Jun Egawa

1.1k citations
44 papers · 361 · h-index 12

Impact in

Papers in

    • Autism Spectrum Disorder Research 16
    • Genetics and Neurodevelopmental Disorders 12
    • Genomic variations and chromosomal abnormalities 8
    • Genetic Associations and Epidemiology 6
    • Genomics and Rare Diseases 5

Jun Egawa

37 papers receiving 356 citations

Peers

Jun Egawa
Comparison fields: 5 of 66
  • Biological Psychiatry 21
  • Cognitive Neuroscience 117
  • Social Psychology 81
  • Psychiatry and Mental health 52
  • Clinical Psychology 70
Replace Katri Kantojärvi with:
Katri Kantojärvi Finland
Giuseppe Doneddu Italy
Yuan-Chun Ding United States
Giuseppina Rametti Spain
Carolina Cappi Brazil
D.M. Hougaard Denmark
Dorte Helenius Denmark
Michela Zanette Italy
Róbert Herold Hungary
Linzy Hill United Kingdom
Jun Egawa relative to Katri Kantojärvi Finland Katri Kantojärvi's profile →
Citations per field
00.5×2.9×
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 202069
2 202033
3 202024
4 201319
5 202118
6 201213
7 201313
8 201612
9 201512
10 202311
11 202111
12 202111
13 201310
14 201510
15 20219
16 20138
17 20218
18 20148
19 20157
20 20157

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.

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