Ravi Mandla
Impact in
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- Genetic Associations and Epidemiology
Papers in
- Genetics 6
- Genetic Associations and Epidemiology 6
- Genetic Mapping and Diversity in Plants and Animals 2
- Genetic and phenotypic traits in livestock 2
- BRCA gene mutations in cancer 1
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- Congenital heart defects research 3
- RNA Research and Splicing 2
- Co-authors
- Vasanth Vedantham (3 shared papers)Josep M. Mercader (5 shared papers)José C. Florez (5 shared papers)Philip Schroeder (5 shared papers)Ryosuke Hiwa (1 shared paper)Miriam S. Udler (4 shared papers)Aaron J. Deutsch (3 shared papers)James L. Mueller (1 shared paper)
- Journals
- Diabetes Care (2 papers)Frontiers in Physiology (2 papers)Nature Medicine (1 paper)Diabetes (1 paper)JCI Insight (1 paper)
- Partner nations
- United StatesUnited KingdomPoland
In The Last Decade
Ravi Mandla
12 papers receiving 160 citations
Peers
Comparison fields: 5 of 40
- Genetics 53
- Endocrinology, Diabetes and Metabolism 19
- Cardiology and Cardiovascular Medicine 20
- Immunology 18
- Cellular and Molecular Neuroscience 14
Countries citing papers authored by Ravi Mandla
This map shows the geographic impact of Ravi Mandla'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 Mandla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi Mandla more than expected).
Fields of papers citing papers by Ravi Mandla
This network shows the impact of papers produced by Ravi Mandla. 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 Mandla. The network helps show where Ravi Mandla may publish in the future.
Co-authors
The 25 scholars most cited alongside Ravi Mandla, 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 | 2024 | 47 | |
| 2 | 2020 | 36 | |
| 3 | 2021 | 22 | |
| 4 | 2024 | 18 | |
| 5 | 2023 | 12 | |
| 6 | 2021 | 12 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 0 |
About Ravi Mandla
Ravi Mandla is a scholar working on Genetics, Molecular Biology, Immunology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 13 papers that have together received 160 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Congenital heart defects research (3 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Genetic and phenotypic traits in livestock (2 papers), RNA Research and Splicing (2 papers), BRCA gene mutations in cancer (1 paper), Cognitive Abilities and Testing (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Genetics (53 citations), Endocrinology, Diabetes and Metabolism (19 citations), Cardiology and Cardiovascular Medicine (20 citations), Immunology (18 citations) and Cellular and Molecular Neuroscience (14 citations). Ravi Mandla has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Vasanth Vedantham, Josep M. Mercader, José C. Florez, Philip Schroeder, Ryosuke Hiwa, Miriam S. Udler, Aaron J. Deutsch, James L. Mueller, Hailyn V. Nielsen and Julie Zikherman. Their work appears in journals such as Diabetes Care, Frontiers in Physiology, Nature Medicine, Diabetes and JCI Insight.
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.