Junya Matsumoto

1.8k total citations
70 papers, 670 citations indexed

About

Junya Matsumoto is a scholar working on Psychiatry and Mental health, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Junya Matsumoto has authored 70 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Psychiatry and Mental health, 17 papers in Molecular Biology and 16 papers in Cognitive Neuroscience. Recurrent topics in Junya Matsumoto's work include Schizophrenia research and treatment (15 papers), Functional Brain Connectivity Studies (10 papers) and Neuroscience and Neuropharmacology Research (7 papers). Junya Matsumoto is often cited by papers focused on Schizophrenia research and treatment (15 papers), Functional Brain Connectivity Studies (10 papers) and Neuroscience and Neuropharmacology Research (7 papers). Junya Matsumoto collaborates with scholars based in Japan, United States and Hong Kong. Junya Matsumoto's co-authors include Hiroshi Yokota, Akira Yuasa, Yasuto Kunii, Hirooki Yabe, Akira Wada, Ryota Hashimoto, Shin‐ichi Niwa, Mizuki Hino, Kenichiro Miura and Yoshio Hashizume and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Biochemical Journal.

In The Last Decade

Junya Matsumoto

63 papers receiving 658 citations

Peers

Junya Matsumoto
Comparison fields: 5 of 101
  • Molecular Biology 173
  • Health, Toxicology and Mutagenesis 145
  • Psychiatry and Mental health 114
  • Cognitive Neuroscience 113
  • Genetics 78
Replace Nobuhiro Sugiyama with:
Nobuhiro Sugiyama Japan
Jack F.V. Hunt United States
Margaret Daniele Fallin United States
Laura Scott South Africa
V.M. Miller United States
Yue Shan China
Keerthi Thirtamara Rajamani United States
Guiqin Zhang China
Jude Gibson United Kingdom
Rhiannon V. McNeill Germany
Nobuhiro Sugiyama Japan View profile →
Citations per field, relative to Junya Matsumoto
Junya Matsumoto · 1×
Citations per year, relative to Junya Matsumoto
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Countries citing papers authored by Junya Matsumoto

Since Specialization
Citations

This map shows the geographic impact of Junya Matsumoto'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 Junya Matsumoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junya Matsumoto more than expected).

Fields of papers citing papers by Junya Matsumoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Junya Matsumoto. 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 Junya Matsumoto. The network helps show where Junya Matsumoto may publish in the future.

Co-authorship network of co-authors of Junya Matsumoto

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 3
4 2
5 1
6 1
7 4
8 25
9 13
10 40
11 6
12 13
13 9
14 16
15 18
16 5
17 12
18
[Metastatic sternal tumor from thyroid papillary carcinoma; report of a case].
2
19 7
20 108

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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