Toshiyuki Miyata

18.2k total citations
330 papers, 13.4k citations indexed

About

Toshiyuki Miyata is a scholar working on Hematology, Molecular Biology and Immunology. According to data from OpenAlex, Toshiyuki Miyata has authored 330 papers receiving a total of 13.4k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Hematology, 83 papers in Molecular Biology and 74 papers in Immunology. Recurrent topics in Toshiyuki Miyata's work include Blood Coagulation and Thrombosis Mechanisms (90 papers), Complement system in diseases (55 papers) and Platelet Disorders and Treatments (39 papers). Toshiyuki Miyata is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (90 papers), Complement system in diseases (55 papers) and Platelet Disorders and Treatments (39 papers). Toshiyuki Miyata collaborates with scholars based in Japan, United States and Germany. Toshiyuki Miyata's co-authors include Koichi Kokame, Hisao Kato, Shiroh Iwanaga, Sadaaki Iwanaga, Fuminori Tokunaga, Yoshihiro Kokubo, Teruo Yasunaga, Akira Okayama, Tong Yin and Yoshihiro Fujimura and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Toshiyuki Miyata

319 papers receiving 13.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toshiyuki Miyata Japan 62 4.9k 3.8k 3.5k 1.6k 1.4k 330 13.4k
R.F.A. Zwaal Netherlands 57 6.9k 1.4× 2.3k 0.6× 4.4k 1.3× 1.2k 0.7× 1.0k 0.7× 135 14.4k
Chris Reutelingsperger Netherlands 60 9.4k 1.9× 4.7k 1.2× 1.5k 0.4× 887 0.5× 550 0.4× 260 18.4k
Fumimaro Takaku Japan 68 8.8k 1.8× 4.3k 1.1× 3.1k 0.9× 2.0k 1.2× 1.1k 0.8× 657 20.9k
Salvatore V. Pizzo United States 71 7.5k 1.5× 2.8k 0.7× 3.2k 0.9× 842 0.5× 1.0k 0.7× 395 17.2k
Ugo Testa Italy 68 8.7k 1.8× 3.7k 1.0× 4.9k 1.4× 1.1k 0.7× 2.3k 1.6× 423 16.9k
Stanisław Krajewski United States 72 15.2k 3.1× 3.4k 0.9× 670 0.2× 1.0k 0.6× 1.2k 0.9× 183 22.9k
Hermann-Josef Gröne Germany 62 5.0k 1.0× 2.7k 0.7× 878 0.3× 878 0.5× 687 0.5× 170 11.9k
William A. Gahl United States 71 6.5k 1.3× 1.9k 0.5× 1.4k 0.4× 2.7k 1.6× 1.1k 0.8× 487 18.3k
Éric Solary France 75 12.5k 2.6× 5.3k 1.4× 3.5k 1.0× 892 0.5× 2.3k 1.6× 369 21.5k
Brett P. Monia United States 77 13.9k 2.8× 1.7k 0.4× 1.8k 0.5× 1.1k 0.7× 2.1k 1.5× 274 21.8k

Countries citing papers authored by Toshiyuki Miyata

Since Specialization
Citations

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

Fields of papers citing papers by Toshiyuki Miyata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshiyuki Miyata

This figure shows the co-authorship network connecting the top 25 collaborators of Toshiyuki Miyata. A scholar is included among the top collaborators of Toshiyuki Miyata 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 Toshiyuki Miyata. Toshiyuki Miyata 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.
Wada, Hideo, Katsuya Shiraki, Hideto Shimpo, & Toshiyuki Miyata. (2025). Evaluation of Deficiency and Excessive Condition of Thrombin Burst Using Laboratory Tests. Thrombosis and Haemostasis.
2.
Matsumoto, Masanori, Yoshitaka Miyakawa, Koichi Kokame, et al.. (2023). Diagnostic and treatment guidelines for thrombotic thrombocytopenic purpura (TTP) in Japan 2023. International Journal of Hematology. 118(5). 529–546. 15 indexed citations
3.
Tanaka, Tomotaka, Masafumi Ihara, Kazuki Fukuma, et al.. (2021). Influence of Renal Impairment and Genetic Subtypes on Warfarin Control in Japanese Patients. Genes. 12(10). 1537–1537. 1 indexed citations
4.
Miyoshi, Takekazu, Akira Okamoto, Koichi Kokame, et al.. (2019). Effects of low-dose combined oral contraceptives and protein S K196E mutation on anticoagulation factors: a prospective observational study. International Journal of Hematology. 109(6). 641–649. 6 indexed citations
5.
Okamoto, Akira, Shigeki Miyata, Reiko Neki, et al.. (2014). Effects of factor VIII levels on the APTT and anti-Xa activity under a therapeutic dose of heparin. International Journal of Hematology. 101(2). 119–125. 28 indexed citations
6.
Miyata, Toshiyuki, et al.. (2012). Structure and function of blood coagulation factor XI. Japanese Journal of Thrombosis and Hemostasis. 23(6). 594–598.
7.
Miyata, Toshiyuki, et al.. (2011). A redox switch in angiotensinogen modulates angiotensin release. Japanese Journal of Thrombosis and Hemostasis. 22(1). 49–52. 4 indexed citations
8.
Oguro, Ryosuke, Kei Kamide, Yoshihiro Kokubo, et al.. (2009). Abstract 2300: Association of Carotid Atherosclerosis With Genetic Polymorphisms of Klotho Gene in Patients With Hypertension and in the General Population. Circulation. 120. 1 indexed citations
9.
Yin, Tong, Satoshi Takeshita, Yukiko Sato, et al.. (2007). A large deletion of the PROS1 gene in a deep vein thrombosis patient with protein S deficiency. Thrombosis and Haemostasis. 98(10). 783–789. 15 indexed citations
10.
Kimura, Rina, Toshiyuki Sakata, Yoshihiro Kokubo, et al.. (2006). Plasma protein S activity correlates with protein S genotype but is not sensitive to identify K196E mutant carriers. Journal of Thrombosis and Haemostasis. 4(9). 2010–2013. 22 indexed citations
11.
Okuda, Tomohiko, Koichi Kokame, & Toshiyuki Miyata. (2005). [Functional analyses of NDRG1, a stress-responsive gene].. PubMed. 77(7). 630–4. 6 indexed citations
12.
Kalaydjieva, Luba, Hanns Lochmüller, Ivailo Tournev, et al.. (2004). 125th ENMC International Workshop: Neuromuscular Disorders in the Roma (Gypsy) Population, 23–25 April 2004, Naarden, The Netherlands. Neuromuscular Disorders. 15(1). 65–71. 22 indexed citations
13.
Okuda, Tomohiko, et al.. (2003). Pyridoxine 5′-phosphate oxidase is a candidate gene responsible for hypertension in Dahl-S rats. Biochemical and Biophysical Research Communications. 313(3). 647–653. 14 indexed citations
14.
Mizuno, Takumi, et al.. (2000). Synthesis of quinazolines using carbon dioxide (or carbon monoxide with sulfur) under mild conditions. Heteroatom Chemistry. 11(6). 428–433. 32 indexed citations
15.
16.
Nagata, Hideki, Atsuo Amano, Takashi Hanioka, et al.. (1993). Inhibition of coaggregation between Porphyromonas gingivalis and Streptococcus oralis by fibrinogen fragments. FEMS Microbiology Letters. 114(1). 31–36. 9 indexed citations
17.
Miyata, Toshiyuki, et al.. (1987). A new synthesis of benzimidazolones, benzoxazolones and benzothiazolone from o-substituted nitrobenzenes using sulfur and carbon monoxide.. NIPPON KAGAKU KAISHI. 1332–1337. 12 indexed citations
18.
Miyata, Toshiyuki, et al.. (1978). . NIPPON KAGAKU KAISHI. 1426–1430.
19.
Miyata, Toshiyuki & Tsuneaki Hirashima. (1977). Oxidative Coupling of 3-Nitro-o-xylene in Alkaline Solution'. NIPPON KAGAKU KAISHI. 435–437.
20.
Miyata, Toshiyuki, et al.. (1975). . NIPPON KAGAKU KAISHI. 1065–1069. 1 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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