Ramesh Arunkumar
Impact in
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- Plant and animal studies
- Genetics top 10%
- Genetic diversity and population structure
- Evolution and Genetic Dynamics
Papers in
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- Plant Reproductive Biology 4
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- Plant and animal studies 5
- Co-authors
- Stephen Wright (6 shared papers)Spencer C. H. Barrett (4 shared papers)R. Williamson (2 shared papers)Emily B. Josephs (2 shared papers)Rob W. Ness (1 shared paper)Francis M. Jiggins (6 shared papers)Jonathan P. Day (5 shared papers)Karl Holm (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)G3 Genes Genomes Genetics (1 paper)Genetics (1 paper)Molecular Biology and Evolution (1 paper)BMC Biology (1 paper)
- Partner nations
- United KingdomCanadaPortugal
In The Last Decade
Ramesh Arunkumar
16 papers receiving 443 citations
Peers
Comparison fields: 5 of 41
- Ecology, Evolution, Behavior and Systematics 190
- Genetics 185
- Aging 9
- Plant Science 188
- Insect Science 56
Countries citing papers authored by Ramesh Arunkumar
This map shows the geographic impact of Ramesh Arunkumar'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 Ramesh Arunkumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramesh Arunkumar more than expected).
Fields of papers citing papers by Ramesh Arunkumar
This network shows the impact of papers produced by Ramesh Arunkumar. 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 Ramesh Arunkumar. The network helps show where Ramesh Arunkumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Ramesh Arunkumar, 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 | 2015 | 109 | |
| 2 | 2014 | 83 | |
| 3 | 2013 | 77 | |
| 4 | 2014 | 76 | |
| 5 | 2020 | 31 | |
| 6 | 2019 | 20 | |
| 7 | 2016 | 12 | |
| 8 | 2022 | 10 | |
| 9 | 2016 | 7 | |
| 10 | 2024 | 6 | |
| 11 | 2020 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2025 | 1 | |
| 16 | 2016 | 1 |
About Ramesh Arunkumar
Ramesh Arunkumar is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Immunology, Plant Science and Insect Science, having authored 16 papers that have together received 448 indexed citations. Recurring topics across this work include Plant and animal studies (5 papers), Insect symbiosis and bacterial influences (5 papers), Invertebrate Immune Response Mechanisms (5 papers), Plant Reproductive Biology (4 papers), Genetic diversity and population structure (3 papers), Plant Parasitism and Resistance (3 papers), Neurobiology and Insect Physiology Research (2 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (190 citations), Genetics (185 citations), Aging (9 citations), Plant Science (188 citations) and Insect Science (56 citations). Ramesh Arunkumar has collaborated with scholars based in United Kingdom, Canada and Portugal. Frequent co-authors include Stephen Wright, Spencer C. H. Barrett, R. Williamson, Emily B. Josephs, Rob W. Ness, Francis M. Jiggins, Jonathan P. Day, Karl Holm, Adrian E. Platts and J. Arvid Ågren. Their work appears in journals such as Proceedings of the National Academy of Sciences, G3 Genes Genomes Genetics, Genetics, Molecular Biology and Evolution and BMC Biology.
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.