Jonathan McCall
Impact in
- Transplantation top 10%
- Renal Transplantation Outcomes and Treatments
- Health Informatics top 10%
Papers in
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- Health and Medical Research Impacts 2
-
- Intensive Care Unit Cognitive Disorders 2
- Co-authors
- Andrew Dixon (1 shared paper)Jenny K. Hoang (1 shared paper)Frank Gaillard (1 shared paper)Ryan T. Fitzgerald (1 shared paper)Gordon Yung (1 shared paper)Jeffrey T. Chapman (1 shared paper)Robert D. Davis (1 shared paper)Dianne Gallup (1 shared paper)
- Journals
- Clinical Trials (2 papers)Nursing Outlook (1 paper)Journal of the American Medical Informatics Association (1 paper)American Journal of Physical Medicine & Rehabilitation (1 paper)Annals of Internal Medicine (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Jonathan McCall
16 papers receiving 408 citations
Peers
Comparison fields: 5 of 58
- Transplantation 26
- Health Informatics 13
- Health 41
- Epidemiology 165
- Public Health, Environmental and Occupational Health 81
Countries citing papers authored by Jonathan McCall
This map shows the geographic impact of Jonathan McCall'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 Jonathan McCall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan McCall more than expected).
Fields of papers citing papers by Jonathan McCall
This network shows the impact of papers produced by Jonathan McCall. 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 Jonathan McCall. The network helps show where Jonathan McCall may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan McCall, 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 | 2010 | 194 | |
| 2 | 2015 | 85 | |
| 3 | 2015 | 60 | |
| 4 | 2011 | 19 | |
| 5 | 2024 | 14 | |
| 6 | 2020 | 11 | |
| 7 | 2010 | 11 | |
| 8 | 2019 | 9 | |
| 9 | 2019 | 7 | |
| 10 | 2013 | 5 | |
| 11 | 2016 | 4 | |
| 12 | 2021 | 4 | |
| 13 | 2025 | 3 | |
| 14 | 2009 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2020 | 1 |
About Jonathan McCall
Jonathan McCall is a scholar working on Public Health, Environmental and Occupational Health, Critical Care and Intensive Care Medicine, General Health Professions, Health Informatics and Statistics, Probability and Uncertainty, having authored 16 papers that have together received 432 indexed citations. Recurring topics across this work include Intensive Care Unit Cognitive Disorders (2 papers), Health and Medical Research Impacts (2 papers), Meta-analysis and systematic reviews (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Antibiotic Use and Resistance (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Clinical Reasoning and Diagnostic Skills (1 paper) and Family and Patient Care in Intensive Care Units (1 paper). The work is most often cited by research in Transplantation (26 citations), Health Informatics (13 citations), Health (41 citations), Epidemiology (165 citations) and Public Health, Environmental and Occupational Health (81 citations). Jonathan McCall has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Andrew Dixon, Jenny K. Hoang, Frank Gaillard, Ryan T. Fitzgerald, Gordon Yung, Jeffrey T. Chapman, Robert D. Davis, Dianne Gallup, Scott M. Palmer and Aaron P. Milstone. Their work appears in journals such as Clinical Trials, Nursing Outlook, Journal of the American Medical Informatics Association, American Journal of Physical Medicine & Rehabilitation and Annals of Internal Medicine.
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.