Serena E. Dool
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
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- Bat Biology and Ecology Studies
Papers in
-
- Bat Biology and Ecology Studies 13
- Plant and animal studies 2
- Genetics 10
- Yersinia bacterium, plague, ectoparasites research 5
- Genetic diversity and population structure 4
- Co-authors
- Sébastien J. Puechmaille (13 shared papers)Emma C. Teeling (5 shared papers)Nicole M. Foley (1 shared paper)Gregory L. Mutumi (1 shared paper)Anna Bastian (1 shared paper)David S. Jacobs (1 shared paper)Gerald Kerth (3 shared papers)Benjamin Allegrini (1 shared paper)
In The Last Decade
Serena E. Dool
17 papers receiving 222 citations
Peers
Comparison fields: 5 of 35
- Ecological Modeling 86
- Ecology, Evolution, Behavior and Systematics 160
- Paleontology 35
- Developmental Biology 9
- Genetics 92
Countries citing papers authored by Serena E. Dool
This map shows the geographic impact of Serena E. Dool'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 Serena E. Dool with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serena E. Dool more than expected).
Fields of papers citing papers by Serena E. Dool
This network shows the impact of papers produced by Serena E. Dool. 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 Serena E. Dool. The network helps show where Serena E. Dool may publish in the future.
Co-authors
The 25 scholars most cited alongside Serena E. Dool, 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 | 2016 | 69 | |
| 2 | 2013 | 43 | |
| 3 | 2015 | 17 | |
| 4 | 2020 | 14 | |
| 5 | 2016 | 12 | |
| 6 | 2016 | 12 | |
| 7 | 2021 | 12 | |
| 8 | 2017 | 11 | |
| 9 | 2021 | 8 | |
| 10 | 2018 | 8 | |
| 11 | 2018 | 7 | |
| 12 | 2023 | 4 | |
| 13 | 2019 | 4 | |
| 14 | 2024 | 2 | |
| 15 | 2017 | 2 | |
| 16 | 2020 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2025 | 0 |
About Serena E. Dool
Serena E. Dool is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics, Ecological Modeling, Ecology and Infectious Diseases, having authored 18 papers that have together received 227 indexed citations. Recurring topics across this work include Bat Biology and Ecology Studies (13 papers), Species Distribution and Climate Change (7 papers), Yersinia bacterium, plague, ectoparasites research (5 papers), Wildlife Ecology and Conservation (4 papers), Genetic diversity and population structure (4 papers), Genomics and Phylogenetic Studies (3 papers), Viral Infections and Vectors (3 papers) and Plant and animal studies (2 papers). The work is most often cited by research in Ecological Modeling (86 citations), Ecology, Evolution, Behavior and Systematics (160 citations), Paleontology (35 citations), Developmental Biology (9 citations) and Genetics (92 citations). Serena E. Dool has collaborated with scholars based in Germany, France and Ireland. Frequent co-authors include Sébastien J. Puechmaille, Emma C. Teeling, Nicole M. Foley, Gregory L. Mutumi, Anna Bastian, David S. Jacobs, Gerald Kerth, Benjamin Allegrini, Joanne M. Monks and Mike D. Picker. Their work appears in journals such as Molecular Ecology, Conservation Genetics, Journal of Mammalogy, Acta Chiropterologica and Conservation Physiology.
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.