Sudeep Kumar

1.1k citations
31 papers · 804 · h-index 14

Impact in

Papers in

    • Bacillus and Francisella bacterial research 8
    • SARS-CoV-2 and COVID-19 Research 8
    • Amoebic Infections and Treatments 4
    • Viral gastroenteritis research and epidemiology 3

Sudeep Kumar

29 papers receiving 788 citations

Peers

Sudeep Kumar
Comparison fields: 5 of 78
  • Parasitology 89
  • Public Health, Environmental and Occupational Health 301
  • Biotechnology 86
  • Infectious Diseases 133
  • Epidemiology 223
Replace Olivier Gorgette with:
Olivier Gorgette France
Bingbing Deng United States
Toyokazu Ishikawa Japan
Xiaoyu Sang China
Inka Sastalla United States
Amrita Saha India
Shoshana Frankenburg Israel
Pryscilla Fanini Wowk Brazil
Suganya Yongkiettrakul Thailand
Jinsheng Wen China
Sudeep Kumar relative to Olivier Gorgette France Olivier Gorgette's profile →
Citations per field
00.5×3.9×
Olivier Gorgette · 1×
Citations per year

Countries citing papers authored by Sudeep Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sudeep Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011247
2 201988
3 199967
4 199662
5 201347
6 201742
7 200136
8 200023
9 201022
10 201621
11 201719
12 202318
13 201017
14 200515
15 201812
16 20169
17 20246
18 20206
19 20116
20 20126

About Sudeep Kumar

Sudeep Kumar is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Immunology and Public Health, Environmental and Occupational Health, having authored 31 papers that have together received 804 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), Bacillus and Francisella bacterial research (8 papers), Research on Leishmaniasis Studies (4 papers), Amoebic Infections and Treatments (4 papers), Pneumonia and Respiratory Infections (3 papers), Parasitic Infections and Diagnostics (3 papers), Viral gastroenteritis research and epidemiology (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Parasitology (89 citations), Public Health, Environmental and Occupational Health (301 citations), Biotechnology (86 citations), Infectious Diseases (133 citations) and Epidemiology (223 citations). Sudeep Kumar has collaborated with scholars based in United States, India and Spain. Frequent co-authors include Raju Sunagar, Edmund J. Gosselin, Daniel Ramà n, Abul Hasan Sardar, Bidyut Purkait, Nilay Nandi, Dharmendra Singh, Sushmita Das, Ashish Kumar and Manish Kumar. Their work appears in journals such as Frontiers in Immunology, Vaccine, Pathogens, Vaccines and Journal of Bioenergetics and Biomembranes.

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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