Koichi Tan‐No

4.6k total citations
181 papers, 3.9k citations indexed

About

Koichi Tan‐No is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, Koichi Tan‐No has authored 181 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Cellular and Molecular Neuroscience, 86 papers in Physiology and 69 papers in Molecular Biology. Recurrent topics in Koichi Tan‐No's work include Pain Mechanisms and Treatments (75 papers), Neuropeptides and Animal Physiology (70 papers) and Receptor Mechanisms and Signaling (33 papers). Koichi Tan‐No is often cited by papers focused on Pain Mechanisms and Treatments (75 papers), Neuropeptides and Animal Physiology (70 papers) and Receptor Mechanisms and Signaling (33 papers). Koichi Tan‐No collaborates with scholars based in Japan, Sweden and Poland. Koichi Tan‐No's co-authors include Osamu Nakagawasai, Kensuke Kisara, Tsukasa Sakurada, Takeshi Tadano, Shinobu Sakurada, Wataru Nemoto, Fukie Niijima, Chikai Sakurada, Kohei Takahashi and Lars Terenius and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Brain Research.

In The Last Decade

Koichi Tan‐No

179 papers receiving 3.8k citations

Peers

Koichi Tan‐No
Comparison fields: 5 of 125
  • Cellular and Molecular Neuroscience 1.8k
  • Physiology 1.6k
  • Molecular Biology 1.5k
  • Sensory Systems 314
  • Neurology 298
Replace Theo Meert with:
Theo Meert Belgium
Junzo Kamei Japan
Osamu Nakagawasai Japan
Takeshi Tadano Japan
Nobuyoshi Nishiyama Japan
Hong‐Won Suh South Korea
Catherine M. Cahill Canada
Carlos Fernando Mello Brazil
Paul L. Chazot United Kingdom
Vito de Novellis Italy
Theo Meert Belgium View profile →
Citations per field, relative to Koichi Tan‐No
Koichi Tan‐No · 1×
Citations per year, relative to Koichi Tan‐No
Koichi Tan‐No · 1×

Countries citing papers authored by Koichi Tan‐No

Since Specialization
Citations

This map shows the geographic impact of Koichi Tan‐No'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 Koichi Tan‐No with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi Tan‐No more than expected).

Fields of papers citing papers by Koichi Tan‐No

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Koichi Tan‐No. 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 Koichi Tan‐No. The network helps show where Koichi Tan‐No may publish in the future.

Co-authorship network of co-authors of Koichi Tan‐No

This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Tan‐No. A scholar is included among the top collaborators of Koichi Tan‐No 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 Koichi Tan‐No. Koichi Tan‐No 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
# Work Indexed citations
1 3
2 9
3 3
4 11
5 32
6 74
7 29
8 7
9 4
10 28
11 28
12
1
13 75
14 7
15 3
16 5
17 17
18 24
19 19
20 22

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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