Thomas Uzzell

4.3k citations
97 papers · 3.5k · h-index 34

Impact in

    • Species Distribution and Climate Change
  • Genetics top 0.5%
    • Genetic diversity and population structure
    • Evolution and Genetic Dynamics

Papers in

Thomas Uzzell

93 papers receiving 3.1k citations

Peers

Thomas Uzzell
Comparison fields: 5 of 104
  • Ecological Modeling 382
  • Genetics 2.0k
  • Global and Planetary Change 1.3k
  • Ecology, Evolution, Behavior and Systematics 898
  • Microbiology 160
Replace Ben J. Evans with:
Ben J. Evans Canada
Werner E. Mayer Germany
Linda R. Maxson United States
Scott K. Davis United States
James P. Bogart Canada
André Gilles France
Mahmood Sasa Costa Rica
Kim Roelants Belgium
Sandro L. Bonatto Brazil
Michael R. Miller United States
Thomas Uzzell relative to Ben J. Evans Canada Ben J. Evans's profile →
Citations per field
00.5×1.5×
Ben J. Evans · 1×
Citations per year

Countries citing papers authored by Thomas Uzzell

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Uzzell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Uzzell. 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 Thomas Uzzell. The network helps show where Thomas Uzzell may publish in the future.

Co-authors

The 25 scholars most cited alongside Thomas Uzzell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas Uzzell Line = papers co-authored together Thomas Uzzell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1971212
2 2003153
3 1996151
4 1984143
5 1967134
6 1964133
7 2010115
8 1964111
9 1992100
10 200894
11 197587
12 199285
13 198681
14 198077
15 198577
16 200775
17 197074
18 197373
19 196770
20 199664

About Thomas Uzzell

Thomas Uzzell is a scholar working on Genetics, Global and Planetary Change, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Plant Science, having authored 97 papers that have together received 3.5k indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (43 papers), Genetic diversity and population structure (35 papers), Genomics and Phylogenetic Studies (17 papers), Chromosomal and Genetic Variations (15 papers), Evolution and Genetic Dynamics (13 papers), Species Distribution and Climate Change (11 papers), Plant and animal studies (10 papers) and Bat Biology and Ecology Studies (7 papers). The work is most often cited by research in Ecological Modeling (382 citations), Genetics (2.0k citations), Global and Planetary Change (1.3k citations), Ecology, Evolution, Behavior and Systematics (898 citations) and Microbiology (160 citations). Thomas Uzzell has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Christina Spolsky, Hansjürg Hotz, Kendall W. Corbin, Leszek Berger, Peter Beerli, H. Hotz, Victor C. Twitty, Ilya S. Darevsky, H. C. Macgregor and Christopher A. Phillips. Their work appears in journals such as Copeia, Evolution, Zoosystematics and Evolution, Science and Journal of Experimental Zoology.

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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