Chad Livasy

162 total papers · 17.5k total citations
95 papers, 11.3k citations indexed

About

Chad Livasy is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Chad Livasy has authored 95 papers receiving a total of 11.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cancer Research, 36 papers in Oncology and 21 papers in Pathology and Forensic Medicine. Recurrent topics in Chad Livasy's work include Breast Cancer Treatment Studies (31 papers), Breast Lesions and Carcinomas (17 papers) and HER2/EGFR in Cancer Research (14 papers). Chad Livasy is often cited by papers focused on Breast Cancer Treatment Studies (31 papers), Breast Lesions and Carcinomas (17 papers) and HER2/EGFR in Cancer Research (14 papers). Chad Livasy collaborates with scholars based in United States, Germany and India. Chad Livasy's co-authors include Charles M. Perou, Gamze Karaca, Lynn G. Dressler, Lisa A. Carey, Maggie C.U. Cheang, Torsten O. Nielsen, Robert C. Millikan, Joseph Geradts, Xiaping He and Kathleen Conway and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and Cancer.

In The Last Decade

Chad Livasy

88 papers receiving 11.0k citations

Hit Papers

Race, Breast Cancer Subty... 2004 2026 2011 2018 2006 2004 2010 2005 2007 500 1000 1.5k 2.0k 2.5k

Author Peers

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

Author Last Decade Papers Cites
Chad Livasy 6.6k 6.0k 3.9k 1.8k 1.7k 95 11.3k
Jocelyne Jacquemier 6.2k 0.9× 4.4k 0.7× 4.7k 1.2× 1.8k 1.0× 1.7k 1.0× 109 10.7k
Lynn G. Dressler 5.1k 0.8× 4.8k 0.8× 2.7k 0.7× 1.2k 0.7× 1.5k 0.9× 50 8.6k
Turid Aas 5.7k 0.9× 5.3k 0.9× 5.7k 1.5× 1.3k 0.7× 1.3k 0.8× 59 11.5k
Joseph Geradts 6.5k 1.0× 5.1k 0.9× 5.2k 1.3× 2.1k 1.2× 1.4k 0.8× 198 12.9k
Celina G. Kleer 7.9k 1.2× 5.7k 1.0× 9.2k 2.4× 1.9k 1.0× 2.0k 1.2× 173 17.2k
C.W. Elston 5.7k 0.9× 6.6k 1.1× 2.8k 0.7× 1.2k 0.6× 3.8k 2.2× 95 11.3k
Joffre Baker 5.0k 0.8× 7.3k 1.2× 4.5k 1.2× 1.5k 0.8× 1.6k 0.9× 68 12.1k
Reiki Nishimura 6.8k 1.0× 6.2k 1.0× 5.4k 1.4× 2.6k 1.4× 1.5k 0.9× 131 13.3k
Richard Elledge 6.2k 0.9× 4.3k 0.7× 2.8k 0.7× 1.9k 1.0× 1.5k 0.8× 102 10.0k
Nobuyuki Arima 6.3k 1.0× 6.0k 1.0× 5.7k 1.5× 2.4k 1.3× 1.5k 0.9× 86 13.3k

Countries citing papers authored by Chad Livasy

Since Specialization
Citations

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

Fields of papers citing papers by Chad Livasy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chad Livasy

This figure shows the co-authorship network connecting the top 25 collaborators of Chad Livasy. A scholar is included among the top collaborators of Chad Livasy 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 Chad Livasy. Chad Livasy 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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2026