Sunil Sethi

1.6k citations
40 papers · 975 indexed · 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

39 papers receiving 947 citations

Peers

Sunil Sethi
Comparison fields: 5 of 116
  • Nephrology 347
  • Infectious Diseases 162
  • Cardiology and Cardiovascular Medicine 196
  • Endocrinology, Diabetes and Metabolism 106
  • Epidemiology 164
Replace Pietro Pozzoni with:
Pietro Pozzoni Italy
Jeffrey S. Zaltzman Canada
Arnaud D. Kazé United States
Benaya Rozen‐Zvi Israel
Rhys Evans United Kingdom
Shahriari Ali Reza Iran
Kevin Bryan Lo United States
Marcelo Mazza do Nascimento Brazil
Wisit Kaewput Thailand
Pei‐Chun Fan Taiwan
Sunil Sethi relative to Pietro Pozzoni Italy Pietro Pozzoni's profile →
Citations per field
00.5×3.0×
Pietro Pozzoni · 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-authorship network

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
#Work
1 20240
2 20212
3 20203
4 20174
5 201611
6 20161
7 20165
8 201552
9 20153
10
Rapid detection of Brucella by an automated blood culture system at a tertiary care hospital of north India
20148
11 201426
12 201414
13 201310
14 201318
15 201210
16 2011217
17 20097
18 20046
19 200229
20 199338

About Sunil Sethi

Sunil Sethi is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism, Ophthalmology, Physiology and Cardiology and Cardiovascular Medicine, having authored 40 papers that have together received 975 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (11 papers), Dialysis and Renal Disease Management (9 papers), Clinical Laboratory Practices and Quality Control (6 papers), Renal Diseases and Glomerulopathies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Retinal Diseases and Treatments (3 papers), COVID-19 Clinical Research Studies (3 papers) and Body Composition Measurement Techniques (3 papers). The work is most often cited by research in Nephrology (347 citations), Infectious Diseases (162 citations), Cardiology and Cardiovascular Medicine (196 citations), Endocrinology, Diabetes and Metabolism (106 citations) and Epidemiology (164 citations). Sunil Sethi has collaborated with scholars based in Singapore, United States and Australia. Frequent co-authors include Boon Wee Teo, Evan J.C. Lee, Jialiang Li, Borys Shuter, Huiyan Xu, Arvind Sinha, Danhua Wang, Sharon Saw, Karen Tan and Richard J. Glassock. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Analytical and Bioanalytical Chemistry, Nephrology, Clinical Infectious Diseases and Clinical Journal of the American Society 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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2026