Seema A. Khan
- Cancer Research top 0.2%
- Oncology top 1%
- Pathology and Forensic Medicine top 0.5%
- Surgery top 2%
- Molecular Biology top 5%
- Co-authors
- Monica MorrowMariana Chávez‐MacGregorJanet K. HortonNehmat HoussamiGary M. FreedmanArmando E. GiulianoJay R. HarrisSuzanne Klimberg
- Topics
- Breast Cancer Treatment Studies (96 papers)Estrogen and related hormone effects (42 papers)Breast Lesions and Carcinomas (40 papers)
- Partner nations
- United StatesAustraliaSwitzerland
In The Last Decade
Seema A. Khan
219 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Cancer Research 3.2k
- Oncology 2.5k
- Pathology and Forensic Medicine 1.7k
- Surgery 1.6k
- Molecular Biology 1.4k
Countries citing papers authored by Seema A. Khan
This map shows the geographic impact of Seema A. Khan'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 Seema A. Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seema A. Khan more than expected).
Fields of papers citing papers by Seema A. Khan
This network shows the impact of papers produced by Seema A. Khan. 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 Seema A. Khan. The network helps show where Seema A. Khan may publish in the future.
Co-authorship network of co-authors of Seema A. Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Seema A. Khan. A scholar is included among the top collaborators of Seema A. Khan 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 Seema A. Khan. Seema A. Khan 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 | 5 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | Neoadjuvant Chemotherapy, Endocrine Therapy, and Targeted Therapy for Breast Cancer: ASCO Guidelinebreakdown → | 592 |
| 8 | 19 | |
| 9 | 117 | |
| 10 | 4 | |
| 11 | 28 | |
| 12 | 7 | |
| 13 | 285 | |
| 14 | 126 | |
| 15 | 1 | |
| 16 | 8 | |
| 17 | 46 | |
| 18 | 54 | |
| 19 | 12 | |
| 20 | A new breast cancer marker (BCM) in monitoring disease status | 2 |
About Seema A. Khan
Seema A. Khan is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 229 papers that have together received 7.3k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (96 papers), Estrogen and related hormone effects (42 papers) and Breast Lesions and Carcinomas (40 papers). The work is most often cited by research in Cancer Research (3.2k citations), Pathology and Forensic Medicine (1.7k citations) and Oncology (2.5k citations). Seema A. Khan has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Monica Morrow, Mariana Chávez‐MacGregor, Janet K. Horton, Nehmat Houssami, Gary M. Freedman, Armando E. Giuliano, Jay R. Harris, Suzanne Klimberg, Meena S. Moran and Stuart J. Schnitt. Their work appears in journals such as The Lancet, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.