DeeAnn M. Reeder
- Ecology, Evolution, Behavior and Systematics top 0.1%
- Ecology top 0.5%
- Genetics top 0.5%
- Paleontology top 0.5%
- Infectious Diseases top 1%
- Co-authors
- Don E. WilsonRudolf SchmidKristin M. KramerGregory G. TurnerJeremy T. H. ColemanCarol U. MeteyerDavid S. BlehertMelissa Behr
- Topics
- Bat Biology and Ecology Studies (43 papers)Viral Infections and Vectors (26 papers)Yersinia bacterium, plague, ectoparasites research (11 papers)
- Partner nations
- United StatesFinlandBelgium
In The Last Decade
DeeAnn M. Reeder
61 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Ecology, Evolution, Behavior and Systematics 3.9k
- Ecology 3.4k
- Genetics 1.9k
- Paleontology 1.7k
- Infectious Diseases 1.4k
Countries citing papers authored by DeeAnn M. Reeder
This map shows the geographic impact of DeeAnn M. Reeder'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 DeeAnn M. Reeder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites DeeAnn M. Reeder more than expected).
Fields of papers citing papers by DeeAnn M. Reeder
This network shows the impact of papers produced by DeeAnn M. Reeder. 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 DeeAnn M. Reeder. The network helps show where DeeAnn M. Reeder may publish in the future.
Co-authorship network of co-authors of DeeAnn M. Reeder
This figure shows the co-authorship network connecting the top 25 collaborators of DeeAnn M. Reeder. A scholar is included among the top collaborators of DeeAnn M. Reeder 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 DeeAnn M. Reeder. DeeAnn M. Reeder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 13 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 31 | |
| 11 | 34 | |
| 12 | 21 | |
| 13 | 52 | |
| 14 | 26 | |
| 15 | 96 | |
| 16 | 33 | |
| 17 | 58 | |
| 18 | Class Mammalia Linnaeus, 1758 | 8 |
| 19 | Experimental infection of bats with Geomyces destructans causes white-nose syndromebreakdown → | 389 |
| 20 | The biology of parenting in the monogamous titi monkey (Callicebus moloch) | 5 |
About DeeAnn M. Reeder
DeeAnn M. Reeder is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecological Modeling and Infectious Diseases, having authored 63 papers that have together received 7.4k indexed citations. Recurring topics across this work include Bat Biology and Ecology Studies (43 papers), Viral Infections and Vectors (26 papers) and Yersinia bacterium, plague, ectoparasites research (11 papers). The work is most often cited by research in Paleontology (1.7k citations), Ecological Modeling (945 citations) and Ecology, Evolution, Behavior and Systematics (3.9k citations). DeeAnn M. Reeder has collaborated with scholars based in United States, Finland and Belgium. Frequent co-authors include Don E. Wilson, Rudolf Schmid, Kristin M. Kramer, Gregory G. Turner, Jeremy T. H. Coleman, Carol U. Meteyer, David S. Blehert, Melissa Behr, Kenneth A. Field and Alan C. Hicks. Their work appears in journals such as Nature, The Journal of Immunology and PLoS ONE.
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.