Takayoshi Mamiya

4.5k citations
141 papers · 3.6k indexed · h-index 35
Topics
Neuroscience and Neuropharmacology Research (31 papers)Receptor Mechanisms and Signaling (28 papers)Quantum, superfluid, helium dynamics (25 papers)

In The Last Decade

Takayoshi Mamiya

138 papers receiving 3.5k citations

Peers

Takayoshi Mamiya
Comparison fields: 5 of 125
  • Cellular and Molecular Neuroscience 1.7k
  • Molecular Biology 1.5k
  • Physiology 774
  • Biological Psychiatry 366
  • Pharmacology 351
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Scott E. Hemby United States
Mark M. Rasenick United States
Marc Flajolet United States
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Irina N. Krasnova United States
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Eric Prinssen Switzerland
Ulrich Schmitt Germany
Takashi Uehara Japan
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Takayoshi Mamiya relative to Scott E. Hemby United States Scott E. Hemby's profile →
Citations per field
00.5×1.6×
Scott E. Hemby · 1×
Citations per year

Countries citing papers authored by Takayoshi Mamiya

Since Specialization
Citations

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

Fields of papers citing papers by Takayoshi Mamiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takayoshi Mamiya

This figure shows the co-authorship network connecting the top 25 collaborators of Takayoshi Mamiya. A scholar is included among the top collaborators of Takayoshi Mamiya 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 Takayoshi Mamiya. Takayoshi Mamiya 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
#WorkIndexed citations
1 4
2 0
3 2
4 15
5 28
6 44
7 70
8 31
9 48
10 32
11 85
12 46
13 28
14 47
15 54
16 21
17 2
18 21
19 59
20 12

About Takayoshi Mamiya

Takayoshi Mamiya is a scholar working on Biological Psychiatry, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 141 papers that have together received 3.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (31 papers), Receptor Mechanisms and Signaling (28 papers) and Quantum, superfluid, helium dynamics (25 papers). The work is most often cited by research in Biological Psychiatry (366 citations), Cellular and Molecular Neuroscience (1.7k citations) and Behavioral Neuroscience (281 citations). Takayoshi Mamiya has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Toshitaka Nabeshima, Yukihiro Noda, Akihiro Mouri, Kiyofumi Yamada, Makoto Ukai, Taku Nagai, Masayuki Hiramatsu, Hiroshi Takeshima, Hyoung‐Chun Kim and Ping Lü. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

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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