E. Anne Chambers
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
- Genetics top 10%
- Genetic diversity and population structure
Papers in
- Co-authors
- David M. Hillis (6 shared papers)Paul D. N. Hebert (1 shared paper)Thomas J. Devitt (1 shared paper)Mikhail V. Matz (2 shared papers)Ian Wang (2 shared papers)Rebecca D. Tarvin (1 shared paper)Oscar Flores‐Villela (1 shared paper)Weiwei Zhou (1 shared paper)
- Journals
- Systematic Biology (2 papers)Molecular Biology and Evolution (1 paper)Ichthyology & Herpetology (1 paper)Amphibia-Reptilia (1 paper)Molecular Ecology Resources (1 paper)
- Partner nations
- United StatesCanadaColombia
In The Last Decade
E. Anne Chambers
11 papers receiving 330 citations
Peers
Comparison fields: 5 of 36
- Ecological Modeling 102
- Genetics 202
- Global and Planetary Change 119
- Ecology, Evolution, Behavior and Systematics 82
- Nature and Landscape Conservation 48
Countries citing papers authored by E. Anne Chambers
This map shows the geographic impact of E. Anne Chambers'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 E. Anne Chambers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Anne Chambers more than expected).
Fields of papers citing papers by E. Anne Chambers
This network shows the impact of papers produced by E. Anne Chambers. 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 E. Anne Chambers. The network helps show where E. Anne Chambers may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Anne Chambers, 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 | 2019 | 128 | |
| 2 | 2016 | 61 | |
| 3 | 2021 | 39 | |
| 4 | 2021 | 35 | |
| 5 | 2022 | 27 | |
| 6 | 2023 | 12 | |
| 7 | 2023 | 11 | |
| 8 | 2025 | 9 | |
| 9 | 2022 | 6 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 5 |
About E. Anne Chambers
E. Anne Chambers is a scholar working on Genetics, Ecology, Molecular Biology, Ecological Modeling and Global and Planetary Change, having authored 11 papers that have together received 338 indexed citations. Recurring topics across this work include Genetic diversity and population structure (9 papers), Genomics and Phylogenetic Studies (3 papers), Species Distribution and Climate Change (3 papers), Wildlife Ecology and Conservation (3 papers), Amphibian and Reptile Biology (3 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Genetic and phenotypic traits in livestock (2 papers) and Evolution and Genetic Dynamics (1 paper). The work is most often cited by research in Ecological Modeling (102 citations), Genetics (202 citations), Global and Planetary Change (119 citations), Ecology, Evolution, Behavior and Systematics (82 citations) and Nature and Landscape Conservation (48 citations). E. Anne Chambers has collaborated with scholars based in United States, Canada and Colombia. Frequent co-authors include David M. Hillis, Paul D. N. Hebert, Thomas J. Devitt, Mikhail V. Matz, Ian Wang, Rebecca D. Tarvin, Oscar Flores‐Villela, Weiwei Zhou, Jing Che and Alex Borisenko. Their work appears in journals such as Systematic Biology, Molecular Biology and Evolution, Ichthyology & Herpetology, Amphibia-Reptilia and Molecular Ecology Resources.
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.