Shoko Tada

420 total citations
10 papers, 359 citations indexed

About

Shoko Tada is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Shoko Tada has authored 10 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 2 papers in Pharmacology. Recurrent topics in Shoko Tada's work include Receptor Mechanisms and Signaling (7 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Neuroscience and Neuropharmacology Research (3 papers). Shoko Tada is often cited by papers focused on Receptor Mechanisms and Signaling (7 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Neuroscience and Neuropharmacology Research (3 papers). Shoko Tada collaborates with scholars based in Japan, United Kingdom and Norway. Shoko Tada's co-authors include Mitsuyuki Matsumoto, Kazuyuki Hidaka, Tokio Yamaguchi, Yoshikazu Tasaki, Hiraku Akiho, Masamichí Okada, Junya Ohmori, Shinji Usuda, Tsuneo Yamaguchi and Toshiyasu Mase and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Medicinal Chemistry and Journal of Neurochemistry.

In The Last Decade

Shoko Tada

10 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shoko Tada Japan 9 235 187 61 46 41 10 359
Marjut Olasmaa Sweden 10 286 1.2× 239 1.3× 45 0.7× 22 0.5× 35 0.9× 15 449
Sankar Baruah United States 14 242 1.0× 197 1.1× 82 1.3× 28 0.6× 14 0.3× 20 518
D BONHAUS United States 6 206 0.9× 209 1.1× 56 0.9× 24 0.5× 19 0.5× 7 438
R L Burger United States 9 208 0.9× 183 1.0× 125 2.0× 27 0.6× 15 0.4× 10 417
Ethan S. Burstein United States 7 233 1.0× 293 1.6× 133 2.2× 33 0.7× 13 0.3× 8 476
Cornelia Poulopoulou Greece 13 132 0.6× 148 0.8× 41 0.7× 40 0.9× 9 0.2× 22 367
Michael Lewis United States 11 180 0.8× 147 0.8× 37 0.6× 34 0.7× 37 0.9× 18 425
Marcus Spann United States 8 282 1.2× 262 1.4× 34 0.6× 82 1.8× 47 1.1× 18 504
Marija Milenković Serbia 13 175 0.7× 163 0.9× 36 0.6× 43 0.9× 21 0.5× 44 456
E. Peralta United States 9 257 1.1× 135 0.7× 58 1.0× 22 0.5× 8 0.2× 11 366

Countries citing papers authored by Shoko Tada

Since Specialization
Citations

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

Fields of papers citing papers by Shoko Tada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoko Tada

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

All Works

10 of 10 papers shown
1.
Kasahara, Akinori, et al.. (2014). Cronkhite–Canada syndrome showing elevated levels of antinuclear and anticentromere antibody. Clinical Journal of Gastroenterology. 8(1). 29–34. 9 indexed citations
2.
Takahashi, Tomoko, et al.. (2006). Activation of P2Y receptor enhances high-molecular compound absorption from rat ileum. Journal of Pharmacy and Pharmacology. 58(2). 195–200. 12 indexed citations
3.
Hidaka, Kazuyuki, Shoko Tada, Mitsuyuki Matsumoto, et al.. (1996). In vitro pharmacological profile of YM‐43611, a novel D2‐like receptor antagonist with high affinity and selectivity for dopamine D3 and D4 receptors. British Journal of Pharmacology. 117(8). 1625–1632. 18 indexed citations
4.
Matsumoto, Mitsuyuki, Kazuyuki Hidaka, Hiraku Akiho, et al.. (1996). Low stringency hybridization study of the dopamine D4 receptor revealed D4-like mRNA distribution of the orphan seven-transmembrane receptor, APJ, in human brain. Neuroscience Letters. 219(2). 119–122. 56 indexed citations
5.
Matsumoto, Mitsuyuki, Kazuyuki Hidaka, Shoko Tada, Yoshikazu Tasaki, & Tokio Yamaguchi. (1996). Low Levels of mRNA for Dopamine D4 Receptor in Human Cerebral Cortex and Striatum. Journal of Neurochemistry. 66(3). 915–919. 80 indexed citations
6.
Hidaka, Kazuyuki, et al.. (1996). YM-50001. Neuroreport. 7(15). 2543–2546. 11 indexed citations
8.
Hidaka, Kazuyuki, Mitsuyuki Matsumoto, Shoko Tada, Yoshikazu Tasaki, & Tokio Yamaguchi. (1995). Differential effects of [3H]nemonapride and [3H]spiperone binding on human dopamine D4 receptors. Neuroscience Letters. 186(2-3). 145–148. 8 indexed citations
9.
Matsumoto, Mitsuyuki, Kazuyuki Hidaka, Shoko Tada, Yoshikazu Tasaki, & Tokio Yamaguchi. (1995). Full-length cDNA cloning and distribution of human dopamine D4 receptor. Molecular Brain Research. 29(1). 157–162. 124 indexed citations
10.
Matsumoto, Mitsuyuki, et al.. (1995). Polymorphic Tandem Repeats in Dopamine D4 Receptor Are Spread over Primate Species. Biochemical and Biophysical Research Communications. 207(1). 467–475. 18 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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