Xin Tu
- Clinical Psychology top 0.2%
- Suicide and Self-Harm Studies 22
- Health top 0.5%
- Health disparities and outcomes 28
- Statistics and Probability top 0.2%
- Statistical Methods and Bayesian Inference 45
- Statistical Methods and Inference 34
- Statistical Methods in Clinical Trials 26
- Advanced Causal Inference Techniques 19
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- Mental Health Treatment and Access 23
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- Dementia and Cognitive Impairment Research 21
- Co-authors
- Changyong FengWan TangYeates ConwellDilip V. JesteNaiji LuEllen LeeJeanne KowalskiVictor De Gruttola
- Cited by
- Neuropsychology and Physiological PsychologyClinical PsychologyExperimental and Cognitive Psychology
- Journals
- Statistics in Medicine (23 papers)American Journal of Geriatric Psychiatry (12 papers)General Psychiatry (12 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Xin Tu
325 papers receiving 13.0k citations
Hit Papers
Peers
Comparison fields: 5 of 216
- Neuropsychology and Physiological Psychology 394
- Clinical Psychology 3.8k
- Experimental and Cognitive Psychology 2.0k
- Health 1.2k
- Statistics and Probability 1.0k
Countries citing papers authored by Xin Tu
This map shows the geographic impact of Xin Tu'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 Xin Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Tu more than expected).
Fields of papers citing papers by Xin Tu
This network shows the impact of papers produced by Xin Tu. 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 Xin Tu. The network helps show where Xin Tu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xin Tu, 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 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 14 | |
| 11 | 2022 | 4 | |
| 12 | 2021 | 4 | |
| 13 | 2020 | 22 | |
| 14 | 2020 | 1 | |
| 15 | 2020 | 6 | |
| 16 | 2020 | 24 | |
| 17 | 2019 | 14 | |
| 18 | 2019 | 22 | |
| 19 | 2011 | 26 | |
| 20 | A new catheter-related quality of life instrument for long-term urinary catheter users | 2009 | 1 |
About Xin Tu
Xin Tu is a scholar working on Neuropsychology and Physiological Psychology, Statistics and Probability, Health, Biological Psychiatry and Clinical Psychology, having authored 334 papers that have together received 13.5k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (45 papers), Statistical Methods and Inference (34 papers), Health disparities and outcomes (28 papers), Statistical Methods in Clinical Trials (26 papers), Mental Health Treatment and Access (23 papers), Suicide and Self-Harm Studies (22 papers), Dementia and Cognitive Impairment Research (21 papers) and Advanced Causal Inference Techniques (19 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (394 citations), Clinical Psychology (3.8k citations), Experimental and Cognitive Psychology (2.0k citations), Health (1.2k citations) and Statistics and Probability (1.0k citations). Xin Tu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Changyong Feng, Wan Tang, Yeates Conwell, Dilip V. Jeste, Naiji Lu, Ellen Lee, Jeanne Kowalski, Victor De Gruttola, Michael L. Perlis and Jeffrey M. Lyness. Their work appears in journals such as Statistics in Medicine, American Journal of Geriatric Psychiatry, General Psychiatry, Journal of the American Statistical Association and The Journal of Clinical 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.