Jun Matsuzawa

463 total citations
11 papers, 378 citations indexed

About

Jun Matsuzawa is a scholar working on Surgery, Genetics and Immunology. According to data from OpenAlex, Jun Matsuzawa has authored 11 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Genetics and 3 papers in Immunology. Recurrent topics in Jun Matsuzawa's work include Inflammatory Bowel Disease (3 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Microscopic Colitis (2 papers). Jun Matsuzawa is often cited by papers focused on Inflammatory Bowel Disease (3 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Microscopic Colitis (2 papers). Jun Matsuzawa collaborates with scholars based in Japan. Jun Matsuzawa's co-authors include Kazuhito Sugimura, Hitoshi Asakura, Takafumi Ichida, Yasunobu Matsuda, Hidesaku Asakura, Teruki Honma, Yohei Katsuyama, Shoji Seki, T Mochizuki and Masao Ôta and has published in prestigious journals such as Gastroenterology, Gut and The American Journal of Gastroenterology.

In The Last Decade

Jun Matsuzawa

11 papers receiving 371 citations

Peers

Jun Matsuzawa

MB

IMMUN

GENET

ONCOL

EPIDE

Birgit Teichmann Germany

D Breborowicz Poland

Hongzan Ji China

Valeria Mazzi Italy

Zhu Zhang China

Carole Charlot France

Cornelia Thoeni Canada

Thomas S. DeNapoli United States

Elena Alfani Italy

Kuniharu Akita Japan

Birgit Teichmann Germany

Jun Matsuzawa

104 ×0.7

MB

77 ×0.8

IMMUN

105 ×1.1

GENET

147 ×1.5

ONCOL

31 ×0.5

EPIDE

Citations per year, relative to Jun Matsuzawa Jun Matsuzawa (= 1×) peers Birgit Teichmann

Countries citing papers authored by Jun Matsuzawa

Since Specialization

Citations

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

Fields of papers citing papers by Jun Matsuzawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Matsuzawa

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

All Works

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11 of 11 papers shown

1.

Tominaga, Kentaro, Atsunori Tsuchiya, Yasutoshi Kuroki, et al.. (2021). Increase in muscle mass associated with the prebiotic effects of 1-kestose in super-elderly patients with sarcopenia. Bioscience of Microbiota Food and Health. 40(3). 150–155. 23 indexed citations

2.

Matsuzawa, Jun. (2013). Multiple Sampling from the Central Veins with their Tributaries can Detect Bilateral Hyperaldosteronism with a Cortisol-Producing Adenoma in a Hypertensive Patient. 5(2). 2 indexed citations

3.

Honma, Terasu, Kazuhito Sugimura, Hitoshi Asakura, et al.. (2005). Leukocytapheresis Is Effective in Inducing But Not in Maintaining Remission in Ulcerative Colitis. Journal of Clinical Gastroenterology. 39(10). 886–890. 15 indexed citations

4.

Matsuzawa, Jun. (2002). Association between K469E allele of intercellular adhesion molecule 1 gene and inflammatory bowel disease in a Japanese population. Gut. 52(1). 75–78. 54 indexed citations

5.

Ishikawa, T., S. Sato, Jun Matsuzawa, et al.. (2001). [A case of successful management of nonresectable pancreas cancer with liver metastasis by intra-arterial infusion chemotherapy with angiotensin-II and administration of tegafur/uracil].. PubMed. 28(4). 521–5. 2 indexed citations

6.

Sugimura, Kazuhito, et al.. (2001). Influence of Interleukin-10 on the Interleukin-1 Receptor Antagonist/Interleukin-1β Ratio in the Colonic Mucosa of Ulcerative Colitis. Digestion. 63(Suppl. 1). 22–27. 29 indexed citations

7.

Ôta, Masao, Jun Matsuzawa, Yohei Katsuyama, et al.. (2001). A close relationship of triplet repeat polymorphism in MHC class I chain‐related gene A (MICA) to the disease susceptibility and behavior in ulcerative colitis. Tissue Antigens. 57(1). 9–14. 38 indexed citations

8.

Seki, Shoji, Masao Ôta, Jun Matsuzawa, et al.. (2001). Stratification analysis of MICA triplet repeat polymorphisms and HLA antigens associated with ulcerative colitis in Japanese. Tissue Antigens. 58(2). 71–76. 35 indexed citations

9.

Matsuzawa, Jun, et al.. (2001). External chest compression for the treatment of a mechanically ventilated child with status asthmaticus.. PubMed. 90(7). 826–7. 3 indexed citations

10.

Yokota, Takashi, Takeshi Suda, Toru Takahashi, et al.. (2000). The striking effect of hyperbaric oxygenation therapy in the management of chronic idiopathic intestinal pseudo-obstruction. The American Journal of Gastroenterology. 95(1). 285–288. 6 indexed citations

11.

Matsuda, Yasunobu, Takafumi Ichida, Jun Matsuzawa, Kazuhito Sugimura, & Hitoshi Asakura. (1999). p16INK4 is inactivated by extensive CpG methylation in human hepatocellular carcinoma. Gastroenterology. 116(2). 394–400. 171 indexed citations

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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