Dileep Kumar
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
Papers in
- Nephrology 13
- Renal Diseases and Glomerulopathies 12
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- Renal and related cancers 3
- Co-authors
- Syed Ibrahim Rizvi (16 shared papers)Pravin C. Singhal (17 shared papers)Ashwani Malhotra (10 shared papers)Brahm Kumar Tiwari (1 shared paper)Divya Salhan (7 shared papers)Partab Rai (7 shared papers)Praveen Chander (6 shared papers)Anju Yadav (5 shared papers)
- Journals
- Experimental and Molecular Pathology (4 papers)American Journal of Physiology-Renal Physiology (4 papers)Renal Failure (3 papers)American Journal Of Pathology (2 papers)Archives of Physiology and Biochemistry (2 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Dileep Kumar
44 papers receiving 669 citations
Peers
Comparison fields: 5 of 84
- Nephrology 123
- Biological Psychiatry 22
- Virology 39
- Biochemistry 45
- Genetics 66
Countries citing papers authored by Dileep Kumar
This map shows the geographic impact of Dileep 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 Dileep Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dileep Kumar more than expected).
Fields of papers citing papers by Dileep Kumar
This network shows the impact of papers produced by Dileep 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 Dileep Kumar. The network helps show where Dileep Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Dileep 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 82 | |
| 2 | 2014 | 57 | |
| 3 | 2009 | 46 | |
| 4 | 2014 | 39 | |
| 5 | 2010 | 35 | |
| 6 | 2009 | 30 | |
| 7 | 2013 | 25 | |
| 8 | 2011 | 24 | |
| 9 | 2013 | 23 | |
| 10 | 2013 | 22 | |
| 11 | 2016 | 21 | |
| 12 | 2010 | 21 | |
| 13 | 2014 | 19 | |
| 14 | 2014 | 18 | |
| 15 | 2014 | 18 | |
| 16 | 2013 | 18 | |
| 17 | 2012 | 18 | |
| 18 | 2015 | 16 | |
| 19 | 2011 | 14 | |
| 20 | 2009 | 14 |
About Dileep Kumar
Dileep Kumar is a scholar working on Nephrology, Molecular Biology, Pathology and Forensic Medicine, Plant Science and Virology, having authored 46 papers that have together received 685 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (12 papers), HIV Research and Treatment (4 papers), Tea Polyphenols and Effects (4 papers), Renal and related cancers (3 papers), Genetic and Kidney Cyst Diseases (3 papers), Natural Antidiabetic Agents Studies (3 papers), HIV/AIDS drug development and treatment (3 papers) and HIV-related health complications and treatments (3 papers). The work is most often cited by research in Nephrology (123 citations), Biological Psychiatry (22 citations), Virology (39 citations), Biochemistry (45 citations) and Genetics (66 citations). Dileep Kumar has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Syed Ibrahim Rizvi, Pravin C. Singhal, Ashwani Malhotra, Brahm Kumar Tiwari, Divya Salhan, Partab Rai, Praveen Chander, Anju Yadav, Mohammad Husain and Nidhi Jaiswal. Their work appears in journals such as Experimental and Molecular Pathology, American Journal of Physiology-Renal Physiology, Renal Failure, American Journal Of Pathology and Archives of Physiology and Biochemistry.
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.