Sudeep Kumar
Impact in
- Parasitology top 5%
- Parasites and Host Interactions
- Biotechnology top 10%
- Enzyme Production and Characterization
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
- Co-authors
- Raju Sunagar (11 shared papers)Edmund J. Gosselin (11 shared papers)Daniel Ramà n (1 shared paper)Nilay Nandi (4 shared papers)Abul Hasan Sardar (3 shared papers)Bidyut Purkait (3 shared papers)Dharmendra Singh (2 shared papers)Ashish Kumar (2 shared papers)
- Journals
- Frontiers in Immunology (3 papers)Vaccine (2 papers)Pathogens (2 papers)Vaccines (2 papers)Molecular Microbiology (1 paper)
- Partner nations
- United StatesIndiaSpain
In The Last Decade
Sudeep Kumar
29 papers receiving 778 citations
Peers
Comparison fields: 5 of 82
- Parasitology 93
- Biotechnology 93
- Public Health, Environmental and Occupational Health 301
- Infectious Diseases 138
- Epidemiology 239
Countries citing papers authored by Sudeep Kumar
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
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.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 243 | |
| 2 | 2019 | 88 | |
| 3 | 1999 | 67 | |
| 4 | 1996 | 62 | |
| 5 | 2013 | 46 | |
| 6 | 2017 | 42 | |
| 7 | 2001 | 36 | |
| 8 | 2000 | 23 | |
| 9 | 2010 | 22 | |
| 10 | 2016 | 21 | |
| 11 | 2017 | 19 | |
| 12 | 2023 | 18 | |
| 13 | 2010 | 16 | |
| 14 | 2005 | 15 | |
| 15 | 2018 | 12 | |
| 16 | 2016 | 8 | |
| 17 | 2011 | 6 | |
| 18 | 2012 | 6 | |
| 19 | 2011 | 6 | |
| 20 | 2020 | 6 |
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 30 papers that have together received 794 indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (8 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Research on Leishmaniasis Studies (4 papers), Amoebic Infections and Treatments (4 papers), Bacteriophages and microbial interactions (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Biofuel production and bioconversion (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Parasitology (93 citations), Biotechnology (93 citations), Public Health, Environmental and Occupational Health (301 citations), Infectious Diseases (138 citations) and Epidemiology (239 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, Nilay Nandi, Abul Hasan Sardar, Bidyut Purkait, Dharmendra Singh, Ashish Kumar, Manish Kumar and Sushmita Das. Their work appears in journals such as Frontiers in Immunology, Vaccine, Pathogens, Vaccines and Molecular Microbiology.
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.