Kimberly H. Allison
- Oncology top 0.1%
- Cancer Research top 0.1%
- Radiology, Nuclear Medicine and Imaging top 0.2%
- Molecular Biology top 2%
- Pathology and Forensic Medicine top 0.2%
- Co-authors
- Mitch DowsettLisa M. McShaneAntonio C. WolffGiuseppe VialePatrick L. FitzgibbonsPatricia A. SpearsM. Elizabeth HammondPamela B. Mangu
- Topics
- Breast Cancer Treatment Studies (47 papers)Breast Lesions and Carcinomas (33 papers)HER2/EGFR in Cancer Research (27 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Kimberly H. Allison
111 papers receiving 13.5k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Oncology 7.6k
- Cancer Research 5.7k
- Radiology, Nuclear Medicine and Imaging 3.5k
- Molecular Biology 2.6k
- Pathology and Forensic Medicine 2.6k
Countries citing papers authored by Kimberly H. Allison
This map shows the geographic impact of Kimberly H. Allison'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 Kimberly H. Allison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimberly H. Allison more than expected).
Fields of papers citing papers by Kimberly H. Allison
This network shows the impact of papers produced by Kimberly H. Allison. 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 Kimberly H. Allison. The network helps show where Kimberly H. Allison may publish in the future.
Co-authorship network of co-authors of Kimberly H. Allison
This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly H. Allison. A scholar is included among the top collaborators of Kimberly H. Allison based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kimberly H. Allison. Kimberly H. Allison is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | Human Epidermal Growth Factor Receptor 2 Testing in Breast Cancer: ASCO–College of American Pathologists Guideline Updatebreakdown → | 251 |
| 5 | 62 | |
| 6 | 19 | |
| 7 | 215 | |
| 8 | Human Epidermal Growth Factor Receptor 2 Testing in Breast Cancer: American Society of Clinical Oncology/College of American Pathologists Clinical Practice Guideline Focused Updatebreakdown → | 1545 |
| 9 | 4 | |
| 10 | 59 | |
| 11 | 11 | |
| 12 | 68 | |
| 13 | 1 | |
| 14 | 15 | |
| 15 | 28 | |
| 16 | 24 | |
| 17 | 43 | |
| 18 | 142 | |
| 19 | 2 | |
| 20 | 37 |
About Kimberly H. Allison
Kimberly H. Allison is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 114 papers that have together received 13.7k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (47 papers), Breast Lesions and Carcinomas (33 papers) and HER2/EGFR in Cancer Research (27 papers). The work is most often cited by research in Cancer Research (5.7k citations), Oncology (7.6k citations) and Radiology, Nuclear Medicine and Imaging (3.5k citations). Kimberly H. Allison has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Mitch Dowsett, Lisa M. McShane, Antonio C. Wolff, Giuseppe Viale, Patrick L. Fitzgibbons, Patricia A. Spears, M. Elizabeth Hammond, Pamela B. Mangu, John M.S. Bartlett and Michael Bilous. Their work appears in journals such as JAMA, Nature Materials and Journal of Clinical Oncology.
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.