Senthilkumar Natesan

2.0k citations
39 papers · 1.3k · h-index 21

Impact in

Papers in

Senthilkumar Natesan

39 papers receiving 1.2k citations

Peers

Senthilkumar Natesan
Comparison fields: 5 of 147
  • Infectious Diseases 464
  • Modeling and Simulation 79
  • Health Informatics 19
  • Obstetrics and Gynecology 84
  • Animal Science and Zoology 117
Replace Shuaiyin Chen with:
Shuaiyin Chen China
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Zhongren Ma China
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Senthilkumar Natesan relative to Shuaiyin Chen China Shuaiyin Chen's profile →
Citations per field
00.5×6.3×
Shuaiyin Chen · 1×
Citations per year

Countries citing papers authored by Senthilkumar Natesan

Since Specialization
Citations

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

Fields of papers citing papers by Senthilkumar Natesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Senthilkumar Natesan, 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 Senthilkumar Natesan Line = papers co-authored together Senthilkumar Natesan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019192
2 2021144
3 202073
4 202069
5 202067
6 200567
7 200963
8 202059
9 202054
10 200749
11
One world, one health - veterinary perspectives.
201347
12 202047
13 202146
14 202044
15 202037
16 202036
17 202235
18 200634
19 200728
20 201122

About Senthilkumar Natesan

Senthilkumar Natesan is a scholar working on Infectious Diseases, Molecular Biology, Endocrinology, Diabetes and Metabolism, Animal Science and Zoology and Epidemiology, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Viral gastroenteritis research and epidemiology (4 papers), COVID-19 Impact on Reproduction (4 papers), Animal Virus Infections Studies (4 papers), Natural Antidiabetic Agents Studies (3 papers), COVID-19 Clinical Research Studies (3 papers), COVID-19 impact on air quality (3 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Infectious Diseases (464 citations), Modeling and Simulation (79 citations), Health Informatics (19 citations), Obstetrics and Gynecology (84 citations) and Animal Science and Zoology (117 citations). Senthilkumar Natesan has collaborated with scholars based in India, Indonesia and Australia. Frequent co-authors include Kuldeep Dhama, Yashpal Singh Malik, Ruchi Tiwari, Khan Sharun, Kranti Vora, Mohd. Iqbal Yatoo, Shailesh Kumar Patel, Harapan Harapan, Shrishailappa Badami and Raj Kumar Singh. Their work appears in journals such as Human Vaccines & Immunotherapeutics, Veterinary Quarterly, Journal of Pharmacological Sciences, Journal of Travel Medicine and PLoS ONE.

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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