Akiyoshi Saitoh

2.1k total citations
73 papers, 1.7k citations indexed

About

Akiyoshi Saitoh is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Akiyoshi Saitoh has authored 73 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Cellular and Molecular Neuroscience, 31 papers in Molecular Biology and 21 papers in Physiology. Recurrent topics in Akiyoshi Saitoh's work include Neuropeptides and Animal Physiology (25 papers), Neuroscience and Neuropharmacology Research (20 papers) and Pain Mechanisms and Treatments (16 papers). Akiyoshi Saitoh is often cited by papers focused on Neuropeptides and Animal Physiology (25 papers), Neuroscience and Neuropharmacology Research (20 papers) and Pain Mechanisms and Treatments (16 papers). Akiyoshi Saitoh collaborates with scholars based in Japan, United States and Poland. Akiyoshi Saitoh's co-authors include Junzo Kamei, Mitsuhiko Yamada, Hiroshi Nagase, Misa Yamada, Yuji Yoshikawa, Tomohiko Suzuki, Jun-Ichiro Oka, Azusa Sugiyama, Chihiro Nozaki and Shigeo Miyata and has published in prestigious journals such as PLoS ONE, Scientific Reports and Brain Research.

In The Last Decade

Akiyoshi Saitoh

71 papers receiving 1.7k citations

Peers

Akiyoshi Saitoh
Comparison fields: 5 of 94
  • Cellular and Molecular Neuroscience 951
  • Molecular Biology 760
  • Physiology 486
  • Behavioral Neuroscience 219
  • Cognitive Neuroscience 187
Replace Hai‐Yin Wu with:
Hai‐Yin Wu China
Flavia Saravia Argentina
Che‐Se Tung Taiwan
Jinbin Tian United States
Jan J. Braszko Poland
Kazuki Nagayasu Japan
Pao‐Luh Tao Taiwan
Marti Santiago Spain
Jue He China
Hai‐Yin Wu China View profile →
Citations per field, relative to Akiyoshi Saitoh
Akiyoshi Saitoh · 1×
Citations per year, relative to Akiyoshi Saitoh
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Countries citing papers authored by Akiyoshi Saitoh

Since Specialization
Citations

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

Fields of papers citing papers by Akiyoshi Saitoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akiyoshi Saitoh

This figure shows the co-authorship network connecting the top 25 collaborators of Akiyoshi Saitoh. A scholar is included among the top collaborators of Akiyoshi Saitoh 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 Akiyoshi Saitoh. Akiyoshi Saitoh 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 16
2 8
3 14
4 8
5 8
6 6
7 21
8 15
9 17
10 25
11 22
12 27
13 33
14 19
15 5
16 63
17 55
18 38
19 13
20 30

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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