Daniel F. Hayes
- Oncology top 0.01%
- Cancer Research top 0.01%
- Molecular Biology top 0.2%
- Pulmonary and Respiratory Medicine top 0.05%
- Pathology and Forensic Medicine top 0.05%
- Co-authors
- N. Lynn HenryGerald V. DoyleLisa M. McShaneMassimo CristofanilliLeon W.M.M. TerstappenMichael Craig MillerMark R. SomerfieldJeri Matera
- Topics
- Breast Cancer Treatment Studies (121 papers)HER2/EGFR in Cancer Research (89 papers)Estrogen and related hormone effects (79 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Daniel F. Hayes
403 papers receiving 46.7k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Oncology 27.3k
- Cancer Research 21.8k
- Molecular Biology 13.3k
- Pulmonary and Respiratory Medicine 9.7k
- Pathology and Forensic Medicine 6.5k
Countries citing papers authored by Daniel F. Hayes
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
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 of co-authors of Daniel F. Hayes
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel F. Hayes. A scholar is included among the top collaborators of Daniel F. Hayes 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 Daniel F. Hayes. Daniel F. Hayes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 14 | |
| 3 | 21 | |
| 4 | 7 | |
| 5 | 57 | |
| 6 | 45 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 18 | |
| 10 | 75 | |
| 11 | 104 | |
| 12 | 209 | |
| 13 | 35 | |
| 14 | 284 | |
| 15 | 222 | |
| 16 | 123 | |
| 17 | 163 | |
| 18 | Coprescription of paroxetine with tamoxifen to reduce hot flashes reduced plasma 4-hydroxy-N-desmethyl-tamoxifen plasma concentrations in a CYP2D6-dependent manner | 1 |
| 19 | Atlas of breast cancer | 4 |
| 20 | Differential Reactivity of a Novel Monoclonal Antibody (DF3) with Human Malignant versus Benign Breast Tumorsbreakdown → | 480 |
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) and Estrogen and related hormone effects (79 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.