James Hoath
Impact in
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- Electronic Health Records Systems
- General Health Professions top 5%
- Mobile Health and mHealth Applications
- Health Literacy and Information Accessibility
Papers in
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- Mobile Health and mHealth Applications 2
- Health Sciences Research and Education 1
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- Biomedical Text Mining and Ontologies 2
- Co-authors
- Harold I. Goldberg (5 shared papers)Irl B. Hirsch (4 shared papers)James D. Ralston (4 shared papers)Mary Mullen (1 shared paper)Allen Cheadle (1 shared paper)Peter Tarczy‐Hornoch (2 shared papers)James T. Tufano (2 shared papers)Lynne T. Harris (2 shared papers)
- Journals
- Diabetes Care (1 paper)Diabetes Technology & Therapeutics (1 paper)Journal of Biomedical Informatics (1 paper)BMC Bioinformatics (1 paper)PubMed (2 papers)
- Partner nations
- United States
In The Last Decade
James Hoath
6 papers receiving 471 citations
Peers
Comparison fields: 5 of 77
- Health Information Management 90
- General Health Professions 156
- Endocrinology, Diabetes and Metabolism 89
- Applied Psychology 24
- Medical Terminology 1
Countries citing papers authored by James Hoath
This map shows the geographic impact of James Hoath'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 James Hoath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Hoath more than expected).
Fields of papers citing papers by James Hoath
This network shows the impact of papers produced by James Hoath. 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 James Hoath. The network helps show where James Hoath may publish in the future.
Co-authors
The 18 scholars most cited alongside James Hoath, 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 | 2008 | 209 | |
| 2 | 2011 | 94 | |
| 3 | 2003 | 57 | |
| 4 | 2010 | 56 | |
| 5 | 2010 | 46 | |
| 6 | Meeting clinician information needs by integrating access to the medical record and knowledge resources via the Web. | 1997 | 29 |
About James Hoath
James Hoath is a scholar working on General Health Professions, Molecular Biology, Endocrinology, Diabetes and Metabolism, Health Information Management and Pharmacology, having authored 6 papers that have together received 491 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (2 papers), Diabetes Management and Education (2 papers), Mobile Health and mHealth Applications (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Genomics and Rare Diseases (1 paper), Diabetes Management and Research (1 paper), Electronic Health Records Systems (1 paper) and Health Sciences Research and Education (1 paper). The work is most often cited by research in Health Information Management (90 citations), General Health Professions (156 citations), Endocrinology, Diabetes and Metabolism (89 citations), Applied Psychology (24 citations) and Medical Terminology (1 citation). James Hoath has collaborated with scholars based in United States. Frequent co-authors include Harold I. Goldberg, Irl B. Hirsch, James D. Ralston, Mary Mullen, Allen Cheadle, Peter Tarczy‐Hornoch, James T. Tufano, Lynne T. Harris, Jan Flowers and David L. Veenstra. Their work appears in journals such as Diabetes Care, Diabetes Technology & Therapeutics, Journal of Biomedical Informatics, BMC Bioinformatics and PubMed.
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.