Yoshio Sakai

9.8k total citations · 1 hit paper
317 papers, 7.6k citations indexed

About

Yoshio Sakai is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Hepatology. According to data from OpenAlex, Yoshio Sakai has authored 317 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Electrical and Electronic Engineering, 52 papers in Molecular Biology and 52 papers in Hepatology. Recurrent topics in Yoshio Sakai's work include Semiconductor materials and devices (36 papers), Advancements in Semiconductor Devices and Circuit Design (35 papers) and Liver Disease Diagnosis and Treatment (33 papers). Yoshio Sakai is often cited by papers focused on Semiconductor materials and devices (36 papers), Advancements in Semiconductor Devices and Circuit Design (35 papers) and Liver Disease Diagnosis and Treatment (33 papers). Yoshio Sakai collaborates with scholars based in Japan, United States and Ghana. Yoshio Sakai's co-authors include Fred Shafizadeh, Masao Honda, Allan G. W. Bradbury, Taro Yamashita, Shuichi Kaneko, Shuichi Kaneko, Eishiro Mizukoshi, Tatsuya Yamashita, Kuniaki Arai and Yasunari Nakamoto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

Yoshio Sakai

306 papers receiving 7.4k citations

Hit Papers

A kinetic model for pyrol... 1979 2026 1994 2010 1979 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoshio Sakai Japan 44 1.8k 1.4k 1.3k 1.2k 1.2k 317 7.6k
Jingfeng Liu China 47 2.8k 1.6× 766 0.6× 585 0.5× 3.0k 2.5× 578 0.5× 360 8.1k
Weilin Wang China 48 3.1k 1.8× 1.1k 0.8× 1.2k 1.0× 1.3k 1.0× 1.4k 1.2× 437 9.3k
Kim Js South Korea 44 2.3k 1.3× 481 0.4× 1.5k 1.2× 745 0.6× 242 0.2× 405 9.2k
Yan Liu China 55 4.3k 2.4× 321 0.2× 1.5k 1.2× 2.4k 2.0× 621 0.5× 400 11.4k
Rong Liu China 42 3.3k 1.8× 1.1k 0.8× 838 0.7× 555 0.5× 538 0.5× 447 8.5k
Zhiyuan Hu China 40 2.6k 1.5× 324 0.2× 290 0.2× 1.8k 1.5× 586 0.5× 280 6.9k
Robert W. Thompson United States 52 989 0.6× 302 0.2× 630 0.5× 717 0.6× 1.9k 1.7× 207 9.7k
Shunsuke Mori Japan 41 837 0.5× 272 0.2× 1.2k 0.9× 227 0.2× 726 0.6× 233 6.3k
Kenshi Hayashi Japan 40 4.1k 2.3× 207 0.2× 417 0.3× 1.6k 1.3× 661 0.6× 267 9.1k
Chun‐Ming Wong Hong Kong 51 6.7k 3.8× 633 0.5× 776 0.6× 385 0.3× 839 0.7× 130 9.6k

Countries citing papers authored by Yoshio Sakai

Since Specialization
Citations

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

Fields of papers citing papers by Yoshio Sakai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoshio Sakai

This figure shows the co-authorship network connecting the top 25 collaborators of Yoshio Sakai. A scholar is included among the top collaborators of Yoshio Sakai 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 Yoshio Sakai. Yoshio Sakai 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.
Okada, Hikari, Alessandro Nasti, Yoshio Sakai, et al.. (2025). Evaluation of Long-Read RNA Sequencing Procedures for Novel Isoform Identification and Quantification in Human Whole Blood. Genes. 16(9). 1075–1075.
2.
Yamashita, Taro, Taro Yamashita, Hajime Sunagozaka, et al.. (2022). Dickkopf-1 Promotes Angiogenesis and is a Biomarker for Hepatic Stem Cell-like Hepatocellular Carcinoma. International Journal of Molecular Sciences. 23(5). 2801–2801. 23 indexed citations
3.
Iida, Noriho, Eishiro Mizukoshi, Tatsuya Yamashita, et al.. (2021). Chronic liver disease enables gut Enterococcus faecalis colonization to promote liver carcinogenesis. Nature Cancer. 2(10). 1039–1054. 55 indexed citations
5.
Nasti, Alessandro, Akihiro Seki, Takuya Komura, et al.. (2020). Combination of gemcitabine and anti-PD-1 antibody enhances the anticancer effect of M1 macrophages and the Th1 response in a murine model of pancreatic cancer liver metastasis. Journal for ImmunoTherapy of Cancer. 8(2). e001367–e001367. 86 indexed citations
6.
Shirasaki, Takayoshi, Masao Honda, Tetsuro Shimakami, et al.. (2018). Peretinoin, an Acyclic Retinoid, Inhibits Hepatitis B Virus Replication by Suppressing Sphingosine Metabolic Pathway In Vitro. International Journal of Molecular Sciences. 19(2). 108–108. 7 indexed citations
7.
Terashima, Takeshi, Tatsuya Yamashita, Tatsuya Yamashita, et al.. (2015). Post‐progression survival and progression‐free survival in patients with advanced hepatocellular carcinoma treated by sorafenib. Hepatology Research. 46(7). 650–656. 43 indexed citations
8.
Terashima, Takeshi, Tatsuya Yamashita, Noriho Iida, et al.. (2014). Blood neutrophil to lymphocyte ratio as a predictor in patients with advanced hepatocellular carcinoma treated with hepatic arterial infusion chemotherapy. Hepatology Research. 45(9). 949–959. 45 indexed citations
9.
Honda, Masao, Akihiro Tanaka, Yoshimoto Nomura, et al.. (2013). Association of Interleukin-28B Genotype and Hepatocellular Carcinoma Recurrence in Patients with Chronic Hepatitis C. Clinical Cancer Research. 19(7). 1827–1837. 55 indexed citations
10.
Komura, Takuya, Yoshio Sakai, Masao Honda, et al.. (2013). ER stress induced impaired TLR signaling and macrophage differentiation of human monocytes. Cellular Immunology. 282(1). 44–52. 21 indexed citations
11.
Okada, Hikari, Masao Honda, Jean S. Campbell, et al.. (2012). Acyclic Retinoid Targets Platelet-Derived Growth Factor Signaling in the Prevention of Hepatic Fibrosis and Hepatocellular Carcinoma Development. Cancer Research. 72(17). 4459–4471. 48 indexed citations
12.
Honda, Masao, Akito Sakai, Tatsuya Yamashita, et al.. (2010). Hepatic ISG Expression Is Associated With Genetic Variation in Interleukin 28B and the Outcome of IFN Therapy for Chronic Hepatitis C. Gastroenterology. 139(2). 499–509. 331 indexed citations
14.
Yang, Jing, Peter L. G. Ventzek, Yoshio Sakai, et al.. (1997). Step and Pulsed Responses of RF Discharges. 1 indexed citations
15.
Yamanaka, Toshiaki, et al.. (1987). A Folded Resistor and Capacitor (FRC) Static Memory Cell with Triple Poly-Si Structures. Symposium on VLSI Technology. 101–102. 4 indexed citations
16.
Sakai, Yoshio, et al.. (1984). Itaconic Acid Fermentation of Lavoglucosan. Journal of Fermentation Technology. 62(2). 201–203. 38 indexed citations
17.
Sakai, Yoshio, et al.. (1984). A Buried Giga-Ohm Resistor(BGR) Load Static RAM Cell. Symposium on VLSI Technology. 6–7. 1 indexed citations
18.
Aoki, Masashi, et al.. (1983). Operation of Bulk CMOS Devices at Very Low Temperatures. Symposium on VLSI Technology. 46–47. 21 indexed citations
19.
Sakai, Yoshio, et al.. (1982). Topography Dependent Step Coverage Resistance Simulation for VLSI Design. Symposium on VLSI Technology. 60–61. 2 indexed citations
20.
Cochran, Todd G., et al.. (1979). Application of pyrolytic methods for the saccharification of cellulose. 5 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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