Devaki Nair

2.8k citations
53 papers · 1.8k indexed · h-index 23

Devaki Nair

51 papers receiving 1.8k citations

Peers

Devaki Nair
Comparison fields: 5 of 109
  • Nephrology 180
  • Hepatology 180
  • Cardiology and Cardiovascular Medicine 480
  • Surgery 708
  • Pathology and Forensic Medicine 277
Replace Robert Cramb with:
Robert Cramb United Kingdom
Pi‐Jung Hsiao Taiwan
Hans‐H. Neumayer Germany
Kap Bum Huh South Korea
Pedro Moreno Spain
Beatriz Fernández‐Fernández Spain
Masayuki Koyama Japan
Liliana Grigore Italy
Pia Clara Pafundi Italy
Marcelo Costa Batista Brazil
Devaki Nair relative to Robert Cramb United Kingdom Robert Cramb's profile →
Citations per field
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Robert Cramb · 1×
Citations per year

Countries citing papers authored by Devaki Nair

Since Specialization
Citations

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

Fields of papers citing papers by Devaki Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20199
2 201926
3 201945
4 201822
5 20187
6 201812
7 201756
8 20174
9 201511
10 201515
11 20142
12 201489
13 20103
14 201051
15 201038
16 2010127
17 20095
18 2006222
19 20052
20 199127

About Devaki Nair

Devaki Nair is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism, Virology, Emergency Medicine and Cancer Research, having authored 53 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (13 papers), Cancer, Lipids, and Metabolism (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Chronic Kidney Disease and Diabetes (7 papers), HIV-related health complications and treatments (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Blood Pressure and Hypertension Studies (4 papers). The work is most often cited by research in Nephrology (180 citations), Hepatology (180 citations), Cardiology and Cardiovascular Medicine (480 citations), Surgery (708 citations) and Pathology and Forensic Medicine (277 citations). Devaki Nair has collaborated with scholars based in United Kingdom, Greece and Serbia. Frequent co-authors include Steve E. Humphries, Mahtab Sharifi, Dimitri P. Mikhailidis, Marta Futema, Dimitri P. Mikhailidis, Colette Smith, Niki Katsiki, Irene F. Gazi, Clare Das and Christopher P. Denton. Their work appears in journals such as Current Opinion in Cardiology, Current Pharmaceutical Design, Atherosclerosis, Journal of Hepatology and Archives of Medical Science.

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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