Mei‐Hsin Su
Impact in
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- Tryptophan and brain disorders
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- Bipolar Disorder and Treatment
Papers in
- Genetics 14
- Genetic Associations and Epidemiology 13
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- Obesity, Physical Activity, Diet 4
- Co-authors
- Po‐Hsiu Kuo (8 shared papers)Chi‐Shin Wu (8 shared papers)Chia‐Yen Chen (11 shared papers)Po‐Chang Hsiao (8 shared papers)Shi‐Heng Wang (14 shared papers)Kuang Lin (8 shared papers)Yi‐Jiun Pan (8 shared papers)I‐Ming Chen (1 shared paper)
- Journals
- Journal of Affective Disorders (2 papers)Twin Research and Human Genetics (1 paper)Biological Psychiatry (1 paper)Journal of Psychiatric Research (1 paper)The Pharmacogenomics Journal (1 paper)
- Partner nations
- TaiwanUnited StatesNetherlands
In The Last Decade
Mei‐Hsin Su
15 papers receiving 151 citations
Peers
Comparison fields: 5 of 58
- Biological Psychiatry 11
- Psychiatry and Mental health 40
- Experimental and Cognitive Psychology 31
- Endocrine and Autonomic Systems 14
- Genetics 50
Countries citing papers authored by Mei‐Hsin Su
This map shows the geographic impact of Mei‐Hsin Su'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 Mei‐Hsin Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei‐Hsin Su more than expected).
Fields of papers citing papers by Mei‐Hsin Su
This network shows the impact of papers produced by Mei‐Hsin Su. 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 Mei‐Hsin Su. The network helps show where Mei‐Hsin Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Mei‐Hsin Su, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 31 | |
| 2 | 2017 | 30 | |
| 3 | 2018 | 22 | |
| 4 | 2022 | 17 | |
| 5 | 2022 | 15 | |
| 6 | 2022 | 13 | |
| 7 | 2020 | 9 | |
| 8 | 2022 | 6 | |
| 9 | 2023 | 3 | |
| 10 | 2024 | 3 | |
| 11 | 2015 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2025 | 0 |
About Mei‐Hsin Su
Mei‐Hsin Su is a scholar working on Genetics, Public Health, Environmental and Occupational Health, Psychiatry and Mental health, Clinical Psychology and Molecular Biology, having authored 21 papers that have together received 155 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (13 papers), Obesity, Physical Activity, Diet (4 papers), Bipolar Disorder and Treatment (3 papers), Epigenetics and DNA Methylation (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Psychosomatic Disorders and Their Treatments (2 papers), Suicide and Self-Harm Studies (2 papers) and Personality Disorders and Psychopathology (2 papers). The work is most often cited by research in Biological Psychiatry (11 citations), Psychiatry and Mental health (40 citations), Experimental and Cognitive Psychology (31 citations), Endocrine and Autonomic Systems (14 citations) and Genetics (50 citations). Mei‐Hsin Su has collaborated with scholars based in Taiwan, United States and Netherlands. Frequent co-authors include Po‐Hsiu Kuo, Chi‐Shin Wu, Chia‐Yen Chen, Po‐Chang Hsiao, Shi‐Heng Wang, Kuang Lin, Yi‐Jiun Pan, I‐Ming Chen, Jung Feng and Hsi‐Chung Chen. Their work appears in journals such as Journal of Affective Disorders, Twin Research and Human Genetics, Biological Psychiatry, Journal of Psychiatric Research and The Pharmacogenomics Journal.
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.