Jonathan Welt
Impact in
- Health Informatics top 10%
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- Artificial Intelligence in Healthcare
Papers in
-
- Monoclonal and Polyclonal Antibodies Research 2
- Optical Imaging and Spectroscopy Techniques 1
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- Traumatic Brain Injury Research 2
- Co-authors
- Patrick D. Tyler (2 shared papers)Sebastian Gehrmann (2 shared papers)Franck Dernoncourt (2 shared papers)Leo Anthony Celi (2 shared papers)Yeran Li (2 shared papers)Eric T. Carlson (2 shared papers)Joy T. Wu (2 shared papers)Edward T. Moseley (2 shared papers)
- Journals
- Scientific Reports (1 paper)Radiology (1 paper)Solar Energy Materials and Solar Cells (1 paper)Journal of Clinical Oncology (1 paper)JAMA Network Open (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Jonathan Welt
9 papers receiving 288 citations
Peers
Comparison fields: 5 of 84
- Health Informatics 18
- Health Information Management 42
- Artificial Intelligence 126
- Radiology, Nuclear Medicine and Imaging 85
- Oral Surgery 11
Countries citing papers authored by Jonathan Welt
This map shows the geographic impact of Jonathan Welt'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 Welt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Welt more than expected).
Fields of papers citing papers by Jonathan Welt
This network shows the impact of papers produced by Jonathan Welt. 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 Welt. The network helps show where Jonathan Welt may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Welt, 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 | 2018 | 146 | |
| 2 | 2020 | 59 | |
| 3 | 2017 | 26 | |
| 4 | 2018 | 25 | |
| 5 | 2010 | 21 | |
| 6 | [Determination of subjective burden from chronic inflammatory bowel disease and its psychosocial consequences. Results from a study of 200 patients]. | 1999 | 19 |
| 7 | 2024 | 5 | |
| 8 | 2014 | 1 | |
| 9 | 2016 | 1 |
About Jonathan Welt
Jonathan Welt is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology, Molecular Biology, Artificial Intelligence and Immunology, having authored 9 papers that have together received 303 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Machine Learning in Healthcare (2 papers), Traumatic Brain Injury Research (2 papers), Optical Imaging and Spectroscopy Techniques (1 paper), Optical Coherence Tomography Applications (1 paper), Nerve injury and regeneration (1 paper) and Inflammatory Bowel Disease (1 paper). The work is most often cited by research in Health Informatics (18 citations), Health Information Management (42 citations), Artificial Intelligence (126 citations), Radiology, Nuclear Medicine and Imaging (85 citations) and Oral Surgery (11 citations). Jonathan Welt has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Patrick D. Tyler, Sebastian Gehrmann, Franck Dernoncourt, Leo Anthony Celi, Yeran Li, Eric T. Carlson, Joy T. Wu, Edward T. Moseley, John Foote and Benjamin J. Vakoc. Their work appears in journals such as Scientific Reports, Radiology, Solar Energy Materials and Solar Cells, Journal of Clinical Oncology and JAMA Network Open.
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.