Uma Ramakrishnan
- Ecology top 1%
- Genetics top 1%
- Ecology, Evolution, Behavior and Systematics top 1%
- Ecological Modeling top 1%
- Social Psychology top 2%
- Co-authors
- Richard G. CossElizabeth A. HadlySamrat MondolV. V. RobinYvonne L. ChanJoanna L. MountainPrachi ThatteAnindya Sinha
- Topics
- Genetic diversity and population structure (67 papers)Wildlife Ecology and Conservation (56 papers)Genetic and phenotypic traits in livestock (25 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Uma Ramakrishnan
155 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 147
- Ecology 1.9k
- Genetics 1.7k
- Ecology, Evolution, Behavior and Systematics 830
- Ecological Modeling 552
- Social Psychology 506
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-authorship network of co-authors of Uma Ramakrishnan
This figure shows the co-authorship network connecting the top 25 collaborators of Uma Ramakrishnan. A scholar is included among the top collaborators of Uma Ramakrishnan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Uma Ramakrishnan. Uma Ramakrishnan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 103 | |
| 8 | 19 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 44 | |
| 12 | 40 | |
| 13 | 22 | |
| 14 | 29 | |
| 15 | 8 | |
| 16 | 20 | |
| 17 | 5 | |
| 18 | 38 | |
| 19 | 68 | |
| 20 | The population and conservation status of Asian elephants in the Periyar Tiger Reserve, Southern India | 19 |
About Uma Ramakrishnan
Uma Ramakrishnan is a scholar working on Ecological Modeling, Developmental Biology and Genetics, having authored 164 papers that have together received 4.0k indexed citations. Recurring topics across this work include Genetic diversity and population structure (67 papers), Wildlife Ecology and Conservation (56 papers) and Genetic and phenotypic traits in livestock (25 papers). The work is most often cited by research in Developmental Biology (283 citations), Ecological Modeling (552 citations) and Ecology (1.9k 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, Anindya Sinha, K. Ullas Karanth and Christian N. K. Anderson. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.
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.