Nirupama Ramkumar

51 papers receiving 1.5k citations

Peers

Nirupama Ramkumar
Comparison fields: 5 of 104
  • Nephrology 721
  • Endocrinology, Diabetes and Metabolism 422
  • Cardiology and Cardiovascular Medicine 459
  • Transplantation 54
  • Emergency Medical Services 86
Replace Giuseppe Seminara with:
Giuseppe Seminara Italy
Saverio Parlongo Italy
Toshiyuki Nakao Japan
Daniela Leonardis Italy
Jer‐Chia Tsai Taiwan
Takashi Inenaga Japan
Danielle L. Kirkman United States
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Citations per field
00.5×4.2×
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Citations per year

Countries citing papers authored by Nirupama Ramkumar

Since Specialization
Citations

This map shows the geographic impact of Nirupama Ramkumar'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 Nirupama Ramkumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nirupama Ramkumar more than expected).

Fields of papers citing papers by Nirupama Ramkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nirupama Ramkumar. 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 Nirupama Ramkumar. The network helps show where Nirupama Ramkumar may publish in the future.

Co-authors

The 25 scholars most cited alongside Nirupama Ramkumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nirupama Ramkumar Line = papers co-authored together Nirupama Ramkumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003348
2 2003120
3 201968
4 200565
5 200565
6 200461
7 200559
8 201558
9 200457
10 201651
11 201450
12 200444
13 202239
14 201338
15 201237
16 201234
17 201833
18 201932
19 201927
20 202126

About Nirupama Ramkumar

Nirupama Ramkumar is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Nephrology, Molecular Biology and Physiology, having authored 54 papers that have together received 1.6k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (21 papers), Hormonal Regulation and Hypertension (21 papers), Ion Transport and Channel Regulation (12 papers), Dialysis and Renal Disease Management (10 papers), Sodium Intake and Health (8 papers), Chronic Kidney Disease and Diabetes (7 papers), Electrolyte and hormonal disorders (4 papers) and Nitric Oxide and Endothelin Effects (4 papers). The work is most often cited by research in Nephrology (721 citations), Endocrinology, Diabetes and Metabolism (422 citations), Cardiology and Cardiovascular Medicine (459 citations), Transplantation (54 citations) and Emergency Medical Services (86 citations). Nirupama Ramkumar has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Srinivasan Beddhu, Lisa M. Pappas, Matthew H. Samore, Donald E. Kohan, Alfred K. Cheung, Deborah Stuart, Bruce K. Gale, William L. Roberts, Shuping Wang and Gregory J. Stoddard. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Journal of the American Society of Nephrology, Journal of Renal Nutrition, American Journal of Hypertension and American Journal of Nephrology.

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.

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