Sunil Kumar

3.4k citations
82 papers · 2.7k · h-index 29

Impact in

Papers in

    • Meat and Animal Product Quality 35
    • Animal Nutrition and Physiology 8
    • Sensory Analysis and Statistical Methods 11
    • Essential Oils and Antimicrobial Activity 8

Sunil Kumar

79 papers receiving 2.6k citations

Peers

Sunil Kumar
Comparison fields: 5 of 131
  • Animal Science and Zoology 988
  • Food Science 1.2k
  • Biochemistry 263
  • Biomaterials 343
  • Nutrition and Dietetics 336
Replace Pavan Kumar with:
Pavan Kumar India
Manish Kumar Chatli India
Akhilesh K. Verma India
Belén Gómez Spain
Hasan Yetim Türkiye
Awis Qurni Sazili Malaysia
Isabel R. Amado Spain
Eduardo Mendes Ramos Brazil
Hina F. Bhat India
Nejib Guizani Oman
Sunil Kumar relative to Pavan Kumar India Pavan Kumar's profile →
Citations per field
00.5×1.5×
Pavan Kumar · 1×
Citations per year

Countries citing papers authored by Sunil Kumar

Since Specialization
Citations

This map shows the geographic impact of Sunil 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 Sunil Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil Kumar more than expected).

Fields of papers citing papers by Sunil Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunil 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 Sunil Kumar. The network helps show where Sunil Kumar may publish in the future.

Co-authors

The 25 scholars most cited alongside Sunil Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sunil Kumar Line = papers co-authored together Sunil Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015251
2 2015215
3 2013194
4 2015136
5 2021120
6 201879
7 202179
8 201569
9 202264
10 202160
11 201458
12 201857
13 201556
14 201452
15 201652
16 202148
17 201548
18 201747
19 201446
20 202146

About Sunil Kumar

Sunil Kumar is a scholar working on Animal Science and Zoology, Food Science, Molecular Biology, Nutrition and Dietetics and Biochemistry, having authored 82 papers that have together received 2.7k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (35 papers), Protein Hydrolysis and Bioactive Peptides (16 papers), Phytochemicals and Antioxidant Activities (13 papers), Sensory Analysis and Statistical Methods (11 papers), Animal Nutrition and Physiology (8 papers), Essential Oils and Antimicrobial Activity (8 papers), Insect Utilization and Effects (7 papers) and Nanocomposite Films for Food Packaging (7 papers). The work is most often cited by research in Animal Science and Zoology (988 citations), Food Science (1.2k citations), Biochemistry (263 citations), Biomaterials (343 citations) and Nutrition and Dietetics (336 citations). Sunil Kumar has collaborated with scholars based in India, New Zealand and Pakistan. Frequent co-authors include Zuhaib F. Bhat, Hina F. Bhat, Pavan Kumar, Alaa El‐Din A. Bekhit, James D. Morton, Pramod Kumar Singh, Rajeev Ranjan, Neelesh Sharma, Dong Kee Jeong and Simranjeet Kaur. Their work appears in journals such as Journal of Food Processing and Preservation, Trends in Food Science & Technology, Asian-Australasian Journal of Animal Sciences, Ultrasonics Sonochemistry and Critical Reviews in Food Science and Nutrition.

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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