Satoshi Shiojiri
- Physiology top 2%
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 10%
- Pharmacology top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- Hirataka ItoNobuya KitaguchiYasuyuki TakahashiYasuo TokushimaShigenobu NakamuraMasakuni KameyamaSeigo TanakaKunihiro Ueda
- Topics
- Alzheimer's disease research and treatments (7 papers)Prion Diseases and Protein Misfolding (6 papers)S100 Proteins and Annexins (2 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Satoshi Shiojiri
15 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Physiology 1.2k
- Molecular Biology 1.0k
- Cellular and Molecular Neuroscience 242
- Pharmacology 211
- Computational Theory and Mathematics 173
Countries citing papers authored by Satoshi Shiojiri
This map shows the geographic impact of Satoshi Shiojiri'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 Shiojiri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Shiojiri more than expected).
Fields of papers citing papers by Satoshi Shiojiri
This network shows the impact of papers produced by Satoshi Shiojiri. 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 Shiojiri. The network helps show where Satoshi Shiojiri may publish in the future.
Co-authorship network of co-authors of Satoshi Shiojiri
This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Shiojiri. A scholar is included among the top collaborators of Satoshi Shiojiri 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 Satoshi Shiojiri. Satoshi Shiojiri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 186 | |
| 2 | 5 | |
| 3 | Identification, characterization, and cloning of TIP-B1, a novel protein inhibitor of tumor necrosis factor-induced lysis. | 18 |
| 4 | 2 | |
| 5 | 45 | |
| 6 | 36 | |
| 7 | 48 | |
| 8 | 124 | |
| 9 | 26 | |
| 10 | Novel precursor of Alzheimer's disease amyloid protein shows protease inhibitory activitybreakdown → | 905 |
| 11 | 114 | |
| 12 | 46 | |
| 13 | 22 | |
| 14 | 52 | |
| 15 | Studies on the effects of mutagens on cultured cells of higher plants. II. Radiosensitivity in callus tissues of Phaseolus vulgaris L. cv. Kentucky Wonder. | 1 |
| 16 | 12 |
About Satoshi Shiojiri
Satoshi Shiojiri is a scholar working on Physiology, Molecular Biology and Immunology, having authored 16 papers that have together received 1.6k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Prion Diseases and Protein Misfolding (6 papers) and S100 Proteins and Annexins (2 papers). The work is most often cited by research in Physiology (1.2k citations), Sensory Systems (80 citations) and Molecular Biology (1.0k citations). Satoshi Shiojiri has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Hirataka Ito, Nobuya Kitaguchi, Yasuyuki Takahashi, Yasuo Tokushima, Shigenobu Nakamura, Masakuni Kameyama, Seigo Tanaka, Kunihiro Ueda, Yoshihiro Sokawa and Rikiro Fukunaga. Their work appears in journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.
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.