T. Preston Webster

13 total papers · 629 total citations
11 papers, 538 citations indexed

About

T. Preston Webster is a scholar working on Global and Planetary Change, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, T. Preston Webster has authored 11 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Global and Planetary Change, 6 papers in Genetics and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in T. Preston Webster's work include Amphibian and Reptile Biology (8 papers), Genetic diversity and population structure (5 papers) and Animal Behavior and Reproduction (3 papers). T. Preston Webster is often cited by papers focused on Amphibian and Reptile Biology (8 papers), Genetic diversity and population structure (5 papers) and Animal Behavior and Reproduction (3 papers). T. Preston Webster collaborates with scholars based in United States. T. Preston Webster's co-authors include Raymond B. Huey, Richard Highton, Suh Y. Yang, Robert K. Selander, John M. Burns, Ernest E. Williams, William P. Hall, Junjie Feng, Jianfeng Xu and Zheng Zhang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Ecology.

In The Last Decade

T. Preston Webster

11 papers receiving 418 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
T. Preston Webster 291 254 241 170 133 11 538
Inga Zeisset 300 1.0× 208 0.8× 316 1.3× 124 0.7× 131 1.0× 17 564
Κostas Sagonas 286 1.0× 222 0.9× 160 0.7× 192 1.1× 168 1.3× 29 528
Lilian G. Giugliano 267 0.9× 216 0.9× 153 0.6× 164 1.0× 79 0.6× 20 450
Danielle Rivera 173 0.6× 182 0.7× 254 1.1× 183 1.1× 103 0.8× 9 495
Jan Rafiński 179 0.6× 183 0.7× 273 1.1× 74 0.4× 116 0.9× 26 469
Maria A. Tonione 163 0.6× 138 0.5× 289 1.2× 200 1.2× 153 1.2× 12 471
Jessica M. da Silva 223 0.8× 157 0.6× 122 0.5× 105 0.6× 154 1.2× 28 475
Ron Gagliardo 461 1.6× 246 1.0× 127 0.5× 120 0.7× 52 0.4× 6 578
Thomas J. Devitt 202 0.7× 136 0.5× 238 1.0× 133 0.8× 121 0.9× 20 454
Kathleen Semple Delaney 135 0.5× 194 0.8× 306 1.3× 150 0.9× 288 2.2× 14 615

Countries citing papers authored by T. Preston Webster

Since Specialization
Citations

This map shows the geographic impact of T. Preston Webster'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 T. Preston Webster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Preston Webster more than expected).

Fields of papers citing papers by T. Preston Webster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Preston Webster. 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 T. Preston Webster. The network helps show where T. Preston Webster may publish in the future.

Co-authorship network of co-authors of T. Preston Webster

This figure shows the co-authorship network connecting the top 25 collaborators of T. Preston Webster. A scholar is included among the top collaborators of T. Preston Webster 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 T. Preston Webster. T. Preston Webster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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