Daniel W. Visscher
Impact in
- Cancer Research top 0.2%
- Breast Cancer Treatment Studies
- Pathology and Forensic Medicine top 0.2%
- Breast Lesions and Carcinomas
Papers in
- Cancer Research 118
- Breast Cancer Treatment Studies 84
- Cancer Genomics and Diagnostics 34
-
- Breast Lesions and Carcinomas 80
- Co-authors
- Lynn C. HartmannAmy C. DegnimMarlene H. FrostRobert A. VierkantJohn D. CrissmanWilma L. LingleVera J. SumanJames N. Ingle
- Journals
- Breast Cancer Research and Treatment (30 papers)Journal of Clinical Oncology (15 papers)Cancer (15 papers)Cancer Research (8 papers)Human Pathology (7 papers)
- Partner nations
- United StatesAustraliaNetherlands
In The Last Decade
Daniel W. Visscher
227 papers receiving 10.7k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Cancer Research 4.3k
- Pathology and Forensic Medicine 3.2k
- Oncology 4.7k
- Dermatology 1.3k
- Immunology and Allergy 676
Countries citing papers authored by Daniel W. Visscher
This map shows the geographic impact of Daniel W. Visscher'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 W. Visscher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel W. Visscher more than expected).
Fields of papers citing papers by Daniel W. Visscher
This network shows the impact of papers produced by Daniel W. Visscher. 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 W. Visscher. The network helps show where Daniel W. Visscher may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel W. Visscher, 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 | 2021 | 17 | |
| 2 | 2020 | 12 | |
| 3 | 2020 | 9 | |
| 4 | 2020 | 4 | |
| 5 | 2020 | 18 | |
| 6 | 2017 | 46 | |
| 7 | 2015 | 13 | |
| 8 | 2015 | 29 | |
| 9 | 2014 | 18 | |
| 10 | 2014 | 67 | |
| 11 | 2013 | 141 | |
| 12 | 2012 | 28 | |
| 13 | 2011 | 23 | |
| 14 | 2009 | 77 | |
| 15 | 2007 | 27 | |
| 16 | 1996 | 41 | |
| 17 | Clinicopathologic significance of p53 immunostaining in adenocarcinoma of the breast. | 1993 | 14 |
| 18 | Correlation of DNA ploidy with c-erbB-2 expression in preinvasive and invasive breast tumors. | 1991 | 15 |
| 19 | 1991 | 17 | |
| 20 | Multiparametric deoxyribonucleic acid and cell cycle analysis of breast carcinomas by flow cytometry. Clinicopathologic correlations. | 1990 | 49 |
About Daniel W. Visscher
Daniel W. Visscher is a scholar working on Cancer Research, Pathology and Forensic Medicine, Dermatology, Oncology and Immunology and Allergy, having authored 228 papers that have together received 11.0k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (84 papers), Breast Lesions and Carcinomas (80 papers), Cancer Genomics and Diagnostics (34 papers), Cancer and Skin Lesions (31 papers), Cancer Cells and Metastasis (22 papers), HER2/EGFR in Cancer Research (20 papers), Salivary Gland Tumors Diagnosis and Treatment (17 papers) and AI in cancer detection (14 papers). The work is most often cited by research in Cancer Research (4.3k citations), Pathology and Forensic Medicine (3.2k citations), Oncology (4.7k citations), Dermatology (1.3k citations) and Immunology and Allergy (676 citations). Daniel W. Visscher has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Lynn C. Hartmann, Amy C. Degnim, Marlene H. Frost, Robert A. Vierkant, John D. Crissman, Wilma L. Lingle, Vera J. Suman, James N. Ingle, F. H. Sarkar and V. Shane Pankratz. Their work appears in journals such as Breast Cancer Research and Treatment, Journal of Clinical Oncology, Cancer, Cancer Research and Human Pathology.
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.