Su‐Ting Hsu

31 papers receiving 365 citations

Peers

Su‐Ting Hsu
Comparison fields: 5 of 76
  • Biological Psychiatry 24
  • Psychiatry and Mental health 101
  • Clinical Psychology 110
  • Behavioral Neuroscience 11
  • Social Psychology 44
Replace Marlene Rosen with:
Marlene Rosen Germany
Hannah E. Jongsma United Kingdom
Phyllis H. Y. Lo Hong Kong
Vlado Jukić Croatia
Tayyeba Kiran United Kingdom
Julia Ambrosetti Switzerland
Alma Džubur Kulenović Bosnia and Herzegovina
Mohammad Reza Fayyazı Bordbar Iran
Antoni Novotni North Macedonia
Gemma McKeon Australia
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Citations per year

Countries citing papers authored by Su‐Ting Hsu

Since Specialization
Citations

This map shows the geographic impact of Su‐Ting Hsu'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 Su‐Ting Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su‐Ting Hsu more than expected).

Fields of papers citing papers by Su‐Ting Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su‐Ting Hsu. 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 Su‐Ting Hsu. The network helps show where Su‐Ting Hsu may publish in the future.

Co-authors

The 25 scholars most cited alongside Su‐Ting Hsu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Su‐Ting Hsu Line = papers co-authored together Su‐Ting Hsu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Comparing the use of the Taiwanese Depression Questionnaire and Beck Depression Inventory for screening depression in patients with chronic pain.
200840
2 201630
3 201128
4 201627
5 201721
6 200619
7 201618
8 202018
9 201717
10 201716
11 202015
12 201615
13 201213
14 201511
15 202111
16 201810
17 20239
18 20218
19 20218
20 20127

About Su‐Ting Hsu

Su‐Ting Hsu is a scholar working on Clinical Psychology, General Health Professions, Psychiatry and Mental health, Social Psychology and Biological Psychiatry, having authored 35 papers that have together received 376 indexed citations. Recurring topics across this work include COVID-19 and Mental Health (9 papers), Schizophrenia research and treatment (6 papers), Tryptophan and brain disorders (4 papers), Mental Health and Patient Involvement (3 papers), HIV, Drug Use, Sexual Risk (3 papers), Diet and metabolism studies (2 papers), HIV/AIDS Research and Interventions (2 papers) and Psychosomatic Disorders and Their Treatments (2 papers). The work is most often cited by research in Biological Psychiatry (24 citations), Psychiatry and Mental health (101 citations), Clinical Psychology (110 citations), Behavioral Neuroscience (11 citations) and Social Psychology (44 citations). Su‐Ting Hsu has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Pao‐Yen Lin, Chi‐Fa Hung, Liang‐Jen Wang, Yu Lee, Yu‐Chi Huang, Li-Yu Song, Mian‐Yoon Chong, Chih‐Ching Wu, Nai‐Ying Ko and Lin‐Cheng Yang. Their work appears in journals such as International Journal of Environmental Research and Public Health, Psychoneuroendocrinology, Asia-Pacific Psychiatry, The Journal of Nervous and Mental Disease and Frontiers in Psychiatry.

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.

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