Jonathan D. Kay
Impact in
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- Electronic Health Records Systems
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- Meta-analysis and systematic reviews
Papers in
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- Molecular Biology Techniques and Applications 2
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- Electronic Health Records Systems 2
- Co-authors
- Leigh‐Anne McDuffus (1 shared paper)Anne Y. Warren (1 shared paper)Hayley C. Whitaker (2 shared papers)David E. Neal (1 shared paper)Kevin Paddon (1 shared paper)Kate Goddard (1 shared paper)Abdul Roudsari (1 shared paper)Caroline M. Moore (1 shared paper)
- Journals
- Trends in Biochemical Sciences (1 paper)Annals of Clinical Biochemistry International Journal of Laboratory Medicine (1 paper)The Prostate (1 paper)Prostate Cancer and Prostatic Diseases (1 paper)Studies in health technology and informatics (2 papers)
- Partner nations
- United KingdomFranceCanada
In The Last Decade
Jonathan D. Kay
8 papers receiving 32 citations
Peers
Comparison fields: 5 of 36
- Health Information Management 5
- Statistics, Probability and Uncertainty 5
- Medical Laboratory Technology 1
- Family Practice 1
- Physiology 10
Countries citing papers authored by Jonathan D. Kay
This map shows the geographic impact of Jonathan D. Kay'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 D. Kay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan D. Kay more than expected).
Fields of papers citing papers by Jonathan D. Kay
This network shows the impact of papers produced by Jonathan D. Kay. 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 D. Kay. The network helps show where Jonathan D. Kay may publish in the future.
Co-authors
The 20 scholars most cited alongside Jonathan D. Kay, 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 | 2012 | 11 | |
| 2 | 2001 | 5 | |
| 3 | The Oxford clinical intranet: providing clinicians with access to patient records and multiple knowledge bases with internet technology. | 2004 | 5 |
| 4 | 2024 | 3 | |
| 5 | 2002 | 3 | |
| 6 | 2010 | 2 | |
| 7 | 1985 | 2 | |
| 8 | 2002 | 1 |
About Jonathan D. Kay
Jonathan D. Kay is a scholar working on Molecular Biology, Health Information Management, Pulmonary and Respiratory Medicine, Management Information Systems and Urology, having authored 8 papers that have together received 32 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (2 papers), Molecular Biology Techniques and Applications (2 papers), Electronic Health Records Systems (2 papers), Business Process Modeling and Analysis (1 paper), Blood donation and transfusion practices (1 paper), Muscle metabolism and nutrition (1 paper), Prostate Cancer Diagnosis and Treatment (1 paper) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Health Information Management (5 citations), Statistics, Probability and Uncertainty (5 citations), Medical Laboratory Technology (1 citation), Family Practice (1 citation) and Physiology (10 citations). Jonathan D. Kay has collaborated with scholars based in United Kingdom, France and Canada. Frequent co-authors include Leigh‐Anne McDuffus, Anne Y. Warren, Hayley C. Whitaker, David E. Neal, Kevin Paddon, Kate Goddard, Abdul Roudsari, Caroline M. Moore, Aiman Haider and Lina M. Carmona Echeverria. Their work appears in journals such as Trends in Biochemical Sciences, Annals of Clinical Biochemistry International Journal of Laboratory Medicine, The Prostate, Prostate Cancer and Prostatic Diseases and Studies in health technology and informatics.
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.