Nobuyuki Moriki

619 total citations
8 papers, 525 citations indexed

About

Nobuyuki Moriki is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Nobuyuki Moriki has authored 8 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 2 papers in Physiology. Recurrent topics in Nobuyuki Moriki's work include Protein Kinase Regulation and GTPase Signaling (5 papers), Cardiomyopathy and Myosin Studies (3 papers) and Protein Tyrosine Phosphatases (2 papers). Nobuyuki Moriki is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (5 papers), Cardiomyopathy and Myosin Studies (3 papers) and Protein Tyrosine Phosphatases (2 papers). Nobuyuki Moriki collaborates with scholars based in Japan and United States. Nobuyuki Moriki's co-authors include Ryuji Okamoto, Masaaki Ito, Takeshi Nakano, Naoki Isaka, Yasuko Kureishi, Tetsuya Seko, David J. Hartshorne, Katsuya Onishi, Kozo Kaibuchi and Norikazu Yamada and has published in prestigious journals such as Circulation Research, Biochemical and Biophysical Research Communications and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Nobuyuki Moriki

7 papers receiving 519 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nobuyuki Moriki Japan 6 361 167 151 69 63 8 525
Ruqin Kou United States 10 345 1.0× 133 0.8× 278 1.8× 75 1.1× 27 0.4× 11 620
Satsuki Sakaguchi Japan 8 372 1.0× 102 0.6× 177 1.2× 53 0.8× 69 1.1× 9 611
Linda Merkel United States 14 300 0.8× 188 1.1× 162 1.1× 46 0.7× 24 0.4× 25 551
Julie Saliez Belgium 5 247 0.7× 157 0.9× 214 1.4× 53 0.8× 57 0.9× 5 614
Hiromi Hiyoshi Japan 13 285 0.8× 193 1.2× 67 0.4× 37 0.5× 136 2.2× 17 516
Asim Dey United States 7 458 1.3× 204 1.2× 222 1.5× 37 0.5× 51 0.8× 13 730
Terence Chiu United States 11 326 0.9× 80 0.5× 51 0.3× 49 0.7× 48 0.8× 14 514
Ling Ruan United States 12 215 0.6× 77 0.5× 195 1.3× 54 0.8× 49 0.8× 13 445
Ursula Baur Switzerland 11 263 0.7× 123 0.7× 164 1.1× 57 0.8× 104 1.7× 11 573
Yvonne E. G. Eskildsen-Helmond Denmark 14 194 0.5× 126 0.8× 156 1.0× 43 0.6× 25 0.4× 17 398

Countries citing papers authored by Nobuyuki Moriki

Since Specialization
Citations

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

Fields of papers citing papers by Nobuyuki Moriki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuyuki Moriki

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

All Works

8 of 8 papers shown
1.
Okamoto, Ryuji, Nobuyuki Moriki, Satoshi Fujita, et al.. (2009). Overexpression of Myosin Phosphatase Reduces Ca2+ Sensitivity of Contraction and Impairs Cardiac Function. Circulation Journal. 74(1). 120–128. 35 indexed citations
2.
Ito, Masaaki, Yasuko Kureishi, Nobuyuki Moriki, et al.. (2005). Critical Role of Rho/Rho-kinase Pathway for C-reactive Protein-induced Plasminogen Activator Inhibitor-1 Expression in Bovine Aortic Endothelial Cells(Atherosclerosis, Basic 1 (IHD), The 69th Annual Scientific Meeting of the Japanese Circulation Society). Japanese Circulation Journal-english Edition. 69. 145. 1 indexed citations
3.
Okamoto, Ryuji, Masaaki Ito, Noboru Suzuki, et al.. (2005). The targeted disruption of the MYPT1 gene results in embryonic lethality. Transgenic Research. 14(3). 337–340. 37 indexed citations
5.
Ito, Masaaki, Yasuko Kureishi, Ryuji Okamoto, et al.. (2005). Rho/Rho-Kinase Pathway Contributes to C-Reactive Protein–Induced Plasminogen Activator Inhibitor-1 Expression in Endothelial Cells. Arteriosclerosis Thrombosis and Vascular Biology. 25(10). 2088–2093. 63 indexed citations
6.
Moriki, Nobuyuki, Masaaki Ito, Tetsuya Seko, et al.. (2004). RhoA Activation in Vascular Smooth Muscle Cells from Stroke-Prone Spontaneously Hypertensive Rats. Hypertension Research. 27(4). 263–270. 83 indexed citations
7.
Seko, Tetsuya, Masaaki Ito, Yasuko Kureishi, et al.. (2003). Activation of RhoA and Inhibition of Myosin Phosphatase as Important Components in Hypertension in Vascular Smooth Muscle. Circulation Research. 92(4). 411–418. 282 indexed citations
8.
Moriki, Nobuyuki, Ryuji Okamoto, Naoki Isaka, et al.. (2001). Identification of Human CPI-17, an Inhibitory Phosphoprotein for Myosin Phosphatase. Biochemical and Biophysical Research Communications. 285(4). 1040–1045. 24 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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