Jeet Sukumaran
- Genetics top 2%
- Molecular Biology top 10%
- Ecology, Evolution, Behavior and Systematics top 1%
- Ecology top 2%
- Global and Planetary Change top 5%
- Co-authors
- Mark T. HolderL. Lacey KnowlesRafe M. BrownR. Alexander PyronJohn J. WiensPaul O. LewisChris R. ShepherdSerge A. Wich
- Topics
- Species Distribution and Climate Change (11 papers)Genetic diversity and population structure (10 papers)Genomics and Phylogenetic Studies (7 papers)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Jeet Sukumaran
27 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Genetics 1.1k
- Molecular Biology 1.0k
- Ecology, Evolution, Behavior and Systematics 843
- Ecology 682
- Global and Planetary Change 555
Countries citing papers authored by Jeet Sukumaran
This map shows the geographic impact of Jeet Sukumaran'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 Jeet Sukumaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeet Sukumaran more than expected).
Fields of papers citing papers by Jeet Sukumaran
This network shows the impact of papers produced by Jeet Sukumaran. 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 Jeet Sukumaran. The network helps show where Jeet Sukumaran may publish in the future.
Co-authorship network of co-authors of Jeet Sukumaran
This figure shows the co-authorship network connecting the top 25 collaborators of Jeet Sukumaran. A scholar is included among the top collaborators of Jeet Sukumaran 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 Jeet Sukumaran. Jeet Sukumaran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 11 | |
| 6 | 7 | |
| 7 | 74 | |
| 8 | 35 | |
| 9 | 40 | |
| 10 | 29 | |
| 11 | 36 | |
| 12 | 43 | |
| 13 | 35 | |
| 14 | 53 | |
| 15 | 70 | |
| 16 | 62 | |
| 17 | DendroPy: a Python library for phylogenetic computingbreakdown → | 1210 |
| 18 | 49 | |
| 19 | A Synopsis of Bioacoustic Studies of Anuran Amphibians of Borneo | 1 |
| 20 | Open Season: An Analysis Of The Pet Trade In Medan, Sumatra 1997 2001 | 64 |
About Jeet Sukumaran
Jeet Sukumaran is a scholar working on Ecological Modeling, Paleontology and Nature and Landscape Conservation, having authored 30 papers that have together received 2.8k indexed citations. Recurring topics across this work include Species Distribution and Climate Change (11 papers), Genetic diversity and population structure (10 papers) and Genomics and Phylogenetic Studies (7 papers). The work is most often cited by research in Ecological Modeling (551 citations), Paleontology (397 citations) and Ecology, Evolution, Behavior and Systematics (843 citations). Jeet Sukumaran has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Mark T. Holder, L. Lacey Knowles, Rafe M. Brown, R. Alexander Pyron, John J. Wiens, Paul O. Lewis, Chris R. Shepherd, Serge A. Wich, Steven Wu and Allen G. Rodrigo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics 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.