Jun Matsubayashi

702 total citations
51 papers, 399 citations indexed

About

Jun Matsubayashi is a scholar working on Surgery, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Jun Matsubayashi has authored 51 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 10 papers in Cognitive Neuroscience and 9 papers in Molecular Biology. Recurrent topics in Jun Matsubayashi's work include Pancreatic and Hepatic Oncology Research (5 papers), Congenital Diaphragmatic Hernia Studies (4 papers) and Tracheal and airway disorders (3 papers). Jun Matsubayashi is often cited by papers focused on Pancreatic and Hepatic Oncology Research (5 papers), Congenital Diaphragmatic Hernia Studies (4 papers) and Tracheal and airway disorders (3 papers). Jun Matsubayashi collaborates with scholars based in Japan, United States and Germany. Jun Matsubayashi's co-authors include Hidenao Fukuyama, Akira Mitani, Takashi Nagamine, Kiyoshi Mukai, Tetsuya Takakuwa, Shigehito Yamada, Rei Enatsu, Masao Matsuhashi, Yasuhiro Hasegawa and Yasuo Ito and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and PLoS ONE.

In The Last Decade

Jun Matsubayashi

43 papers receiving 384 citations

Peers

Jun Matsubayashi
Comparison fields: 5 of 92
  • Cognitive Neuroscience 121
  • Surgery 99
  • Molecular Biology 59
  • Psychiatry and Mental health 53
  • Neurology 44
Replace John D. Gibbs with:
John D. Gibbs United Kingdom
Andrew J. Kobets United States
Stefanie Jansen Germany
Giovanna Squintani Italy
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Rohan Mahale India
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Subash Khushu India
Y S Cordoliani France
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Citations per field, relative to Jun Matsubayashi
Jun Matsubayashi · 1×
Citations per year, relative to Jun Matsubayashi
Jun Matsubayashi · 1×

Countries citing papers authored by Jun Matsubayashi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Matsubayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Matsubayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Matsubayashi. A scholar is included among the top collaborators of Jun Matsubayashi 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 Matsubayashi. Jun Matsubayashi 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 1
2 0
3 0
4 3
5 0
6 5
7 4
8 17
9 7
10 21
11 7
12 18
13 5
14 13
15 4
16 2
17 41
18 10
19 21
20 6

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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