Ryuji Terayama

1.4k citations
53 papers · 1.2k · h-index 20

Impact in

Papers in

Ryuji Terayama

52 papers receiving 1.2k citations

Peers

Ryuji Terayama
Comparison fields: 5 of 84
  • Physiology 640
  • Cellular and Molecular Neuroscience 420
  • Sensory Systems 70
  • Developmental Neuroscience 56
  • Neurology 98
Replace Masanori Nasu with:
Masanori Nasu Japan
Jami L. Saloman United States
Dipti V. Tillu United States
Andrew Moss United Kingdom
Shaogen Wu United States
Benjamı́n Torrejón-Escribano Spain
Lingli Liang China
Cristian G. Acosta Argentina
Vijayan Gangadharan Germany
Manuela Simonetti Germany
Ryuji Terayama relative to Masanori Nasu Japan Masanori Nasu's profile →
Citations per field
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Masanori Nasu · 1×
Citations per year

Countries citing papers authored by Ryuji Terayama

Since Specialization
Citations

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

Fields of papers citing papers by Ryuji Terayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002123
2 200289
3 200081
4 200279
5 200879
6 200655
7 200251
8 200343
9 200443
10 201536
11 200635
12 200832
13 200630
14 201830
15 200727
16 200226
17 200724
18 200523
19 200623
20 199720

About Ryuji Terayama

Ryuji Terayama is a scholar working on Cellular and Molecular Neuroscience, Physiology, Neurology, Sensory Systems and Neurology, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (27 papers), Nerve injury and regeneration (13 papers), Botulinum Toxin and Related Neurological Disorders (10 papers), Ion channel regulation and function (10 papers), Neuropeptides and Animal Physiology (10 papers), Neuroscience and Neuropharmacology Research (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Ion Channels and Receptors (5 papers). The work is most often cited by research in Physiology (640 citations), Cellular and Molecular Neuroscience (420 citations), Sensory Systems (70 citations), Developmental Neuroscience (56 citations) and Neurology (98 citations). Ryuji Terayama has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Ronald A. Dubner, Ke Ren, Yun Guan, Tomosada Sugimoto, Shigetaka Yoshida, Yoshio Bandô, Tomoichirou Yamaai, Haruto Ichikawa, Ke Ren and Seiji Iida. Their work appears in journals such as Brain Research, Neuroscience Research, Neuroscience, Neurochemical Research and Experimental Brain Research.

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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