Wayne Su
Impact in
- Psychiatry and Mental health top 5%
- Schizophrenia research and treatment
- Bipolar Disorder and Treatment
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
-
- Schizophrenia research and treatment 10
- Bipolar Disorder and Treatment 8
- Co-authors
- William G. Honer (28 shared papers)Donna J. Lang (23 shared papers)Peter J.H. Jones (3 shared papers)Lakshmi N. Yatham (8 shared papers)N F Boyd (1 shared paper)Raymond W. Lam (7 shared papers)Ivan J. Torres (7 shared papers)L. J. Martin (1 shared paper)
- Journals
- Schizophrenia Research (6 papers)Biological Psychiatry (2 papers)Journal of Psychiatric Research (2 papers)Journal of Clinical Oncology (2 papers)Bipolar Disorders (1 paper)
- Partner nations
- CanadaUnited StatesBrazil
In The Last Decade
Wayne Su
36 papers receiving 702 citations
Peers
Comparison fields: 5 of 79
- Psychiatry and Mental health 324
- Biological Psychiatry 51
- Cognitive Neuroscience 170
- Physiology 147
- Clinical Psychology 105
Countries citing papers authored by Wayne Su
This map shows the geographic impact of Wayne 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 Wayne Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne Su more than expected).
Fields of papers citing papers by Wayne Su
This network shows the impact of papers produced by Wayne 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 Wayne Su. The network helps show where Wayne Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Wayne 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 120 | |
| 2 | 2015 | 85 | |
| 3 | 2011 | 51 | |
| 4 | 2013 | 50 | |
| 5 | 2013 | 42 | |
| 6 | 2018 | 36 | |
| 7 | 2021 | 34 | |
| 8 | 1998 | 25 | |
| 9 | 2012 | 23 | |
| 10 | 2014 | 22 | |
| 11 | 2016 | 19 | |
| 12 | 2018 | 19 | |
| 13 | 2012 | 18 | |
| 14 | 2013 | 17 | |
| 15 | 2020 | 14 | |
| 16 | 2017 | 14 | |
| 17 | 2019 | 14 | |
| 18 | 2016 | 12 | |
| 19 | 2019 | 10 | |
| 20 | 2018 | 10 |
About Wayne Su
Wayne Su is a scholar working on Psychiatry and Mental health, Neurology, General Health Professions, Health and Pulmonary and Respiratory Medicine, having authored 37 papers that have together received 719 indexed citations. Recurring topics across this work include Schizophrenia research and treatment (10 papers), Bipolar Disorder and Treatment (8 papers), Homelessness and Social Issues (6 papers), Health disparities and outcomes (5 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Functional Brain Connectivity Studies (5 papers), Electrolyte and hormonal disorders (4 papers) and Tryptophan and brain disorders (3 papers). The work is most often cited by research in Psychiatry and Mental health (324 citations), Biological Psychiatry (51 citations), Cognitive Neuroscience (170 citations), Physiology (147 citations) and Clinical Psychology (105 citations). Wayne Su has collaborated with scholars based in Canada, United States and Brazil. Frequent co-authors include William G. Honer, Donna J. Lang, Peter J.H. Jones, Lakshmi N. Yatham, N F Boyd, Raymond W. Lam, Ivan J. Torres, L. J. Martin, G.R. Lockwood and David J. Bond. Their work appears in journals such as Schizophrenia Research, Biological Psychiatry, Journal of Psychiatric Research, Journal of Clinical Oncology and Bipolar Disorders.
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.