Satoshi Wakisaka

5.7k citations
191 papers · 4.8k indexed · h-index 34
Topics
Neuropeptides and Animal Physiology (58 papers)Pain Mechanisms and Treatments (34 papers)Bone and Dental Protein Studies (20 papers)
Partner nations
JapanUnited StatesEgypt

In The Last Decade

Satoshi Wakisaka

189 papers receiving 4.7k citations

Peers

Satoshi Wakisaka
Comparison fields: 5 of 135
  • Molecular Biology 2.1k
  • Cellular and Molecular Neuroscience 1.9k
  • Physiology 1.8k
  • Rheumatology 595
  • Surgery 454
Replace Kaj Fried with:
Kaj Fried Sweden
Hideshige Moriya Japan
Margaret R. Byers United States
Takeyasu Maeda Japan
Masaki Noda Japan
Tsuneyuki Yamamoto Japan
Itai Bab Israel
Timothy M. Skerry United Kingdom
Andris Kreicbergs Sweden
Jan A. Fischer Switzerland
Satoshi Wakisaka relative to Kaj Fried Sweden Kaj Fried's profile →
Citations per field
00.5×3.9×
Kaj Fried · 1×
Citations per year

Countries citing papers authored by Satoshi Wakisaka

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Wakisaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Wakisaka

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Wakisaka. A scholar is included among the top collaborators of Satoshi Wakisaka 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 Satoshi Wakisaka. Satoshi Wakisaka 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 2
2 51
3 4
4 20
5 10
6 63
7 26
8 5
9 26
10 14
11 5
12 13
13 64
14 9
15 99
16 52
17 21
18 9
19 8
20 3

About Satoshi Wakisaka

Satoshi Wakisaka is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Physiology, having authored 191 papers that have together received 4.8k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (58 papers), Pain Mechanisms and Treatments (34 papers) and Bone and Dental Protein Studies (20 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.9k citations), Physiology (1.8k citations) and Sensory Systems (265 citations). Satoshi Wakisaka has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Keith C. Kajander, Gary J. Bennett, Kojiro Kurisu, Michio Akai, S.H. Youn, Takashi Maeda, H. Ichikawa, Sadashige Matsuo, Hayato Ohshima and Takeyasu Maeda. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

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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