Satoshi Terada

3.0k citations
112 papers · 2.2k · h-index 24

Impact in

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 27
    • Protein Hydrolysis and Bioactive Peptides 9
    • Pancreatic function and diabetes 8

Satoshi Terada

108 papers receiving 2.1k citations

Peers

Satoshi Terada
Comparison fields: 5 of 133
  • Biomaterials 476
  • General Dentistry 32
  • Cellular and Molecular Neuroscience 330
  • Cognitive Neuroscience 336
  • Orthopedics and Sports Medicine 136
Replace Paolo Rama with:
Paolo Rama Italy
Ju Youn Lee South Korea
Dorothy M. Supp United States
Rudolf E. Leube Germany
Jacques P. Tremblay Canada
David L. Becker United Kingdom
Mitchell A. Watsky United States
Ying Qian China
Hua Gu China
Johannes Kacza Germany
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 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002211
2 2005115
3 2017115
4 2012111
5 2013107
6 200586
7 201185
8 202084
9 201376
10 202176
11 201261
12 201759
13 201651
14 201249
15 200048
16 202143
17 202142
18 200440
19 202138
20 199234

About Satoshi Terada

Satoshi Terada is a scholar working on Molecular Biology, Surgery, Biomaterials, Genetics and Cellular and Molecular Neuroscience, having authored 112 papers that have together received 2.2k indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (27 papers), Silk-based biomaterials and applications (16 papers), Neuroscience and Neuropharmacology Research (9 papers), Protein Hydrolysis and Bioactive Peptides (9 papers), Pancreatic function and diabetes (8 papers), Memory and Neural Mechanisms (8 papers), Immunotherapy and Immune Responses (6 papers) and Mesenchymal stem cell research (6 papers). The work is most often cited by research in Biomaterials (476 citations), General Dentistry (32 citations), Cellular and Molecular Neuroscience (330 citations), Cognitive Neuroscience (336 citations) and Orthopedics and Sports Medicine (136 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 Tetsuo Kobayashi. Their work appears in journals such as The Journal of Immunology, Neuron, Clinical Anatomy, Applied Physics Letters and Cancer 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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