Devika Nair

38 papers receiving 651 citations

Peers

Devika Nair
Comparison fields: 5 of 98
  • Nephrology 134
  • Endocrinology, Diabetes and Metabolism 118
  • Behavioral Neuroscience 21
  • Family Practice 12
  • General Health Professions 128
Replace Ermeg L. Akylbekova with:
Ermeg L. Akylbekova United States
Shayan Shirazian United States
Richard L. Bauer United States
Heba Alwan Switzerland
Claus Bistrup Denmark
Edelmiro Menéndez Torre Spain
Page C. Moore United States
Rebecca A. Speckman United States
Hilary H. Colwell United States
Sean McElligott United States
Devika Nair relative to Ermeg L. Akylbekova United States Ermeg L. Akylbekova's profile →
Citations per field
00.5×
Ermeg L. Akylbekova · 1×
Citations per year

Countries citing papers authored by Devika Nair

Since Specialization
Citations

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

Fields of papers citing papers by Devika Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Devika Nair, 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 Devika Nair Line = papers co-authored together Devika Nair links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011120
2 201089
3 201951
4 202142
5 201934
6 202034
7
Screening for TORCH infections in pregnant women: a report from Delhi.
199933
8 202232
9 201930
10 200321
11 202220
12 202419
13 201919
14 202216
15 202014
16 202212
17 20208
18 20248
19 20208
20 20206

About Devika Nair

Devika Nair is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism, General Health Professions, Biological Psychiatry and Transplantation, having authored 43 papers that have together received 665 indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (11 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers), Chronic Disease Management Strategies (5 papers), Healthcare cost, quality, practices (4 papers), Cardiac Health and Mental Health (4 papers), Heart Failure Treatment and Management (3 papers), Diabetes Management and Education (3 papers) and Palliative Care and End-of-Life Issues (3 papers). The work is most often cited by research in Nephrology (134 citations), Endocrinology, Diabetes and Metabolism (118 citations), Behavioral Neuroscience (21 citations), Family Practice (12 citations) and General Health Professions (128 citations). Devika Nair has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Philip J. Kadowitz, Megan Partyka, Khalid Matrougui, Souad Belmadani, Kerri L. Cavanaugh, John Devin Peipert, F. Perry Wilson, Ali H. Amin, Zakaria Y. Abd Elmageed and Modar Kassan. Their work appears in journals such as Clinical Journal of the American Society of Nephrology, BMC Nephrology, Kidney Medicine, Journal of the American Society of Nephrology and Seminars in 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026