Subodh Kumar Samrat

725 citations
24 papers · 507 indexed · 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

23 papers receiving 495 citations

Peers

Subodh Kumar Samrat
Comparison fields: 5 of 77
  • Infectious Diseases 220
  • Virology 34
  • Hepatology 28
  • Animal Science and Zoology 34
  • Immunology 67
Replace Dongrong Yi with:
Dongrong Yi China
Chonsaeng Kim South Korea
Fabian Elgner Germany
Lindsay Lundberg United States
Kavya Swaminathan United States
Cécile Bussetta France
Simone La Frazia Italy
Tianhong Zhang China
Rubén Soto-Acosta United States
Subodh Kumar Samrat relative to Dongrong Yi China Dongrong Yi's profile →
Citations per field
00.5×1.5×2.3×
Dongrong Yi · 1×
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
#Work
1 20250
2 202314
3 20236
4 202233
5 202225
6 202118
7 2020112
8 202032
9 202039
10 20181
11 201610
12 201612
13 20157
14 20146
15 201415
16 20148
17 20105
18
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
19 200835
20 200666

About Subodh Kumar Samrat

Subodh Kumar Samrat is a scholar working on Virology, Hepatology, Infectious Diseases, Immunology and Animal Science and Zoology, having authored 24 papers that have together received 507 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), SARS-CoV-2 and COVID-19 Research (4 papers), interferon and immune responses (4 papers), Virus-based gene therapy research (4 papers), Computational Drug Discovery Methods (3 papers) and Animal Virus Infections Studies (3 papers). The work is most often cited by research in Infectious Diseases (220 citations), Virology (34 citations), Hepatology (28 citations), Animal Science and Zoology (34 citations) and Immunology (67 citations). Subodh Kumar Samrat has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Zhong Li, Hongmin Li, Anil Mathew Tharappel, Jia Zhou, Jimin Xu, Niraikulam Ayyadurai, M. Manohar, N. Sakthivel, Haidong Gu and Yi Zheng. Their work appears in journals such as ACS Infectious Diseases, Journal of Virology, Emerging Microbes & Infections, PLoS ONE and Virus 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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