Kohei Miyazono

763 total citations
9 papers, 640 citations indexed

About

Kohei Miyazono is a scholar working on Molecular Biology, Immunology and Allergy and Genetics. According to data from OpenAlex, Kohei Miyazono has authored 9 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Immunology and Allergy and 1 paper in Genetics. Recurrent topics in Kohei Miyazono's work include TGF-β signaling in diseases (8 papers), Cell Adhesion Molecules Research (3 papers) and Bone Metabolism and Diseases (3 papers). Kohei Miyazono is often cited by papers focused on TGF-β signaling in diseases (8 papers), Cell Adhesion Molecules Research (3 papers) and Bone Metabolism and Diseases (3 papers). Kohei Miyazono collaborates with scholars based in Japan, Sweden and Belgium. Kohei Miyazono's co-authors include Hidenori Ichijo, Takeshi Imamura, Masahiro Kawabata, Carl‐Henrik Heldin, Shigeaki KATO, Jun‐ichi Hanai, Jun Yanagisawa, Nobuaki Okamoto, T. Kuber Sampath and Masao Takase and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Bone and Mineral Research and International Journal of Cancer.

In The Last Decade

Kohei Miyazono

9 papers receiving 627 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kohei Miyazono Japan	9	513	151	76	74	56	9	640
T Okadome Japan	9	680 1.3×	157 1.0×	43 0.6×	57 0.8×	41 0.7×	15	846
Heldin Ch Sweden	7	479 0.9×	154 1.0×	121 1.6×	113 1.5×	53 0.9×	11	727
Teresa López‐Rovira Spain	9	656 1.3×	156 1.0×	94 1.2×	39 0.5×	28 0.5×	10	817
Elaine Langenfeld United States	9	572 1.1×	206 1.4×	90 1.2×	22 0.3×	60 1.1×	11	745
Christopher R. McKenna United States	7	462 0.9×	424 2.8×	146 1.9×	39 0.5×	36 0.6×	9	735
Naito Kurio Japan	18	429 0.8×	161 1.1×	102 1.3×	79 1.1×	26 0.5×	39	739
Magdalena Kovacsovics‐Bankowski United States	9	304 0.6×	259 1.7×	54 0.7×	33 0.4×	22 0.4×	12	714
Philip Sohn United States	12	542 1.1×	151 1.0×	74 1.0×	66 0.9×	91 1.6×	13	791
Jutta Goldschmitt Germany	10	234 0.5×	422 2.8×	99 1.3×	27 0.4×	63 1.1×	15	889
Constantinos D. Constantinou United States	15	412 0.8×	65 0.4×	67 0.9×	75 1.0×	27 0.5×	20	800

Countries citing papers authored by Kohei Miyazono

Since Specialization

Citations

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

Fields of papers citing papers by Kohei Miyazono

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kohei Miyazono

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

All Works

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9 of 9 papers shown

Kato, Seiya, Seiji Ueda, Kiyoshi Tamaki, et al.. (2001). Ectopic expression of Smad7 inhibits transforming growth factor-β responses in vascular smooth muscle cells. Life Sciences. 69(22). 2641–2652. 10 indexed citations

Tamura, Yasuhiro, Yasuhiro Takeuchi, Miyuki Suzawa, et al.. (2001). Focal Adhesion Kinase Activity Is Required for Bone Morphogenetic Protein—Smad1 Signaling and Osteoblastic Differentiation in Murine MC3T3-E1 Cells. Journal of Bone and Mineral Research. 16(10). 1772–1779. 94 indexed citations

Shimizu, Akira, Atsuhito Nakao, Takeshi Imamura, et al.. (1998). Identification of receptors and Smad proteins involved in activin signalling in a human epidermal keratinocyte cell line. Genes to Cells. 3(2). 125–134. 63 indexed citations

Nishihara, Ayako, Jun‐ichi Hanai, Nobuaki Okamoto, et al.. (1998). Role of p300, a transcriptional coactivator, in signalling of TGF‐β. Genes to Cells. 3(9). 613–623. 137 indexed citations

Takase, Masao, Takeshi Imamura, T. Kuber Sampath, et al.. (1998). Induction of Smad6 mRNA by Bone Morphogenetic Proteins. Biochemical and Biophysical Research Communications. 244(1). 26–29. 139 indexed citations

Yamada, Naoshi, et al.. (1995). Enhanced expression of transforming growth factor‐β and its type‐I and type‐II receptors in human glioblastoma. International Journal of Cancer. 62(4). 386–392. 101 indexed citations

Miyazono, Kohei, Peter ten Dijke, Hidetoshi Yamashita, & Carl‐Henrik Heldin. (1994). Signal transduction via serine/threonine kinase receptors. PubMed. 5(6). 389–398. 41 indexed citations

Miyagawa, Kiyoshi, Hidenori Ichijo, Kazuo Oshimi, et al.. (1992). Decreased Level of Transforming Growth Factor-β in Blood Lymphocytes of Patients with Aplastic Anemia. Growth Factors. 6(1). 85–90. 11 indexed citations

Ichijo, Hidenori, et al.. (1990). Biological effects and binding properties of transforming growth factor-β on human oral squamous cell carcinoma cells. Experimental Cell Research. 187(2). 263–269. 44 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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