Jun Matsushima

47 total papers · 778 total citations
41 papers, 487 citations indexed

About

Jun Matsushima is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Jun Matsushima has authored 41 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pulmonary and Respiratory Medicine, 8 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Jun Matsushima's work include Tryptophan and brain disorders (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Transcranial Magnetic Stimulation Studies (4 papers). Jun Matsushima is often cited by papers focused on Tryptophan and brain disorders (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Transcranial Magnetic Stimulation Studies (4 papers). Jun Matsushima collaborates with scholars based in Japan and United States. Jun Matsushima's co-authors include Yoshito Mizoguchi, Yukio Nakatani, Akira Monji, Yoshiomi Imamura, Tomohiko Ichikawa, Shigeto Yamada, Shinichi Sakamoto, Toshiro Kawashima, Naoki Kojima and Hiromi Nabeta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and The Journal of Urology.

In The Last Decade

Jun Matsushima

37 papers receiving 479 citations

Author Peers

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

Author						Papers	Cites
Jun Matsushima	160	146	67	62	59	41	487
Wenjun Meng	49 0.3×	94 0.6×	43 0.6×	35 0.6×	171 2.9×	45	490
Silvia Vanni	149 0.9×	210 1.4×	19 0.3×	82 1.3×	104 1.8×	33	530
Anna Domènech	72 0.5×	177 1.2×	12 0.2×	16 0.3×	39 0.7×	22	541
Paula Warren	104 0.7×	121 0.8×	38 0.6×	23 0.4×	7 0.1×	18	482
Jinsong Jiao	37 0.2×	162 1.1×	18 0.3×	26 0.4×	31 0.5×	30	455
Victoria Wykes	36 0.2×	128 0.9×	13 0.2×	37 0.6×	129 2.2×	25	443
M Okamoto	103 0.6×	137 0.9×	15 0.2×	57 0.9×	63 1.1×	32	539
Saran Jonas	30 0.2×	83 0.6×	11 0.2×	61 1.0×	41 0.7×	24	550
Long Li	148 0.9×	113 0.8×	7 0.1×	77 1.2×	21 0.4×	41	444
Olga Bragina	34 0.2×	105 0.7×	9 0.1×	94 1.5×	63 1.1×	35	431

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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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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