Joann G. Elmore
- Oncology top 0.2%
- Artificial Intelligence top 0.2%
- General Health Professions top 0.2%
- Radiology, Nuclear Medicine and Imaging top 0.2%
- Public Health, Environmental and Occupational Health top 0.5%
- Co-authors
- Suzanne W. FletcherPatricia A. CarneyThomas D. KoepsellDonald L. WeaverIngrid A. BinswangerMary B. BartonAllen CheadleMarc F. Stern
- Topics
- Global Cancer Incidence and Screening (105 papers)AI in cancer detection (94 papers)Cutaneous Melanoma Detection and Management (46 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Joann G. Elmore
288 papers receiving 14.2k citations
Hit Papers
Peers
Comparison fields: 5 of 200
- Oncology 5.0k
- Artificial Intelligence 3.2k
- General Health Professions 3.0k
- Radiology, Nuclear Medicine and Imaging 2.7k
- Public Health, Environmental and Occupational Health 2.0k
Countries citing papers authored by Joann G. Elmore
This map shows the geographic impact of Joann G. Elmore'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 Joann G. Elmore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joann G. Elmore more than expected).
Fields of papers citing papers by Joann G. Elmore
This network shows the impact of papers produced by Joann G. Elmore. 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 Joann G. Elmore. The network helps show where Joann G. Elmore may publish in the future.
Co-authorship network of co-authors of Joann G. Elmore
This figure shows the co-authorship network connecting the top 25 collaborators of Joann G. Elmore. A scholar is included among the top collaborators of Joann G. Elmore 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 Joann G. Elmore. Joann G. Elmore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 31 | |
| 6 | 12 | |
| 7 | 15 | |
| 8 | 18 | |
| 9 | 11 | |
| 10 | 7 | |
| 11 | 10 | |
| 12 | OpenNotes After 7 Years: Patient Experiences With Ongoing Access to Their Clinicians’ Outpatient Visit Notesbreakdown → | 197 |
| 13 | 7 | |
| 14 | 2 | |
| 15 | 24 | |
| 16 | 72 | |
| 17 | 9 | |
| 18 | Health Records All Access Pass. Patient Portals That Allow Viewing of Clinical Notes and Hospital Discharge Summaries: The University of Washington Opennotes Implementation Experience. | 3 |
| 19 | 64 | |
| 20 | 54 |
About Joann G. Elmore
Joann G. Elmore is a scholar working on Family Practice, Medical Terminology and Oncology, having authored 291 papers that have together received 14.8k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (105 papers), AI in cancer detection (94 papers) and Cutaneous Melanoma Detection and Management (46 papers). The work is most often cited by research in Health Information Management (1.1k citations), Medical Terminology (61 citations) and Health Informatics (319 citations). Joann G. Elmore has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Suzanne W. Fletcher, Patricia A. Carney, Thomas D. Koepsell, Donald L. Weaver, Ingrid A. Binswanger, Mary B. Barton, Allen Cheadle, Marc F. Stern, Patrick J. Heagerty and Richard A. Deyo. Their work appears in journals such as New England Journal of Medicine, The Lancet and JAMA.
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.