Taegan A. McMahon
- Ecological Modeling top 1%
- Species Distribution and Climate Change 10
- Global and Planetary Change top 2%
- Amphibian and Reptile Biology 22
- Parasitology top 5%
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- Turtle Biology and Conservation 5
- Ecology top 5%
- Parasite Biology and Host Interactions 4
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- Animal Behavior and Reproduction 7
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- Zoonotic diseases and public health 3
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- Environmental Toxicology and Ecotoxicology 3
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- Aquaculture disease management and microbiota 3
- Co-authors
- Jason R. RohrNeal T. HalsteadMatthew D. VeneskyThomas R. RaffelDavid J. CivitelloJeremy M. CohenJohn M. RomansicErin L. Sauer
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesAustraliaBelarus
In The Last Decade
Taegan A. McMahon
30 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Ecological Modeling 442
- Global and Planetary Change 1.0k
- Parasitology 182
- Nature and Landscape Conservation 327
- Ecology 591
Countries citing papers authored by Taegan A. McMahon
This map shows the geographic impact of Taegan A. McMahon'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 Taegan A. McMahon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taegan A. McMahon more than expected).
Fields of papers citing papers by Taegan A. McMahon
This network shows the impact of papers produced by Taegan A. McMahon. 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 Taegan A. McMahon. The network helps show where Taegan A. McMahon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Taegan A. McMahon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 12 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 7 | |
| 6 | 2021 | 5 | |
| 7 | 2021 | 1 | |
| 8 | 2020 | 37 | |
| 9 | 2018 | 59 | |
| 10 | 2017 | 36 | |
| 11 | 2017 | 163 | |
| 12 | Biodiversity inhibits parasites: Broad evidence for the dilution effectbreakdown → | 2015 | 483 |
| 13 | 2015 | 82 | |
| 14 | 2014 | 28 | |
| 15 | 2014 | 168 | |
| 16 | 2014 | 20 | |
| 17 | 2013 | 48 | |
| 18 | 2012 | 99 | |
| 19 | 2012 | 205 | |
| 20 | 2011 | 83 |
About Taegan A. McMahon
Taegan A. McMahon is a scholar working on Ecological Modeling, Global and Planetary Change and Ecology, Evolution, Behavior and Systematics, having authored 30 papers that have together received 2.1k indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (22 papers), Species Distribution and Climate Change (10 papers), Animal Behavior and Reproduction (7 papers), Turtle Biology and Conservation (5 papers), Parasite Biology and Host Interactions (4 papers), Zoonotic diseases and public health (3 papers), Environmental Toxicology and Ecotoxicology (3 papers) and Aquaculture disease management and microbiota (3 papers). The work is most often cited by research in Ecological Modeling (442 citations), Global and Planetary Change (1.0k citations) and Parasitology (182 citations). Taegan A. McMahon has collaborated with scholars based in United States, Australia and Belarus. Frequent co-authors include Jason R. Rohr, Neal T. Halstead, Matthew D. Venesky, Thomas R. Raffel, David J. Civitello, Jeremy M. Cohen, John M. Romansic, Erin L. Sauer, S. M. M. Young and Carmelo Ortega. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.