Keiko Takasu

1.0k citations
29 papers · 877 · h-index 15

Impact in

Papers in

Keiko Takasu

29 papers receiving 859 citations

Peers

Keiko Takasu
Comparison fields: 5 of 74
  • Physiology 598
  • Cellular and Molecular Neuroscience 273
  • Anesthesiology and Pain Medicine 53
  • Sensory Systems 40
  • Neurology 109
Replace Kwan Yeop Lee with:
Kwan Yeop Lee United States
Laura Corradini Germany
Yohji Fukazawa Japan
Rafi A. Khan United Kingdom
Mathias Leinders Germany
Magdalena Żychowska Poland
TL Yaksh United States
Kim Sun Ho United States
Jaroslava Buritova France
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Citations per field
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Citations per year

Countries citing papers authored by Keiko Takasu

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Takasu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Keiko Takasu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Keiko Takasu Line = papers co-authored together Keiko Takasu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005117
2 2008106
3 200892
4 200782
5 201057
6 200653
7 200848
8 200845
9 200638
10 201636
11 200728
12 201124
13 200520
14 201415
15 200514
16 201414
17 201612
18 202112
19 201511
20 201510

About Keiko Takasu

Keiko Takasu is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience and Surgery, having authored 29 papers that have together received 877 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (19 papers), Neuroscience and Neuropharmacology Research (10 papers), Ion channel regulation and function (9 papers), Memory and Neural Mechanisms (3 papers), Neuropeptides and Animal Physiology (3 papers), Neural dynamics and brain function (2 papers), Cancer Treatment and Pharmacology (2 papers) and Botulinum Toxin and Related Neurological Disorders (2 papers). The work is most often cited by research in Physiology (598 citations), Cellular and Molecular Neuroscience (273 citations), Anesthesiology and Pain Medicine (53 citations), Sensory Systems (40 citations) and Neurology (109 citations). Keiko Takasu has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Mitsuo Tanabe, Hideki Ono, Yuichi Takeuchi, Motoko Honda, Kazuya Saitoh, Shinobu Shimizu, Koichi Ogawa, Daisuke Kodama, Sachiko Yamaguchi and Minoru Hasegawa. Their work appears in journals such as British Journal of Pharmacology, European Journal of Pharmacology, Pain, European Journal of Pain and Journal of Pharmacological Sciences.

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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