1]

Research Contributions

The documented research contribution of Sunil Pal can be characterized through his indexed publication record and citation performance in Biology. His 15 Scopus-indexed documents indicate an established body of scholarly output, while 710 citations demonstrate that the recorded publications have received substantial attention within the indexed research literature. [2]

Publications

The Scopus author record associated with Sunil Pal currently identifies 15 documents. The supplied profile does not provide a complete publication bibliography within this article, so individual titles, journals, publication years, and DOI identifiers are not asserted here without corresponding source evidence. [1]

Research Impact

Citation indicators provide one quantitative perspective on scholarly impact. The reported 710 citations and h-index of 12 indicate that multiple publications associated with the profile have accumulated citations, while the h-index reflects a combination of publication productivity and citation performance. These measures should be interpreted within disciplinary context. [3]

Award Suitability

Sunil Pal’s documented research profile aligns with the academic focus of the Best Researcher Award through its association with Biology, indexed scholarly publications, and measurable citation indicators. The available bibliometric record offers objective evidence for consideration, although final award decisions may also depend on criteria beyond the metrics presented here. [4]

Conclusion

Sunil Pal’s Scopus-indexed profile presents a measurable record of biological research, comprising 15 documents, 710 citations, and an h-index of 12. These indicators provide a concise evidence base for academic recognition and establish a documented foundation for consideration for the Best Researcher Award within the International Research Awards. [5]

References

  1. Elsevier. (n.d.). Scopus author details: Sunil Pal, Author ID 7402277528. Scopus.
    https://www.scopus.com/pages/authors/7402277528
  2. Pal, S. K., Ghosh, B., & Roy, S. (1998). Agonistic behaviour of free-ranging dogs (Canis familiaris) in relation to season, sex and age. Applied Animal Behaviour Science, 59(4), 331–348.
    https://doi.org/10.1016/S0168-1591(98)00108-7
  3. Pal, S. K. (2005). Parental care in free-ranging dogs, Canis familiaris. Applied Animal Behaviour Science, 90(1), 31–47.
    https://doi.org/10.1016/j.applanim.2004.08.002
  4. Pal, S. K. (2001). Population ecology of free-ranging urban dogs in West Bengal, India. Acta Theriologica, 46, 69–78.
    https://doi.org/10.1007/BF03192418

  5. Pal, S. K. (2003). Urine marking by free-ranging dogs (Canis familiaris) in relation to sex, season, place and posture. Applied Animal Behaviour Science, 80(1), 45–59.
    https://doi.org/10.1016/S0168-1591(02)00178-8

Xiao Sun | Agricultural and Biological Sciences | Research Excellence Award

Assoc Prof Dr. Xiao Sun | Agricultural and Biological Sciences | Research Excellence Award

Chuzhou University | China

Dr. Xiao Sun, Ph.D., is an accomplished Associate Professor in the College of Biological and Food Engineering at Chuzhou University, specializing in poultry science, meat quality evaluation, agricultural product processing, and intelligent equipment development. Trained in Agricultural Electrification and Automation at Nanjing Agricultural University, Dr. Sun completed his Ph.D. with joint doctoral training in Poultry Science at the University of Arkansas, USA, where he gained extensive international research experience and established long-term academic collaborations. His research addresses critical industry challenges, particularly woody breast myopathy in broilers, focusing on its formation mechanisms, quality deterioration, and practical solutions for detection, grading, and processing optimization. Dr. Sun’s work is distinguished by the integration of machine vision, image analysis, spectroscopy, sensor technologies, neural networks, and intelligent systems to develop non-destructive detection and grading technologies for poultry meat quality. His research has significantly advanced understanding of how myofibrillar protein structure, processing conditions, and storage factors influence meat quality attributes, enabling improved quality control and waste reduction across poultry processing chains. As a principal investigator, he has led multiple competitive research projects funded by provincial authorities, universities, and industry partners, emphasizing translational outcomes and real-world application in slaughtering and processing environments. A prolific innovator, Dr. Sun holds multiple authorized Chinese invention patents, international patents, and software copyrights, including landmark systems for detecting woody breast conditions and intelligent grading of poultry carcasses. His patented technologies have strong potential for industrial deployment, reflecting his commitment to bridging academic research with commercial and societal impact. Dr. Sun has published over 30 peer-reviewed articles in leading international journals such as Poultry Science, LWT – Food Science and Technology, Foods, and the Journal of Food Science, contributing foundational and applied insights into poultry meat quality and processing science. His contributions have been recognized through numerous honors, including national science and technology awards, the Young Scientist Program Award of the World’s Poultry Science Association, and prestigious institutional titles. Through sustained research excellence, innovation, and education, Dr. Sun continues to shape the future of intelligent poultry processing and food engineering.

Citation Metrics (Scopus)

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Citations
194

Documents
25

h-index
8

Citations

h-index

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View Scopus Profile

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