D. F. Hayes
- Cancer Research top 2%
- Breast Cancer Treatment Studies 9
- Cancer Genomics and Diagnostics 5
- Oncology top 5%
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- Breast Lesions and Carcinomas 3
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research 3
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- Lung Cancer Treatments and Mutations 4
- Advanced Breast Cancer Therapies 3
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- Estrogen and related hormone effects 3
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- Infant Nutrition and Health 2
D. F. Hayes
19 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Cancer Research 745
- Oncology 731
- Radiology, Nuclear Medicine and Imaging 435
- Pathology and Forensic Medicine 250
- Molecular Biology 872
Countries citing papers authored by D. F. Hayes
This map shows the geographic impact of D. 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 D. 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 D. F. Hayes more than expected).
Fields of papers citing papers by D. F. Hayes
This network shows the impact of papers produced by D. 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 D. F. Hayes. The network helps show where D. F. Hayes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside D. F. Hayes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 42 | |
| 2 | 2015 | 1 | |
| 3 | 2014 | 37 | |
| 4 | 2013 | 45 | |
| 5 | 2012 | 1 | |
| 6 | 2009 | 194 | |
| 7 | 2009 | 3 | |
| 8 | 2009 | 1 | |
| 9 | 2007 | 24 | |
| 10 | 2006 | 9 | |
| 11 | 2000 | 70 | |
| 12 | Tumor Marker Utility Grading System: a Framework to Evaluate Clinical Utility of Tumor Markersbreakdown → | 1996 | 553 |
| 13 | 1994 | 399 | |
| 14 | 1994 | 12 | |
| 15 | 1993 | 36 | |
| 16 | 1990 | 53 | |
| 17 | Evaluation of monoclonal antibody DF3 conjugated with ricin as a specific immunotoxin for in vitro purging of human bone marrow. | 1990 | 21 |
| 18 | Oligosaccharide differences in the DF3 sialomucin antigen from normal human milk and the BT-20 human breast carcinoma cell line. | 1989 | 100 |
| 19 | 1986 | 269 | |
| 20 | Invasive lobular carcinoma of the breast. | 1981 | 1 |
About D. F. Hayes
D. F. Hayes is a scholar working on Cancer Research, Oncology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Nutrition and Dietetics, having authored 20 papers that have together received 1.9k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (9 papers), Cancer Genomics and Diagnostics (5 papers), Lung Cancer Treatments and Mutations (4 papers), Glycosylation and Glycoproteins Research (3 papers), Advanced Breast Cancer Therapies (3 papers), Breast Lesions and Carcinomas (3 papers), Estrogen and related hormone effects (3 papers) and Infant Nutrition and Health (2 papers). The work is most often cited by research in Cancer Research (745 citations), Oncology (731 citations), Radiology, Nuclear Medicine and Imaging (435 citations), Pathology and Forensic Medicine (250 citations) and Molecular Biology (872 citations). D. F. Hayes has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include D Kufe, V R Zurawski, John P. Richie, Hiroyuki Watanabe, Judah Folkman, Mai Nguyen, Andrew E. Budson, Larry Norton, Christopher E. Desch and Robert C. Bast. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Cancer Research, JNCI Monographs, The Journal of Immunology and Hematology/Oncology Clinics of North America.
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.