John Caskey
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Parasitology top 10%
- Vector-borne infectious diseases
Papers in
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- Vector-borne infectious diseases 3
-
- Machine Learning in Healthcare 8
- Co-authors
- Monica E. Embers (5 shared papers)Majid Afshar (11 shared papers)Matthew M. Churpek (11 shared papers)Konstantin Gus Kousoulas (3 shared papers)Dmitriy Dligach (8 shared papers)Timothy A. Miller (4 shared papers)Yanjun Gao (4 shared papers)Fábio Del Piero (1 shared paper)
- Journals
- Journal of Biomedical Informatics (2 papers)npj Digital Medicine (2 papers)Journal of the American Medical Informatics Association (2 papers)Frontiers in Microbiology (1 paper)Tuberculosis (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
John Caskey
19 papers receiving 263 citations
Peers
Comparison fields: 5 of 57
- Health Informatics 47
- Parasitology 59
- Infectious Diseases 25
- Artificial Intelligence 43
- Epidemiology 38
Countries citing papers authored by John Caskey
This map shows the geographic impact of John Caskey'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 John Caskey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Caskey more than expected).
Fields of papers citing papers by John Caskey
This network shows the impact of papers produced by John Caskey. 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 John Caskey. The network helps show where John Caskey may publish in the future.
Co-authors
The 25 scholars most cited alongside John Caskey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 44 | |
| 2 | 2015 | 39 | |
| 3 | 2018 | 36 | |
| 4 | 2016 | 19 | |
| 5 | 2016 | 17 | |
| 6 | 2023 | 17 | |
| 7 | 2019 | 14 | |
| 8 | 2018 | 13 | |
| 9 | 2019 | 13 | |
| 10 | 2016 | 12 | |
| 11 | 2025 | 9 | |
| 12 | 2023 | 8 | |
| 13 | 2016 | 6 | |
| 14 | Septic arthritis due to moraxella osloensis in a rhesus macaque (Macaca mulatta). | 2013 | 5 |
| 15 | 2022 | 5 | |
| 16 | 2025 | 5 | |
| 17 | 2024 | 3 | |
| 18 | 2025 | 1 | |
| 19 | 2026 | 1 | |
| 20 | 2025 | 0 |
About John Caskey
John Caskey is a scholar working on Parasitology, Artificial Intelligence, Infectious Diseases, Health Informatics and Epidemiology, having authored 23 papers that have together received 267 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (8 papers), Vector-borne infectious diseases (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Sepsis Diagnosis and Treatment (2 papers), Acute Kidney Injury Research (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Herpesvirus Infections and Treatments (2 papers) and Obesity and Health Practices (1 paper). The work is most often cited by research in Health Informatics (47 citations), Parasitology (59 citations), Infectious Diseases (25 citations), Artificial Intelligence (43 citations) and Epidemiology (38 citations). John Caskey has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Monica E. Embers, Majid Afshar, Matthew M. Churpek, Konstantin Gus Kousoulas, Dmitriy Dligach, Timothy A. Miller, Yanjun Gao, Fábio Del Piero, Paul J. F. Rider and Brent A. Stanfield. Their work appears in journals such as Journal of Biomedical Informatics, npj Digital Medicine, Journal of the American Medical Informatics Association, Frontiers in Microbiology and Tuberculosis.
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.