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 6
- Food Science 15
- Probiotics and Fermented Foods 8
- Co-authors
- T. Satyanarayana (5 shared papers)Ben Caplin (1 shared paper)Andrew Davenport (1 shared paper)D. Channe Gowda (7 shared papers)Andrew P. McMahon (4 shared papers)Krishne Gowda (4 shared papers)Xianzhu Wu (4 shared papers)Anil Kumar Puniya (3 shared papers)
- Journals
- PLoS ONE (4 papers)Journal of Food Science and Technology (3 papers)Journal of Food Science (2 papers)ACS Omega (2 papers)Journal of Food Processing and Preservation (2 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Sanjeev Kumar
90 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 147
- Nephrology 596
- Transplantation 71
- Immunology 511
- Biotechnology 183
- Biological Psychiatry 44
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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 349 | |
| 2 | 2017 | 264 | |
| 3 | 2017 | 211 | |
| 4 | 2011 | 164 | |
| 5 | 2014 | 142 | |
| 6 | 2010 | 142 | |
| 7 | 2010 | 112 | |
| 8 | 2009 | 109 | |
| 9 | 2017 | 70 | |
| 10 | 2009 | 64 | |
| 11 | 2019 | 61 | |
| 12 | 2020 | 60 | |
| 13 | 1995 | 57 | |
| 14 | 2004 | 54 | |
| 15 | 2016 | 51 | |
| 16 | 2003 | 50 | |
| 17 | 2019 | 44 | |
| 18 | 2009 | 44 | |
| 19 | 2008 | 43 | |
| 20 | 1990 | 42 |
About Sanjeev Kumar
Sanjeev Kumar is a scholar working on Molecular Biology, Food Science, Nephrology, Immunology and Public Health, Environmental and Occupational Health, having authored 95 papers that have together received 3.0k indexed citations. Recurring topics across this work include Malaria Research and Control (11 papers), Dialysis and Renal Disease Management (9 papers), Probiotics and Fermented Foods (8 papers), Enzyme Production and Characterization (8 papers), Protein Hydrolysis and Bioactive Peptides (6 papers), Biofuel production and bioconversion (5 papers), Chronic Kidney Disease and Diabetes (5 papers) and Complement system in diseases (5 papers). The work is most often cited by research in Nephrology (596 citations), Transplantation (71 citations), Immunology (511 citations), Biotechnology (183 citations) and Biological Psychiatry (44 citations). Sanjeev Kumar has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include T. Satyanarayana, Ben Caplin, Andrew Davenport, D. Channe Gowda, Andrew P. McMahon, Krishne Gowda, Xianzhu Wu, Anil Kumar Puniya, Tejpal Dhewa and Monica Puniya. Their work appears in journals such as PLoS ONE, Journal of Food Science and Technology, Journal of Food Science, ACS Omega and Journal of Food Processing and Preservation.
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.