Jun Matsukawa

24 total papers · 1.2k total citations
17 papers, 978 citations indexed

About

Jun Matsukawa is a scholar working on Surgery, Gastroenterology and Molecular Biology. According to data from OpenAlex, Jun Matsukawa has authored 17 papers receiving a total of 978 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 12 papers in Gastroenterology and 7 papers in Molecular Biology. Recurrent topics in Jun Matsukawa's work include Helicobacter pylori-related gastroenterology studies (11 papers), Gastroesophageal reflux and treatments (11 papers) and Ion Transport and Channel Regulation (4 papers). Jun Matsukawa is often cited by papers focused on Helicobacter pylori-related gastroenterology studies (11 papers), Gastroesophageal reflux and treatments (11 papers) and Ion Transport and Channel Regulation (4 papers). Jun Matsukawa collaborates with scholars based in Japan, United States and Germany. Jun Matsukawa's co-authors include Nobuhiro Inatomi, Haruyuki Nishida, Yasunobu Hori, Masahiro Kajino, Toshiyuki Takeuchi, Akio Imanishi, Keizo Hirase, Yasuyoshi Arikawa, Kazuyoshi Otake and Yuuichi Sakurai and has published in prestigious journals such as Journal of Biological Chemistry, Gastroenterology and Biochemical and Biophysical Research Communications.

In The Last Decade

Jun Matsukawa

16 papers receiving 953 citations

Author Peers

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

Author Last Decade Papers Cites
Jun Matsukawa 513 457 308 205 99 17 978
Carin Briving 285 0.6× 235 0.5× 511 1.7× 77 0.4× 94 0.9× 16 949
Yohannes T. Ghebremariam 314 0.6× 304 0.7× 265 0.9× 198 1.0× 29 0.3× 22 1.0k
Ireneusz Piastucki 722 1.4× 198 0.4× 248 0.8× 128 0.6× 23 0.2× 20 1.2k
Hideaki Nagaya 319 0.6× 234 0.5× 220 0.7× 58 0.3× 56 0.6× 29 818
Henrik Westergaard 371 0.7× 187 0.4× 270 0.9× 65 0.3× 18 0.2× 32 1.1k
B J Starkey 470 0.9× 71 0.2× 310 1.0× 78 0.4× 38 0.4× 30 910
Patricia A. Szczepanik 438 0.9× 54 0.1× 209 0.7× 227 1.1× 50 0.5× 27 1.2k
Marie Besancon 394 0.8× 331 0.7× 442 1.4× 89 0.4× 48 0.5× 17 810
Masahiro Asakage 222 0.4× 106 0.2× 293 1.0× 238 1.2× 31 0.3× 25 957
Colin A. Leach 419 0.8× 62 0.1× 414 1.3× 45 0.2× 211 2.1× 32 1.1k

Countries citing papers authored by Jun Matsukawa

Since Specialization
Citations

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

Fields of papers citing papers by Jun Matsukawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Matsukawa

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Matsukawa. A scholar is included among the top collaborators of Jun Matsukawa 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 Matsukawa. Jun Matsukawa 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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