Michael J. Keiser

48 papers and 5.2k indexed citations i.

About

Michael J. Keiser is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Michael J. Keiser has authored 48 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 24 papers in Computational Theory and Mathematics and 7 papers in Artificial Intelligence. Recurrent topics in Michael J. Keiser’s work include Computational Drug Discovery Methods (24 papers), Receptor Mechanisms and Signaling (9 papers) and Protein Structure and Dynamics (7 papers). Michael J. Keiser is often cited by papers focused on Computational Drug Discovery Methods (24 papers), Receptor Mechanisms and Signaling (9 papers) and Protein Structure and Dynamics (7 papers). Michael J. Keiser collaborates with scholars based in United States, Switzerland and United Kingdom. Michael J. Keiser's co-authors include Brian K. Shoichet, John J. Irwin, Bryan L. Roth, Blaine N. Armbruster, Paul Ernsberger, Jérôme Hert, Christian Laggner, Vincent Setola, Kangway V. Chuang and Atheir I. Abbas and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Michael J. Keiser i

Fields of papers citing papers by Michael J. Keiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael J. Keiser

Since Specialization
Citations

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