Sumio Matzno

808 total citations
42 papers, 690 citations indexed

About

Sumio Matzno is a scholar working on Molecular Biology, Surgery and Pharmacology. According to data from OpenAlex, Sumio Matzno has authored 42 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Surgery and 5 papers in Pharmacology. Recurrent topics in Sumio Matzno's work include Sperm and Testicular Function (5 papers), Lipoproteins and Cardiovascular Health (4 papers) and Cancer, Lipids, and Metabolism (4 papers). Sumio Matzno is often cited by papers focused on Sperm and Testicular Function (5 papers), Lipoproteins and Cardiovascular Health (4 papers) and Cancer, Lipids, and Metabolism (4 papers). Sumio Matzno collaborates with scholars based in Japan, United States and China. Sumio Matzno's co-authors include Kenji Matsuyama, TSUTOMU MIMURA, Masaru Okabe, Takeshi Akiyoshi, Toshikatsu Nakabayashi, Noboru Okamura, Morio Nagira, Yasuhiro Kohama, Yuichi Kawai and Tadanori Mayumi and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Cell Science.

In The Last Decade

Sumio Matzno

39 papers receiving 677 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sumio Matzno Japan 14 286 130 123 113 95 42 690
Taisuke Nakayama Japan 17 382 1.3× 73 0.6× 147 1.2× 92 0.8× 131 1.4× 55 828
Claudia Giampietri Italy 23 712 2.5× 84 0.6× 53 0.4× 188 1.7× 79 0.8× 42 1.2k
Xiaojing Yang Canada 15 379 1.3× 69 0.5× 60 0.5× 155 1.4× 30 0.3× 43 739
Xiong Li China 19 562 2.0× 48 0.4× 63 0.5× 103 0.9× 61 0.6× 70 1.2k
Simonetta Petrungaro Italy 16 468 1.6× 102 0.8× 116 0.9× 138 1.2× 64 0.7× 27 827
Annalisa Trenti Italy 12 296 1.0× 31 0.2× 30 0.2× 28 0.2× 71 0.7× 21 767
Yunbae Pak South Korea 21 545 1.9× 42 0.3× 39 0.3× 330 2.9× 183 1.9× 49 1.0k
Jean‐François Mirjolet France 11 397 1.4× 67 0.5× 21 0.2× 18 0.2× 50 0.5× 21 1.1k
Maryam Rezaei Iran 19 450 1.6× 25 0.2× 108 0.9× 47 0.4× 32 0.3× 52 840
Tomoko Inoue Japan 19 565 2.0× 33 0.3× 27 0.2× 83 0.7× 54 0.6× 50 1.0k

Countries citing papers authored by Sumio Matzno

Since Specialization
Citations

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

Fields of papers citing papers by Sumio Matzno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumio Matzno

This figure shows the co-authorship network connecting the top 25 collaborators of Sumio Matzno. A scholar is included among the top collaborators of Sumio Matzno 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 Sumio Matzno. Sumio Matzno 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
1.
2.
Kanda, Yuki, et al.. (2016). Skb5, an SH3 adaptor protein, regulates Pmk1 MAPK signaling by controlling the intracellular localization of Mkh1 MAPKKK. Journal of Cell Science. 129(16). 3189–202. 8 indexed citations
3.
Kita, Ayako, Tatsuki Kunoh, Takashi Masuko, et al.. (2013). Fingolimod (FTY720) Stimulates Ca2+/Calcineurin Signaling in Fission Yeast. PLoS ONE. 8(12). e81907–e81907. 22 indexed citations
4.
Tomiyama, Naoki, et al.. (2009). Factors Influencing Peak Concentrations of Arbekacin in Patients. Iryo Yakugaku (Japanese Journal of Pharmaceutical Health Care and Sciences). 35(10). 701–705. 3 indexed citations
5.
Okamura, Noboru, et al.. (2008). Methods of preventing vinorelbine-induced phlebitis: an experimental study in rabbits. International Journal of Medical Sciences. 5(4). 218–223. 22 indexed citations
6.
Matzno, Sumio, Teng‐Leong Chew, Susan B. Hopkinson, et al.. (2006). Integrin β4 Regulates Migratory Behavior of Keratinocytes by Determining Laminin-332 Organization. Journal of Biological Chemistry. 281(46). 35487–35498. 103 indexed citations
7.
Yoshida, Makiko, et al.. (2006). Statistical analysis of the adverse effects of glycopeptide antibiotics, based on pharmacokinetics and toxicokinetics (PK/TK). Journal of Infection and Chemotherapy. 12(3). 114–118. 10 indexed citations
8.
Matzno, Sumio, Shinya YASUDA, Takeshi Akiyoshi, et al.. (2005). Clofibrate-induced apoptosis is mediated by Ca2+-dependent caspase-12 activation. Life Sciences. 78(16). 1892–1899. 16 indexed citations
9.
Yasuda, Noriko, et al.. (2005). Evaluation of apoptosis and necrosis induced by statins using fluorescence-enhanced flow cytometry. Journal of Pharmaceutical and Biomedical Analysis. 39(3-4). 712–717. 20 indexed citations
10.
Shinyama, Hiroshi, et al.. (1998). CALCIUM CHANNEL BLOCKING AND VASODILATING ACTIONS OF THE NOVEL DIHYDROPYRIDINE DERIVATIVE AE0047. Clinical and Experimental Pharmacology and Physiology. 25(5). 347–354. 4 indexed citations
11.
Hayashi, Kazutaka, Teruaki Imada, Takeshi Yamauchi, et al.. (1998). POSSIBLE MECHANISM FOR THE ANTI‐ATHEROSCLEROTIC ACTION OF THE CALCIUM CHANNEL BLOCKER AE0047 IN CHOLESTEROL‐FED RABBITS. Clinical and Experimental Pharmacology and Physiology. 25(1). 17–25. 5 indexed citations
12.
Eda, Masahiro, Hiroto Sakashita, Sumio Matzno, et al.. (1996). Synthesis and Pharmacological Evaluation of N-(6-Functionalized-amino-3-pyridyl)-N'-bicycloalkyl-N"-cyanoguanidines as Antihypertensive Agents.. Chemical and Pharmaceutical Bulletin. 44(2). 307–313. 1 indexed citations
13.
Yamauchi, Takeshi, Sumio Matzno, Teruaki Imada, et al.. (1996). AL0671, A new potassium channel opener, inhibits nonenzymatic glycation of protein and LDL oxidation. General Pharmacology The Vascular System. 27(2). 257–262. 3 indexed citations
14.
Matzno, Sumio, et al.. (1994). A possible mechanism of action of a new potassium channel opener, AL0671, on lipid metabolism in obese Zucker rats.. Journal of Pharmacology and Experimental Therapeutics. 271(3). 1666–1671. 8 indexed citations
16.
Okabe, Masaru, Morio Nagira, Yuichi Kawai, et al.. (1990). A human sperm antigen possibly involved in binding and/or fusion with zona-free hamster eggs. Fertility and Sterility. 54(6). 1121–1126. 72 indexed citations
17.
Okabe, Masaru, et al.. (1989). A HUMAN SPERM ANTIGEN POSSIBLY INVOLVED IN BINDING AND/OR FUSION WITH ZONA-FREE HAMSTER EGGS. 4. 22–25. 4 indexed citations
18.
Okabe, Masaru, et al.. (1989). Glucosamine enhanced sperm-egg binding but inhibited sperm-egg fusion in mouse. Cellular and Molecular Life Sciences. 45(2). 193–194. 5 indexed citations
19.
Kawai, Yuichi, Takao HAMA, Tadanori Mayumi, et al.. (1989). Flow cytometric analysis of mouse sperm using monoclonal anti-sperm antibody OBF13. Journal of Reproductive Immunology. 16(1). 71–82. 13 indexed citations
20.
Okabe, Masaru, et al.. (1988). Effect of a monoclonal anti-mouse sperm antibody (OBF13) on the interaction of mouse sperm with zona-free mouse and hamster eggs. Journal of Reproductive Immunology. 13(3). 211–219. 57 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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