Shigeru Tanaka

2.6k total citations
86 papers, 2.1k citations indexed

About

Shigeru Tanaka is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Shigeru Tanaka has authored 86 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 33 papers in Cellular and Molecular Neuroscience and 13 papers in Cell Biology. Recurrent topics in Shigeru Tanaka's work include Neuroscience and Neuropharmacology Research (17 papers), Receptor Mechanisms and Signaling (12 papers) and Neuroinflammation and Neurodegeneration Mechanisms (8 papers). Shigeru Tanaka is often cited by papers focused on Neuroscience and Neuropharmacology Research (17 papers), Receptor Mechanisms and Signaling (12 papers) and Neuroinflammation and Neurodegeneration Mechanisms (8 papers). Shigeru Tanaka collaborates with scholars based in Japan, United States and Thailand. Shigeru Tanaka's co-authors include Yoshinaga Saeki, Masatsugu Hori, Norio Sakai, Kazuo Kitagawa, Izumi Hide, Tsutomu Sasaki, Yoshiki Yagita, Takahiro Seki, Masayasu Matsumoto and Shiro Sugiura and has published in prestigious journals such as Science, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Shigeru Tanaka

81 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shigeru Tanaka Japan 25 923 579 309 286 285 86 2.1k
Hsiu Mei Hsieh‐Li Taiwan 27 2.1k 2.3× 415 0.7× 428 1.4× 156 0.5× 104 0.4× 67 3.2k
Byron D. Ford United States 25 791 0.9× 476 0.8× 177 0.6× 389 1.4× 128 0.4× 50 1.8k
Bing Sun China 22 777 0.8× 803 1.4× 435 1.4× 202 0.7× 312 1.1× 86 2.7k
Stephanie J. Murphy United States 31 656 0.7× 332 0.6× 198 0.6× 866 3.0× 349 1.2× 77 2.9k
James L. Franklin United States 25 1.5k 1.7× 698 1.2× 484 1.6× 201 0.7× 225 0.8× 32 2.8k
C. A. Davies United Kingdom 27 526 0.6× 543 0.9× 754 2.4× 395 1.4× 154 0.5× 39 2.0k
Gyun Jee Song South Korea 23 660 0.7× 202 0.3× 267 0.9× 417 1.5× 74 0.3× 56 1.6k
Bernard Eychenne France 26 594 0.6× 649 1.1× 173 0.6× 151 0.5× 195 0.7× 47 2.3k
Beatriz Pardo Spain 30 1.6k 1.7× 986 1.7× 495 1.6× 222 0.8× 131 0.5× 87 2.9k
Kenneth I. Strauss United States 24 771 0.8× 460 0.8× 199 0.6× 270 0.9× 305 1.1× 39 1.8k

Countries citing papers authored by Shigeru Tanaka

Since Specialization
Citations

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

Fields of papers citing papers by Shigeru Tanaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shigeru Tanaka

This figure shows the co-authorship network connecting the top 25 collaborators of Shigeru Tanaka. A scholar is included among the top collaborators of Shigeru Tanaka 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 Shigeru Tanaka. Shigeru Tanaka 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.
Harada, Kana, et al.. (2023). S-Palmitoylation of the serotonin transporter promotes its cell surface expression and serotonin uptake. Biochemical and Biophysical Research Communications. 662. 58–65. 3 indexed citations
2.
Tanaka, Shigeru, Yusuke Sotomaru, Kana Harada, et al.. (2022). GPR3 expression in retinal ganglion cells contributes to neuron survival and accelerates axonal regeneration after optic nerve crush in mice. Neurobiology of Disease. 172. 105811–105811. 9 indexed citations
3.
Hide, Izumi, Yuhki Yanase, Kana Harada, et al.. (2016). The Toll-like receptor 4-activated neuroprotective microglia subpopulation survives via granulocyte macrophage colony-stimulating factor and JAK2/STAT5 signaling. Neurochemistry International. 93. 82–94. 18 indexed citations
4.
Tanaka, Shigeru, Eisuke Dohi, Takahiro Seki, et al.. (2014). Developmental expression of GPR3 in rodent cerebellar granule neurons is associated with cell survival and protects neurons from various apoptotic stimuli. Neurobiology of Disease. 68. 215–227. 39 indexed citations
5.
Fujiwara, Masayuki, Hikaru Yamamoto, Takahiro Seki, et al.. (2013). Effects of the Chemical Chaperone 4-Phenylbutylate on the Function of the Serotonin Transporter (SERT) Expressed in COS-7 Cells. Journal of Pharmacological Sciences. 122(2). 71–83. 24 indexed citations
6.
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8.
Yamamoto, Kazuhiro, Takahiro Seki, Naoko Adachi, et al.. (2010). Mutant protein kinase C gamma that causes spinocerebellar ataxia type 14 (SCA14) is selectively degraded by autophagy. Genes to Cells. 15(5). 425–438. 21 indexed citations
9.
10.
Tanaka, Shigeru, et al.. (2009). The Gs-Linked Receptor GPR3 Inhibits the Proliferation of Cerebellar Granule Cells during Postnatal Development. PLoS ONE. 4(6). e5922–e5922. 30 indexed citations
11.
Tanaka, Shigeru, Ken J. Ishii, Kazue Kasai, Sung Ok Yoon, & Yoshinaga Saeki. (2007). Neural Expression of G Protein-coupled Receptors GPR3, GPR6, and GPR12 Up-regulates Cyclic AMP Levels and Promotes Neurite Outgrowth. Journal of Biological Chemistry. 282(14). 10506–10515. 110 indexed citations
12.
Mehlmann, Lisa M., Yoshinaga Saeki, Shigeru Tanaka, et al.. (2004). The G s -Linked Receptor GPR3 Maintains Meiotic Arrest in Mammalian Oocytes. Science. 306(5703). 1947–1950. 264 indexed citations
13.
Kitagawa, Kazuo, Yoshiki Yagita, Tsutomu Sasaki, et al.. (2004). Cerebral ischemia and apoptosis. Nosotchu. 26(4). 508–512. 2 indexed citations
14.
Kitagawa, Kazuo, Masayasu Matsumoto, Keisuke Kuwabara, et al.. (2002). Protective effect of apolipoprotein E against ischemic neuronal injury is mediated through antioxidant action. Journal of Neuroscience Research. 68(2). 226–232. 35 indexed citations
15.
Tanaka, Shigeru, Kazuo Kitagawa, Toshiho Ohtsuki, et al.. (2001). Synergistic induction of HSP40 and HSC70 in the mouse hippocampal neurons after cerebral ischemia and ischemic tolerance in gerbil hippocampus. Journal of Neuroscience Research. 67(1). 37–47. 29 indexed citations
16.
Kitagawa, Kazuo, Toshiho Ohtsuki, Keisuke Kuwabara, et al.. (2000). Regional difference of neuronal vulnerability in the murine hippocampus after transient forebrain ischemia. Brain Research. 870(1-2). 195–198. 32 indexed citations
17.
Ishikawa, Akira, et al.. (1994). Validity of the Cross Test to Evaluate the Equilibrium Function Test. 21(3). 186–194.
18.
Tashiro, Masato, et al.. (1993). Antibody against the Carboxyl Terminus of the F2 Subunit of Sendai Virus Fusion Glycoprotein Inhibits Proteolytic Activation. Virology. 194(2). 882–885. 5 indexed citations
19.
Yamakado, Minoru, et al.. (1988). Extrarenal Role of Aldosterone in the Regulation of Blood Pressure. American Journal of Hypertension. 1(3 Pt 1). 276–279. 2 indexed citations
20.
Tanaka, Shigeru, et al.. (1983). A Possible Case of Toxic Shock Syndrome. Kansenshogaku zasshi. 57(5). 448–453. 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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