Sunil Kohli

446 citations
34 papers · 208 · h-index 9

Impact in

    • Advanced Glycation End Products research
    • Bacterial Identification and Susceptibility Testing
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Antimicrobial Resistance in Staphylococcus
    • SARS-CoV-2 detection and testing

Papers in

    • Antimicrobial Resistance in Staphylococcus 3
    • SARS-CoV-2 and COVID-19 Research 2
    • SARS-CoV-2 detection and testing 2
    • Diagnosis and treatment of tuberculosis 2

Sunil Kohli

31 papers receiving 207 citations

Peers

Sunil Kohli
Comparison fields: 5 of 72
  • Clinical Biochemistry 24
  • Infectious Diseases 63
  • Biological Psychiatry 6
  • Applied Microbiology and Biotechnology 4
  • Molecular Medicine 7
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Humaira Shafi Singapore
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Citations per field
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Citations per year

Countries citing papers authored by Sunil Kohli

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Kohli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202038
2 202119
3 202016
4 202013
5 202013
6 202012
7 20229
8 20219
9 20229
10 20258
11
FNAC of head & neck lesions and its utility in clinical diagnosis: a study of 290 cases “ -
20158
12 20247
13 20237
14 20255
15 20225
16 20224
17 20173
18 20233
19 20183
20 20242

About Sunil Kohli

Sunil Kohli is a scholar working on Infectious Diseases, Surgery, Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 34 papers that have together received 208 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (3 papers), Diabetes Management and Research (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Malaria Research and Control (2 papers), Diagnosis and treatment of tuberculosis (2 papers), Diabetes Management and Education (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and SARS-CoV-2 detection and testing (2 papers). The work is most often cited by research in Clinical Biochemistry (24 citations), Infectious Diseases (63 citations), Biological Psychiatry (6 citations), Applied Microbiology and Biotechnology (4 citations) and Molecular Medicine (7 citations). Sunil Kohli has collaborated with scholars based in India, Germany and Switzerland. Frequent co-authors include Nidhi Agarwal, Mridu Dudeja, Salma Jamal, Seyed E. Hasnain, Mohd Khubaib, Pratima Ray, Divya Vohora, Hina Singh, Javaid Ahmad Sheikh and Syed Asad Rahman. Their work appears in journals such as Nutritional Neuroscience, International Journal of Microbiology Research, Journal of Clinical Nursing, Calcified Tissue International and Diabetes Research and Clinical Practice.

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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