Jonathan Welt
Impact in
- Health Informatics top 10%
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- Artificial Intelligence in Healthcare
Papers in
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- Monoclonal and Polyclonal Antibodies Research 2
- Optical Imaging and Spectroscopy Techniques 1
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- Biomedical Text Mining and Ontologies 2
- Co-authors
- Edward T. Moseley (2 shared papers)Patrick D. Tyler (2 shared papers)Franck Dernoncourt (2 shared papers)Joy T. Wu (2 shared papers)Eric T. Carlson (2 shared papers)Sebastian Gehrmann (2 shared papers)Yeran Li (2 shared papers)Leo Anthony Celi (2 shared papers)
- Journals
- Journal of Clinical Oncology (1 paper)Solar Energy Materials and Solar Cells (1 paper)International Journal of Medical Informatics (1 paper)PLoS ONE (1 paper)Oncotarget (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Jonathan Welt
9 papers receiving 297 citations
Peers
Comparison fields: 5 of 76
- Health Informatics 13
- Health Information Management 32
- Radiology, Nuclear Medicine and Imaging 81
- Artificial Intelligence 98
- Psychiatry and Mental health 19
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 | 149 | |
| 2 | 2020 | 63 | |
| 3 | 2017 | 26 | |
| 4 | 2018 | 26 | |
| 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 | 6 | |
| 8 | 2014 | 1 | |
| 9 | 2016 | 1 |
About Jonathan Welt
Jonathan Welt is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Epidemiology, Artificial Intelligence and Immunology, having authored 9 papers that have together received 312 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (2 papers), Biomedical Text Mining and Ontologies (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Chalcogenide Semiconductor Thin Films (1 paper), Optical Coherence Tomography Applications (1 paper), Adolescent and Pediatric Healthcare (1 paper), Optical Imaging and Spectroscopy Techniques (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Health Informatics (13 citations), Health Information Management (32 citations), Radiology, Nuclear Medicine and Imaging (81 citations), Artificial Intelligence (98 citations) and Psychiatry and Mental health (19 citations). Jonathan Welt has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Edward T. Moseley, Patrick D. Tyler, Franck Dernoncourt, Joy T. Wu, Eric T. Carlson, Sebastian Gehrmann, Yeran Li, Leo Anthony Celi, John Foote and Isabel Chico‐Calero. Their work appears in journals such as Journal of Clinical Oncology, Solar Energy Materials and Solar Cells, International Journal of Medical Informatics, PLoS ONE and Oncotarget.
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.