Raphael Nishimura
Impact in
- Clinical Psychology top 10%
- COVID-19 and Mental Health
- Suicide and Self-Harm Studies
- Social Psychology top 10%
- Mental Health Treatment and Access
Papers in
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- Survey Sampling and Estimation Techniques 2
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- Youth, Drugs, and Violence 2
- Co-authors
- Yuan‐Pang Wang (1 shared paper)James Christopher Anthony (1 shared paper)Maria Carmem Viana (1 shared paper)Clóvis Alexandrino-Silva (1 shared paper)Camila Magalhães Silveira (1 shared paper)Erica Rosanna Siu (1 shared paper)Laura Helena Andrade (1 shared paper)Ronald C. Kessler (1 shared paper)
- Journals
- Journal of the American College of Cardiology (2 papers)International Statistical Review (1 paper)Journal of Survey Statistics and Methodology (1 paper)Revista de Saúde Pública (1 paper)Journal of the American Geriatrics Society (1 paper)
- Partner nations
- United StatesBrazilSaudi Arabia
In The Last Decade
Raphael Nishimura
12 papers receiving 488 citations
Peers
Comparison fields: 5 of 81
- Clinical Psychology 143
- Social Psychology 100
- Health 22
- Biological Psychiatry 3
- Demography 26
Countries citing papers authored by Raphael Nishimura
This map shows the geographic impact of Raphael Nishimura'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 Raphael Nishimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphael Nishimura more than expected).
Fields of papers citing papers by Raphael Nishimura
This network shows the impact of papers produced by Raphael Nishimura. 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 Raphael Nishimura. The network helps show where Raphael Nishimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphael Nishimura, 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 | 2012 | 278 | |
| 2 | 2021 | 69 | |
| 3 | 2012 | 64 | |
| 4 | 2015 | 34 | |
| 5 | 2012 | 25 | |
| 6 | 2020 | 22 | |
| 7 | 2009 | 9 | |
| 8 | 2009 | 5 | |
| 9 | 2022 | 5 | |
| 10 | 2026 | 2 | |
| 11 | Drug use in college students: a 13-year trend Uso de drogas entre alunos universitários: tendências em 13 anos | 2012 | 1 |
| 12 | 2025 | 1 | |
| 13 | 2026 | 0 | |
| 14 | 2026 | 0 |
About Raphael Nishimura
Raphael Nishimura is a scholar working on Statistics and Probability, Demography, Cardiology and Cardiovascular Medicine, Epidemiology and Health Informatics, having authored 14 papers that have together received 515 indexed citations. Recurring topics across this work include Survey Methodology and Nonresponse (4 papers), Substance Abuse Treatment and Outcomes (3 papers), Survey Sampling and Estimation Techniques (2 papers), Youth, Drugs, and Violence (2 papers), Smoking Behavior and Cessation (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Dementia and Cognitive Impairment Research (1 paper) and Decision-Making and Behavioral Economics (1 paper). The work is most often cited by research in Clinical Psychology (143 citations), Social Psychology (100 citations), Health (22 citations), Biological Psychiatry (3 citations) and Demography (26 citations). Raphael Nishimura has collaborated with scholars based in United States, Brazil and Saudi Arabia. Frequent co-authors include Yuan‐Pang Wang, James Christopher Anthony, Maria Carmem Viana, Clóvis Alexandrino-Silva, Camila Magalhães Silveira, Erica Rosanna Siu, Laura Helena Andrade, Ronald C. Kessler, Wagner F. Gattaz and Solange Andreoni. Their work appears in journals such as Journal of the American College of Cardiology, International Statistical Review, Journal of Survey Statistics and Methodology, Revista de Saúde Pública and Journal of the American Geriatrics Society.
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.