Jun Egawa
Impact in
- Cognitive Neuroscience top 10%
- Autism Spectrum Disorder Research
Papers in
-
- Autism Spectrum Disorder Research 16
- Genetics 18
- Genetics and Neurodevelopmental Disorders 12
- Genomic variations and chromosomal abnormalities 8
- Genetic Associations and Epidemiology 6
- Genomics and Rare Diseases 5
- Co-authors
- Toshiyuki Someya (37 shared papers)Yuichiro Watanabe (28 shared papers)Ayako Nunokawa (14 shared papers)Takuro Sugai (9 shared papers)Naoshi Kaneko (8 shared papers)Takayuki Enomoto (7 shared papers)Naoki Fukui (10 shared papers)Kazuto Kobayashi (1 shared paper)
In The Last Decade
Jun Egawa
37 papers receiving 356 citations
Peers
Comparison fields: 5 of 66
- Biological Psychiatry 21
- Cognitive Neuroscience 117
- Social Psychology 81
- Psychiatry and Mental health 52
- Clinical Psychology 70
Countries citing papers authored by Jun Egawa
This map shows the geographic impact of Jun Egawa'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 Jun Egawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Egawa more than expected).
Fields of papers citing papers by Jun Egawa
This network shows the impact of papers produced by Jun Egawa. 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 Jun Egawa. The network helps show where Jun Egawa may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Egawa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 69 | |
| 2 | 2020 | 33 | |
| 3 | 2020 | 24 | |
| 4 | 2013 | 19 | |
| 5 | 2021 | 18 | |
| 6 | 2012 | 13 | |
| 7 | 2013 | 13 | |
| 8 | 2016 | 12 | |
| 9 | 2015 | 12 | |
| 10 | 2023 | 11 | |
| 11 | 2021 | 11 | |
| 12 | 2021 | 11 | |
| 13 | 2013 | 10 | |
| 14 | 2015 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2013 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2014 | 8 | |
| 19 | 2015 | 7 | |
| 20 | 2015 | 7 |
About Jun Egawa
Jun Egawa is a scholar working on Cognitive Neuroscience, Genetics, Clinical Psychology, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 44 papers that have together received 361 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (16 papers), Genetics and Neurodevelopmental Disorders (12 papers), Maternal Mental Health During Pregnancy and Postpartum (8 papers), Genomic variations and chromosomal abnormalities (8 papers), Child and Adolescent Psychosocial and Emotional Development (7 papers), Attention Deficit Hyperactivity Disorder (6 papers), Genetic Associations and Epidemiology (6 papers) and Genomics and Rare Diseases (5 papers). The work is most often cited by research in Biological Psychiatry (21 citations), Cognitive Neuroscience (117 citations), Social Psychology (81 citations), Psychiatry and Mental health (52 citations) and Clinical Psychology (70 citations). Jun Egawa has collaborated with scholars based in Japan, Indonesia and Armenia. Frequent co-authors include Toshiyuki Someya, Yuichiro Watanabe, Ayako Nunokawa, Takuro Sugai, Naoshi Kaneko, Takayuki Enomoto, Naoki Fukui, Kazuto Kobayashi, Yuji Nagai and Keisuke Kawasaki. Their work appears in journals such as Psychiatry and Clinical Neurosciences, Frontiers in Psychiatry, Psychiatry Research, Scientific Reports and BMC 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.