Satoshi Shiojiri

2.0k total citations · 1 hit paper
16 papers, 1.6k citations indexed

About

Satoshi Shiojiri is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Satoshi Shiojiri has authored 16 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Physiology and 4 papers in Immunology. Recurrent topics in Satoshi Shiojiri's work include Alzheimer's disease research and treatments (7 papers), Prion Diseases and Protein Misfolding (6 papers) and S100 Proteins and Annexins (2 papers). Satoshi Shiojiri is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Prion Diseases and Protein Misfolding (6 papers) and S100 Proteins and Annexins (2 papers). Satoshi Shiojiri collaborates with scholars based in Japan, United States and Germany. Satoshi Shiojiri's co-authors include Hirataka Ito, Nobuya Kitaguchi, Yasuyuki Takahashi, Yasuo Tokushima, Shigenobu Nakamura, Masakuni Kameyama, Seigo Tanaka, Kunihiro Ueda, Rikiro Fukunaga and Yoshihiro Sokawa and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Satoshi Shiojiri

15 papers receiving 1.6k citations

Hit Papers

Novel precursor of Alzheimer's disease amyloid protein sh... 1988 2026 2000 2013 1988 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Satoshi Shiojiri Japan 13 1.2k 1.0k 242 211 173 16 1.6k
Yasuo Tokushima Japan 9 1.1k 0.9× 828 0.8× 221 0.9× 191 0.9× 150 0.9× 21 1.4k
Jean‐Marc Roch United States 14 873 0.8× 768 0.8× 304 1.3× 217 1.0× 115 0.7× 18 1.3k
Hiroshi Tanahashi Japan 18 613 0.5× 626 0.6× 199 0.8× 151 0.7× 77 0.4× 31 1.1k
Stephen P. Trusko United States 17 758 0.7× 1.2k 1.2× 261 1.1× 190 0.9× 133 0.8× 22 2.1k
Gregg L. Caporaso United States 11 738 0.6× 534 0.5× 243 1.0× 191 0.9× 109 0.6× 12 1.0k
Georges Lévesque Canada 18 778 0.7× 787 0.8× 233 1.0× 204 1.0× 89 0.5× 43 1.3k
An Herreman Belgium 12 919 0.8× 850 0.8× 334 1.4× 282 1.3× 126 0.7× 13 1.7k
J. Miller United States 6 886 0.8× 938 0.9× 351 1.5× 153 0.7× 119 0.7× 6 1.4k
Adele M. Pauley United States 10 1.1k 1.0× 1.2k 1.2× 203 0.8× 496 2.4× 342 2.0× 11 2.0k
An Snellinx Belgium 16 776 0.7× 1.1k 1.1× 465 1.9× 175 0.8× 130 0.8× 24 2.0k

Countries citing papers authored by Satoshi Shiojiri

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

16 of 16 papers shown
1.
Muramatsu, Shuji, M. Wakabayashi, Takeshi Ohno, et al.. (2007). Functional Gene Screening System Identified TRPV4 as a Regulator of Chondrogenic Differentiation. Journal of Biological Chemistry. 282(44). 32158–32167. 186 indexed citations
2.
Harada, Takeo, Kazuo Yano, Florence L. Stahura, et al.. (2007). Virtual Screening Leads to the Discovery of an Effective Antagonist of Lymphocyte Function‐Associated Antigen‐1. ChemMedChem. 2(4). 515–521. 5 indexed citations
3.
Nadadur, Srikanth S., et al.. (1999). Identification, characterization, and cloning of TIP-B1, a novel protein inhibitor of tumor necrosis factor-induced lysis.. PubMed. 59(21). 5497–506. 18 indexed citations
4.
Suenaga, Toshihiko, Ichiro Akiguchi, Shigenobu Nakamura, et al.. (1992). Immunohistochemical localization of the proteinase inhibitor region of amyloid precursor proteins in the neocortex of Alzheimer's disease and aged controls. Acta Neuropathologica. 84(3). 244–9. 2 indexed citations
5.
Tanaka, Seigo, Li Liu, Jun Kimura, et al.. (1992). Age-related changes in the proportion of amyloid precursor protein mRNAs in Alzheimer's disease and other neurological disorders. Molecular Brain Research. 15(3-4). 303–310. 45 indexed citations
6.
Kitaguchi, Nobuya, Yasuo Tokushima, Yasuyuki Takahashi, et al.. (1990). Determination of amyloid β protein precursors harboring active form of proteinase inhibitor domains in cerebrospinal fluid of Alzheimer's disease patients by trypsin-antibody sandwich ELISA. Biochemical and Biophysical Research Communications. 166(3). 1453–1459. 36 indexed citations
7.
Kitaguchi, Nobuya, et al.. (1990). Enzyme specificity of proteinase inhibitor region in amyloid precursor protein of Alzheimer's disease: different properties compared with protease nexin I. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1038(1). 105–113. 48 indexed citations
8.
Tanaka, Shigeru, Satoshi Shiojiri, Nobuya Kitaguchi, et al.. (1989). Tissue-specific expression of three types of β-protein precursor mRNA: Enhancement of protease inhibitor-harboring types in Alzheimer's disease brain. Biochemical and Biophysical Research Communications. 165(3). 1406–1414. 124 indexed citations
9.
Shirai, Takashi, et al.. (1988). Cloning and Expression in Escherichia coli of the Gene for Mouse Tumor Necrosis Factor. DNA. 7(3). 193–201. 26 indexed citations
10.
Tanaka, Seigo, Shigenobu Nakamura, Kunihiro Ueda, et al.. (1988). Three types of amyloid protein precursor mRNA in human brain: Their differential expression in Alzheimer's disease. Biochemical and Biophysical Research Communications. 157(2). 472–479. 114 indexed citations
11.
Kitaguchi, Nobuya, Yasuyuki Takahashi, Yasuo Tokushima, Satoshi Shiojiri, & Hirataka Ito. (1988). Novel precursor of Alzheimer's disease amyloid protein shows protease inhibitory activity. Nature. 331(6156). 530–532. 905 indexed citations breakdown →
12.
Shirai, Takashi, Satoshi Shiojiri, Hirataka Ito, et al.. (1988). Gene Structure of Human Thrombomodulin, a Cofactor for Thrombin Catalyzed Activation of Protein C1. The Journal of Biochemistry. 103(2). 281–285. 46 indexed citations
13.
Shiojiri, Satoshi, et al.. (1986). Structure and Expression of a Cloned cDNA for Human (2′-5′)Oligoadenylate Synthetase1. The Journal of Biochemistry. 99(5). 1455–1464. 22 indexed citations
14.
Fukunaga, Rikiro, et al.. (1986). Mouse 2–5A synthetase cDNA: nucleotide sequence and comparison to human 2–5A synthetase. Nucleic Acids Research. 14(24). 10117–10117. 52 indexed citations
15.
Mori, Satoshi, et al.. (1980). Studies on the effects of mutagens on cultured cells of higher plants. II. Radiosensitivity in callus tissues of Phaseolus vulgaris L. cv. Kentucky Wonder.. 1–7. 1 indexed citations
16.
Matsubara, Satoshi, et al.. (1977). Synthesis and cytokinin activity of (R)-(+)- and (S)-(−)-dihydrozeatins and their ribosides. Phytochemistry. 16(7). 933–937. 12 indexed citations

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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