Jun Matsumoto

1.6k total citations
128 papers, 1.1k citations indexed

About

Jun Matsumoto is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jun Matsumoto has authored 128 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Pulmonary and Respiratory Medicine, 32 papers in Surgery and 15 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jun Matsumoto's work include Tracheal and airway disorders (10 papers), Myasthenia Gravis and Thymoma (9 papers) and Lung Cancer Diagnosis and Treatment (8 papers). Jun Matsumoto is often cited by papers focused on Tracheal and airway disorders (10 papers), Myasthenia Gravis and Thymoma (9 papers) and Lung Cancer Diagnosis and Treatment (8 papers). Jun Matsumoto collaborates with scholars based in Japan, United States and Taiwan. Jun Matsumoto's co-authors include Kunitada Shimotohno, Takayuki Ohshima, Toshirou TAGAWA, Masaru Murata, Kazuhisa Bessho, Nobuaki Tanaka, Jun Nakajima, Shinichi Takamoto, Masahiro Yanagiya and Takeshi Fukami and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Oncogene.

In The Last Decade

Jun Matsumoto

117 papers receiving 1.1k citations

Peers

Jun Matsumoto
Comparison fields: 5 of 115
  • Molecular Biology 207
  • Surgery 191
  • Immunology 181
  • Pulmonary and Respiratory Medicine 169
  • Epidemiology 147
Replace Miki Sato with:
Miki Sato Japan
Fan Shen China
Xuan Huang China
Jiahui Yu China
Narendra Kumar Sharma India
Hiroki Ishikawa Japan
Lili Xu China
Shinichiro Kato Japan
Miki Sato Japan View profile →
Citations per field, relative to Jun Matsumoto
Jun Matsumoto · 1×
Citations per year, relative to Jun Matsumoto
Jun Matsumoto · 1×

Countries citing papers authored by Jun Matsumoto

Since Specialization
Citations

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

Fields of papers citing papers by Jun Matsumoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Matsumoto

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Matsumoto. A scholar is included among the top collaborators of Jun 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 Jun Matsumoto. Jun 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 4
2 4
3 2
4 1
5 9
6 3
7 3
8 6
9 4
10
Proposal of the Photonic Programmable Node Architecture using Virtual Reconfigurable Communication Processors
3
11 2
12 25
13 1
14 1
15 1
16 0
17
Low preheparin serum lipoprotein lipase mass is an independent risk factor for acute myocardial infarction
2
18 3
19 1
20
The convulsive mechanism of phenol derivatives.
7

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026