Ramkumar Mohan
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments 6
- Nephrology top 5%
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- MicroRNA in disease regulation 4
- Obstetrics and Gynecology top 10%
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- Pancreatic function and diabetes 15
- Organ Transplantation Techniques and Outcomes 4
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- Birth, Development, and Health 5
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- Lipid Membrane Structure and Behavior 5
- Glycosylation and Glycoproteins Research 4
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- Organ Donation and Transplantation 4
- Co-authors
- Xiaoqing TangEmilyn U. AlejandroXiaomin ZhaoSabire ÖzcanYiping MaoThomas R. KleymanSeokwon JoAmber Lockridge
- Journals
- Transplantation (5 papers)Journal of Biological Chemistry (3 papers)Clinical Journal of the American Society of Nephrology (2 papers)
- Partner nations
- United StatesJapanSingapore
In The Last Decade
Ramkumar Mohan
35 papers receiving 783 citations
Peers
Comparison fields: 5 of 86
- Transplantation 57
- Nephrology 140
- Cancer Research 143
- Obstetrics and Gynecology 66
- Critical Care and Intensive Care Medicine 42
Countries citing papers authored by Ramkumar Mohan
This map shows the geographic impact of Ramkumar Mohan'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 Ramkumar Mohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramkumar Mohan more than expected).
Fields of papers citing papers by Ramkumar Mohan
This network shows the impact of papers produced by Ramkumar Mohan. 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 Ramkumar Mohan. The network helps show where Ramkumar Mohan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ramkumar Mohan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 5 | |
| 6 | 2022 | 5 | |
| 7 | 2021 | 13 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 19 | |
| 10 | 2021 | 24 | |
| 11 | 2020 | 12 | |
| 12 | 2020 | 27 | |
| 13 | 2016 | 18 | |
| 14 | 2015 | 37 | |
| 15 | 2012 | 104 | |
| 16 | 2012 | 46 | |
| 17 | 2011 | 116 | |
| 18 | 2004 | 34 | |
| 19 | 2003 | 27 | |
| 20 | 2003 | 71 |
About Ramkumar Mohan
Ramkumar Mohan is a scholar working on Transplantation, Surgery, Nephrology, Obstetrics and Gynecology and Cancer Research, having authored 35 papers that have together received 793 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (15 papers), Renal Transplantation Outcomes and Treatments (6 papers), Birth, Development, and Health (5 papers), Lipid Membrane Structure and Behavior (5 papers), Glycosylation and Glycoproteins Research (4 papers), Organ Donation and Transplantation (4 papers), MicroRNA in disease regulation (4 papers) and Organ Transplantation Techniques and Outcomes (4 papers). The work is most often cited by research in Transplantation (57 citations), Nephrology (140 citations), Cancer Research (143 citations), Obstetrics and Gynecology (66 citations) and Critical Care and Intensive Care Medicine (42 citations). Ramkumar Mohan has collaborated with scholars based in United States, Japan and Singapore. Frequent co-authors include Xiaoqing Tang, Emilyn U. Alejandro, Xiaomin Zhao, Sabire Özcan, Yiping Mao, Thomas R. Kleyman, Seokwon Jo, Amber Lockridge, Mark L. Unruh and Raúl Rojas. Their work appears in journals such as Transplantation, Journal of Biological Chemistry, Clinical Journal of the American Society of Nephrology, Diabetes and American Journal of Physiology-Renal Physiology.
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.