Jonathan Welt

10 papers and 266 indexed citations i.

About

Jonathan Welt is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Jonathan Welt has authored 10 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Artificial Intelligence and 3 papers in Epidemiology. Recurrent topics in Jonathan Welt’s work include Machine Learning in Healthcare (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Biomedical Text Mining and Ontologies (2 papers). Jonathan Welt is often cited by papers focused on Machine Learning in Healthcare (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Biomedical Text Mining and Ontologies (2 papers). Jonathan Welt collaborates with scholars based in United States, Finland and Germany. Jonathan Welt's co-authors include Leo Anthony Celi, Franck Dernoncourt, Yeran Li, Patrick D. Tyler, Edward T. Moseley, Joy T. Wu, Sebastian Gehrmann, Eric T. Carlson, John Foote and Isabel Chico‐Calero and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Jonathan Welt i

Fields of papers citing papers by Jonathan Welt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Jonathan Welt

Since Specialization
Citations

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).

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.

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2025