Katherine Dea
Impact in
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
- Hematology top 10%
- Chronic Myeloid Leukemia Treatments
Papers in
-
- Venous Thromboembolism Diagnosis and Management 5
- Co-authors
- Annie GuérinEric Q. WuPatrick LefèbvreFrançois LalibertéMelanie RolliKristijan H. KahlerMei Sheng DuhJashin J. Wu
- Journals
- Menopause The Journal of The North American Menopause Society (4 papers)Journal of Medical Economics (3 papers)SpringerPlus (1 paper)Journal of the American Academy of Dermatology (1 paper)Journal of Managed Care & Specialty Pharmacy (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Katherine Dea
19 papers receiving 488 citations
Peers
Comparison fields: 5 of 70
- Internal Medicine 73
- Hematology 97
- Genetics 73
- Family Practice 14
- Endocrinology, Diabetes and Metabolism 85
Countries citing papers authored by Katherine Dea
This map shows the geographic impact of Katherine Dea'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 Katherine Dea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine Dea more than expected).
Fields of papers citing papers by Katherine Dea
This network shows the impact of papers produced by Katherine Dea. 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 Katherine Dea. The network helps show where Katherine Dea may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Katherine Dea, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 14 | |
| 4 | 2019 | 7 | |
| 5 | 2019 | 18 | |
| 6 | 2018 | 22 | |
| 7 | Reimbursement landscape for molecular testing in non-small cell lung cancer (NSCLC). | 2018 | 4 |
| 8 | 2017 | 30 | |
| 9 | 2016 | 26 | |
| 10 | 2016 | 88 | |
| 11 | 2015 | 73 | |
| 12 | 2014 | 10 | |
| 13 | 2014 | 35 | |
| 14 | 2014 | 1 | |
| 15 | 2013 | 23 | |
| 16 | 2013 | 19 | |
| 17 | 2012 | 44 | |
| 18 | 2011 | 0 | |
| 19 | 2011 | 74 | |
| 20 | 2011 | 11 |
About Katherine Dea
Katherine Dea is a scholar working on Internal Medicine, Gastroenterology, Urology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 20 papers that have together received 502 indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (5 papers), Chronic Lymphocytic Leukemia Research (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Pelvic floor disorders treatments (3 papers), Atrial Fibrillation Management and Outcomes (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Menopause: Health Impacts and Treatments (3 papers) and Urinary Tract Infections Management (2 papers). The work is most often cited by research in Internal Medicine (73 citations), Hematology (97 citations), Genetics (73 citations), Family Practice (14 citations) and Endocrinology, Diabetes and Metabolism (85 citations). Katherine Dea has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Annie Guérin, Eric Q. Wu, Patrick Lefèbvre, François Laliberté, Melanie Rolli, Kristijan H. Kahler, Mei Sheng Duh, Jashin J. Wu, Murali Sundaram and Parvez Mulani. Their work appears in journals such as Menopause The Journal of The North American Menopause Society, Journal of Medical Economics, SpringerPlus, Journal of the American Academy of Dermatology and Journal of Managed Care & Specialty Pharmacy.
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.