Jack J. Withrow
Impact in
-
- Species Distribution and Climate Change
- Microbiology top 10%
- Reproductive tract infections research
Papers in
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- Species Distribution and Climate Change 4
- Ecology 7
- Wildlife Ecology and Conservation 4
- Avian ecology and behavior 2
- Co-authors
- Kevin Winker (9 shared papers)Spencer G. Sealy (2 shared papers)Daniel D. Gibson (3 shared papers)Christin L. Pruett (1 shared paper)Kristen Ruegg (2 shared papers)Alexander Mikhailovich Shestopalov (1 shared paper)Travis C. Glenn (1 shared paper)Erika S. Zavaleta (1 shared paper)
- Journals
- The Auk (2 papers)mBio (1 paper)Evolution (1 paper)Biological reviews/Biological reviews of the Cambridge Philosophical Society (1 paper)Nature (1 paper)
- Partner nations
- United StatesCanadaRussia
In The Last Decade
Jack J. Withrow
16 papers receiving 581 citations
Jack J. Withrow's Hit Papers
Peers
Comparison fields: 5 of 95
- Ecological Modeling 31
- Microbiology 42
- Molecular Medicine 29
- Infectious Diseases 94
- Ecology 115
Countries citing papers authored by Jack J. Withrow
This map shows the geographic impact of Jack J. Withrow'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 Jack J. Withrow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack J. Withrow more than expected).
Fields of papers citing papers by Jack J. Withrow
This network shows the impact of papers produced by Jack J. Withrow. 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 Jack J. Withrow. The network helps show where Jack J. Withrow may publish in the future.
Co-authors
The 19 scholars most cited alongside Jack J. Withrow, 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 | Comparative Analyses of Vertebrate Gut Microbiomes Reveal Convergence between Birds and Bats Hit paper breakdown → | 2020 | 324 |
| 2 | 2017 | 199 | |
| 3 | 2013 | 10 | |
| 4 | 2023 | 9 | |
| 5 | 2014 | 8 | |
| 6 | 2019 | 6 | |
| 7 | 2014 | 5 | |
| 8 | 2020 | 5 | |
| 9 | 2016 | 4 | |
| 10 | 2020 | 3 | |
| 11 | 2021 | 2 | |
| 12 | 2016 | 2 | |
| 13 | 2020 | 2 | |
| 14 | 2016 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 2018 | 2 | |
| 17 | 2023 | 0 |
About Jack J. Withrow
Jack J. Withrow is a scholar working on Ecological Modeling, Ecology, Genetics, Nature and Landscape Conservation and Space and Planetary Science, having authored 17 papers that have together received 585 indexed citations. Recurring topics across this work include Genetic diversity and population structure (7 papers), Species Distribution and Climate Change (4 papers), Wildlife Ecology and Conservation (4 papers), Genomics and Phylogenetic Studies (3 papers), Indigenous Studies and Ecology (2 papers), Ecology and Vegetation Dynamics Studies (2 papers), Avian ecology and behavior (2 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Ecological Modeling (31 citations), Microbiology (42 citations), Molecular Medicine (29 citations), Infectious Diseases (94 citations) and Ecology (115 citations). Jack J. Withrow has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Kevin Winker, Spencer G. Sealy, Daniel D. Gibson, Christin L. Pruett, Kristen Ruegg, Alexander Mikhailovich Shestopalov, Travis C. Glenn, Erika S. Zavaleta, Robert E. Gill and Brant C. Faircloth. Their work appears in journals such as The Auk, mBio, Evolution, Biological reviews/Biological reviews of the Cambridge Philosophical Society and Nature.
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.