Caitlin S. Pepperell
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology 19
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria 3
- Epidemiology top 5%
- Mycobacterium research and diagnosis 21
- Endocrinology top 10%
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- Evolution and Genetic Dynamics 7
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- Reproductive tract infections research 3
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- Syphilis Diagnosis and Treatment 3
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- Genomics and Phylogenetic Studies 3
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- Infectious Diseases and Tuberculosis 3
- Co-authors
- Tatum D. MortimerMary B. O’NeillAtul HumarAndrew KitchenJulianne V. KusLori L. BurrowsMichael GardamJulie M. Granka
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nature Communications (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Caitlin S. Pepperell
38 papers receiving 980 citations
Peers
Comparison fields: 5 of 99
- Infectious Diseases 703
- Molecular Medicine 83
- Epidemiology 579
- Endocrinology 63
- Public Health, Environmental and Occupational Health 201
Countries citing papers authored by Caitlin S. Pepperell
This map shows the geographic impact of Caitlin S. Pepperell'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 Caitlin S. Pepperell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caitlin S. Pepperell more than expected).
Fields of papers citing papers by Caitlin S. Pepperell
This network shows the impact of papers produced by Caitlin S. Pepperell. 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 Caitlin S. Pepperell. The network helps show where Caitlin S. Pepperell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Caitlin S. Pepperell, 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 | 2025 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2022 | 12 | |
| 4 | 2022 | 8 | |
| 5 | 2020 | 5 | |
| 6 | 2020 | 18 | |
| 7 | 2019 | 7 | |
| 8 | 2019 | 8 | |
| 9 | 2019 | 62 | |
| 10 | 2018 | 25 | |
| 11 | 2018 | 9 | |
| 12 | 2017 | 9 | |
| 13 | 2016 | 54 | |
| 14 | 2015 | 49 | |
| 15 | 2014 | 32 | |
| 16 | Genetic Research with Hmong - ancestry Populations: Lessons from the Literature and a Pilot Study | 2013 | 8 |
| 17 | 2013 | 92 | |
| 18 | 2011 | 7 | |
| 19 | 2009 | 29 | |
| 20 | 1996 | 4 |
About Caitlin S. Pepperell
Caitlin S. Pepperell is a scholar working on Microbiology, Infectious Diseases and Epidemiology, having authored 38 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (21 papers), Tuberculosis Research and Epidemiology (19 papers), Evolution and Genetic Dynamics (7 papers), Reproductive tract infections research (3 papers), Antibiotic Resistance in Bacteria (3 papers), Syphilis Diagnosis and Treatment (3 papers), Genomics and Phylogenetic Studies (3 papers) and Infectious Diseases and Tuberculosis (3 papers). The work is most often cited by research in Infectious Diseases (703 citations), Molecular Medicine (83 citations) and Epidemiology (579 citations). Caitlin S. Pepperell has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Tatum D. Mortimer, Mary B. O’Neill, Atul Humar, Andrew Kitchen, Julianne V. Kus, Lori L. Burrows, Michael Gardam, Julie M. Granka, Cheryl Jaigobin and Vegard Eldholm. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.
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.