Uma Ramakrishnan
Impact in
- Developmental Biology top 1%
- Animal Vocal Communication and Behavior
- Ecological Modeling top 1%
- Species Distribution and Climate Change
Papers in
- Co-authors
- Richard G. Coss (11 shared papers)Elizabeth A. Hadly (13 shared papers)Samrat Mondol (11 shared papers)V. V. Robin (9 shared papers)Yvonne L. Chan (2 shared papers)Joanna L. Mountain (4 shared papers)Prachi Thatte (10 shared papers)K. Ullas Karanth (4 shared papers)
- Journals
- Molecular Ecology (10 papers)PLoS ONE (8 papers)Biological Conservation (7 papers)Ecology and Evolution (7 papers)Proceedings of the National Academy of Sciences (5 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Uma Ramakrishnan
154 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 147
- Developmental Biology 281
- Ecological Modeling 545
- Ecology 1.8k
- Genetics 1.6k
- Ecology, Evolution, Behavior and Systematics 816
Countries citing papers authored by Uma Ramakrishnan
This map shows the geographic impact of Uma Ramakrishnan'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 Uma Ramakrishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uma Ramakrishnan more than expected).
Fields of papers citing papers by Uma Ramakrishnan
This network shows the impact of papers produced by Uma Ramakrishnan. 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 Uma Ramakrishnan. The network helps show where Uma Ramakrishnan may publish in the future.
Co-authors
The 25 scholars most cited alongside Uma Ramakrishnan, 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 164 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 174 | |
| 2 | 2007 | 142 | |
| 3 | 2009 | 137 | |
| 4 | 1999 | 114 | |
| 5 | 2021 | 110 | |
| 6 | 2004 | 107 | |
| 7 | 2017 | 97 | |
| 8 | 2013 | 92 | |
| 9 | 2017 | 92 | |
| 10 | 2010 | 86 | |
| 11 | 2009 | 84 | |
| 12 | 2023 | 83 | |
| 13 | 2000 | 79 | |
| 14 | 2000 | 69 | |
| 15 | 2013 | 68 | |
| 16 | 2005 | 66 | |
| 17 | 2000 | 66 | |
| 18 | 2009 | 62 | |
| 19 | 2000 | 59 | |
| 20 | 1999 | 55 |
About Uma Ramakrishnan
Uma Ramakrishnan is a scholar working on Genetics, Ecology, Ecology, Evolution, Behavior and Systematics, Ecological Modeling and Social Psychology, having authored 164 papers that have together received 4.0k indexed citations. Recurring topics across this work include Genetic diversity and population structure (61 papers), Wildlife Ecology and Conservation (54 papers), Species Distribution and Climate Change (24 papers), Genetic and phenotypic traits in livestock (23 papers), Animal Behavior and Reproduction (18 papers), Primate Behavior and Ecology (18 papers), Bat Biology and Ecology Studies (15 papers) and Animal Vocal Communication and Behavior (11 papers). The work is most often cited by research in Developmental Biology (281 citations), Ecological Modeling (545 citations), Ecology (1.8k citations), Genetics (1.6k citations) and Ecology, Evolution, Behavior and Systematics (816 citations). Uma Ramakrishnan has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Richard G. Coss, Elizabeth A. Hadly, Samrat Mondol, V. V. Robin, Yvonne L. Chan, Joanna L. Mountain, Prachi Thatte, K. Ullas Karanth, Anindya Sinha and Christian N. K. Anderson. Their work appears in journals such as Molecular Ecology, PLoS ONE, Biological Conservation, Ecology and Evolution and Proceedings of the National Academy of Sciences.
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.