Bryan T. Hennessy
Impact in
- Cancer Research top 0.1%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Oncology top 0.1%
- HER2/EGFR in Cancer Research
- PARP inhibition in cancer therapy
- Cancer Cells and Metastasis
Papers in
- Oncology 118
- HER2/EGFR in Cancer Research 41
- Cancer Treatment and Pharmacology 15
-
- Breast Cancer Treatment Studies 26
- Cancer Genomics and Diagnostics 15
- Co-authors
- Gordon Brent Mills (61 shared papers)Ana Maria Gonzalez-Angulo (24 shared papers)Yiling Lu (19 shared papers)Gabriel N. Hortobágyi (15 shared papers)Robert C. Bast (4 shared papers)Debra L. Smith (2 shared papers)Prahlad T. Ram (1 shared paper)W. Fraser Symmans (4 shared papers)
- Journals
- Annals of Oncology (15 papers)Clinical Cancer Research (11 papers)Journal of Clinical Oncology (9 papers)Breast Cancer Research and Treatment (9 papers)BMC Cancer (7 papers)
- Partner nations
- IrelandUnited StatesUnited Kingdom
In The Last Decade
Bryan T. Hennessy
277 papers receiving 25.6k citations
Bryan T. Hennessy's Hit Papers
Peers
Comparison fields: 5 of 172
- Cancer Research 7.0k
- Oncology 9.7k
- Reproductive Medicine 1.4k
- Pathology and Forensic Medicine 2.8k
- Molecular Biology 11.2k
Countries citing papers authored by Bryan T. Hennessy
This map shows the geographic impact of Bryan T. Hennessy'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 T. Hennessy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan T. Hennessy more than expected).
Fields of papers citing papers by Bryan T. Hennessy
This network shows the impact of papers produced by Bryan T. Hennessy. 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 T. Hennessy. The network helps show where Bryan T. Hennessy may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan T. Hennessy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 284 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Response to Neoadjuvant Therapy and Long-Term Survival in Patients With Triple-Negative Breast Cancer Hit paper breakdown → | 2008 | 2387 |
| 2 | Exploiting the PI3K/AKT Pathway for Cancer Drug Discovery Hit paper breakdown → | 2005 | 1862 |
| 3 | A Functional Genetic Approach Identifies the PI3K Pathway as a Major Determinant of Trastuzumab Resistance in Breast Cancer Hit paper breakdown → | 2007 | 1370 |
| 4 | Measurement of Residual Breast Cancer Burden to Predict Survival After Neoadjuvant Chemotherapy Hit paper breakdown → | 2007 | 1306 |
| 5 | The biology of ovarian cancer: new opportunities for translation Hit paper breakdown → | 2009 | 1130 |
| 6 | An Integrative Genomic and Proteomic Analysis of PIK3CA, PTEN, and AKT Mutations in Breast Cancer Hit paper breakdown → | 2008 | 906 |
| 7 | Homologous Recombination Deficiency (HRD) Score Predicts Response to Platinum-Containing Neoadjuvant Chemotherapy in Patients with Triple-Negative Breast Cancer Hit paper breakdown → | 2016 | 837 |
| 8 | The energy sensing LKB1–AMPK pathway regulates p27kip1 phosphorylation mediating the decision to enter autophagy or apoptosis Hit paper breakdown → | 2007 | 751 |
| 9 | Characterization of a Naturally Occurring Breast Cancer Subset Enriched in Epithelial-to-Mesenchymal Transition and Stem Cell Characteristics Hit paper breakdown → | 2009 | 714 |
| 10 | Patterns of genomic loss of heterozygosity predict homologous recombination repair defects in epithelial ovarian cancer Hit paper breakdown → | 2012 | 620 |
| 11 | 2006 | 565 | |
| 12 | Ovarian cancer Hit paper breakdown → | 2009 | 541 |
| 13 | Incidence and Outcome of BRCA Mutations in Unselected Patients with Triple Receptor-Negative Breast Cancer Hit paper breakdown → | 2011 | 469 |
| 14 | 2010 | 462 | |
| 15 | 2011 | 405 | |
| 16 | 2011 | 379 | |
| 17 | 2011 | 372 | |
| 18 | Critical research gaps and translational priorities for the successful prevention and treatment of breast cancer Hit paper breakdown → | 2013 | 351 |
| 19 | 2005 | 349 | |
| 20 | 2010 | 324 |
About Bryan T. Hennessy
Bryan T. Hennessy is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Molecular Biology and Genetics, having authored 284 papers that have together received 26.2k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (41 papers), Breast Cancer Treatment Studies (26 papers), PI3K/AKT/mTOR signaling in cancer (23 papers), Monoclonal and Polyclonal Antibodies Research (18 papers), Cancer Treatment and Pharmacology (15 papers), Cancer Genomics and Diagnostics (15 papers), Chronic Lymphocytic Leukemia Research (13 papers) and Lung Cancer Treatments and Mutations (13 papers). The work is most often cited by research in Cancer Research (7.0k citations), Oncology (9.7k citations), Reproductive Medicine (1.4k citations), Pathology and Forensic Medicine (2.8k citations) and Molecular Biology (11.2k citations). Bryan T. Hennessy has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Gordon Brent Mills, Ana Maria Gonzalez-Angulo, Yiling Lu, Gabriel N. Hortobágyi, Robert C. Bast, Debra L. Smith, Prahlad T. Ram, W. Fraser Symmans, Lajos Pusztai and Marjorie Green. Their work appears in journals such as Annals of Oncology, Clinical Cancer Research, Journal of Clinical Oncology, Breast Cancer Research and Treatment and BMC 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.