Wendy W. Chapman

148 papers and 6.0k indexed citations i.

About

Wendy W. Chapman is a scholar working on Molecular Biology, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Wendy W. Chapman has authored 148 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 60 papers in Artificial Intelligence and 30 papers in Epidemiology. Recurrent topics in Wendy W. Chapman’s work include Biomedical Text Mining and Ontologies (65 papers), Topic Modeling (45 papers) and Natural Language Processing Techniques (25 papers). Wendy W. Chapman is often cited by papers focused on Biomedical Text Mining and Ontologies (65 papers), Topic Modeling (45 papers) and Natural Language Processing Techniques (25 papers). Wendy W. Chapman collaborates with scholars based in United States, Australia and Sweden. Wendy W. Chapman's co-authors include Lucila Ohno‐Machado, Prakash M. Nadkarni, John Dowling, Gregory F. Cooper, Paul Hanbury, Will Bridewell, Bruce G. Buchanan, Clement J. McDonald, Dina Demner‐Fushman and Peter J. Haug and has published in prestigious journals such as Gastroenterology, Annals of Surgery and American Journal of Epidemiology.

In The Last Decade

Co-authorship network of co-authors of Wendy W. Chapman i

Fields of papers citing papers by Wendy W. Chapman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wendy W. Chapman. 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 Wendy W. Chapman. The network helps show where Wendy W. Chapman may publish in the future.

Countries citing papers authored by Wendy W. Chapman

Since Specialization
Citations

This map shows the geographic impact of Wendy W. Chapman'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 Wendy W. Chapman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wendy W. Chapman 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