Yo Muraki

1.4k total citations
18 papers, 1.2k citations indexed

About

Yo Muraki is a scholar working on Cognitive Neuroscience, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Yo Muraki has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 6 papers in Molecular Biology and 5 papers in Endocrine and Autonomic Systems. Recurrent topics in Yo Muraki's work include Sleep and Wakefulness Research (7 papers), Sleep and related disorders (5 papers) and Circadian rhythm and melatonin (4 papers). Yo Muraki is often cited by papers focused on Sleep and Wakefulness Research (7 papers), Sleep and related disorders (5 papers) and Circadian rhythm and melatonin (4 papers). Yo Muraki collaborates with scholars based in Japan and United States. Yo Muraki's co-authors include Natsuko Tsujino, Katsutoshi Goto, Takeshi Sakurai, Akihiro Yamanaka, Thomas S. Kilduff, Satoru Takahashi, Satoshi Kunita, Haruaki Kageyama, R Nagata and Seiji Shioda and has published in prestigious journals such as Neuron, Journal of Neuroscience and Journal of Neurophysiology.

In The Last Decade

Yo Muraki

18 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yo Muraki Japan 12 861 843 552 148 135 18 1.2k
Maysa Sarhan United States 9 361 0.4× 301 0.4× 191 0.3× 217 1.5× 208 1.5× 14 817
Gregory C. Sartor United States 17 520 0.6× 414 0.5× 238 0.4× 316 2.1× 440 3.3× 27 1.3k
Jenny C. Roberts United Kingdom 11 433 0.5× 353 0.4× 261 0.5× 210 1.4× 122 0.9× 14 750
Hitoshi Matsumura Japan 18 282 0.3× 223 0.3× 136 0.2× 155 1.0× 201 1.5× 47 765
Xiang-Shan Yuan China 14 382 0.4× 233 0.3× 118 0.2× 216 1.5× 90 0.7× 21 621
Gigliola Grassi Zucconi Italy 12 380 0.4× 130 0.2× 145 0.3× 259 1.8× 115 0.9× 21 710
Christian Blex Germany 11 140 0.2× 273 0.3× 93 0.2× 190 1.3× 179 1.3× 18 707
Susanna Bianchi Italy 11 179 0.2× 132 0.2× 113 0.2× 67 0.5× 115 0.9× 21 398
Natalie Welty United States 8 199 0.2× 194 0.2× 148 0.3× 106 0.7× 113 0.8× 9 477

Countries citing papers authored by Yo Muraki

Since Specialization
Citations

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

Fields of papers citing papers by Yo Muraki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yo Muraki

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

All Works

18 of 18 papers shown
1.
Okuzono, Yuumi, Yo Muraki, & Shuji Sato. (2022). TNFR2 pathways are fully active in cancer regulatory T cells. Bioscience Biotechnology and Biochemistry. 86(3). 351–361. 6 indexed citations
2.
Muraki, Yo, et al.. (2020). The evaluation of lymph node cell proliferation response by liposomes loaded with major histocompatibility complex class II binding aquaporin 4 antigen peptide. Bioscience Biotechnology and Biochemistry. 85(3). 537–544. 2 indexed citations
3.
Muraki, Yo, Kimio Tohyama, Sachio Shibata, et al.. (2019). Improvement of pulmonary arterial hypertension, inflammatory response, and epithelium injury by dual activation of cAMP/cGMP pathway in a rat model of monocrotaline-induced pulmonary hypertension. Bioscience Biotechnology and Biochemistry. 83(6). 1000–1010. 9 indexed citations
4.
Muraki, Yo, et al.. (2018). Fluorescent Imaging Analysis for Distribution of Fluorescent Dye Labeled- or Encapsulated-Liposome in Monocrotaline-Induced Pulmonary Hypertension Model Rat. Chemical and Pharmaceutical Bulletin. 66(3). 270–276. 7 indexed citations
5.
Sisson, Thomas H., Paul J. Christensen, Yo Muraki, et al.. (2018). Phosphodiesterase 4 inhibition reduces lung fibrosis following targeted type II alveolar epithelial cell injury. Physiological Reports. 6(12). e13753–e13753. 45 indexed citations
6.
Muraki, Yo, et al.. (2017). Elevation of liver endoplasmic reticulum stress in a modified choline-deficient l -amino acid-defined diet-fed non-alcoholic steatohepatitis mouse model. Biochemical and Biophysical Research Communications. 486(3). 632–638. 8 indexed citations
7.
Hirose, Hideki, Takeshi Yamasaki, Masaki Ogino, et al.. (2017). Discovery of novel 5-oxa-2,6-diazaspiro[3.4]oct-6-ene derivatives as potent, selective, and orally available somatostatin receptor subtype 5 (SSTR5) antagonists for treatment of type 2 diabetes mellitus. Bioorganic & Medicinal Chemistry. 25(15). 4175–4193. 19 indexed citations
8.
Muraki, Yo, et al.. (2017). Fluorescence-labeled liposome accumulation in injured colon of a mouse model of T-cell transfer-mediated inflammatory bowel disease. Biochemical and Biophysical Research Communications. 494(1-2). 188–193. 19 indexed citations
9.
Nio, Yasunori, Masayuki Tanaka, Yoshihiko Hirozane, et al.. (2017). Phosphodiesterase 4 inhibitor and phosphodiesterase 5 inhibitor combination therapy has antifibrotic and anti‐inflammatory effects in mdx mice with Duchenne muscular dystrophy. The FASEB Journal. 31(12). 5307–5320. 23 indexed citations
10.
Yamanaka, Akihiro, Yo Muraki, Natsuko Tsujino, et al.. (2006). Orexin Neurons Are Directly and Indirectly Regulated by Catecholamines in a Complex Manner. Journal of Neurophysiology. 96(1). 284–298. 101 indexed citations
11.
Sakurai, Takeshi, R Nagata, Akihiro Yamanaka, et al.. (2005). Input of Orexin/Hypocretin Neurons Revealed by a Genetically Encoded Tracer in Mice. Neuron. 46(2). 297–308. 376 indexed citations
12.
Sakurai, Takeshi, R Nagata, Akihiro Yamanaka, et al.. (2005). Input of Orexin/Hypocretin Neurons Revealed by a Genetically Encoded Tracer in Mice. Neuron. 46(5). 837–837. 11 indexed citations
13.
Tsujino, Natsuko, Akihiro Yamanaka, Yo Muraki, et al.. (2005). Cholecystokinin Activates Orexin/Hypocretin Neurons through the Cholecystokinin A Receptor. Journal of Neuroscience. 25(32). 7459–7469. 112 indexed citations
14.
Muraki, Yo, Akihiro Yamanaka, Natsuko Tsujino, et al.. (2004). Serotonergic Regulation of the Orexin/Hypocretin Neurons through the 5-HT1AReceptor. Journal of Neuroscience. 24(32). 7159–7166. 159 indexed citations
15.
Yamanaka, Akihiro, Yo Muraki, Natsuko Tsujino, Katsutoshi Goto, & Takeshi Sakurai. (2004). Regulation of orexin neurons by the monoaminergic and cholinergic systems. Sleep and Biological Rhythms. 2(s1). S60–S60. 52 indexed citations
16.
Yamanaka, Akihiro, Yo Muraki, Natsuko Tsujino, Katsutoshi Goto, & Takeshi Sakurai. (2003). Regulation of orexin neurons by the monoaminergic and cholinergic systems. Biochemical and Biophysical Research Communications. 303(1). 120–129. 176 indexed citations
17.
Yoshida, Kazuhiko, Yo Muraki, Takayuki Harada, et al.. (1995). C-fos gene expression in rat retinal cells after focal retinal injury.. PubMed. 36(1). 251–4. 24 indexed citations
18.
Muraki, Yo, Tomoko Kobayashi, Hideo Kojima, et al.. (1992). [Anorexia nervosa with neutropenia--response of neutrophils to G-CSF].. PubMed. 33(3). 328–32. 4 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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