Sanjeev Kumar
Impact in
- Nephrology top 1%
- Dialysis and Renal Disease Management
- Acute Kidney Injury Research
- Transplantation top 5%
Papers in
-
- Protein Hydrolysis and Bioactive Peptides 7
- Co-authors
- T. Satyanarayana (6 shared papers)Andrew Davenport (1 shared paper)Ben Caplin (1 shared paper)D. Channe Gowda (7 shared papers)Andrew P. McMahon (4 shared papers)Anil Kumar Puniya (5 shared papers)Krishne Gowda (4 shared papers)Xianzhu Wu (4 shared papers)
- Journals
- PLoS ONE (4 papers)Journal of Food Science and Technology (3 papers)Nephron Clinical Practice (2 papers)Nucleic Acids Research (2 papers)World Journal of Microbiology and Biotechnology (2 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Sanjeev Kumar
96 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 151
- Nephrology 534
- Transplantation 63
- Biotechnology 201
- Immunology 452
- Biological Psychiatry 42
Countries citing papers authored by Sanjeev Kumar
This map shows the geographic impact of Sanjeev 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 Sanjeev Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjeev Kumar more than expected).
Fields of papers citing papers by Sanjeev Kumar
This network shows the impact of papers produced by Sanjeev 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 Sanjeev Kumar. The network helps show where Sanjeev Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Sanjeev 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 366 | |
| 2 | 2017 | 283 | |
| 3 | 2017 | 221 | |
| 4 | 2011 | 168 | |
| 5 | 2014 | 145 | |
| 6 | 2010 | 144 | |
| 7 | 2010 | 118 | |
| 8 | 2009 | 111 | |
| 9 | 2017 | 73 | |
| 10 | 2020 | 68 | |
| 11 | 2009 | 67 | |
| 12 | 2019 | 62 | |
| 13 | 1995 | 61 | |
| 14 | 2003 | 60 | |
| 15 | 2004 | 59 | |
| 16 | 2016 | 53 | |
| 17 | 2019 | 49 | |
| 18 | 1990 | 47 | |
| 19 | 2009 | 46 | |
| 20 | 2008 | 44 |
About Sanjeev Kumar
Sanjeev Kumar is a scholar working on Molecular Biology, Plant Science, Food Science, Public Health, Environmental and Occupational Health and Biotechnology, having authored 100 papers that have together received 3.2k indexed citations. Recurring topics across this work include Malaria Research and Control (11 papers), Enzyme Production and Characterization (10 papers), Probiotics and Fermented Foods (8 papers), Protein Hydrolysis and Bioactive Peptides (7 papers), Biofuel production and bioconversion (6 papers), Dialysis and Renal Disease Management (5 papers), Microbial Metabolites in Food Biotechnology (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Nephrology (534 citations), Transplantation (63 citations), Biotechnology (201 citations), Immunology (452 citations) and Biological Psychiatry (42 citations). Sanjeev Kumar has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include T. Satyanarayana, Andrew Davenport, Ben Caplin, D. Channe Gowda, Andrew P. McMahon, Anil Kumar Puniya, Krishne Gowda, Xianzhu Wu, Tejpal Dhewa and Monica Puniya. Their work appears in journals such as PLoS ONE, Journal of Food Science and Technology, Nephron Clinical Practice, Nucleic Acids Research and World Journal of Microbiology and Biotechnology.
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.