David Euhus

12.4k total citations · 4 hit papers
128 papers, 7.5k citations indexed

About

David Euhus is a scholar working on Cancer Research, Oncology and Genetics. According to data from OpenAlex, David Euhus has authored 128 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Cancer Research, 50 papers in Oncology and 41 papers in Genetics. Recurrent topics in David Euhus's work include Breast Cancer Treatment Studies (41 papers), BRCA gene mutations in cancer (35 papers) and Cancer Genomics and Diagnostics (26 papers). David Euhus is often cited by papers focused on Breast Cancer Treatment Studies (41 papers), BRCA gene mutations in cancer (35 papers) and Cancer Genomics and Diagnostics (26 papers). David Euhus collaborates with scholars based in United States, United Kingdom and Switzerland. David Euhus's co-authors include Jonathan W. Uhr, Frank E. Johnson, Charles Hudd, Marie C. LaRegina, Leon W.M.M. Terstappen, Philipp E. Scherer, Jiyoung Park, Arthur J. Weiss, Chinthalapally V. Rao and Emilian Racila and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and Journal of Clinical Oncology.

In The Last Decade

David Euhus

127 papers receiving 7.3k citations

Hit Papers

Circulating Tumor Cells in Patients with Breast... 1986 2026 1999 2012 2004 2000 1998 1986 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Euhus United States 40 3.1k 3.0k 2.4k 1.4k 1.4k 128 7.5k
Michael S. Sabel United States 51 3.8k 1.2× 2.7k 0.9× 3.0k 1.3× 1.5k 1.0× 434 0.3× 174 8.8k
Seema A. Khan United States 41 2.5k 0.8× 3.2k 1.1× 1.4k 0.6× 1.6k 1.1× 975 0.7× 229 7.3k
Christian Ingvar Sweden 48 3.9k 1.3× 1.8k 0.6× 2.0k 0.8× 624 0.4× 900 0.6× 221 7.3k
Sudhir Srivastava United States 41 3.6k 1.2× 2.7k 0.9× 3.4k 1.4× 1.1k 0.8× 631 0.5× 142 8.9k
Randall E. Brand United States 54 5.6k 1.8× 2.4k 0.8× 3.2k 1.3× 2.8k 1.9× 652 0.5× 253 9.8k
Nishant Agrawal United States 41 2.6k 0.9× 3.1k 1.0× 3.2k 1.3× 2.0k 1.4× 537 0.4× 177 9.2k
Rainer Kimmig Germany 52 3.6k 1.2× 2.3k 0.8× 2.2k 0.9× 1.5k 1.1× 476 0.3× 402 10.3k
Hellmut Samonigg Austria 41 4.0k 1.3× 2.9k 1.0× 1.9k 0.8× 750 0.5× 1.2k 0.8× 118 6.6k
Robert S. Warren United States 43 3.9k 1.3× 1.5k 0.5× 3.5k 1.5× 1.3k 0.9× 847 0.6× 123 8.7k
William T. Barry United States 47 4.3k 1.4× 2.4k 0.8× 2.1k 0.9× 550 0.4× 967 0.7× 191 8.4k

Countries citing papers authored by David Euhus

Since Specialization
Citations

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

Fields of papers citing papers by David Euhus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Euhus

This figure shows the co-authorship network connecting the top 25 collaborators of David Euhus. A scholar is included among the top collaborators of David Euhus 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 David Euhus. David Euhus 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
1.
Rao, Roshni, Aeisha Rivers, Asal Rahimi, et al.. (2016). Genetic Ancestry using Mitochondrial DNA in patients with Triple‐negative breast cancer (GAMiT study). Cancer. 123(1). 107–113. 6 indexed citations
2.
Hunt, Kelly K., David Euhus, Judy C. Boughey, et al.. (2016). Society of Surgical Oncology Breast Disease Working Group Statement on Prophylactic (Risk-Reducing) Mastectomy. Annals of Surgical Oncology. 24(2). 375–397. 59 indexed citations
4.
Bey, Erik A., Kathryn E. Reinicke, Melissa C. Srougi, et al.. (2013). Catalase Abrogates β-Lapachone–Induced PARP1 Hyperactivation–Directed Programmed Necrosis in NQO1-Positive Breast Cancers. Molecular Cancer Therapeutics. 12(10). 2110–2120. 84 indexed citations
6.
Bu, Dawei, Cheryl Lewis, Venetia Sarode, et al.. (2013). Identification of Breast Cancer DNA Methylation Markers Optimized for Fine-Needle Aspiration Samples. Cancer Epidemiology Biomarkers & Prevention. 22(12). 2212–2221. 11 indexed citations
8.
Bailey, Steven H., Michel Saint‐Cyr, Georgette Oni, et al.. (2011). Aesthetic Subunit of the Breast. Annals of Plastic Surgery. 68(3). 240–245. 12 indexed citations
9.
Sarode, Venetia, David Euhus, Matthew P. Thompson, & Yan Peng. (2011). Atypical Endosalpingiosis in Axillary Sentinel Lymph Node: A Potential Source of False-Positive Diagnosis of Metastasis. The Breast Journal. 17(6). 672–673. 5 indexed citations
10.
Gao, Boning, Xian‐Jin Xie, David S. Shames, et al.. (2008). RASSF1A Polymorphism A133S Is Associated with Early Onset Breast Cancer in BRCA1/2 Mutation Carriers. Cancer Research. 68(1). 22–25. 40 indexed citations
11.
Bu, Dawei, et al.. (2006). An intronic polymorphism associated with increased XRCC1 expression, reduced apoptosis and familial breast cancer. Breast Cancer Research and Treatment. 99(3). 257–265. 27 indexed citations
12.
Lewis, Cheryl, Dawei Bu, Adam W. Beck, et al.. (2006). Telomerase immortalization of human mammary epithelial cells derived from a BRCA2 mutation carrier. Breast Cancer Research and Treatment. 99(1). 103–115. 10 indexed citations
13.
Naftalis, Elizabeth Z., et al.. (2006). Carcinogen-Induced DNA Double Strand Break Repair in Sporadic Breast Cancer. Journal of Surgical Research. 135(1). 120–128. 10 indexed citations
14.
Fehm, Tanja, Arthur I. Sagalowsky, Edward Clifford, et al.. (2002). Cytogenetic evidence that circulating epithelial cells in patients with carcinoma are malignant.. PubMed. 8(7). 2073–84. 241 indexed citations
15.
Euhus, David, A. Marilyn Leitch, James F. Huth, & George N. Peters. (2002). Limitations of the Gail Model in the Specialized Breast Cancer Risk Assessment Clinic. The Breast Journal. 8(1). 23–27. 47 indexed citations
16.
O’Shaughnessy, Joyce, Britt‐Marie Ljung, William C. Dooley, et al.. (2002). Ductal lavage and the clinical management of women at high risk for breast carcinoma. Cancer. 94(2). 292–298. 32 indexed citations
17.
Euhus, David. (2002). RESPONSE: Re: Pretest Prediction of BRCA1 or BRCA2 Mutation by Risk Counselors and the Computer Model BRCAPRO. JNCI Journal of the National Cancer Institute. 94(20). 1583–1584. 1 indexed citations
18.
Euhus, David, et al.. (1999). Loss of Heterozygosity at 3p in Benign Lesions Preceding Invasive Breast Cancer. Journal of Surgical Research. 83(1). 13–18. 15 indexed citations
19.
Euhus, David, Anirban Maitra, Ignacio I. Wistuba, et al.. (1999). Use of archival fine-needle aspirates for the allelotyping of tumors. Cancer. 87(6). 372–379. 14 indexed citations
20.
Euhus, David, et al.. (1997). Expansion of CD3+CD56+ lymphocytes correlates with induction of cytotoxicity by interleukin-2 gene transfer in human breast tumor cultures. Annals of Surgical Oncology. 4(5). 432–439. 8 indexed citations

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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