Tina T. Lee
- Cardiology and Cardiovascular Medicine top 5%
- Clinical Psychology top 10%
- Economics and Econometrics top 10%
- General Health Professions top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Paul A. HeidenreichBarry M. MassieLeslie LenertCatherine A. SugarJosef I. RuzekJulie C. WeitlaufR SturmCathy D. Sherbourne
- Topics
- Posttraumatic Stress Disorder Research (3 papers)Health Systems, Economic Evaluations, Quality of Life (3 papers)Cerebrovascular and Carotid Artery Diseases (2 papers)
- Journals
- Annals of Internal MedicineJournal of the American College of CardiologyObstetrics and Gynecology
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Tina T. Lee
13 papers receiving 684 citations
Peers
Comparison fields: 5 of 93
- Cardiology and Cardiovascular Medicine 326
- Clinical Psychology 120
- Economics and Econometrics 103
- General Health Professions 94
- Pulmonary and Respiratory Medicine 86
Countries citing papers authored by Tina T. Lee
This map shows the geographic impact of Tina T. Lee'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 T. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tina T. Lee more than expected).
Fields of papers citing papers by Tina T. Lee
This network shows the impact of papers produced by Tina T. Lee. 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 T. Lee. The network helps show where Tina T. Lee may publish in the future.
Co-authorship network of co-authors of Tina T. Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Tina T. Lee. A scholar is included among the top collaborators of Tina T. Lee 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 Tina T. Lee. Tina T. Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 29 | |
| 3 | 8 | |
| 4 | 46 | |
| 5 | 54 | |
| 6 | 23 | |
| 7 | 48 | |
| 8 | 39 | |
| 9 | 2 | |
| 10 | Empirically defined health states for depression from the SF-12. | 74 |
| 11 | 280 | |
| 12 | 123 | |
| 13 | 2 |
About Tina T. Lee
Tina T. Lee is a scholar working on Developmental Neuroscience, Clinical Psychology and Psychiatry and Mental health, having authored 13 papers that have together received 731 indexed citations. Recurring topics across this work include Posttraumatic Stress Disorder Research (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (326 citations), Health (62 citations) and Neuropsychology and Physiological Psychology (11 citations). Tina T. Lee has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Paul A. Heidenreich, Barry M. Massie, Leslie Lenert, Catherine A. Sugar, Josef I. Ruzek, Julie C. Weitlauf, R Sturm, Cathy D. Sherbourne, Richard A. Olshen and Fred D. Gusman. Their work appears in journals such as Annals of Internal Medicine, Journal of the American College of Cardiology and Obstetrics and Gynecology.
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.