Jeet Sukumaran

4.1k total citations · 2 hit papers
30 papers, 2.8k citations indexed

About

Jeet Sukumaran is a scholar working on Genetics, Ecological Modeling and Molecular Biology. According to data from OpenAlex, Jeet Sukumaran has authored 30 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 11 papers in Ecological Modeling and 9 papers in Molecular Biology. Recurrent topics in Jeet Sukumaran's work include Species Distribution and Climate Change (11 papers), Genetic diversity and population structure (10 papers) and Genomics and Phylogenetic Studies (7 papers). Jeet Sukumaran is often cited by papers focused on Species Distribution and Climate Change (11 papers), Genetic diversity and population structure (10 papers) and Genomics and Phylogenetic Studies (7 papers). Jeet Sukumaran collaborates with scholars based in United States, Japan and Canada. Jeet Sukumaran's co-authors include Mark T. Holder, L. Lacey Knowles, Rafe M. Brown, R. Alexander Pyron, John J. Wiens, Paul O. Lewis, Serge A. Wich, Chris R. Shepherd, Steven Wu and Allen G. Rodrigo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.

In The Last Decade

Jeet Sukumaran

27 papers receiving 2.8k citations

Hit Papers

DendroPy: a Python library for phylogenetic computing 2010 2026 2015 2020 2010 2017 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jeet Sukumaran United States 18 1.1k 1.0k 843 682 555 30 2.8k
Andrew F. Hugall Australia 32 1.0k 0.9× 609 0.6× 872 1.0× 1.1k 1.6× 884 1.6× 61 3.3k
Paschalia Kapli United Kingdom 19 1.3k 1.2× 1.2k 1.2× 1.2k 1.4× 1.3k 2.0× 798 1.4× 32 4.0k
Brian S. Arbogast United States 16 1.5k 1.4× 602 0.6× 668 0.8× 1.0k 1.5× 338 0.6× 25 2.5k
Jonathan M. Eastman United States 13 1.1k 1.0× 706 0.7× 1.1k 1.3× 629 0.9× 576 1.0× 19 2.9k
Nicholas G. Crawford United States 11 1.6k 1.4× 1.1k 1.1× 719 0.9× 582 0.9× 411 0.7× 17 2.7k
Peter J. Prentis Australia 25 879 0.8× 673 0.7× 791 0.9× 920 1.3× 342 0.6× 91 2.9k
Heike Hadrys Germany 23 1.1k 1.0× 1.0k 1.0× 826 1.0× 918 1.3× 293 0.5× 53 2.8k
Mark T. Holder United States 27 1.5k 1.4× 2.0k 1.9× 1.1k 1.2× 958 1.4× 402 0.7× 47 4.5k
Sophie Brouillet France 6 997 0.9× 978 1.0× 1.1k 1.3× 1.5k 2.2× 645 1.2× 7 3.6k
Alan Brelsford United States 27 2.5k 2.2× 856 0.8× 1.2k 1.5× 1.0k 1.5× 524 0.9× 70 3.4k

Countries citing papers authored by Jeet Sukumaran

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Sukumaran, Jeet & Marina Meilă. (2024). Piikun: an information theoretic toolkit for analysis and visualization of species delimitation metric space. BMC Bioinformatics. 25(1). 385–385.
2.
Sukumaran, Jeet, et al.. (2024). AutoPhy: Automated phylogenetic identification of novel protein subfamilies. PLoS ONE. 19(1). e0291801–e0291801.
4.
Muñoz-Ramírez, Carlos P., et al.. (2023). Species tree analyses and speciation-based species delimitation support new species in the relict catfish family Diplomystidae and provide insights on recent glacial history in Patagonia. Molecular Phylogenetics and Evolution. 189. 107932–107932. 4 indexed citations
6.
Miralles, Aurélien, Sophie Brouillet, Tomáš Flouri, et al.. (2021). SPART: A versatile and standardized data exchange format for species partition information. Molecular Ecology Resources. 22(1). 430–438. 11 indexed citations
7.
Sukumaran, Jeet, et al.. (2021). Automated high confidence compound identification of electron ionization mass spectra for nontargeted analysis. Journal of Chromatography A. 1660. 462656–462656. 7 indexed citations
8.
Sukumaran, Jeet, Mark T. Holder, & L. Lacey Knowles. (2021). Incorporating the speciation process into species delimitation. PLoS Computational Biology. 17(5). e1008924–e1008924. 74 indexed citations
9.
Knowles, L. Lacey, Huateng Huang, Jeet Sukumaran, & Stephen A. Smith. (2018). A matter of phylogenetic scale: Distinguishing incomplete lineage sorting from lateral gene transfer as the cause of gene tree discord in recent versus deep diversification histories. American Journal of Botany. 105(3). 376–384. 29 indexed citations
10.
Li, Jingchun, et al.. (2018). Microevolutionary processes impact macroevolutionary patterns. BMC Evolutionary Biology. 18(1). 123–123. 35 indexed citations
11.
Wu, Steven, et al.. (2017). Models of microbiome evolution incorporating host and microbial selection. Microbiome. 5(1). 127–127. 36 indexed citations
12.
Sukumaran, Jeet, et al.. (2015). Neutral Models of Microbiome Evolution. PLoS Computational Biology. 11(7). e1004365–e1004365. 43 indexed citations
13.
Sukumaran, Jeet, Evan P. Economo, & L. Lacey Knowles. (2015). Machine Learning Biogeographic Processes from Biotic Patterns: A New Trait-Dependent Dispersal and Diversification Model with Model Choice By Simulation-Trained Discriminant Analysis. Systematic Biology. 65(3). 525–545. 35 indexed citations
14.
Vos, Rutger, James P. Balhoff, Jason Caravas, et al.. (2012). NeXML: Rich, Extensible, and Verifiable Representation of Comparative Data and Metadata. Systematic Biology. 61(4). 675–689. 70 indexed citations
15.
Oaks, Jamie R., Jeet Sukumaran, Jacob A. Esselstyn, et al.. (2012). EVIDENCE FOR CLIMATE-DRIVEN DIVERSIFICATION? A CAUTION FOR INTERPRETING ABC INFERENCES OF SIMULTANEOUS HISTORICAL EVENTS. Evolution. 67(4). 991–1010. 53 indexed citations
16.
Sukumaran, Jeet & Mark T. Holder. (2010). DendroPy: a Python library for phylogenetic computing. Bioinformatics. 26(12). 1569–1571. 1210 indexed citations breakdown →
17.
Brown, Rafe M., Charles W. Linkem, Cameron D. Siler, et al.. (2010). Phylogeography and historical demography of Polypedates leucomystax in the islands of Indonesia and the Philippines: Evidence for recent human-mediated range expansion?. Molecular Phylogenetics and Evolution. 57(2). 598–619. 62 indexed citations
18.
Matsui, Masafumi, A Tominaga, Wanzhao Liu, et al.. (2009). Phylogenetic relationships of Ansonia from Southeast Asia inferred from mitochondrial DNA sequences: Systematic and biogeographic implications (Anura: Bufonidae). Molecular Phylogenetics and Evolution. 54(2). 561–570. 49 indexed citations
19.
Das, Indraneil, Jeet Sukumaran, & Alexander Haas. (2006). A Synopsis of Bioacoustic Studies of Anuran Amphibians of Borneo. Unimas Institutional Repository (Universiti Malaysia Sarawak). 1 indexed citations
20.
Shepherd, Chris R., Jeet Sukumaran, & Serge A. Wich. (2004). Open Season: An Analysis Of The Pet Trade In Medan, Sumatra 1997 2001. 64 indexed citations

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.

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