Chad Livasy

17.6k citations
95 papers · 11.3k indexed · 5 hit papers · h-index 35
Topics
Breast Cancer Treatment Studies (32 papers)Breast Lesions and Carcinomas (17 papers)HER2/EGFR in Cancer Research (15 papers)

In The Last Decade

Chad Livasy

89 papers receiving 11.1k citations

Hit Papers

Race, Breast Cancer Subtypes, and Survival in the Carolin...20042026201120182006200420102005200750010001.5k2.0k2.5k

Peers

Chad Livasy
Comparison fields: 5 of 137
  • Oncology 6.6k
  • Cancer Research 6.0k
  • Molecular Biology 3.9k
  • Pulmonary and Respiratory Medicine 1.8k
  • Pathology and Forensic Medicine 1.7k
Replace Lynn G. Dressler with:
Lynn G. Dressler United States
Celina G. Kleer United States
Joseph Geradts United States
Jocelyne Jacquemier France
Johannes L. Peterse Netherlands
Luc Dirix Belgium
Aňa Lluch Spain
D. Craig Allred United States
Ronald Simon Germany
Lyndsay N. Harris United States
Chad Livasy relative to Lynn G. Dressler United States Lynn G. Dressler's profile →
Citations per field
00.5×1.5×1.8×
Lynn G. Dressler · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 3
2 10
3 1
4 2
5 2
6 5
7 81
8 66
9 12
10 38
11 18
12 94
13 139
14 1
15 68
16 9
17
Epidemiology of basal-like breast cancerbreakdown →
691
18
The Estrogen Receptor-Alpha A908 (k303R) Mutation Occurs at a Low Frequency in Invasive Breast Tumors: Results From a Population-Based Study
15
19 42
20
Solitary nasal ala nodule in a young woman
0

About Chad Livasy

Chad Livasy is a scholar working on Cancer Research, Oncology and Immunology and Allergy, having authored 95 papers that have together received 11.3k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (32 papers), Breast Lesions and Carcinomas (17 papers) and HER2/EGFR in Cancer Research (15 papers). The work is most often cited by research in Cancer Research (6.0k citations), Oncology (6.6k citations) and Pathology and Forensic Medicine (1.7k citations). Chad Livasy has collaborated with scholars based in United States, Germany and Australia. Frequent 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. Their work appears in journals such as JAMA, Journal of Clinical Oncology and Cancer.

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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