Jun Egawa

75 total papers · 1.1k total citations
44 papers, 353 citations indexed

About

Jun Egawa is a scholar working on Cognitive Neuroscience, Genetics and Clinical Psychology. According to data from OpenAlex, Jun Egawa has authored 44 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 18 papers in Genetics and 9 papers in Clinical Psychology. Recurrent topics in Jun Egawa's work include Autism Spectrum Disorder Research (16 papers), Genetics and Neurodevelopmental Disorders (12 papers) and Maternal Mental Health During Pregnancy and Postpartum (8 papers). Jun Egawa is often cited by papers focused on Autism Spectrum Disorder Research (16 papers), Genetics and Neurodevelopmental Disorders (12 papers) and Maternal Mental Health During Pregnancy and Postpartum (8 papers). Jun Egawa collaborates with scholars based in Japan, Indonesia and United States. Jun Egawa's co-authors include Toshiyuki Someya, Yuichiro Watanabe, Ayako Nunokawa, Naoshi Kaneko, Takuro Sugai, Naoki Fukui, Takayuki Enomoto, Kazuto Kobayashi, Yuji Nagai and Isao Hasegawa and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Jun Egawa

37 papers receiving 348 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jun Egawa 116 93 80 73 70 44 353
Dick Schijven 198 1.7× 83 0.9× 48 0.6× 53 0.7× 54 0.8× 25 387
Maria Gudbrandsen 177 1.5× 72 0.8× 31 0.4× 53 0.7× 78 1.1× 24 344
Katri Kantojärvi 122 1.1× 116 1.2× 28 0.3× 34 0.5× 101 1.4× 32 334
Rachel K. Earl 198 1.7× 130 1.4× 30 0.4× 36 0.5× 99 1.4× 16 366
J. Neulen 120 1.0× 47 0.5× 61 0.8× 52 0.7× 24 0.3× 16 323
Masutomo Miyao 137 1.2× 51 0.5× 51 0.6× 13 0.2× 40 0.6× 27 345
Annakarina Mundorf 219 1.9× 55 0.6× 81 1.0× 19 0.3× 34 0.5× 37 387
Guobin Wan 234 2.0× 76 0.8× 25 0.3× 15 0.2× 81 1.2× 24 400
Stephanie Brown 105 0.9× 55 0.6× 27 0.3× 29 0.4× 40 0.6× 21 333
Elizabeth Cox 87 0.8× 27 0.3× 121 1.5× 89 1.2× 40 0.6× 18 369

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-authorship network of co-authors of Jun Egawa

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Egawa. A scholar is included among the top collaborators of Jun Egawa 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 Jun Egawa. Jun Egawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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