Tom Chu

20 papers and 818 indexed citations i.

About

Tom Chu is a scholar working on Epidemiology, Molecular Biology and Hepatology. According to data from OpenAlex, Tom Chu has authored 20 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 7 papers in Molecular Biology and 6 papers in Hepatology. Recurrent topics in Tom Chu’s work include Influenza Virus Research Studies (8 papers), Hepatitis C virus research (6 papers) and Receptor Mechanisms and Signaling (6 papers). Tom Chu is often cited by papers focused on Influenza Virus Research Studies (8 papers), Hepatitis C virus research (6 papers) and Receptor Mechanisms and Signaling (6 papers). Tom Chu collaborates with scholars based in United States, Switzerland and New Zealand. Tom Chu's co-authors include Uri Lopatin, Craig R. Rayner, Nancy S. Shulman, Patrick F. Smith, Peter Angus, Stuart K. Roberts, David Ipe, Edward Gane, Brett Ritchie and Eric Prinssen and has published in prestigious journals such as The Lancet, Nature Medicine and Gastroenterology.

In The Last Decade

Co-authorship network of co-authors of Tom Chu i

Fields of papers citing papers by Tom Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tom Chu

Since Specialization
Citations

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