Kan Miyoshi

1.7k citations
28 papers · 1.3k · h-index 20

Impact in

Papers in

Kan Miyoshi

28 papers receiving 1.3k citations

Peers

Kan Miyoshi
Comparison fields: 5 of 79
  • Physiology 806
  • Cellular and Molecular Neuroscience 569
  • Behavioral Neuroscience 99
  • Anesthesiology and Pain Medicine 76
  • Neurology 103
Replace Mitsuo Tanabe with:
Mitsuo Tanabe Japan
Yoshinori Yajima Japan
Ruth Drdla-Schutting Austria
Jing‐Shi Tang China
Teresa Pélissier Chile
Chia‐Chuan Wang Taiwan
Jing‐Xia Hao Sweden
Yu‐Lin Dong China
Patrick L. Sheets United States
Jian‐Tian Qiao China
Kan Miyoshi relative to Mitsuo Tanabe Japan Mitsuo Tanabe's profile →
Citations per field
00.5×1.5×1.8×
Mitsuo Tanabe · 1×
Citations per year

Countries citing papers authored by Kan Miyoshi

Since Specialization
Citations

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

Fields of papers citing papers by Kan Miyoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kan Miyoshi, 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 Kan Miyoshi Line = papers co-authored together Kan Miyoshi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008238
2 2005236
3 200791
4 200677
5 201473
6 200369
7 201168
8 200862
9 200839
10 201137
11 200832
12 198932
13 200631
14 200630
15 200725
16 200824
17 200823
18 200623
19 200620
20 200820

About Kan Miyoshi

Kan Miyoshi is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Neurology and Cognitive Neuroscience, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (21 papers), Neuroscience and Neuropharmacology Research (9 papers), Neuropeptides and Animal Physiology (8 papers), Ion channel regulation and function (4 papers), Receptor Mechanisms and Signaling (3 papers), Pharmacological Receptor Mechanisms and Effects (3 papers), Botulinum Toxin and Related Neurological Disorders (2 papers) and Plant-based Medicinal Research (2 papers). The work is most often cited by research in Physiology (806 citations), Cellular and Molecular Neuroscience (569 citations), Behavioral Neuroscience (99 citations), Anesthesiology and Pain Medicine (76 citations) and Neurology (103 citations). Kan Miyoshi has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Tsutomu Suzuki, Minoru Narita, Koichi Noguchi, Takashi Kondo, Koichi Obata, Haruki Okamura, Naoko Kuzumaki, Yasuyuki Nagumo, Mayumi Nakajima and Chihiro Kaneko. Their work appears in journals such as Neuroscience, Life Sciences, Pain, Neuropsychopharmacology and Bioorganic & Medicinal Chemistry 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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