Nathan S. Upham

4.1k total citations · 2 hit papers
51 papers, 2.4k citations indexed

About

Nathan S. Upham is a scholar working on Ecology, Paleontology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Nathan S. Upham has authored 51 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Ecology, 25 papers in Paleontology and 19 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Nathan S. Upham's work include Evolution and Paleontology Studies (24 papers), Species Distribution and Climate Change (19 papers) and Animal Ecology and Behavior Studies (15 papers). Nathan S. Upham is often cited by papers focused on Evolution and Paleontology Studies (24 papers), Species Distribution and Climate Change (19 papers) and Animal Ecology and Behavior Studies (15 papers). Nathan S. Upham collaborates with scholars based in United States, Belgium and Argentina. Nathan S. Upham's co-authors include Walter Jetz, Jacob A. Esselstyn, Connor Burgin, Jocelyn P. Colella, Bruce D. Patterson, John C. Hafner, María Encarnación Pérez, Liliana M. Dávalos, Renan Maestri and Samuel T. Turvey and has published in prestigious journals such as Science, Nature Communications and Current Biology.

In The Last Decade

Nathan S. Upham

48 papers receiving 2.3k citations

Hit Papers

Inferring the mammal tree: Species-level sets of phylogen... 2017 2026 2020 2023 2019 2017 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan S. Upham United States 18 1.2k 981 831 484 455 51 2.4k
Kevin C. Rowe Australia 27 1.2k 1.0× 731 0.7× 784 0.9× 826 1.7× 530 1.2× 71 2.3k
Géraldine Veron France 25 1.2k 1.1× 799 0.8× 456 0.5× 742 1.5× 282 0.6× 83 2.1k
Ken Aplin Australia 30 1.3k 1.1× 1.1k 1.1× 582 0.7× 980 2.0× 241 0.5× 116 3.1k
Sharon A. Jansa United States 33 1.5k 1.3× 1.9k 1.9× 1.2k 1.4× 861 1.8× 436 1.0× 77 3.1k
Pierre‐Henri Fabre France 25 1.1k 1.0× 1.4k 1.4× 1.1k 1.4× 954 2.0× 575 1.3× 64 3.1k
Rutger Vos Netherlands 20 761 0.7× 739 0.8× 864 1.0× 636 1.3× 303 0.7× 49 2.6k
Wendell Challenger Canada 4 586 0.5× 749 0.8× 1.0k 1.3× 513 1.1× 266 0.6× 6 2.1k
Marcelo Weksler Brazil 21 1.1k 1.0× 1.1k 1.1× 558 0.7× 481 1.0× 221 0.5× 70 1.7k
Jacob A. Esselstyn United States 28 1.1k 0.9× 1.1k 1.2× 1.1k 1.3× 1.0k 2.1× 783 1.7× 75 3.0k
Philippe Gaubert France 23 1.2k 1.0× 397 0.4× 345 0.4× 692 1.4× 415 0.9× 93 1.9k

Countries citing papers authored by Nathan S. Upham

Since Specialization
Citations

This map shows the geographic impact of Nathan S. Upham'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 Nathan S. Upham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan S. Upham more than expected).

Fields of papers citing papers by Nathan S. Upham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan S. Upham. 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 Nathan S. Upham. The network helps show where Nathan S. Upham may publish in the future.

Co-authorship network of co-authors of Nathan S. Upham

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan S. Upham. A scholar is included among the top collaborators of Nathan S. Upham 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 Nathan S. Upham. Nathan S. Upham 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.
Maliet, Odile, Leandro Arístide, David Nogués‐Bravo, et al.. (2025). Negative global-scale association between genetic diversity and speciation rates in mammals. Nature Communications. 16(1). 1796–1796. 1 indexed citations
3.
Verbruggen, Heroen, et al.. (2024). Reticulate evolution: Detection and utility in the phylogenomics era. Molecular Phylogenetics and Evolution. 201. 108197–108197. 2 indexed citations
4.
Upham, Nathan S. & Jorrit H. Poelen. (2024). Taxonomic Data Objects for Communicating the Meaning of Species Names. Biodiversity Information Science and Standards. 8.
5.
Moura, Mario R., Yanina V. Sica, Pamela González‐del‐Pliego, et al.. (2024). A phylogeny-informed characterisation of global tetrapod traits addresses data gaps and biases. PLoS Biology. 22(7). e3002658–e3002658. 14 indexed citations
6.
Geiselman, Cullen, Jorrit H. Poelen, Nancy B. Simmons, et al.. (2023). A Standardized Review of Bat Names Across Multiple Taxonomic Authorities. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
7.
Larsen, Brendan B., Simona Kraberger, Nathan S. Upham, et al.. (2023). Diverse DNA virus genomes identified in fecal samples of Mexican free-tailed bats (Tadarida brasiliensis) captured in Chiricahua Mountains of southeast Arizona (USA). Virology. 580. 98–111. 7 indexed citations
8.
Goodman, Steven M., Voahangy Soarimalala, Alexandra van der Geer, et al.. (2023). The macroevolutionary impact of recent and imminent mammal extinctions on Madagascar. Nature Communications. 14(1). 14–14. 27 indexed citations
9.
Larsen, Brendan B., Sophie Gryseels, Simona Kraberger, et al.. (2023). Using archived and biocollection samples towards deciphering the DNA virus diversity associated with rodent species in the families cricetidae and heteromyidae. Virology. 585. 42–60. 9 indexed citations
10.
Abraham, Joel O., et al.. (2022). Evolutionary causes and consequences of ungulate migration. Nature Ecology & Evolution. 6(7). 998–1006. 22 indexed citations
11.
Upham, Nathan S., et al.. (2022). Extended Taxonomic Curation: Moving beyond species lists to linking species data. Biodiversity Information Science and Standards. 6. 3 indexed citations
12.
Sterner, Beckett, et al.. (2021). Combining Machine Learning & Reasoning for Biodiversity Data Intelligence. National Conference on Artificial Intelligence. 35(17). 14911–14919. 1 indexed citations
13.
Heim, Noel A., Douglas J. McCauley, Jonathan L. Payne, et al.. (2021). A global ecological signal of extinction risk in terrestrial vertebrates. Conservation Biology. 36(3). e13852–e13852. 46 indexed citations
14.
Upham, Nathan S., Jacob A. Esselstyn, & Walter Jetz. (2021). Molecules and fossils tell distinct yet complementary stories of mammal diversification. Current Biology. 31(19). 4195–4206.e3. 26 indexed citations
15.
Groom, Quentin, Tim Adriaens, Sandro Bertolino, et al.. (2021). Holistic understanding of contemporary ecosystems requires integration of data on domesticated, captive and cultivated organisms. ZooKeys. 9. e65371–e65371. 5 indexed citations
16.
Alhajeri, Bader H., Yoan Fourcade, Nathan S. Upham, & Hasan Alhaddad. (2020). A global test of Allen’s rule in rodents. Global Ecology and Biogeography. 29(12). 2248–2260. 38 indexed citations
17.
Evans, Ben J., Nathan S. Upham, G. Brian Golding, Ricardo A. Ojeda, & Agustina A. Ojeda. (2017). Evolution of the Largest Mammalian Genome. Genome Biology and Evolution. 9(6). 1711–1724. 15 indexed citations
18.
Upham, Nathan S., Louise H. Emmons, Fabienne Justy, et al.. (2016). Mitogenomic phylogeny, diversification, and biogeography of South American spiny rats. Molecular Biology and Evolution. 34(3). msw261–msw261. 72 indexed citations
19.
Upham, Nathan S., et al.. (2013). Transitions between Andean and Amazonian centers of endemism in the radiation of some arboreal rodents. BMC Evolutionary Biology. 13(1). 191–191. 41 indexed citations
20.
Hafner, John C. & Nathan S. Upham. (2011). Phylogeography of the dark kangaroo mouse, Microdipodops megacephalus: cryptic lineages and dispersal routes in North America’s Great Basin. Journal of Biogeography. 38(6). 1077–1097. 14 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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