Sonal Kothari
- Biophysics top 2%
- Dermatology top 5%
- Cell Biology top 5%
- melanin and skin pigmentation 3
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- Digital Imaging for Blood Diseases 6
- Artificial Intelligence top 5%
- AI in cancer detection 12
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- Radiomics and Machine Learning in Medical Imaging 6
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- Oral microbiology and periodontitis research 4
- Oral Health Pathology and Treatment 3
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- Colorectal Cancer Screening and Detection 3
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- Biochemical Analysis and Sensing Techniques 3
- Co-authors
- May D. WangJohn H. PhanKarin U. SchallreuterJennifer SpencerBhaven ChavanTodd H. StokesQaiser ChaudryAndrew N. Young
- Cited by
- BiophysicsDermatologyCell Biology
- Journals
- Biochemical and Biophysical Research Communications (2 papers)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
27 papers receiving 987 citations
Peers
Comparison fields: 5 of 129
- Biophysics 198
- Dermatology 151
- Cell Biology 273
- Computer Vision and Pattern Recognition 311
- Artificial Intelligence 430
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2021 | 4 | |
| 3 | 2020 | 1 | |
| 4 | 2016 | 3 | |
| 5 | 2016 | 13 | |
| 6 | 2016 | 2 | |
| 7 | 2014 | 0 | |
| 8 | 2014 | 7 | |
| 9 | 2013 | 54 | |
| 10 | 2013 | 47 | |
| 11 | 2013 | 48 | |
| 12 | 2013 | 186 | |
| 13 | 2013 | 2 | |
| 14 | 2011 | 18 | |
| 15 | 2011 | 75 | |
| 16 | 2011 | 20 | |
| 17 | 2009 | 94 | |
| 18 | 2008 | 270 | |
| 19 | 2004 | 43 | |
| 20 | 2003 | 21 |
About Sonal Kothari
Sonal Kothari is a scholar working on Periodontics, General Dentistry, Complementary and Manual Therapy, Medical Laboratory Technology and Oral Surgery, having authored 29 papers that have together received 1.0k indexed citations. Recurring topics across this work include AI in cancer detection (12 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Digital Imaging for Blood Diseases (6 papers), Oral microbiology and periodontitis research (4 papers), melanin and skin pigmentation (3 papers), Colorectal Cancer Screening and Detection (3 papers), Biochemical Analysis and Sensing Techniques (3 papers) and Oral Health Pathology and Treatment (3 papers). The work is most often cited by research in Biophysics (198 citations), Dermatology (151 citations), Cell Biology (273 citations), Computer Vision and Pattern Recognition (311 citations) and Artificial Intelligence (430 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, Jennifer Spencer, Bhaven Chavan, 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 Pathology Informatics, IEEE Journal of Biomedical and Health Informatics, Journal of the American Medical Informatics Association and Experimental Dermatology.
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.