Kyoko Watanabe
- Genetics top 0.5%
- Molecular Biology top 5%
- Physiology top 10%
- Psychiatry and Mental health top 5%
- Cognitive Neuroscience top 5%
- Co-authors
- Daniëlle PosthumaErdogan TaskesenChristiaan de LeeuwSophie van der SluisSven StringerMaša Umićević MirkovTinca J. C. PoldermanOleksandr Frei
- Topics
- Genetic Associations and Epidemiology (10 papers)Bioinformatics and Genomic Networks (6 papers)Genetics and Neurodevelopmental Disorders (4 papers)
- Cited by
- GeneticsBiological PsychiatryAging
- Partner nations
- NetherlandsJapanUnited States
In The Last Decade
Kyoko Watanabe
32 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Genetics 1.9k
- Molecular Biology 1.3k
- Physiology 361
- Psychiatry and Mental health 333
- Cognitive Neuroscience 323
Countries citing papers authored by Kyoko Watanabe
This map shows the geographic impact of Kyoko Watanabe'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 Kyoko Watanabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyoko Watanabe more than expected).
Fields of papers citing papers by Kyoko Watanabe
This network shows the impact of papers produced by Kyoko Watanabe. 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 Kyoko Watanabe. The network helps show where Kyoko Watanabe may publish in the future.
Co-authorship network of co-authors of Kyoko Watanabe
This figure shows the co-authorship network connecting the top 25 collaborators of Kyoko Watanabe. A scholar is included among the top collaborators of Kyoko Watanabe 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 Kyoko Watanabe. Kyoko Watanabe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 24 | |
| 7 | 11 | |
| 8 | 77 | |
| 9 | 1 | |
| 10 | A global overview of pleiotropy and genetic architecture in complex traitsbreakdown → | 670 |
| 11 | 21 | |
| 12 | 94 | |
| 13 | 156 | |
| 14 | Meta-analysis of genome-wide association studies for neuroticism in 449,484 individuals identifies novel genetic loci and pathwaysbreakdown → | 405 |
| 15 | 53 | |
| 16 | 148 | |
| 17 | Functional mapping and annotation of genetic associations with FUMAbreakdown → | 1859 |
| 18 | 18 | |
| 19 | 28 | |
| 20 | 12 |
About Kyoko Watanabe
Kyoko Watanabe is a scholar working on Aging, Genetics and Clinical Psychology, having authored 34 papers that have together received 3.9k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (10 papers), Bioinformatics and Genomic Networks (6 papers) and Genetics and Neurodevelopmental Disorders (4 papers). The work is most often cited by research in Genetics (1.9k citations), Biological Psychiatry (154 citations) and Aging (41 citations). Kyoko Watanabe has collaborated with scholars based in Netherlands, Japan and United States. Frequent co-authors include Daniëlle Posthuma, Erdogan Taskesen, Christiaan de Leeuw, Sophie van der Sluis, Sven Stringer, Maša Umićević Mirkov, Tinca J. C. Polderman, Oleksandr Frei, Ole A. Andreassen and Benjamin M. Neale. Their work appears in journals such as Nature Communications, Nature Genetics and Annals of Neurology.
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.