Masaya Yanagi

696 total citations
21 papers, 481 citations indexed

About

Masaya Yanagi is a scholar working on Molecular Biology, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Masaya Yanagi has authored 21 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Cognitive Neuroscience and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Masaya Yanagi's work include Neuroscience and Neuropharmacology Research (6 papers), Functional Brain Connectivity Studies (6 papers) and Optical Imaging and Spectroscopy Techniques (5 papers). Masaya Yanagi is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Functional Brain Connectivity Studies (6 papers) and Optical Imaging and Spectroscopy Techniques (5 papers). Masaya Yanagi collaborates with scholars based in Japan and United States. Masaya Yanagi's co-authors include Osamu Shirakawa, Carol A. Tamminga, Subroto Ghose, Naoki Nishiguchi, Kiyoshi Maeda, Akitoyo Hishimoto, Takeshi Hashimoto, Noa Tsujii, Rolf H. Joho and Abhay A. Shukla and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Masaya Yanagi

20 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masaya Yanagi Japan 14 191 166 123 96 79 21 481
Sandy Popp Germany 14 195 1.0× 234 1.4× 147 1.2× 58 0.6× 100 1.3× 24 638
Gil D. Hoftman United States 12 218 1.1× 357 2.2× 310 2.5× 114 1.2× 131 1.7× 23 739
Tarik Dahoun United Kingdom 11 109 0.6× 135 0.8× 177 1.4× 46 0.5× 106 1.3× 18 460
Masahiko Tsunoda Japan 13 121 0.6× 145 0.9× 141 1.1× 29 0.3× 122 1.5× 23 409
Alexander Jatzko Germany 11 137 0.7× 135 0.8× 123 1.0× 58 0.6× 79 1.0× 21 511
Hiroki Yoshino Japan 12 93 0.5× 270 1.6× 270 2.2× 65 0.7× 23 0.3× 22 531
Timothy A. Klempan Canada 10 339 1.8× 230 1.4× 57 0.5× 204 2.1× 79 1.0× 13 704
Qizhong Yi China 9 108 0.6× 45 0.3× 129 1.0× 38 0.4× 62 0.8× 32 369
Shintaro Ohgake Japan 13 107 0.6× 210 1.3× 130 1.1× 44 0.5× 33 0.4× 16 415
Puay San Woon Singapore 9 114 0.6× 100 0.6× 209 1.7× 98 1.0× 191 2.4× 9 575

Countries citing papers authored by Masaya Yanagi

Since Specialization
Citations

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

Fields of papers citing papers by Masaya Yanagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaya Yanagi

This figure shows the co-authorship network connecting the top 25 collaborators of Masaya Yanagi. A scholar is included among the top collaborators of Masaya Yanagi 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 Masaya Yanagi. Masaya Yanagi 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.
Yanagi, Masaya, Osamu Ichikawa, Masataka Yamaguchi, et al.. (2025). Concurrent examination of gamma-stimulated variability in heart rate and auditory steady-state response in patients with major depressive, bipolar, and schizophrenia spectrum disorders. Journal of Affective Disorders. 385. 119380–119380.
2.
Yanagi, Masaya & Mamoru Hashimoto. (2024). Dysfunctional Parvalbumin Neurons in Schizophrenia and the Pathway to the Clinical Application of Kv3 Channel Modulators. International Journal of Molecular Sciences. 25(16). 8696–8696. 3 indexed citations
3.
Yanagi, Masaya, et al.. (2022). Evaluating delay of gamma oscillations in patients with schizophrenia using evoked response audiometry system. Scientific Reports. 12(1). 11327–11327. 6 indexed citations
4.
Yanagi, Masaya, et al.. (2022). Application of evoked response audiometry for specifying aberrant gamma oscillations in schizophrenia. Scientific Reports. 12(1). 287–287. 3 indexed citations
5.
Yanagi, Masaya & Osamu Shirakawa. (2021). Application of Near-Infrared Spectroscopy for Understanding Spontaneous Brain Activity During Resting State in Schizophrenia: A Mini Review. Frontiers in Psychiatry. 12. 704506–704506. 8 indexed citations
6.
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9.
Otsuka, Ikuo, Shusuke Numata, Masaya Yanagi, et al.. (2018). Mitochondrial DNA copy number of peripheral blood in bipolar disorder: The present study and a meta-analysis. Psychiatry Research. 269. 115–117. 33 indexed citations
10.
Segev, Amir, Masaya Yanagi, Daniel E. Scott, et al.. (2018). Reduced GluN1 in mouse dentate gyrus is associated with CA3 hyperactivity and psychosis-like behaviors. Molecular Psychiatry. 25(11). 2832–2843. 21 indexed citations
11.
Tsujii, Noa, et al.. (2014). Right temporal activation differs between melancholia and nonmelancholic depression: A multichannel near-infrared spectroscopy study. Journal of Psychiatric Research. 55. 1–7. 29 indexed citations
12.
Stan, Ana D., Subroto Ghose, Chenguang Zhao, et al.. (2014). Magnetic resonance spectroscopy and tissue protein concentrations together suggest lower glutamate signaling in dentate gyrus in schizophrenia. Molecular Psychiatry. 20(4). 433–439. 64 indexed citations
13.
Yanagi, Masaya, et al.. (2013). Kv3.1-containing K+ channels are reduced in untreated schizophrenia and normalized with antipsychotic drugs. Molecular Psychiatry. 19(5). 573–579. 62 indexed citations
14.
Yanagi, Masaya, et al.. (2011). Animal Models of Schizophrenia. Progress in molecular biology and translational science. 105. 411–444. 17 indexed citations
15.
Cui, Huxing, Naoki Nishiguchi, Masaya Yanagi, et al.. (2010). A putative cis-acting polymorphism in the NOS1 gene is associated with schizophrenia and NOS1 immunoreactivity in the postmortem brain. Schizophrenia Research. 121(1-3). 172–178. 28 indexed citations
16.
Kyogoku, Chieko, Masaya Yanagi, Kunihiro Nishimura, et al.. (2010). Association of calcineurin A gamma subunit (PPP3CC) and early growth response 3 (EGR3) gene polymorphisms with susceptibility to schizophrenia in a Japanese population. Psychiatry Research. 185(1-2). 16–19. 18 indexed citations
17.
Yanagi, Masaya, Takeshi Hashimoto, Noboru Kitamura, et al.. (2008). Expression of Kruppel-like factor 5 gene in human brain and association of the gene with the susceptibility to schizophrenia. Schizophrenia Research. 100(1-3). 291–301. 27 indexed citations
18.
Cui, Huxing, Naoki Nishiguchi, Elena I. Ivleva, et al.. (2007). Association of RGS2 Gene Polymorphisms with Suicide and Increased RGS2 Immunoreactivity in the Postmortem Brain of Suicide Victims. Neuropsychopharmacology. 33(7). 1537–1544. 33 indexed citations
19.
Hishimoto, Akitoyo, Osamu Shirakawa, Naoki Nishiguchi, et al.. (2006). Association between a functional polymorphism in the renin-angiotensin system and completed suicide. Journal of Neural Transmission. 113(12). 1915–1920. 30 indexed citations
20.
Yanagi, Masaya, Osamu Shirakawa, Noboru Kitamura, et al.. (2005). Association of 14-3-3 ε gene haplotype with completed suicide in Japanese. Journal of Human Genetics. 50(4). 210–216. 32 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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