Sonal Kothari
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Cell Biology top 5%
- melanin and skin pigmentation
Papers in
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- AI in cancer detection 12
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- Digital Imaging for Blood Diseases 5
- Co-authors
- May D. Wang (14 shared papers)John H. Phan (9 shared papers)Karin U. Schallreuter (3 shared papers)Bhaven Chavan (1 shared paper)Jennifer Spencer (1 shared paper)Todd H. Stokes (3 shared papers)Qaiser Chaudry (2 shared papers)Andrew N. Young (4 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)Journal of the American Medical Informatics Association (1 paper)Experimental Dermatology (1 paper)Journal of Pathology Informatics (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Sonal Kothari
28 papers receiving 996 citations
Peers
Comparison fields: 5 of 127
- Biophysics 180
- Cell Biology 272
- Dermatology 133
- Computer Vision and Pattern Recognition 291
- Artificial Intelligence 412
Countries citing papers authored by Sonal Kothari
This map shows the geographic impact of Sonal Kothari'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 Sonal Kothari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonal Kothari more than expected).
Fields of papers citing papers by Sonal Kothari
This network shows the impact of papers produced by Sonal Kothari. 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 Sonal Kothari. The network helps show where Sonal Kothari may publish in the future.
Co-authors
The 25 scholars most cited alongside Sonal Kothari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 272 | |
| 2 | 2013 | 187 | |
| 3 | 2009 | 94 | |
| 4 | 2011 | 75 | |
| 5 | 2013 | 55 | |
| 6 | 2013 | 48 | |
| 7 | 2013 | 47 | |
| 8 | 2012 | 46 | |
| 9 | 2004 | 43 | |
| 10 | 2014 | 24 | |
| 11 | 2003 | 21 | |
| 12 | 2011 | 20 | |
| 13 | 2011 | 18 | |
| 14 | 2012 | 16 | |
| 15 | 2011 | 16 | |
| 16 | 2016 | 13 | |
| 17 | 2014 | 7 | |
| 18 | 2021 | 4 | |
| 19 | 2014 | 4 | |
| 20 | 2016 | 3 |
About Sonal Kothari
Sonal Kothari is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Periodontics, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include AI in cancer detection (12 papers), Digital Imaging for Blood Diseases (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Oral microbiology and periodontitis research (4 papers), Dental Research and COVID-19 (3 papers), melanin and skin pigmentation (3 papers), Dental Health and Care Utilization (3 papers) and Biochemical Analysis and Sensing Techniques (3 papers). The work is most often cited by research in Biophysics (180 citations), Cell Biology (272 citations), Dermatology (133 citations), Computer Vision and Pattern Recognition (291 citations) and Artificial Intelligence (412 citations). Sonal Kothari has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include May D. Wang, John H. Phan, Karin U. Schallreuter, Bhaven Chavan, Jennifer Spencer, Todd H. Stokes, Qaiser Chaudry, Andrew N. Young, Adeboye O. Osunkoya and Ajay Bhambal. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of the American Medical Informatics Association, Experimental Dermatology, Journal of Pathology Informatics and IEEE Journal of Biomedical and Health Informatics.
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.