Joseph M. Chan

97 total papers · 7.1k total citations
25 papers, 1.9k citations indexed

About

Joseph M. Chan is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Joseph M. Chan has authored 25 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 8 papers in Molecular Biology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Joseph M. Chan's work include Lung Cancer Research Studies (11 papers), Lung Cancer Treatments and Mutations (5 papers) and Influenza Virus Research Studies (4 papers). Joseph M. Chan is often cited by papers focused on Lung Cancer Research Studies (11 papers), Lung Cancer Treatments and Mutations (5 papers) and Influenza Virus Research Studies (4 papers). Joseph M. Chan collaborates with scholars based in United States, Japan and Italy. Joseph M. Chan's co-authors include Raúl Rabadán, Charles M. Rudin, Àlvaro Quintanal-Villalonga, Dana Pe’er, Helena A. Yu, Triparna Sen, Gunnar Carlsson, Charles L. Sawyers, Adina Grunn and Annalisa Chiarenza and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Genetics.

In The Last Decade

Joseph M. Chan

23 papers receiving 1.8k citations

Hit Papers

Analysis of the coding ge... 2011 2026 2016 2021 2011 2020 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Joseph M. Chan 767 714 455 399 332 25 1.9k
Matthew D. Ducar 638 0.8× 481 0.7× 374 0.8× 466 1.2× 468 1.4× 22 2.1k
Eric Talevich 1.3k 1.7× 1.0k 1.4× 319 0.7× 472 1.2× 767 2.3× 21 2.8k
Jordi Barretina 1.3k 1.7× 733 1.0× 240 0.5× 528 1.3× 439 1.3× 43 2.6k
Matthew J. Davis 1.0k 1.3× 639 0.9× 204 0.4× 206 0.5× 361 1.1× 14 1.6k
A. John Iafrate 951 1.2× 938 1.3× 291 0.6× 866 2.2× 374 1.1× 53 2.6k
Sylvie Laquerre 1.6k 2.0× 1.0k 1.4× 229 0.5× 379 0.9× 174 0.5× 43 2.5k
Masayuki Matsumura 568 0.7× 611 0.9× 195 0.4× 394 1.0× 202 0.6× 37 1.6k
George Vande Woude 1.5k 2.0× 703 1.0× 322 0.7× 556 1.4× 310 0.9× 30 2.7k
Douglas J. Demetrick 1.3k 1.6× 1.0k 1.4× 235 0.5× 192 0.5× 301 0.9× 66 2.3k
I Taylor 1.6k 2.0× 554 0.8× 451 1.0× 334 0.8× 396 1.2× 39 2.9k

Countries citing papers authored by Joseph M. Chan

Since Specialization
Citations

This map shows the geographic impact of Joseph M. Chan'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 Joseph M. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph M. Chan more than expected).

Fields of papers citing papers by Joseph M. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph M. Chan. 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 Joseph M. Chan. The network helps show where Joseph M. Chan may publish in the future.

Co-authorship network of co-authors of Joseph M. Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph M. Chan. A scholar is included among the top collaborators of Joseph M. Chan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joseph M. Chan. Joseph M. Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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