Satoshi Terada

3.0k citations
92 papers · 2.0k · h-index 24

Impact in

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 23
    • RNA Interference and Gene Delivery 5
    • Pancreatic function and diabetes 7

Satoshi Terada

90 papers receiving 1.9k citations

Peers

Satoshi Terada
Comparison fields: 5 of 130
  • Biomaterials 394
  • General Dentistry 32
  • Cellular and Molecular Neuroscience 323
  • Cognitive Neuroscience 328
  • Orthopedics and Sports Medicine 108
Replace Paolo Rama with:
Paolo Rama Italy
Ju Youn Lee South Korea
A. M. Kelly United States
Theo Hafmans Netherlands
Jin Hao China
Athar N. Malik United States
Rudolf E. Leube Germany
Mitchell A. Watsky United States
Dorothy M. Supp United States
Tetsuya Goto Japan
Satoshi Terada relative to Paolo Rama Italy Paolo Rama's profile →
Citations per field
00.5×10×16×
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Citations per year

Countries citing papers authored by Satoshi Terada

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Terada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002195
2 2017108
3 2012107
4 2005104
5 201395
6 202083
7 201180
8 200577
9 202175
10 201373
11 201261
12 201759
13 201645
14 201244
15 200043
16 202143
17 202141
18 202137
19 200434
20 202130

About Satoshi Terada

Satoshi Terada is a scholar working on Molecular Biology, Surgery, Cellular and Molecular Neuroscience, Genetics and Cognitive Neuroscience, having authored 92 papers that have together received 2.0k indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (23 papers), Neuroscience and Neuropharmacology Research (9 papers), Silk-based biomaterials and applications (8 papers), Memory and Neural Mechanisms (8 papers), Pancreatic function and diabetes (7 papers), Immunotherapy and Immune Responses (6 papers), RNA Interference and Gene Delivery (5 papers) and Mesenchymal stem cell research (5 papers). The work is most often cited by research in Biomaterials (394 citations), General Dentistry (32 citations), Cellular and Molecular Neuroscience (323 citations), Cognitive Neuroscience (328 citations) and Orthopedics and Sports Medicine (108 citations). Satoshi Terada has collaborated with scholars based in Japan, United States and Grenada. Frequent co-authors include Masahiro Sasaki, Hideyuki Yamada, Freddie H. Fu, Johnny Huard, Kana Yanagihara, Shusuke Ota, Yoshio Sakurai, Shigeyoshi Fujisawa, Hiroyuki Nakahara and Hidemitsu Kitamura. Their work appears in journals such as Clinical Anatomy, Neuron, The Journal of Immunology, Biochemical Engineering Journal and Applied Physics 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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