Michael Cantor

38 papers and 3.6k indexed citations i.

About

Michael Cantor is a scholar working on Molecular Biology, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Michael Cantor has authored 38 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Artificial Intelligence and 6 papers in Epidemiology. Recurrent topics in Michael Cantor’s work include Biomedical Text Mining and Ontologies (14 papers), Bioinformatics and Genomic Networks (8 papers) and Semantic Web and Ontologies (7 papers). Michael Cantor is often cited by papers focused on Biomedical Text Mining and Ontologies (14 papers), Bioinformatics and Genomic Networks (8 papers) and Semantic Web and Ontologies (7 papers). Michael Cantor collaborates with scholars based in United States, Canada and United Kingdom. Michael Cantor's co-authors include Olga G. Troyanskaya, Pat Brown, Trevor Hastie, Gavin Sherlock, Russ B. Altman, David Botstein, Robert Tibshirani, Lorna E. Thorpe, Henrik Nordberg and Alexander Poliakov and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and The Journal of Infectious Diseases.

In The Last Decade

Co-authorship network of co-authors of Michael Cantor i

Fields of papers citing papers by Michael Cantor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Cantor

Since Specialization
Citations

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