Patricia A. Shaw
Impact in
- Reproductive Medicine top 0.5%
- Ovarian cancer diagnosis and treatment
- Obstetrics and Gynecology top 2%
- Endometrial and Cervical Cancer Treatments
Papers in
-
- Ovarian cancer diagnosis and treatment 23
- Genetics 12
- BRCA gene mutations in cancer 9
- Co-authors
- Barry P. Rosen (7 shared papers)Steven A. Narod (5 shared papers)Harvey A. Risch (4 shared papers)Isabel Fan (3 shared papers)Shiyu Zhang (2 shared papers)Linda Bradley (2 shared papers)Song Li (2 shared papers)Marcus Q. Bernardini (13 shared papers)
- Journals
- Gynecologic Oncology (6 papers)Clinical Cancer Research (5 papers)Journal of Clinical Oncology (5 papers)International Journal of Gynecological Pathology (3 papers)Modern Pathology (3 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Patricia A. Shaw
56 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 96
- Reproductive Medicine 1.1k
- Obstetrics and Gynecology 268
- Oncology 902
- Cancer Research 450
- Genetics 733
Countries citing papers authored by Patricia A. Shaw
This map shows the geographic impact of Patricia A. Shaw'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 Patricia A. Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricia A. Shaw more than expected).
Fields of papers citing papers by Patricia A. Shaw
This network shows the impact of papers produced by Patricia A. Shaw. 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 Patricia A. Shaw. The network helps show where Patricia A. Shaw may publish in the future.
Co-authors
The 25 scholars most cited alongside Patricia A. Shaw, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 499 | |
| 2 | 2011 | 299 | |
| 3 | 2011 | 166 | |
| 4 | 2009 | 146 | |
| 5 | 2017 | 144 | |
| 6 | 2016 | 128 | |
| 7 | 2008 | 118 | |
| 8 | 2012 | 117 | |
| 9 | 2012 | 109 | |
| 10 | 2002 | 87 | |
| 11 | 2018 | 86 | |
| 12 | 2017 | 74 | |
| 13 | 2011 | 69 | |
| 14 | 2018 | 67 | |
| 15 | 1999 | 65 | |
| 16 | 2019 | 62 | |
| 17 | 2018 | 56 | |
| 18 | 2018 | 48 | |
| 19 | 2010 | 48 | |
| 20 | 2016 | 47 |
About Patricia A. Shaw
Patricia A. Shaw is a scholar working on Reproductive Medicine, Genetics, Molecular Biology, Oncology and Immunology, having authored 57 papers that have together received 3.0k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (23 papers), BRCA gene mutations in cancer (9 papers), Immune Cell Function and Interaction (6 papers), Cancer Genomics and Diagnostics (5 papers), Chromatin Remodeling and Cancer (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Genetic factors in colorectal cancer (4 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Reproductive Medicine (1.1k citations), Obstetrics and Gynecology (268 citations), Oncology (902 citations), Cancer Research (450 citations) and Genetics (733 citations). Patricia A. Shaw has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Barry P. Rosen, Steven A. Narod, Harvey A. Risch, Isabel Fan, Shiyu Zhang, Linda Bradley, Song Li, Marcus Q. Bernardini, Heather Begley and Blaise Clarke. Their work appears in journals such as Gynecologic Oncology, Clinical Cancer Research, Journal of Clinical Oncology, International Journal of Gynecological Pathology and Modern Pathology.
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.