Sunil Mathur
Impact in
- Health Informatics top 10%
Papers in
-
- Gene expression and cancer classification 5
- Bioinformatics and Genomic Networks 4
- Ubiquitin and proteasome pathways 3
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- Advanced Statistical Methods and Models 6
- Statistical Distribution Estimation and Applications 4
- Statistical Methods and Inference 4
- Co-authors
- Joseph Sutton (1 shared paper)Clare Hoskins (1 shared paper)R. C. L. FENELEY (4 shared papers)D.J. Stickler (3 shared papers)Marc T. E. Suller (2 shared papers)Anthony G. Timoney (2 shared papers)Katie J. Suda (2 shared papers)Mumtaz V. Rojiani (1 shared paper)
- Journals
- British Journal of Urology (4 papers)Statistical Methods in Medical Research (2 papers)Biomedical Reports (2 papers)Life Science Alliance (1 paper)CHEST Journal (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Sunil Mathur
44 papers receiving 871 citations
Peers
Comparison fields: 5 of 152
- Health Informatics 15
- Research and Theory 8
- Urology 45
- Molecular Medicine 28
- Leadership and Management 6
Countries citing papers authored by Sunil Mathur
This map shows the geographic impact of Sunil Mathur'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 Mathur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil Mathur more than expected).
Fields of papers citing papers by Sunil Mathur
This network shows the impact of papers produced by Sunil Mathur. 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 Mathur. The network helps show where Sunil Mathur may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunil Mathur, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 252 | |
| 2 | 2017 | 197 | |
| 3 | 2015 | 39 | |
| 4 | 2014 | 39 | |
| 5 | 2005 | 38 | |
| 6 | 2016 | 36 | |
| 7 | 2019 | 28 | |
| 8 | 2006 | 27 | |
| 9 | 2013 | 26 | |
| 10 | 2006 | 26 | |
| 11 | 2018 | 24 | |
| 12 | 2016 | 22 | |
| 13 | 2007 | 18 | |
| 14 | 2023 | 14 | |
| 15 | 2011 | 11 | |
| 16 | 2008 | 9 | |
| 17 | 2020 | 7 | |
| 18 | 2017 | 7 | |
| 19 | 2016 | 6 | |
| 20 | 2022 | 5 |
About Sunil Mathur
Sunil Mathur is a scholar working on Molecular Biology, Statistics and Probability, Epidemiology, Oncology and Genetics, having authored 55 papers that have together received 899 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (6 papers), Urinary Tract Infections Management (5 papers), Gene expression and cancer classification (5 papers), Statistical Distribution Estimation and Applications (4 papers), Statistical Methods and Inference (4 papers), Remote-Sensing Image Classification (4 papers), Bioinformatics and Genomic Networks (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Health Informatics (15 citations), Research and Theory (8 citations), Urology (45 citations), Molecular Medicine (28 citations) and Leadership and Management (6 citations). Sunil Mathur has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Joseph Sutton, Clare Hoskins, R. C. L. FENELEY, D.J. Stickler, Marc T. E. Suller, Anthony G. Timoney, Katie J. Suda, Mumtaz V. Rojiani, Ammar Kutiyanawalla and Amyn M. Rojiani. Their work appears in journals such as British Journal of Urology, Statistical Methods in Medical Research, Biomedical Reports, Life Science Alliance and CHEST Journal.
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.