Glenn J. Tattersall
- Ecological Modeling top 1%
- Species Distribution and Climate Change 11
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- Animal Behavior and Reproduction 45
- Bat Biology and Ecology Studies 32
- Ecology top 0.5%
- Physiological and biochemical adaptations 64
- Avian ecology and behavior 12
- Global and Planetary Change top 2%
- Amphibian and Reptile Biology 33
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- High Altitude and Hypoxia 15
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- Neurobiology and Insect Physiology Research 14
- Co-authors
- Viviana CadenaMatthew R. E. SymondsWilliam K. MilsomDenis V. AndradeAugusto S. AbeRobert G. BoutilierGordon R. UltschRaymond M. Danner
- Cited by
- Ecological ModelingEcology, Evolution, Behavior and SystematicsEndocrine and Autonomic Systems
- Partner nations
- CanadaUnited StatesBrazil
In The Last Decade
Glenn J. Tattersall
120 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 160
- Ecological Modeling 508
- Ecology, Evolution, Behavior and Systematics 1.6k
- Endocrine and Autonomic Systems 527
- Ecology 1.9k
- Global and Planetary Change 748
Countries citing papers authored by Glenn J. Tattersall
This map shows the geographic impact of Glenn J. Tattersall'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 Glenn J. Tattersall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glenn J. Tattersall more than expected).
Fields of papers citing papers by Glenn J. Tattersall
This network shows the impact of papers produced by Glenn J. Tattersall. 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 Glenn J. Tattersall. The network helps show where Glenn J. Tattersall may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Glenn J. Tattersall, 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 | 2026 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 2 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 4 | |
| 10 | 2023 | 13 | |
| 11 | 2022 | 40 | |
| 12 | 2021 | 42 | |
| 13 | 2021 | 17 | |
| 14 | 2021 | 35 | |
| 15 | 2020 | 6 | |
| 16 | 2020 | 4 | |
| 17 | 2016 | 92 | |
| 18 | 2012 | 18 | |
| 19 | 2009 | 218 | |
| 20 | 2000 | 14 |
About Glenn J. Tattersall
Glenn J. Tattersall is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecology and Ecological Modeling, having authored 125 papers that have together received 4.1k indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (64 papers), Animal Behavior and Reproduction (45 papers), Amphibian and Reptile Biology (33 papers), Bat Biology and Ecology Studies (32 papers), High Altitude and Hypoxia (15 papers), Neurobiology and Insect Physiology Research (14 papers), Avian ecology and behavior (12 papers) and Species Distribution and Climate Change (11 papers). The work is most often cited by research in Ecological Modeling (508 citations), Ecology, Evolution, Behavior and Systematics (1.6k citations) and Endocrine and Autonomic Systems (527 citations). Glenn J. Tattersall has collaborated with scholars based in Canada, United States and Brazil. Frequent co-authors include Viviana Cadena, Matthew R. E. Symonds, William K. Milsom, Denis V. Andrade, Augusto S. Abe, Robert G. Boutilier, Gordon R. Ultsch, Raymond M. Danner, M. J. Hill and Gabrielle Hawksworth. Their work appears in journals such as Science, Nature Communications and Journal of Neuroscience.
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.