Travis Zack

26 papers and 3.1k indexed citations i.

About

Travis Zack is a scholar working on Artificial Intelligence, Health Informatics and Molecular Biology. According to data from OpenAlex, Travis Zack has authored 26 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Health Informatics and 7 papers in Molecular Biology. Recurrent topics in Travis Zack’s work include Artificial Intelligence in Healthcare and Education (8 papers), Machine Learning in Healthcare (4 papers) and Topic Modeling (3 papers). Travis Zack is often cited by papers focused on Artificial Intelligence in Healthcare and Education (8 papers), Machine Learning in Healthcare (4 papers) and Topic Modeling (3 papers). Travis Zack collaborates with scholars based in United States, Canada and United Kingdom. Travis Zack's co-authors include Rameen Beroukhim, Scott L. Carter, Gad Getz, Peter W. Laird, Matthew Meyerson, Hui Shen, Steven E. Schumacher, Barbara A. Weir, Stacey Gabriel and Aaron McKenna and has published in prestigious journals such as Nature, Cell and Nature Medicine.

In The Last Decade

Co-authorship network of co-authors of Travis Zack i

Fields of papers citing papers by Travis Zack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Travis Zack

Since Specialization
Citations

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