Daniel F. Hayes

101.0k citations
412 papers · 47.9k indexed · 27 hit papers · h-index 95

Daniel F. Hayes

403 papers receiving 46.7k citations

Hit Papers

Human...251198420261998201210002.0k3.0k

Peers

Daniel F. Hayes
Comparison fields: 5 of 180
  • Cancer Research 21.8k
  • Oncology 27.3k
  • Pathology and Forensic Medicine 6.5k
  • Pulmonary and Respiratory Medicine 9.7k
  • Radiology, Nuclear Medicine and Imaging 6.0k
Replace Eric P. Winer with:
Eric P. Winer United States
Larry Norton United States
Giuseppe Viale Italy
Mitch Dowsett United Kingdom
Clifford A. Hudis United States
Gary M. Clark United States
Nancy E. Davidson United States
Aman U. Buzdar United States
Martine Piccart Belgium
Aron Goldhirsch Italy
Daniel F. Hayes relative to Eric P. Winer United States Eric P. Winer's profile →
Citations per field
00.5×1.5×
Eric P. Winer · 1×
Citations per year

Countries citing papers authored by Daniel F. Hayes

Since Specialization
Citations

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

Fields of papers citing papers by Daniel F. Hayes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel F. Hayes. 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 Daniel F. Hayes. The network helps show where Daniel F. Hayes may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Daniel F. Hayes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel F. Hayes Line = papers co-authored together Daniel F. Hayes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20245
2 202214
3 202121
4 20207
5 201957
6 201845
7 20171
8 201711
9 201518
10 201575
11 2014104
12 2013209
13 201335
14 2012284
15 2012222
16 2006123
17 2005163
18
Coprescription of paroxetine with tamoxifen to reduce hot flashes reduced plasma 4-hydroxy-N-desmethyl-tamoxifen plasma concentrations in a CYP2D6-dependent manner
20011
19
Atlas of breast cancer
19934
20
Differential Reactivity of a Novel Monoclonal Antibody (DF3) with Human Malignant versus Benign Breast Tumorsbreakdown →
1984480

About Daniel F. Hayes

Daniel F. Hayes is a scholar working on Cancer Research, Oncology and Genetics, having authored 412 papers that have together received 47.9k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (121 papers), HER2/EGFR in Cancer Research (89 papers), Estrogen and related hormone effects (79 papers), Cancer Genomics and Diagnostics (76 papers), Cancer Treatment and Pharmacology (67 papers), Cancer Cells and Metastasis (58 papers), Advanced Breast Cancer Therapies (35 papers) and Monoclonal and Polyclonal Antibodies Research (34 papers). The work is most often cited by research in Cancer Research (21.8k citations), Oncology (27.3k citations) and Pathology and Forensic Medicine (6.5k citations). Daniel F. Hayes has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include N. Lynn Henry, Gerald V. Doyle, Lisa M. McShane, Massimo Cristofanilli, Leon W.M.M. Terstappen, Michael Craig Miller, Mark R. Somerfield, Jeri Matera, G. Thomas Budd and Vered Stearns. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

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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