Ravi Mathur
Impact in
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- Spectroscopy Techniques in Biomedical and Chemical Research
Papers in
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- Gene expression and cancer classification 5
- Bioinformatics and Genomic Networks 4
- Machine Learning in Bioinformatics 1
- Genetics 3
- Genetic Associations and Epidemiology 3
- Genetic Mapping and Diversity in Plants and Animals 1
- Co-authors
- Ali Shojaie (1 shared paper)Alison A. Motsinger‐Reif (1 shared paper)Daniel M. Rotroff (1 shared paper)Jun Ma (1 shared paper)Walker H. Land (2 shared papers)Timothy J. Yeatman (3 shared papers)John Heine (3 shared papers)Xingye Qiao (1 shared paper)
- Journals
- Communications Biology (1 paper)Journal of Translational Medicine (1 paper)BioData Mining (1 paper)PLoS Genetics (1 paper)Translational Psychiatry (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Ravi Mathur
8 papers receiving 99 citations
Peers
Comparison fields: 5 of 61
- Biophysics 5
- Health Information Management 4
- Molecular Biology 58
- Analytical Chemistry 7
- Computational Theory and Mathematics 11
Countries citing papers authored by Ravi Mathur
This map shows the geographic impact of Ravi 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 Ravi Mathur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi Mathur more than expected).
Fields of papers citing papers by Ravi Mathur
This network shows the impact of papers produced by Ravi 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 Ravi Mathur. The network helps show where Ravi Mathur may publish in the future.
Co-authors
The 25 scholars most cited alongside Ravi 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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 59 | |
| 2 | 2011 | 26 | |
| 3 | 2013 | 5 | |
| 4 | 2022 | 4 | |
| 5 | 2021 | 2 | |
| 6 | 2011 | 2 | |
| 7 | 2011 | 2 | |
| 8 | 2022 | 1 | |
| 9 | 2025 | 0 |
About Ravi Mathur
Ravi Mathur is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Artificial Intelligence, having authored 9 papers that have together received 101 indexed citations. Recurring topics across this work include Gene expression and cancer classification (5 papers), Bioinformatics and Genomic Networks (4 papers), Genetic Associations and Epidemiology (3 papers), Machine Learning in Bioinformatics (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Computational Drug Discovery Methods (1 paper), Evolutionary Algorithms and Applications (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Biophysics (5 citations), Health Information Management (4 citations), Molecular Biology (58 citations), Analytical Chemistry (7 citations) and Computational Theory and Mathematics (11 citations). Ravi Mathur has collaborated with scholars based in United States and Australia. Frequent co-authors include Ali Shojaie, Alison A. Motsinger‐Reif, Daniel M. Rotroff, Jun Ma, Walker H. Land, Timothy J. Yeatman, John Heine, Xingye Qiao, Steven A. Eschrich and J. David Schaffer. Their work appears in journals such as Communications Biology, Journal of Translational Medicine, BioData Mining, PLoS Genetics and Translational Psychiatry.
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.