Jun Matsushima

788 citations
41 papers · 493 indexed · h-index 15
Topics
Tryptophan and brain disorders (5 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)Transcranial Magnetic Stimulation Studies (4 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsThe Journal of Urology
Partner nations
JapanUnited States

In The Last Decade

Jun Matsushima

38 papers receiving 486 citations

Peers

Jun Matsushima
Comparison fields: 5 of 75
  • Pulmonary and Respiratory Medicine 161
  • Molecular Biology 148
  • Biochemistry 68
  • Neurology 62
  • Physiology 59
Replace Rachel E. Weitzman with:
Rachel E. Weitzman United States
Marie‐Thérèse Walsh Ireland
Peter K. Moon United States
Yangyang Feng China
Andrey Finegersh United States
Xiang Cai China
Sophie Lenoir France
Guanxi Qiao United States
Marek Kaciński Poland
Breanne D.W. Karanikolas United States
Jun Matsushima relative to Rachel E. Weitzman United States Rachel E. Weitzman's profile →
Citations per field
00.5×3.3×
Rachel E. Weitzman · 1×
Citations per year

Countries citing papers authored by Jun Matsushima

Since Specialization
Citations

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

Fields of papers citing papers by Jun Matsushima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Matsushima

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

All Works

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About Jun Matsushima

Jun Matsushima is a scholar working on Biological Psychiatry, Neurology and Neuropsychology and Physiological Psychology, having authored 41 papers that have together received 493 indexed citations. Recurring topics across this work include Tryptophan and brain disorders (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Transcranial Magnetic Stimulation Studies (4 papers). The work is most often cited by research in Biological Psychiatry (40 citations), Biochemistry (68 citations) and Behavioral Neuroscience (32 citations). Jun Matsushima has collaborated with scholars based in Japan and United States. Frequent co-authors include Yukio Nakatani, Yoshito Mizoguchi, Akira Monji, Yoshiomi Imamura, Tomohiko Ichikawa, Shinichi Sakamoto, Toshiro Kawashima, Shigeto Yamada, Hiromi Nabeta and Naoki Kojima. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and The Journal of Urology.

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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