Pavan Kumar

4.9k total citations · 3 hit papers
136 papers, 3.5k citations indexed

About

Pavan Kumar is a scholar working on Animal Science and Zoology, Food Science and Molecular Biology. According to data from OpenAlex, Pavan Kumar has authored 136 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Animal Science and Zoology, 54 papers in Food Science and 36 papers in Molecular Biology. Recurrent topics in Pavan Kumar's work include Meat and Animal Product Quality (71 papers), Protein Hydrolysis and Bioactive Peptides (28 papers) and Animal Nutrition and Physiology (13 papers). Pavan Kumar is often cited by papers focused on Meat and Animal Product Quality (71 papers), Protein Hydrolysis and Bioactive Peptides (28 papers) and Animal Nutrition and Physiology (13 papers). Pavan Kumar collaborates with scholars based in India, Malaysia and South Korea. Pavan Kumar's co-authors include Nitin Mehta, Akhilesh K. Verma, Manish Kumar Chatli, Om Prakash Malav, Sunil Kumar, Awis Qurni Sazili, Zuhaib F. Bhat, Parminder Singh, Pramila Umaraw and Neelesh Sharma and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Virology and The Plant Journal.

In The Last Decade

Pavan Kumar

128 papers receiving 3.4k citations

Hit Papers

Meat analogues: Health promising sustainable meat substit... 2015 2026 2018 2022 2015 2020 2021 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pavan Kumar India 31 1.5k 1.2k 906 522 415 136 3.5k
Zuhaib F. Bhat India 41 1.8k 1.3× 1.9k 1.5× 1.3k 1.5× 433 0.8× 603 1.5× 140 4.3k
Awis Qurni Sazili Malaysia 37 980 0.7× 2.6k 2.0× 1.2k 1.3× 583 1.1× 516 1.2× 192 4.6k
Sunil Kumar India 29 1.0k 0.7× 927 0.7× 775 0.9× 222 0.4× 319 0.8× 80 2.4k
M.N. O’Grady Ireland 31 1.1k 0.8× 1.5k 1.2× 603 0.7× 454 0.9× 468 1.1× 51 3.4k
Jun Mei China 30 1.0k 0.7× 1.4k 1.1× 795 0.9× 402 0.8× 305 0.7× 144 3.3k
Monika Gibis Germany 40 2.9k 2.0× 1.6k 1.3× 911 1.0× 439 0.8× 542 1.3× 160 4.9k
Akhilesh K. Verma India 21 1.1k 0.7× 835 0.7× 515 0.6× 251 0.5× 262 0.6× 70 2.2k
Marco Antônio Trindade Brazil 33 1.7k 1.2× 1.7k 1.4× 579 0.6× 387 0.7× 501 1.2× 108 3.2k
Marta Suely Madruga Brazil 35 1.6k 1.1× 1.6k 1.3× 844 0.9× 562 1.1× 688 1.7× 139 3.5k
Ilse Fraeye Belgium 34 1.7k 1.2× 856 0.7× 659 0.7× 1.7k 3.3× 525 1.3× 84 4.5k

Countries citing papers authored by Pavan Kumar

Since Specialization
Citations

This map shows the geographic impact of Pavan Kumar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pavan Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavan Kumar more than expected).

Fields of papers citing papers by Pavan Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pavan Kumar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pavan Kumar. The network helps show where Pavan Kumar may publish in the future.

Co-authorship network of co-authors of Pavan Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Pavan Kumar. A scholar is included among the top collaborators of Pavan Kumar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pavan Kumar. Pavan Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kumar, Pavan, et al.. (2025). Ceruminous Gland Tumors in Canines and Felines: A Scoping Review. Animals. 15(8). 1138–1138.
2.
Verma, Akhilesh K., Pramila Umaraw, Pavan Kumar, et al.. (2025). Peptides From Animal and Fishery Byproducts: Uplifting the Functionality of Fifth Quarter. Food Science & Nutrition. 13(4). e70140–e70140. 4 indexed citations
4.
Kumar, Pavan, Ahmed Abubakar Abubakar, Muideen Adewale Ahmed, et al.. (2024). Behavioral, physiological, and hormonal responses during pre-slaughter handling in goats: a comparison between trained and untrained handlers. Animal Bioscience. 37(11). 2000–2007. 1 indexed citations
5.
Kumar, Pavan, Neelesh Sharma, Lokesh Kumar Narnoliya, et al.. (2023). Recent advances in in-vitro meat production – a review. Annals of Animal Science. 24(2). 393–411. 3 indexed citations
6.
Mehta, Nitin, Pavan Kumar, Akhilesh K. Verma, et al.. (2022). Microencapsulation as a Noble Technique for the Application of Bioactive Compounds in the Food Industry: A Comprehensive Review. Applied Sciences. 12(3). 1424–1424. 99 indexed citations
7.
Mehta, Nitin, Pavan Kumar, Akhilesh K. Verma, et al.. (2022). Ultrasound-Assisted Extraction and the Encapsulation of Bioactive Components for Food Applications. Foods. 11(19). 2973–2973. 92 indexed citations
8.
Kumar, Pavan, et al.. (2021). In-vitro meat: a promising solution for sustainability of meat sector. Journal of Animal Science and Technology. 63(4). 693–724. 71 indexed citations
9.
Verma, Akhilesh K., Pramila Umaraw, Vikram Singh, Pavan Kumar, & Nitin Mehta. (2019). Tender meat attracts consumers: beneath other mechanical processes in the meat industry tenderization is used globally. Fleischwirtschaft international. 36–43. 2 indexed citations
10.
Kaur, Vaneet Inder, et al.. (2018). Salinity Tolerance of Freshwater Shubunkin Gold Fish, Carassius auratus (Linn.): Suitability for Rearing in Inland Saline Water. Indian Journal of Ecology. 45(4). 876–880. 2 indexed citations
11.
Verma, Ashok Kumar, Pramila Umaraw, Pavan Kumar, V. P. Singh, & Devendra Kumar. (2018). Prospect and challenges of functional meat products: a review of functional ingredients in the global meat industry.. ˜Die œFleischwirtschaft. 98(9). 95–106. 1 indexed citations
12.
Kumar, Pavan, et al.. (2013). Microbial quality of pork nuggets incorporated with fish flesh under refrigeration. Journal of animal research. 3(1). 37–41. 6 indexed citations
13.
Biswas, Subhasish, et al.. (2012). Effect of addition of sodium caseinate, whole egg powder on the quality of chicken sausage made with poultry by-products. Journal of animal research. 2(3). 271–284. 1 indexed citations
14.
Bhat, Zuhaib F., et al.. (2012). Effect of sex on carcass quality parameters of Vanaraja chicken of over 72 weeks of age. Indian Journal of Poultry Science. 47(3). 377–381. 9 indexed citations
15.
Kumar, Pavan, Sunil Kumar, & Zuhaib F. Bhat. (2012). Effect of sex on the quality characteristics of nuggets prepared from spent Vanaraja chicken meat. Indian Journal of Poultry Science. 47(2). 218–221. 9 indexed citations
16.
Kumar, Pavan, et al.. (2011). Optimization of the Level of Mushroom in Analogue Meat Nuggets. 7(1). 53–55. 4 indexed citations
17.
Mehta, Nitin, B. D. Sharma, & Pavan Kumar. (2011). Standardization of the level of sunflower oil in the development of the low fat chicken meat patties. Journal of animal research. 1(1). 15–20. 2 indexed citations
18.
Kumar, Pavan, et al.. (2011). Effect of different cooking methods on the quality of soya incorporated turkey meat balls. Indian Journal of Poultry Science. 46(3). 361–364. 2 indexed citations
19.
Kumar, Pavan, B. D. Sharma, & Rajiv Kumar. (2010). Optimization of the egg albumen content in analogue meat nuggets. Indian Journal of Poultry Science. 45(2). 177–179. 1 indexed citations
20.
Bharati, Akshar, et al.. (2001). Unsupervised Improvement of Morphological Analyzer for Inflectionally Rich Languages.. 685–692. 10 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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