Jun Egawa

1.2k citations
44 papers · 385 · h-index 12

Impact in

Papers in

    • Autism Spectrum Disorder Research 13
    • Genetics and Neurodevelopmental Disorders 6
    • Genomic variations and chromosomal abnormalities 6
    • Genetic Associations and Epidemiology 5
    • Genomics and Rare Diseases 4

Jun Egawa

39 papers receiving 380 citations

Peers

Jun Egawa
Comparison fields: 5 of 67
  • Biological Psychiatry 21
  • Cognitive Neuroscience 119
  • Psychiatry and Mental health 50
  • Genetics 85
  • Social Psychology 65
Replace Katri Kantojärvi with:
Katri Kantojärvi Finland
Giuseppe Doneddu Italy
Sasja N. Duijff Netherlands
Stuart Leask United Kingdom
Maria Gudbrandsen United Kingdom
Róbert Herold Hungary
Yuan-Chun Ding United States
Emma L. Hawkins United Kingdom
Tarang Khare Canada
Dorte Helenius Denmark
Jun Egawa relative to Katri Kantojärvi Finland Katri Kantojärvi's profile →
Citations per field
00.5×2.6×
Katri Kantojärvi · 1×
Citations per year

Countries citing papers authored by Jun Egawa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jun Egawa Line = papers co-authored together Jun Egawa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202073
2 202033
3 202025
4 201320
5 202118
6 201314
7 202313
8 201213
9 201513
10 202112
11 201612
12 201511
13 202111
14 201310
15 201310
16 20219
17 20148
18 20218
19 20177
20 20157

About Jun Egawa

Jun Egawa is a scholar working on Cognitive Neuroscience, Genetics, Public Health, Environmental and Occupational Health, Molecular Biology and Psychiatry and Mental health, having authored 44 papers that have together received 385 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (13 papers), Maternal Mental Health During Pregnancy and Postpartum (8 papers), Genetics and Neurodevelopmental Disorders (6 papers), Genomic variations and chromosomal abnormalities (6 papers), Attention Deficit Hyperactivity Disorder (6 papers), Genetic Associations and Epidemiology (5 papers), Genomics and Rare Diseases (4 papers) and Child and Adolescent Psychosocial and Emotional Development (3 papers). The work is most often cited by research in Biological Psychiatry (21 citations), Cognitive Neuroscience (119 citations), Psychiatry and Mental health (50 citations), Genetics (85 citations) and Social Psychology (65 citations). Jun Egawa has collaborated with scholars based in Japan, Indonesia and United States. Frequent co-authors include Toshiyuki Someya, Yuichiro Watanabe, Ayako Nunokawa, Naoshi Kaneko, Takuro Sugai, Naoki Fukui, Takayuki Enomoto, Isao Hasegawa, Kazuto Kobayashi and Takafumi Minamimoto. Their work appears in journals such as Psychiatry and Clinical Neurosciences, Frontiers in Psychiatry, Psychiatry Research, Schizophrenia Research 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.

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