Ravi Mathur
Impact in
- Genetics top 10%
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
- Genetic Mapping and Diversity in Plants and Animals
- Genomic variations and chromosomal abnormalities
Papers in
- Genetics 6
- Genetic Associations and Epidemiology 6
- Genetic Mapping and Diversity in Plants and Animals 2
- Genomics and Rare Diseases 2
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- Alcohol Consumption and Health Effects 2
- Co-authors
- Ali Shojaie (1 shared paper)Alison A. Motsinger‐Reif (1 shared paper)Daniel Miller Rotroff (1 shared paper)Jun Ma (1 shared paper)Walker H. Land (2 shared papers)Timothy Joseph Yeatman (3 shared papers)John Heine (3 shared papers)Steven A. Eschrich (2 shared papers)
- Journals
- Nature (1 paper)Biological Psychiatry (1 paper)Scientific Reports (1 paper)Nature Methods (1 paper)BioData Mining (1 paper)
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Ravi Mathur
14 papers receiving 652 citations
Ravi Mathur's Hit Papers
Peers
Comparison fields: 5 of 93
- Genetics 273
- Biological Psychiatry 8
- Molecular Biology 234
- Pathology and Forensic Medicine 49
- Cancer Research 31
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 | Genetic diversity fuels gene discovery for tobacco and alcohol use Hit paper breakdown → | 2022 | 264 |
| 2 | 2020 | 161 | |
| 3 | 2018 | 68 | |
| 4 | 2022 | 67 | |
| 5 | 2022 | 47 | |
| 6 | 2011 | 28 | |
| 7 | 2013 | 5 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 5 | |
| 10 | 2011 | 2 | |
| 11 | 2011 | 2 | |
| 12 | 2024 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2005 | 0 |
About Ravi Mathur
Ravi Mathur is a scholar working on Genetics, Pathology and Forensic Medicine, Molecular Biology, Biophysics and Analytical Chemistry, having authored 15 papers that have together received 659 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Bioinformatics and Genomic Networks (5 papers), Gene expression and cancer classification (4 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Genomics and Rare Diseases (2 papers), Alcohol Consumption and Health Effects (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Advanced Data Compression Techniques (1 paper). The work is most often cited by research in Genetics (273 citations), Biological Psychiatry (8 citations), Molecular Biology (234 citations), Pathology and Forensic Medicine (49 citations) and Cancer Research (31 citations). Ravi Mathur has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Ali Shojaie, Alison A. Motsinger‐Reif, Daniel Miller Rotroff, Jun Ma, Walker H. Land, Timothy Joseph Yeatman, John Heine, Steven A. Eschrich, Xingye Qiao and Bradley Todd Webb. Their work appears in journals such as Nature, Biological Psychiatry, Scientific Reports, Nature Methods and BioData Mining.
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.