Tina Seto
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
Papers in
- Oncology 6
-
- Breast Cancer Treatment Studies 4
- Cancer Genomics and Diagnostics 4
- Co-authors
- Tina Hernandez‐Boussard (14 shared papers)James D. Brooks (8 shared papers)Douglas W. Blayney (10 shared papers)Allison W. Kurian (12 shared papers)Martin Seneviratne (3 shared papers)Manisha Desai (7 shared papers)Amar K. Das (6 shared papers)Scarlett Lin Gomez (7 shared papers)
- Journals
- Journal of Clinical Oncology (5 papers)Journal of the American Medical Informatics Association (3 papers)Cancer (2 papers)Clinical Cancer Research (1 paper)Pain Medicine (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Tina Seto
23 papers receiving 428 citations
Peers
Comparison fields: 5 of 76
- Health Informatics 44
- Health Information Management 34
- Oncology 170
- Cancer Research 76
- Anesthesiology and Pain Medicine 17
Countries citing papers authored by Tina Seto
This map shows the geographic impact of Tina Seto'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 Tina Seto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tina Seto more than expected).
Fields of papers citing papers by Tina Seto
This network shows the impact of papers produced by Tina Seto. 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 Tina Seto. The network helps show where Tina Seto may publish in the future.
Co-authors
The 25 scholars most cited alongside Tina Seto, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 67 | |
| 2 | 2013 | 47 | |
| 3 | 2020 | 44 | |
| 4 | 2019 | 34 | |
| 5 | 2018 | 31 | |
| 6 | Oncoshare: lessons learned from building an integrated multi-institutional database for comparative effectiveness research. | 2012 | 27 |
| 7 | 2018 | 24 | |
| 8 | 2019 | 24 | |
| 9 | 2018 | 23 | |
| 10 | Mining Electronic Health Records to Extract Patient-Centered Outcomes Following Prostate Cancer Treatment. | 2017 | 21 |
| 11 | 2015 | 19 | |
| 12 | 2019 | 12 | |
| 13 | 2016 | 11 | |
| 14 | 2021 | 10 | |
| 15 | 2015 | 10 | |
| 16 | 2016 | 8 | |
| 17 | 2025 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2017 | 3 |
About Tina Seto
Tina Seto is a scholar working on Oncology, Cancer Research, Molecular Biology, Artificial Intelligence and Public Health, Environmental and Occupational Health, having authored 26 papers that have together received 435 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (5 papers), Breast Cancer Treatment Studies (4 papers), Prostate Cancer Diagnosis and Treatment (4 papers), Cancer Genomics and Diagnostics (4 papers), Machine Learning in Healthcare (4 papers), Clinical practice guidelines implementation (3 papers), Economic and Financial Impacts of Cancer (3 papers) and BRCA gene mutations in cancer (3 papers). The work is most often cited by research in Health Informatics (44 citations), Health Information Management (34 citations), Oncology (170 citations), Cancer Research (76 citations) and Anesthesiology and Pain Medicine (17 citations). Tina Seto has collaborated with scholars based in United States and India. Frequent co-authors include Tina Hernandez‐Boussard, James D. Brooks, Douglas W. Blayney, Allison W. Kurian, Martin Seneviratne, Manisha Desai, Amar K. Das, Scarlett Lin Gomez, Kevin Li and Kathryn M McDonald. Their work appears in journals such as Journal of Clinical Oncology, Journal of the American Medical Informatics Association, Cancer, Clinical Cancer Research and Pain Medicine.
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.