Chris Mungall

136 papers and 12.4k indexed citations i.

About

Chris Mungall is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Chris Mungall has authored 136 papers receiving a total of 12.4k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Molecular Biology, 57 papers in Artificial Intelligence and 32 papers in Genetics. Recurrent topics in Chris Mungall’s work include Biomedical Text Mining and Ontologies (97 papers), Bioinformatics and Genomic Networks (67 papers) and Semantic Web and Ontologies (50 papers). Chris Mungall is often cited by papers focused on Biomedical Text Mining and Ontologies (97 papers), Bioinformatics and Genomic Networks (67 papers) and Semantic Web and Ontologies (50 papers). Chris Mungall collaborates with scholars based in United States, United Kingdom and Germany. Chris Mungall's co-authors include Suzanna Lewis, Shengqiang Shu, Amelia Ireland, Lincoln Stein, Michael Ashburner, Seth Carbon, Melissa Haendel, Brad Marshall, Barry Smith and Karen Eilbeck and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Co-authorship network of co-authors of Chris Mungall i

Fields of papers citing papers by Chris Mungall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris Mungall. 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 Chris Mungall. The network helps show where Chris Mungall may publish in the future.

Countries citing papers authored by Chris Mungall

Since Specialization
Citations

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