Casey C. Perley
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
Papers in
-
- Viral Infections and Outbreaks Research 5
- Viral Infections and Vectors 5
- Tuberculosis Research and Epidemiology 3
-
- Heat shock proteins research 4
- Co-authors
- Luke Whitesell (3 shared papers)Sandro Santagata (4 shared papers)Susan Lindquist (3 shared papers)Bang Wong (2 shared papers)Rajiv Narayan (2 shared papers)Yun‐Chi Tang (1 shared paper)John A. Porco (2 shared papers)Marc L. Mendillo (2 shared papers)
- Journals
- Vaccine (2 papers)PLoS ONE (2 papers)Frontiers in Microbiology (2 papers)Cerebral Cortex (1 paper)Science (1 paper)
- Partner nations
- United StatesGreeceGermany
In The Last Decade
Casey C. Perley
12 papers receiving 526 citations
Peers
Comparison fields: 5 of 75
- Aging 18
- Infectious Diseases 143
- Complementary and alternative medicine 43
- Cell Biology 83
- Molecular Biology 297
Countries citing papers authored by Casey C. Perley
This map shows the geographic impact of Casey C. Perley'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 Casey C. Perley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Casey C. Perley more than expected).
Fields of papers citing papers by Casey C. Perley
This network shows the impact of papers produced by Casey C. Perley. 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 Casey C. Perley. The network helps show where Casey C. Perley may publish in the future.
Co-authors
The 25 scholars most cited alongside Casey C. Perley, 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 | 2013 | 222 | |
| 2 | 2011 | 115 | |
| 3 | 2011 | 47 | |
| 4 | 2014 | 36 | |
| 5 | 2017 | 31 | |
| 6 | 2008 | 23 | |
| 7 | 2020 | 19 | |
| 8 | 2019 | 15 | |
| 9 | 2021 | 11 | |
| 10 | 2015 | 7 | |
| 11 | 2021 | 5 | |
| 12 | Tight Coordination of Protein Translation and Heat Shock Factor 1 Activation Supports the Anabolic Malignant State | 2013 | 1 |
| 13 | Using the Heat-Shock Response To Discover Anticancer Compounds that Target Protein Homeostasis | 2011 | 0 |
About Casey C. Perley
Casey C. Perley is a scholar working on Infectious Diseases, Molecular Biology, Global and Planetary Change, Ecology, Evolution, Behavior and Systematics and Computational Theory and Mathematics, having authored 13 papers that have together received 532 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (5 papers), Viral Infections and Vectors (5 papers), Heat shock proteins research (4 papers), Tuberculosis Research and Epidemiology (3 papers), Fire effects on ecosystems (3 papers), Computational Drug Discovery Methods (2 papers), Vector-Borne Animal Diseases (2 papers) and HIV Research and Treatment (1 paper). The work is most often cited by research in Aging (18 citations), Infectious Diseases (143 citations), Complementary and alternative medicine (43 citations), Cell Biology (83 citations) and Molecular Biology (297 citations). Casey C. Perley has collaborated with scholars based in United States, Greece and Germany. Frequent co-authors include Luke Whitesell, Sandro Santagata, Susan Lindquist, Bang Wong, Rajiv Narayan, Yun‐Chi Tang, John A. Porco, Marc L. Mendillo, Stéphane P. Roche and Aravind Subramanian. Their work appears in journals such as Vaccine, PLoS ONE, Frontiers in Microbiology, Cerebral Cortex and Science.
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.