Subodh Kumar Samrat

742 citations
24 papers · 523 · h-index 13

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral Infections and Vectors
  • Virology top 10%

Papers in

Subodh Kumar Samrat

24 papers receiving 511 citations

Peers

Subodh Kumar Samrat
Comparison fields: 5 of 76
  • Infectious Diseases 209
  • Virology 33
  • Hepatology 27
  • Public Health, Environmental and Occupational Health 91
  • Animal Science and Zoology 33
Replace Simone La Frazia with:
Simone La Frazia Italy
Fabian Elgner Germany
Mary Lynn Baniecki United States
Adeline Danneels France
Jaime Guillén Spain
Diego Allonso Brazil
Kavya Swaminathan United States
Rubén Soto-Acosta United States
Sarawut Khongwichit Thailand
Dongrong Yi China
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Citations per field
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Citations per year

Countries citing papers authored by Subodh Kumar Samrat

Since Specialization
Citations

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

Fields of papers citing papers by Subodh Kumar Samrat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020115
2 200666
3 202040
4 200835
5 202234
6 202034
7 202227
8 202026
9 202121
10
Global HIV-1 molecular epidemiology with special reference to genetic analysis of HIV-1 subtypes circulating in North India: functional and pathogenic implications of genetic variation.
200916
11 201415
12 202015
13 202315
14 201612
15 201610
16 20148
17 20157
18 20237
19 20146
20 20176

About Subodh Kumar Samrat

Subodh Kumar Samrat is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Immunology, Virology and Epidemiology, having authored 24 papers that have together received 523 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (7 papers), HIV Research and Treatment (6 papers), Hepatitis C virus research (5 papers), interferon and immune responses (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Hepatitis B Virus Studies (3 papers), Malaria Research and Control (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Infectious Diseases (209 citations), Virology (33 citations), Hepatology (27 citations), Public Health, Environmental and Occupational Health (91 citations) and Animal Science and Zoology (33 citations). Subodh Kumar Samrat has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Hongmin Li, Zhong Li, Anil Mathew Tharappel, Jimin Xu, Jia Zhou, Niraikulam Ayyadurai, N. Sakthivel, Yi Zheng, Haidong Gu and M. Manohar. Their work appears in journals such as ACS Infectious Diseases, Journal of Virology, Emerging Microbes & Infections, PLoS ONE and AIDS Research and Therapy.

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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