Satoshi Yuasa

677 total citations
34 papers, 598 citations indexed

About

Satoshi Yuasa is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Satoshi Yuasa has authored 34 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Infectious Diseases and 11 papers in Epidemiology. Recurrent topics in Satoshi Yuasa's work include HIV/AIDS drug development and treatment (13 papers), HIV Research and Treatment (8 papers) and Hepatitis B Virus Studies (6 papers). Satoshi Yuasa is often cited by papers focused on HIV/AIDS drug development and treatment (13 papers), HIV Research and Treatment (8 papers) and Hepatitis B Virus Studies (6 papers). Satoshi Yuasa collaborates with scholars based in Japan, Belgium and United States. Satoshi Yuasa's co-authors include Masanori Baba, Masaru Ubasawa, Yoshimasa Sakakibara, Kohei Umezu, Kouichi Sekiya, Hideaki Takashima, Erik De Clercq, Richard Walker, Shirô Shigeta and Takuro Niwa and has published in prestigious journals such as Biochemical and Biophysical Research Communications, FEBS Letters and Journal of Medicinal Chemistry.

In The Last Decade

Satoshi Yuasa

32 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Satoshi Yuasa Japan 13 280 197 180 179 161 34 598
K Konno Japan 11 190 0.7× 387 2.0× 87 0.5× 73 0.4× 144 0.9× 23 591
Julie Q. Hang United States 16 340 1.2× 228 1.2× 165 0.9× 238 1.3× 257 1.6× 20 718
Xuanyong Lu United States 16 145 0.5× 473 2.4× 51 0.3× 319 1.8× 246 1.5× 26 781
S. Shane Taremi United States 11 159 0.6× 217 1.1× 47 0.3× 359 2.0× 250 1.6× 14 712
C. Majumdar United States 8 199 0.7× 63 0.3× 208 1.2× 33 0.2× 307 1.9× 11 514
Garry Lund Canada 12 75 0.3× 232 1.2× 37 0.2× 152 0.8× 122 0.8× 21 501
Parvin S. Ahmed United Kingdom 7 119 0.4× 139 0.7× 127 0.7× 100 0.6× 137 0.9× 7 563
Grégory Camus United States 17 312 1.1× 490 2.5× 288 1.6× 455 2.5× 270 1.7× 32 1.1k
Lotte Coelmont Belgium 9 154 0.6× 219 1.1× 42 0.2× 293 1.6× 187 1.2× 19 494

Countries citing papers authored by Satoshi Yuasa

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Yuasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Yuasa

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Yuasa. A scholar is included among the top collaborators of Satoshi Yuasa 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 Yuasa. Satoshi Yuasa 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
1.
Wada, Atsushi, Shingo Yoshizawa, Satoshi Yuasa, & Hideki Sugimoto. (2021). Simultaneous Multi-points Measurement in Underwater Acoustic Localization. 1–2. 2 indexed citations
2.
Kim, Dave, Tomohito Sudare, Takumi Nakanishi, et al.. (2018). Flux-Mediated Topochemical Growth of Platelet-Shaped Perovskite LiNbO3 Single Crystals from Layered Potassium Niobate Crystals. Crystal Growth & Design. 18(7). 4111–4116. 3 indexed citations
3.
Iwase, Yumiko, et al.. (2002). Antiviral Activities of MCC-478, a Novel and Specific Inhibitor of Hepatitis B Virus. Antimicrobial Agents and Chemotherapy. 46(9). 2872–2877. 23 indexed citations
4.
Nitanda, Takao, et al.. (2001). Three-Drug Combinations of Emivirine and Nucleoside Reverse Transcriptase Inhibitors in Vitro: Long-Term Culture of HIV-1-Infected Cells and Breakthrough Viruses. Antiviral chemistry & chemotherapy. 12(3). 161–167. 6 indexed citations
5.
Yamada, Kazunori, Akiko Mori, Makoto Seki, et al.. (1998). Critical Point Mutations for Hepatitis C Virus NS3 Proteinase. Virology. 246(1). 104–112. 10 indexed citations
6.
Kajino, Kazunori, Satoshi Yuasa, Tomoko Takahara, et al.. (1997). Evaluation of Anti-Hepatitis B Virus (HBV) Drugs Using the HBV Transgenic Mouse: Application of the Semiquantitative Polymerase Chain Reaction (PCR) for Serum HBV DNA to Monitor the Drug Efficacy. Biochemical and Biophysical Research Communications. 241(1). 43–48. 10 indexed citations
7.
Piras, Giovanna, et al.. (1997). Three-drug combination of MKC-442, lamivudine and zidovudine in vitro. AIDS. 11(4). 469–475. 12 indexed citations
8.
Mori, Akiko, et al.. (1997). The N-Terminal Region of NS3 Serine Proteinase of Hepatitis C Virus Is Important to Maintain Its Enzymatic Integrity. Biochemical and Biophysical Research Communications. 231(3). 738–742. 4 indexed citations
9.
Okamoto, Mika, et al.. (1996). Complete inhibition of viral breakthrough by combination of MKC-442 with AZT during a long-term culture of HIV-1-infected cells. Antiviral Research. 31(1-2). 69–77. 12 indexed citations
10.
Ishii, Takehisa, Maki Sato, Masayuki Suzuki, et al.. (1995). Hepatocyte Growth Factor Stimulates Liver Regeneration and Elevates Blood Protein Level in Normal and Partially Hepatectomized Rats. The Journal of Biochemistry. 117(5). 1105–1112. 104 indexed citations
11.
Baba, Masanori, H. TANAKA, T. MIYASAKA, et al.. (1995). ChemInform Abstract: HEPT Derivatives: 6‐Benzyl‐1‐ethoxymethyl‐5‐isopropyluracil (MKC‐442).. ChemInform. 26(40). 1 indexed citations
12.
Yuasa, Satoshi, et al.. (1993). Selective and synergistic inhibition of human immunodeficiency virus type 1 reverse transcriptase by a non-nucleoside inhibitor, MKC-442.. Molecular Pharmacology. 44(4). 895–900. 44 indexed citations
13.
Yuasa, Satoshi, et al.. (1991). Peptide mapping of neutralizing and nonneutralizing epitopes of duck hepatitis B virus pre-S polypeptide. Virology. 181(1). 14–21. 27 indexed citations
14.
Umezu, Kohei, et al.. (1986). Suppressive effect of tritoqualine (TRQ) on the acceleration of fibrosis in the liver.. Folia Pharmacologica Japonica. 87(3). 291–300. 2 indexed citations
15.
Yuasa, Satoshi, et al.. (1986). Effect of tritoqualine (TRQ) on the bile secretion in rats.. Folia Pharmacologica Japonica. 87(3). 265–271. 2 indexed citations
16.
Yuasa, Satoshi, et al.. (1986). Suppressive Effects of Tritoqualine on Cell Growth and Collagen Secretion in Fibroblasts. The Japanese Journal of Pharmacology. 40(2). 339–341.
17.
Umezu, Kohei, Satoshi Yuasa, & Atsushi Ichikawa. (1986). Inhibitory mechanism of tritoqualine on histamine release from mast cells. Biochemical Pharmacology. 35(18). 3137–3142. 2 indexed citations
18.
Umezu, Kohei, et al.. (1985). Prophylactic effect of tritoqualine (TRQ) on the CCl4-induced chronic liver injury model in rats.. Folia Pharmacologica Japonica. 85(3). 185–192. 6 indexed citations
19.
Yuasa, Satoshi, et al.. (1985). Effect of tritoqualine on liver regeneration after partial hepatectomy in rats.. Folia Pharmacologica Japonica. 85(5). 387–395. 1 indexed citations
20.
Yuasa, Satoshi, et al.. (1985). Therapeutic effect of TRQ on chronic liver injury model in rats induced by CCl4.. Folia Pharmacologica Japonica. 85(4). 249–257. 3 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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