James R. Flanagan
- Molecular Biology
- Immunology top 5%
- Oncology top 10%
- Genetics top 10%
- Cancer Research
- Co-authors
- Keiko OzatoEttore AppellaDavid L. EnnistPaul H. DriggersS L GleasonB. LeviBarry GanetzkyKevin G. Becker
- Topics
- Genetics, Aging, and Longevity in Model Organisms (5 papers)Telemedicine and Telehealth Implementation (4 papers)Patient Satisfaction in Healthcare (3 papers)
- Cited by
- AgingImmunologyVirology
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchMolecular and Cellular Biology
- Partner nations
- United StatesHungaryPakistan
In The Last Decade
James R. Flanagan
29 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 626
- Immunology 435
- Oncology 256
- Genetics 214
- Cancer Research 122
Countries citing papers authored by James R. Flanagan
This map shows the geographic impact of James R. Flanagan'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 R. Flanagan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James R. Flanagan more than expected).
Fields of papers citing papers by James R. Flanagan
This network shows the impact of papers produced by James R. Flanagan. 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 R. Flanagan. The network helps show where James R. Flanagan may publish in the future.
Co-authorship network of co-authors of James R. Flanagan
This figure shows the co-authorship network connecting the top 25 collaborators of James R. Flanagan. A scholar is included among the top collaborators of James R. Flanagan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James R. Flanagan. James R. Flanagan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Computer-assisted coding: what's here, what's ahead. | 1 |
| 2 | 39 | |
| 3 | 23 | |
| 4 | 14 | |
| 5 | 7 | |
| 6 | 18 | |
| 7 | Web-Based Tutorial Training for a Regional Network of Clinical Providers. | 3 |
| 8 | Clinical communication among health providers and systems using Web tools. | 6 |
| 9 | Predicting survival of patients with sepsis by use of regression and neural network models. | 7 |
| 10 | Cost-effective health information systems: user-driven internal development at the University of Iowa. | 1 |
| 11 | 90 | |
| 12 | 42 | |
| 13 | 94 | |
| 14 | 333 | |
| 15 | 80 | |
| 16 | 8 | |
| 17 | 1 | |
| 18 | 92 | |
| 19 | 12 | |
| 20 | 3 |
About James R. Flanagan
James R. Flanagan is a scholar working on Aging, Health Information Management and Occupational Therapy, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (5 papers), Telemedicine and Telehealth Implementation (4 papers) and Patient Satisfaction in Healthcare (3 papers). The work is most often cited by research in Aging (49 citations), Immunology (435 citations) and Virology (56 citations). James R. Flanagan has collaborated with scholars based in United States, Hungary and Pakistan. Frequent co-authors include Keiko Ozato, Ettore Appella, David L. Ennist, Paul H. Driggers, S L Gleason, B. Levi, Barry Ganetzky, Kevin G. Becker, Michael S. Marks and Bonnie J. Wakefield. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Molecular and Cellular Biology.
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.