Jitendra Kumar
Impact in
- Nephrology top 10%
- Renal Diseases and Glomerulopathies
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- Complement system in diseases
Papers in
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- ATP Synthase and ATPases Research 2
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- Glaucoma and retinal disorders 4
- Co-authors
- Arvind Sahu (2 shared papers)Antara Datta (1 shared paper)Sharmistha Pal (1 shared paper)Romy Yun (1 shared paper)Lynne Lacomis (1 shared paper)Paul Tempst (1 shared paper)Hediye Erdjument‐Bromage (1 shared paper)Saı̈d Sif (1 shared paper)
- Journals
- Molecules (2 papers)Journal of Biological Chemistry (2 papers)Nature Communications (1 paper)Anti-Cancer Agents in Medicinal Chemistry (1 paper)Journal of Virology (1 paper)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Jitendra Kumar
38 papers receiving 749 citations
Peers
Comparison fields: 5 of 95
- Nephrology 57
- Immunology 139
- Ophthalmology 55
- Molecular Biology 373
- Oncology 102
Countries citing papers authored by Jitendra Kumar
This map shows the geographic impact of Jitendra 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 Jitendra Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jitendra Kumar more than expected).
Fields of papers citing papers by Jitendra Kumar
This network shows the impact of papers produced by Jitendra 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 Jitendra Kumar. The network helps show where Jitendra Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Jitendra 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 198 | |
| 2 | 2017 | 131 | |
| 3 | 2021 | 92 | |
| 4 | 2006 | 79 | |
| 5 | 2003 | 47 | |
| 6 | A prospective study of 413 cases of lens-induced glaucoma in Nepal. | 2001 | 43 |
| 7 | 2009 | 22 | |
| 8 | 2009 | 20 | |
| 9 | 2022 | 17 | |
| 10 | 2016 | 13 | |
| 11 | Learning phacoemulsification. Results of different teaching methods. | 2004 | 13 |
| 12 | 2010 | 12 | |
| 13 | 2023 | 12 | |
| 14 | 2023 | 12 | |
| 15 | 2003 | 10 | |
| 16 | 2023 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 2003 | 7 | |
| 19 | 1993 | 6 | |
| 20 | 2017 | 6 |
About Jitendra Kumar
Jitendra Kumar is a scholar working on Molecular Biology, Ophthalmology, Radiology, Nuclear Medicine and Imaging, Epidemiology and Surgery, having authored 49 papers that have together received 795 indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (4 papers), Corneal Surgery and Treatments (3 papers), Renal Transplantation Outcomes and Treatments (2 papers), ATP Synthase and ATPases Research (2 papers), Plant-Microbe Interactions and Immunity (2 papers), Ocular Surface and Contact Lens (2 papers), Complement system in diseases (2 papers) and Corneal surgery and disorders (2 papers). The work is most often cited by research in Nephrology (57 citations), Immunology (139 citations), Ophthalmology (55 citations), Molecular Biology (373 citations) and Oncology (102 citations). Jitendra Kumar has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Arvind Sahu, Antara Datta, Sharmistha Pal, Romy Yun, Lynne Lacomis, Paul Tempst, Hediye Erdjument‐Bromage, Saı̈d Sif, Gustav Graff and Martha E. Gadd. Their work appears in journals such as Molecules, Journal of Biological Chemistry, Nature Communications, Anti-Cancer Agents in Medicinal Chemistry and Journal of Virology.
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.