Tammy Jiang
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Clinical Psychology top 5%
- Suicide and Self-Harm Studies
- Posttraumatic Stress Disorder Research
Papers in
-
- Suicide and Self-Harm Studies 17
- Posttraumatic Stress Disorder Research 8
- Resilience and Mental Health 4
- Migration, Health and Trauma 3
- Co-authors
- Jaimie L. GradusAnthony J. RoselliniTimothy L. LashHenrik Toft SørensenKatherine M. KeyesErzsébet Horváth–PuhóAmy E. StreetGonzalo Martínez‐Alés
- Journals
- American Journal of Epidemiology (4 papers)Epidemiology (3 papers)The British Journal of Psychiatry (3 papers)Psychological Trauma Theory Research Practice and Policy (2 papers)CNS Drugs (1 paper)
- Partner nations
- United StatesDenmarkSwitzerland
In The Last Decade
Tammy Jiang
35 papers receiving 875 citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Health Informatics 39
- Clinical Psychology 283
- Health Information Management 45
- Social Psychology 146
- Health 55
Countries citing papers authored by Tammy Jiang
This map shows the geographic impact of Tammy Jiang'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 Tammy Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tammy Jiang more than expected).
Fields of papers citing papers by Tammy Jiang
This network shows the impact of papers produced by Tammy Jiang. 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 Tammy Jiang. The network helps show where Tammy Jiang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tammy Jiang, 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 | 2024 | 4 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 8 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 3 | |
| 9 | 2021 | 12 | |
| 10 | 2021 | 18 | |
| 11 | 2021 | 10 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 11 | |
| 14 | 2021 | 19 | |
| 15 | Supervised Machine Learning: A Brief Primer Hit paper breakdown → | 2020 | 463 |
| 16 | 2020 | 2 | |
| 17 | 2019 | 9 | |
| 18 | 2019 | 3 | |
| 19 | 2018 | 6 | |
| 20 | 2017 | 19 |
About Tammy Jiang
Tammy Jiang is a scholar working on Clinical Psychology, Behavioral Neuroscience, Health, Social Psychology and Biological Psychiatry, having authored 36 papers that have together received 909 indexed citations. Recurring topics across this work include Suicide and Self-Harm Studies (17 papers), Mental Health Treatment and Access (9 papers), Posttraumatic Stress Disorder Research (8 papers), Resilience and Mental Health (4 papers), Traumatic Brain Injury Research (3 papers), Migration, Health and Trauma (3 papers), Health, psychology, and well-being (3 papers) and Health disparities and outcomes (3 papers). The work is most often cited by research in Health Informatics (39 citations), Clinical Psychology (283 citations), Health Information Management (45 citations), Social Psychology (146 citations) and Health (55 citations). Tammy Jiang has collaborated with scholars based in United States, Denmark and Switzerland. Frequent co-authors include Jaimie L. Gradus, Anthony J. Rosellini, Timothy L. Lash, Henrik Toft Sørensen, Katherine M. Keyes, Erzsébet Horváth–Puhó, Amy E. Street, Gonzalo Martínez‐Alés, Isaac R. Galatzer‐Levy and Dóra Körmendiné Farkas. Their work appears in journals such as American Journal of Epidemiology, Epidemiology, The British Journal of Psychiatry, Psychological Trauma Theory Research Practice and Policy and CNS Drugs.
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.