Masahiko Terada

843 citations
29 papers · 730 indexed · h-index 14
Topics
Pain Mechanisms and Treatments (11 papers)Nerve injury and regeneration (7 papers)Botulinum Toxin and Related Neurological Disorders (4 papers)
Partner nations
JapanUnited States

In The Last Decade

Masahiko Terada

29 papers receiving 714 citations

Peers

Masahiko Terada
Comparison fields: 5 of 80
  • Physiology 378
  • Cellular and Molecular Neuroscience 277
  • Neurology 190
  • Cell Biology 142
  • Molecular Biology 138
Replace Sang Su Oh with:
Sang Su Oh United States
Wendy J. Brewster United Kingdom
Yoshiyuki Mitsui Japan
A. A. F. Sima United States
Malle Kuum Estonia
Knut H. Lauritzen Norway
Deborah Holstein United States
Gregor Tomasevic Sweden
Mona Bains United States
Marcus F. Keep United States
Masahiko Terada relative to Sang Su Oh United States Sang Su Oh's profile →
Citations per field
00.5×1.5×
Sang Su Oh · 1×
Citations per year

Countries citing papers authored by Masahiko Terada

Since Specialization
Citations

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

Fields of papers citing papers by Masahiko Terada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masahiko Terada

This figure shows the co-authorship network connecting the top 25 collaborators of Masahiko Terada. A scholar is included among the top collaborators of Masahiko Terada 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 Masahiko Terada. Masahiko Terada 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 7
2
A case of neuronal intranuclear hyaline inclusion disease presenting polyneuropathy, episodic vomitting, neurogenic bladder dysfunction and leukoencephalopathy
1
3 202
4 3
5 20
6 11
7 26
8 11
9 50
10 25
11 15
12 31
13 18
14 13
15 18
16 6
17 2
18 64
19 15
20 25

About Masahiko Terada

Masahiko Terada is a scholar working on Cellular and Molecular Neuroscience, Physiology and Neurology, having authored 29 papers that have together received 730 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (11 papers), Nerve injury and regeneration (7 papers) and Botulinum Toxin and Related Neurological Disorders (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (277 citations), Physiology (378 citations) and Neurology (190 citations). Masahiko Terada has collaborated with scholars based in Japan and United States. Frequent co-authors include Hitoshi Yasuda, Ryuichi Kikkawa, Kengo Maeda, Masakazu Haneda, Atsunori Kashiwagi, Mitsuru Sanada, Yukio Shigeta, Ikuo Hatanaka, Masanobu Sonobe and Ryuichi Kikkawa. Their work appears in journals such as Diabetes, Biochemical and Biophysical Research Communications and Journal of Neurochemistry.

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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