Evan Sholle
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Electronic Health Records Systems
- Artificial Intelligence in Healthcare
Papers in
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- Machine Learning in Healthcare 9
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- Biomedical Text Mining and Ontologies 9
- Co-authors
- Thomas R. Campion (24 shared papers)Jyotishman Pathak (9 shared papers)Prakash Adekkanattu (6 shared papers)Marika Cusick (6 shared papers)Stephen B. Johnson (4 shared papers)Curtis L. Cole (9 shared papers)John P. Leonard (4 shared papers)Monika M. Safford (2 shared papers)
- Journals
- Journal of the American Medical Informatics Association (4 papers)PLoS ONE (4 papers)JAMA Network Open (3 papers)Journal of Biomedical Informatics (3 papers)International Journal of Medical Informatics (2 papers)
- Partner nations
- United StatesSingaporeNetherlands
In The Last Decade
Evan Sholle
38 papers receiving 539 citations
Peers
Comparison fields: 5 of 91
- Health Informatics 50
- Health Information Management 105
- Family Practice 10
- Information Systems and Management 30
- Health 36
Countries citing papers authored by Evan Sholle
This map shows the geographic impact of Evan Sholle'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 Evan Sholle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evan Sholle more than expected).
Fields of papers citing papers by Evan Sholle
This network shows the impact of papers produced by Evan Sholle. 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 Evan Sholle. The network helps show where Evan Sholle may publish in the future.
Co-authors
The 25 scholars most cited alongside Evan Sholle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 56 | |
| 2 | 2021 | 48 | |
| 3 | Secondary Use of Patients' Electronic Records (SUPER): An Approach for Meeting Specific Data Needs of Clinical and Translational Researchers. | 2017 | 40 |
| 4 | 2020 | 34 | |
| 5 | 2020 | 32 | |
| 6 | 2024 | 30 | |
| 7 | 2024 | 20 | |
| 8 | Evaluation of a REDCap-based Workflow for Supporting Federal Guidance for Electronic Informed Consent. | 2019 | 20 |
| 9 | 2020 | 19 | |
| 10 | 2023 | 19 | |
| 11 | Ascertaining Depression Severity by Extracting Patient Health Questionnaire-9 (PHQ-9) Scores from Clinical Notes. | 2018 | 19 |
| 12 | 2020 | 18 | |
| 13 | 2021 | 16 | |
| 14 | 2020 | 16 | |
| 15 | 2021 | 15 | |
| 16 | 2020 | 14 | |
| 17 | 2021 | 13 | |
| 18 | Generalizable Middleware to Support Use of REDCap Dynamic Data Pull for Integrating Clinical and Research Data. | 2017 | 13 |
| 19 | 2020 | 13 | |
| 20 | 2021 | 11 |
About Evan Sholle
Evan Sholle is a scholar working on Artificial Intelligence, Molecular Biology, Health Information Management, Information Systems and Management and Public Health, Environmental and Occupational Health, having authored 40 papers that have together received 543 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (9 papers), Machine Learning in Healthcare (9 papers), Electronic Health Records Systems (6 papers), Scientific Computing and Data Management (6 papers), Ethics in Clinical Research (5 papers), Mental Health via Writing (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Health Informatics (50 citations), Health Information Management (105 citations), Family Practice (10 citations), Information Systems and Management (30 citations) and Health (36 citations). Evan Sholle has collaborated with scholars based in United States, Singapore and Netherlands. Frequent co-authors include Thomas R. Campion, Jyotishman Pathak, Prakash Adekkanattu, Marika Cusick, Stephen B. Johnson, Curtis L. Cole, John P. Leonard, Monika M. Safford, Laura C. Pinheiro and Yiye Zhang. Their work appears in journals such as Journal of the American Medical Informatics Association, PLoS ONE, JAMA Network Open, Journal of Biomedical Informatics and International Journal of Medical 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.