David J. Dabbs
Impact in
- Cancer Research top 0.2%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Oncology top 0.5%
- HER2/EGFR in Cancer Research
- Cancer Cells and Metastasis
Papers in
-
- Breast Cancer Treatment Studies 91
- Cancer Genomics and Diagnostics 13
-
- Breast Lesions and Carcinomas 65
- Co-authors
- Rohit BhargavaSushil BeriwalMamatha ChivukulaAdam BrufskyJoan M. StriebelKim R. GeisingerJan F. SilvermanRonald R. Johnson
- Journals
- American Journal of Clinical Pathology (28 papers)Modern Pathology (17 papers)Applied immunohistochemistry & molecular morphology (16 papers)Diagnostic Cytopathology (12 papers)Archives of Pathology & Laboratory Medicine (10 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
David J. Dabbs
201 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Cancer Research 3.2k
- Oncology 3.1k
- Pathology and Forensic Medicine 2.0k
- Dermatology 940
- Reproductive Medicine 407
Countries citing papers authored by David J. Dabbs
This map shows the geographic impact of David J. Dabbs'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 J. Dabbs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Dabbs more than expected).
Fields of papers citing papers by David J. Dabbs
This network shows the impact of papers produced by David J. Dabbs. 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 J. Dabbs. The network helps show where David J. Dabbs may publish in the future.
Co-authors
The 25 scholars most cited alongside David J. Dabbs, 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 | 2024 | 0 | |
| 2 | 2022 | 1 | |
| 3 | 2022 | 5 | |
| 4 | 2021 | 13 | |
| 5 | 2020 | 14 | |
| 6 | 2020 | 12 | |
| 7 | 2019 | 54 | |
| 8 | 2018 | 25 | |
| 9 | 2018 | 4 | |
| 10 | 2016 | 53 | |
| 11 | 2014 | 87 | |
| 12 | 2013 | 20 | |
| 13 | 2010 | 30 | |
| 14 | 2010 | 24 | |
| 15 | 2009 | 316 | |
| 16 | 2008 | 49 | |
| 17 | 2007 | 17 | |
| 18 | 2006 | 118 | |
| 19 | 2000 | 23 | |
| 20 | 1996 | 152 |
About David J. Dabbs
David J. Dabbs is a scholar working on Cancer Research, Pathology and Forensic Medicine, Dermatology, Oncology and Obstetrics and Gynecology, having authored 205 papers that have together received 7.9k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (91 papers), Breast Lesions and Carcinomas (65 papers), HER2/EGFR in Cancer Research (41 papers), Cancer and Skin Lesions (25 papers), Estrogen and related hormone effects (15 papers), Cancer Diagnosis and Treatment (14 papers), Cancer Cells and Metastasis (14 papers) and Cancer Genomics and Diagnostics (13 papers). The work is most often cited by research in Cancer Research (3.2k citations), Oncology (3.1k citations), Pathology and Forensic Medicine (2.0k citations), Dermatology (940 citations) and Reproductive Medicine (407 citations). David J. Dabbs has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Rohit Bhargava, Sushil Beriwal, Mamatha Chivukula, Adam Brufsky, Joan M. Striebel, Kim R. Geisinger, Jan F. Silverman, Ronald R. Johnson, Sunil Badve and Emad A. Rakha. Their work appears in journals such as American Journal of Clinical Pathology, Modern Pathology, Applied immunohistochemistry & molecular morphology, Diagnostic Cytopathology and Archives of Pathology & Laboratory Medicine.
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.