Sunil Sethi

1.6k citations
40 papers · 1.0k · h-index 16

Impact in

  • Nephrology top 2%
    • Chronic Kidney Disease and Diabetes
    • Dialysis and Renal Disease Management
    • Renal Diseases and Glomerulopathies
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing

Papers in

Sunil Sethi

40 papers receiving 995 citations

Peers

Sunil Sethi
Comparison fields: 5 of 111
  • Nephrology 302
  • Infectious Diseases 147
  • Cardiology and Cardiovascular Medicine 141
  • Endocrinology, Diabetes and Metabolism 79
  • Nutrition and Dietetics 52
Replace Reginald Gohh with:
Reginald Gohh United States
Shahriari Ali Reza Iran
Mark A. Klausner United States
Marcelo Mazza do Nascimento Brazil
Marcin Renke Poland
Pietro Pozzoni Italy
Osama Gheith Egypt
Kullaya Takkavatakarn Thailand
Antonio Buño Soto Spain
Mahboob Lessan‐Pezeshki Iran
Sunil Sethi relative to Reginald Gohh United States Reginald Gohh's profile →
Citations per field
00.5×4.7×
Reginald Gohh · 1×
Citations per year

Countries citing papers authored by Sunil Sethi

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Sethi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011223
2 2020132
3 200884
4 201470
5 201552
6 199344
7 202040
8 200230
9 201427
10 202024
11 201524
12 201124
13 201323
14 201121
15 201519
16 201316
17 201414
18 202013
19 201311
20 201211

About Sunil Sethi

Sunil Sethi is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Infectious Diseases and Physiology, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (11 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Clinical Laboratory Practices and Quality Control (3 papers), COVID-19 Clinical Research Studies (3 papers), Body Composition Measurement Techniques (2 papers), Hormonal and reproductive studies (2 papers), Heart Failure Treatment and Management (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). The work is most often cited by research in Nephrology (302 citations), Infectious Diseases (147 citations), Cardiology and Cardiovascular Medicine (141 citations), Endocrinology, Diabetes and Metabolism (79 citations) and Nutrition and Dietetics (52 citations). Sunil Sethi has collaborated with scholars based in Singapore, United States and Australia. Frequent co-authors include Boon Wee Teo, Jialiang Li, Evan J.C. Lee, Borys Shuter, Arvind Sinha, Huiyan Xu, Danhua Wang, Sharon Saw, Karen Tan and Fernando C. Fervenza. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Nephrology, Analytical and Bioanalytical Chemistry, Diabetes Research and Clinical Practice and Journal of Clinical Pathology.

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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