Shaun D. Maloney
- Pathology and Forensic Medicine top 1%
- Cancer Research top 2%
- Oncology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Dermatology top 1%
- Co-authors
- V. Shane PankratzCeline M. VachonThomas A. SellersKarthik GhoshRobert A. VierkantLynn C. HartmannMarlene H. FrostAmy C. Degnim
- Topics
- Breast Cancer Treatment Studies (11 papers)Breast Lesions and Carcinomas (7 papers)Global Cancer Incidence and Screening (5 papers)
- Journals
- New England Journal of MedicineJournal of Clinical OncologyJNCI Journal of the National Cancer Institute
- Partner nations
- United States
In The Last Decade
Shaun D. Maloney
16 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Pathology and Forensic Medicine 858
- Cancer Research 847
- Oncology 728
- Pulmonary and Respiratory Medicine 407
- Dermatology 363
Countries citing papers authored by Shaun D. Maloney
This map shows the geographic impact of Shaun D. Maloney'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 Shaun D. Maloney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaun D. Maloney more than expected).
Fields of papers citing papers by Shaun D. Maloney
This network shows the impact of papers produced by Shaun D. Maloney. 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 Shaun D. Maloney. The network helps show where Shaun D. Maloney may publish in the future.
Co-authorship network of co-authors of Shaun D. Maloney
This figure shows the co-authorship network connecting the top 25 collaborators of Shaun D. Maloney. A scholar is included among the top collaborators of Shaun D. Maloney 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 Shaun D. Maloney. Shaun D. Maloney 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 | 42 | |
| 3 | 46 | |
| 4 | 2 | |
| 5 | 49 | |
| 6 | 77 | |
| 7 | 45 | |
| 8 | 53 | |
| 9 | 164 | |
| 10 | 113 | |
| 11 | 183 | |
| 12 | 182 | |
| 13 | Assessment of the Gail model in a cohort of women with atypical hyperplasia. | 2 |
| 14 | 131 | |
| 15 | Benign Breast Disease and the Risk of Breast Cancerbreakdown → | 628 |
| 16 | 87 |
About Shaun D. Maloney
Shaun D. Maloney is a scholar working on Cancer Research, Dermatology and Pathology and Forensic Medicine, having authored 16 papers that have together received 1.8k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (11 papers), Breast Lesions and Carcinomas (7 papers) and Global Cancer Incidence and Screening (5 papers). The work is most often cited by research in Cancer Research (847 citations), Pathology and Forensic Medicine (858 citations) and Dermatology (363 citations). Shaun D. Maloney has collaborated with scholars based in United States. Frequent co-authors include V. Shane Pankratz, Celine M. Vachon, Thomas A. Sellers, Karthik Ghosh, Robert A. Vierkant, Lynn C. Hartmann, Marlene H. Frost, Amy C. Degnim, Daniel W. Visscher and L. Joseph Melton. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and JNCI Journal of the National Cancer Institute.
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.