Sunil Sethi

3.4k total citations
148 papers, 2.3k citations indexed

About

Sunil Sethi is a scholar working on Epidemiology, Infectious Diseases and Surgery. According to data from OpenAlex, Sunil Sethi has authored 148 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Epidemiology, 60 papers in Infectious Diseases and 38 papers in Surgery. Recurrent topics in Sunil Sethi's work include Tuberculosis Research and Epidemiology (38 papers), Mycobacterium research and diagnosis (34 papers) and Reproductive tract infections research (30 papers). Sunil Sethi is often cited by papers focused on Tuberculosis Research and Epidemiology (38 papers), Mycobacterium research and diagnosis (34 papers) and Reproductive tract infections research (30 papers). Sunil Sethi collaborates with scholars based in India, Singapore and United States. Sunil Sethi's co-authors include Meera Sharma, Evelyn SC Koay, Lee Lee Wong, Dao-Hai Zhang, Lily-Lily Chiu, Rakesh Yadav, Tze Ping Loh, Abhishek Mewara, Sharon Saw and Rakesh Yadav and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Chemistry.

In The Last Decade

Sunil Sethi

139 papers receiving 2.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sunil Sethi India 27 780 613 527 408 313 148 2.3k
Jorge Cervantes United States 24 515 0.7× 408 0.7× 583 1.1× 256 0.6× 202 0.6× 129 2.1k
Richard Lottenberg United States 34 562 0.7× 499 0.8× 681 1.3× 270 0.7× 129 0.4× 96 4.9k
Stefano Giulieri Switzerland 23 815 1.0× 900 1.5× 634 1.2× 347 0.9× 177 0.6× 48 2.4k
Elizabeth A. Wagar United States 32 375 0.5× 789 1.3× 659 1.3× 233 0.6× 1.0k 3.3× 80 3.0k
Devinder Mohan Thappa India 32 552 0.7× 953 1.6× 363 0.7× 496 1.2× 133 0.4× 361 4.2k
Carlo Contini Italy 25 496 0.6× 798 1.3× 243 0.5× 272 0.7× 223 0.7× 169 2.3k
Patricia Martín France 29 451 0.6× 632 1.0× 1.4k 2.6× 167 0.4× 240 0.8× 85 3.2k
Chulhun L. Chang South Korea 28 1.1k 1.4× 1.2k 2.0× 579 1.1× 391 1.0× 95 0.3× 192 2.5k
Chamsai Pientong Thailand 27 242 0.3× 752 1.2× 553 1.0× 363 0.9× 130 0.4× 123 2.1k
Robert Harrington United States 30 1.0k 1.3× 1.1k 1.8× 288 0.5× 244 0.6× 92 0.3× 93 3.3k

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 of co-authors of Sunil Sethi

This figure shows the co-authorship network connecting the top 25 collaborators of Sunil Sethi. A scholar is included among the top collaborators of Sunil Sethi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sunil Sethi. Sunil Sethi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sethi, Sunil, et al.. (2025). Prevalence & determinants of soil-transmitted helminth infection among 1-15 year-olds in a tribal-dominated district of Odisha, India. The Indian Journal of Medical Research. 161(6). 617–626.
2.
Jauhar, Sunil Kumar, et al.. (2024). Artificial intelligence and machine learning-based decision support system for forecasting electric vehicles' power requirement. Technological Forecasting and Social Change. 204. 123396–123396. 16 indexed citations
3.
Sharma, Kusum, Archana Angrup, Anup Ghosh, et al.. (2024). Evaluation of VITEK MS Version 3.0 MALDI-TOF for the identification of anaerobes, mycobacteria, Nocardia, and moulds. Diagnostic Microbiology and Infectious Disease. 110(4). 116477–116477. 3 indexed citations
4.
Soh, Sheila, Tze Ping Loh, Sharon Saw, et al.. (2024). A curious case of a negative control line on a dengue duo assay due to interference – A case report. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 62(2). 148–152.
5.
Bharti, Bharti, Pargat Singh, Priya Bhardwaj, et al.. (2023). Bifunctionalized nanobioprobe based rapid color-shift assay for typhoid targeting Vi capsular polysaccharide. Biosensors and Bioelectronics. 228. 115195–115195. 3 indexed citations
6.
Tan, Hwee Tong, et al.. (2023). Evaluation of low-density lipoprotein cholesterol equations by cross-platform assessment of accuracy-based EQA data against SI-traceable reference value. Clinical Chemistry and Laboratory Medicine (CCLM). 61(10). 1808–1819.
7.
Pannu, Ashok Kumar, et al.. (2023). Cerebrospinal Fluid Adenosine Deaminase for the Diagnosis of Tuberculous Meningitis. Biomarkers in Medicine. 17(4). 209–218. 4 indexed citations
8.
Satapathy, Prakasini, Radha Kanta Ratho, & Sunil Sethi. (2022). Immunopathogenesis in SARS-CoV-2 and Mycobacterium tuberculosis: The danger of overlapping crises. Frontiers in Pharmacology. 13. 1065124–1065124. 2 indexed citations
9.
Tan, Shaun Shi Yan, Sharon Saw, Ka Lip Chew, et al.. (2020). Head-to-head evaluation on diagnostic accuracies of six SARS-CoV-2 serological assays. Pathology. 52(7). 770–777. 28 indexed citations
10.
Sethi, Sunil, Kamran Zaman, & Neha Jain. (2017). <em>Mycoplasma genitalium</em> infections: current treatment options and resistance issues. Infection and Drug Resistance. Volume 10. 283–292. 40 indexed citations
11.
Sethi, Sunil, Khalequ Zaman, & Neha Jain. (2017). Mycoplasma genitalium infections: current treatment options and resistance issues. SHILAP Revista de lepidopterología. 4 indexed citations
12.
Sethi, Sunil, et al.. (2017). Detection of Chlamydia trachomatis infections by polymerase chain reaction in asymptomatic pregnant women with special reference to the utility of the pooling of urine specimens. The Indian Journal of Medical Research. 146(Suppl 1). S59–S63. 10 indexed citations
13.
Loh, Tze Ping, Sunil Sethi, & Michael Metz. (2015). Paediatric reference interval and biological variation trends of thyrotropin (TSH) and free thyroxine (T4) in an Asian population. Journal of Clinical Pathology. 68(8). 642–647. 18 indexed citations
14.
Sethi, Sunil, et al.. (2015). Association of Mycoplasma genitalium with infertility in North Indian women. Indian Journal of Sexually Transmitted Diseases and AIDS. 36(2). 144–144. 13 indexed citations
15.
16.
Sethi, Sunil, Abhishek Mewara, Sunil Kumar Dhatwalia, et al.. (2013). Prevalence of multidrug resistance in Mycobacterium tuberculosis isolates from HIV seropositive and seronegative patients with pulmonary tuberculosis in north India. BMC Infectious Diseases. 13(1). 137–137. 53 indexed citations
17.
Jarausch, Jochen, S Braun, Alberto Dolci, et al.. (2008). Evaluation of a development version of the elecsys high sensitive troponin T assay. 54. 5 indexed citations
18.
Sethi, Sunil, et al.. (2005). Evaluation of intrathecal neostigmine for postoperative analgesia. Journal of Anaesthesiology Clinical Pharmacology. 21(1). 419. 5 indexed citations
19.
Lü, Fang, Heming Wei, Jie Song, et al.. (2005). Association of Leu125Val polymorphism of platelet endothelial cell adhesion molecule-1 (PECAM-1) gene & soluble level of PECAM-1 with coronary artery disease in Asian Indians.. PubMed. 121(2). 92–9. 37 indexed citations
20.

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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