Senthilkumar Natesan

2.0k citations
38 papers · 1.3k indexed · h-index 21

Senthilkumar Natesan

38 papers receiving 1.2k citations

Peers

Senthilkumar Natesan
Comparison fields: 5 of 149
  • Infectious Diseases 499
  • Modeling and Simulation 94
  • Health Informatics 19
  • Animal Science and Zoology 122
  • Obstetrics and Gynecology 91
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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-authorship network

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
#Work
1 20241
2 20241
3 20224
4 202143
5 20212
6 2021140
7 202115
8 202036
9 202047
10 202054
11
HYPOGLYCEMIC EFFECTS OF BARLERIA NOCTIFLORA FRACTIONS ON HIGH FAT FED WITH LOW DOSE STREPTOZOTOCIN INDUCED TYPE-2 DIABETES IN RATS
20168
12
Stem cells and their clinical/therapeutic applications in biomedical and veterinary science - the perspectives.
20132
13
One world, one health - veterinary perspectives.
201347
14 20127
15
FORMULATION DEVELOPMENT AND EVALUATION OF NAPROXEN SODIUM TABLETS USP
20102
16 200961
17 20087
18 200748
19 200712
20 200567

About Senthilkumar Natesan

Senthilkumar Natesan is a scholar working on Infectious Diseases, Virology, Behavioral Neuroscience, Business and International Management and Obstetrics and Gynecology, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (4 papers), Animal Virus Infections Studies (4 papers), Natural Antidiabetic Agents Studies (4 papers), COVID-19 Impact on Reproduction (4 papers), Viral gastroenteritis research and epidemiology (4 papers), COVID-19 impact on air quality (3 papers) and Long-Term Effects of COVID-19 (3 papers). The work is most often cited by research in Infectious Diseases (499 citations), Modeling and Simulation (94 citations), Health Informatics (19 citations), Animal Science and Zoology (122 citations) and Obstetrics and Gynecology (91 citations). Senthilkumar Natesan has collaborated with scholars based in India, Indonesia and Australia. Frequent co-authors include Kuldeep Dhama, Ruchi Tiwari, Yashpal Singh Malik, Khan Sharun, Mohd. Iqbal Yatoo, Kranti Vora, Shailesh Kumar Patel, Harapan Harapan, Shrishailappa Badami and Rajendra Singh. Their work appears in journals such as Human Vaccines & Immunotherapeutics, Journal of Pharmacological Sciences, Veterinary Quarterly, Virus Research and Phytotherapy Research.

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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