Lisa M. McShane
- Oncology top 0.05%
- Cancer Research top 0.02%
- Molecular Biology top 0.5%
- Pulmonary and Respiratory Medicine top 0.2%
- Radiology, Nuclear Medicine and Imaging top 0.1%
- Co-authors
- Sheila E. TaubeDouglas G. AltmanWilli SauerbreiMassimo GionGary M. ClarkDaniel F. HayesMitch DowsettAntonio C. Wolff
- Topics
- Cancer Genomics and Diagnostics (43 papers)Statistical Methods in Clinical Trials (39 papers)Gene expression and cancer classification (26 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Lisa M. McShane
172 papers receiving 27.6k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Oncology 12.7k
- Cancer Research 10.9k
- Molecular Biology 9.1k
- Pulmonary and Respiratory Medicine 5.1k
- Radiology, Nuclear Medicine and Imaging 4.5k
Countries citing papers authored by Lisa M. McShane
This map shows the geographic impact of Lisa M. McShane'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 Lisa M. McShane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa M. McShane more than expected).
Fields of papers citing papers by Lisa M. McShane
This network shows the impact of papers produced by Lisa M. McShane. 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 Lisa M. McShane. The network helps show where Lisa M. McShane may publish in the future.
Co-authorship network of co-authors of Lisa M. McShane
This figure shows the co-authorship network connecting the top 25 collaborators of Lisa M. McShane. A scholar is included among the top collaborators of Lisa M. McShane 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 Lisa M. McShane. Lisa M. McShane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 38 | |
| 8 | Human Epidermal Growth Factor Receptor 2 Testing in Breast Cancer: ASCO–College of American Pathologists Guideline Updatebreakdown → | 251 |
| 9 | 0 | |
| 10 | Criteria for the translation of radiomics into clinically useful testsbreakdown → | 127 |
| 11 | 42 | |
| 12 | 215 | |
| 13 | 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 |
| 14 | 122 | |
| 15 | 270 | |
| 16 | 61 | |
| 17 | 83 | |
| 18 | 4 | |
| 19 | 137 | |
| 20 | 24 |
About Lisa M. McShane
Lisa M. McShane is a scholar working on Statistics and Probability, Cancer Research and Statistics, Probability and Uncertainty, having authored 184 papers that have together received 28.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (43 papers), Statistical Methods in Clinical Trials (39 papers) and Gene expression and cancer classification (26 papers). The work is most often cited by research in Cancer Research (10.9k citations), Oncology (12.7k citations) and Radiology, Nuclear Medicine and Imaging (4.5k citations). Lisa M. McShane has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Sheila E. Taube, Douglas G. Altman, Willi Sauerbrei, Massimo Gion, Gary M. Clark, Daniel F. Hayes, Mitch Dowsett, Antonio C. Wolff, Kimberly H. Allison and Giuseppe Viale. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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.