Bryan Harmon
Impact in
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- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
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- Cancer Cells and Metastasis
- HER2/EGFR in Cancer Research
- Cancer-related Molecular Pathways
Papers in
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- Breast Cancer Treatment Studies 4
- Cancer Genomics and Diagnostics 2
- Cancer-related molecular mechanisms research 2
- Oncology 3
- Co-authors
- Meenakshi Singh (1 shared paper)Dileep R. Sule (1 shared paper)Susan Fineberg (3 shared papers)Hiram S. Cody (1 shared paper)Kimberly J. Van Zee (1 shared paper)Monica Morrow (1 shared paper)Emily C. Zabor (1 shared paper)Jana Fox (1 shared paper)
- Journals
- American Journal of Clinical Pathology (2 papers)Histopathology (1 paper)npj Genomic Medicine (1 paper)Genes Chromosomes and Cancer (1 paper)International Journal of Gynecological Cancer (1 paper)
- Partner nations
- United StatesItalyNetherlands
In The Last Decade
Bryan Harmon
14 papers receiving 223 citations
Peers
Comparison fields: 5 of 68
- Cancer Research 81
- Oncology 71
- Software 11
- Safety, Risk, Reliability and Quality 21
- Pathology and Forensic Medicine 17
Countries citing papers authored by Bryan Harmon
This map shows the geographic impact of Bryan Harmon'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 Bryan Harmon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Harmon more than expected).
Fields of papers citing papers by Bryan Harmon
This network shows the impact of papers produced by Bryan Harmon. 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 Bryan Harmon. The network helps show where Bryan Harmon may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan Harmon, 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 | 2014 | 146 | |
| 2 | 1979 | 27 | |
| 3 | 2019 | 17 | |
| 4 | 2020 | 7 | |
| 5 | 2020 | 5 | |
| 6 | 2019 | 5 | |
| 7 | 2018 | 5 | |
| 8 | 2024 | 3 | |
| 9 | 2019 | 2 | |
| 10 | 2022 | 2 | |
| 11 | 2019 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2014 | 1 | |
| 14 | 2012 | 1 |
About Bryan Harmon
Bryan Harmon is a scholar working on Cancer Research, Oncology, Epidemiology, Molecular Biology and Pathology and Forensic Medicine, having authored 14 papers that have together received 224 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (4 papers), Cancer Genomics and Diagnostics (2 papers), Cervical Cancer and HPV Research (2 papers), Cancer-related molecular mechanisms research (2 papers), Endometrial and Cervical Cancer Treatments (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper) and Breast Lesions and Carcinomas (1 paper). The work is most often cited by research in Cancer Research (81 citations), Oncology (71 citations), Software (11 citations), Safety, Risk, Reliability and Quality (21 citations) and Pathology and Forensic Medicine (17 citations). Bryan Harmon has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Meenakshi Singh, Dileep R. Sule, Susan Fineberg, Hiram S. Cody, Kimberly J. Van Zee, Monica Morrow, Emily C. Zabor, Jana Fox, Anne Van Arsdale and Koenraad Van Doorslaer. Their work appears in journals such as American Journal of Clinical Pathology, Histopathology, npj Genomic Medicine, Genes Chromosomes and Cancer and International Journal of Gynecological Cancer.
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.