Hisashi Noma
- Applied Psychology top 1%
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- Mental Health Research Topics 23
- Clinical Psychology top 2%
- Biological Psychiatry top 5%
- Psychiatry and Mental health top 2%
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- Statistical Methods in Clinical Trials 26
- Statistical Methods and Bayesian Inference 25
- Statistical Methods and Inference 18
- Advanced Causal Inference Techniques 13
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- Meta-analysis and systematic reviews 18
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- Air Quality and Health Impacts 15
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- Treatment of Major Depression 14
- Co-authors
- Toshi A. FurukawaPim CuijpersEirini KaryotakiAndrea CiprianiClara MiguelMarkéta ČihařováSoledad QueroHissei Imai
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Medicine (1 paper)SHILAP Revista de lepidopterología (3 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Hisashi Noma
178 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Applied Psychology 545
- Experimental and Cognitive Psychology 829
- Clinical Psychology 936
- Biological Psychiatry 99
- Psychiatry and Mental health 569
Countries citing papers authored by Hisashi Noma
This map shows the geographic impact of Hisashi Noma'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 Hisashi Noma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hisashi Noma more than expected).
Fields of papers citing papers by Hisashi Noma
This network shows the impact of papers produced by Hisashi Noma. 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 Hisashi Noma. The network helps show where Hisashi Noma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hisashi Noma, 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 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 12 | |
| 9 | 2024 | 19 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 2 | |
| 15 | 2022 | 0 | |
| 16 | The effects of psychotherapies for depression on response, remission, reliable change, and deterioration: A meta‐analysisbreakdown → | 2021 | 164 |
| 17 | 2021 | 28 | |
| 18 | 2020 | 7 | |
| 19 | 2020 | 3 | |
| 20 | 2018 | 44 |
About Hisashi Noma
Hisashi Noma is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Applied Psychology, having authored 196 papers that have together received 4.1k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (26 papers), Statistical Methods and Bayesian Inference (25 papers), Mental Health Research Topics (23 papers), Statistical Methods and Inference (18 papers), Meta-analysis and systematic reviews (18 papers), Air Quality and Health Impacts (15 papers), Treatment of Major Depression (14 papers) and Advanced Causal Inference Techniques (13 papers). The work is most often cited by research in Applied Psychology (545 citations), Experimental and Cognitive Psychology (829 citations) and Clinical Psychology (936 citations). Hisashi Noma has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Toshi A. Furukawa, Pim Cuijpers, Eirini Karyotaki, Andrea Cipriani, Clara Miguel, Markéta Čihařová, Soledad Quero, Hissei Imai, Christiaan H. Vinkers and Kiyomi Shinohara. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and SHILAP Revista de lepidopterología.
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.