Yu Hayasaka
- Pharmacology top 0.5%
- Experimental and Cognitive Psychology top 1%
- Psychiatry and Mental health top 1%
- Biological Psychiatry top 0.5%
- Cognitive Neuroscience top 5%
- Co-authors
- Nozomi TakeshimaToshi A. FurukawaYusuke OgawaAran TajikaAndrea CiprianiStefan LeuchtLauren AtkinsonGeorgia Salanti
- Topics
- Treatment of Major Depression (14 papers)Mental Health Research Topics (8 papers)Meta-analysis and systematic reviews (6 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Yu Hayasaka
25 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Pharmacology 1.3k
- Experimental and Cognitive Psychology 851
- Psychiatry and Mental health 832
- Biological Psychiatry 734
- Cognitive Neuroscience 498
Countries citing papers authored by Yu Hayasaka
This map shows the geographic impact of Yu Hayasaka'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 Yu Hayasaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Hayasaka more than expected).
Fields of papers citing papers by Yu Hayasaka
This network shows the impact of papers produced by Yu Hayasaka. 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 Yu Hayasaka. The network helps show where Yu Hayasaka may publish in the future.
Co-authorship network of co-authors of Yu Hayasaka
This figure shows the co-authorship network connecting the top 25 collaborators of Yu Hayasaka. A scholar is included among the top collaborators of Yu Hayasaka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yu Hayasaka. Yu Hayasaka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 12 | |
| 3 | 30 | |
| 4 | 6 | |
| 5 | 74 | |
| 6 | 28 | |
| 7 | Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: a systematic review and network meta-analysisbreakdown → | 2064 |
| 8 | 12 | |
| 9 | 149 | |
| 10 | 7 | |
| 11 | 47 | |
| 12 | 144 | |
| 13 | 41 | |
| 14 | 282 | |
| 15 | 4 | |
| 16 | 7 | |
| 17 | 35 | |
| 18 | 297 | |
| 19 | 2 | |
| 20 | 15 |
About Yu Hayasaka
Yu Hayasaka is a scholar working on Biological Psychiatry, Experimental and Cognitive Psychology and Statistics, Probability and Uncertainty, having authored 25 papers that have together received 3.5k indexed citations. Recurring topics across this work include Treatment of Major Depression (14 papers), Mental Health Research Topics (8 papers) and Meta-analysis and systematic reviews (6 papers). The work is most often cited by research in Biological Psychiatry (734 citations), Pharmacology (1.3k citations) and Experimental and Cognitive Psychology (851 citations). Yu Hayasaka has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Nozomi Takeshima, Toshi A. Furukawa, Yusuke Ogawa, Aran Tajika, Andrea Cipriani, Stefan Leucht, Lauren Atkinson, Georgia Salanti, Anna Chaimani and Hissei Imai. Their work appears in journals such as The Lancet, PLoS ONE and Cochrane Database of Systematic Reviews.
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.