Masaya Sugiyama

9.2k total citations
163 papers, 3.7k citations indexed

About

Masaya Sugiyama is a scholar working on Epidemiology, Hepatology and Infectious Diseases. According to data from OpenAlex, Masaya Sugiyama has authored 163 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Epidemiology, 105 papers in Hepatology and 26 papers in Infectious Diseases. Recurrent topics in Masaya Sugiyama's work include Hepatitis C virus research (97 papers), Hepatitis B Virus Studies (94 papers) and Liver Disease Diagnosis and Treatment (54 papers). Masaya Sugiyama is often cited by papers focused on Hepatitis C virus research (97 papers), Hepatitis B Virus Studies (94 papers) and Liver Disease Diagnosis and Treatment (54 papers). Masaya Sugiyama collaborates with scholars based in Japan, United States and France. Masaya Sugiyama's co-authors include Masashi Mizokami, Yasuhito Tanaka, Takaji Wakita, Koichi Watashi, Ryuzo Ueda, Fuat Kurbanov, Yasuaki Dohi, Kiyoaki Ito, Kazumoto Murata and Senko Tsukuda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Masaya Sugiyama

155 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masaya Sugiyama Japan 33 2.5k 2.2k 631 506 450 163 3.7k
Zania Stamataki United Kingdom 26 1.6k 0.6× 1.7k 0.8× 515 0.8× 596 1.2× 654 1.5× 63 3.4k
Takeya Tsutsumi Japan 33 2.9k 1.2× 2.7k 1.2× 1.1k 1.8× 335 0.7× 305 0.7× 94 4.3k
Mitsuhiko Moriyama Japan 30 2.7k 1.1× 2.9k 1.3× 689 1.1× 243 0.5× 440 1.0× 221 4.9k
Jake T. Liang United States 29 3.8k 1.5× 3.2k 1.4× 560 0.9× 516 1.0× 518 1.2× 40 4.8k
David Wong Canada 30 3.8k 1.5× 3.7k 1.7× 440 0.7× 890 1.8× 569 1.3× 126 5.6k
Artur Kaul Germany 21 1.7k 0.7× 2.0k 0.9× 744 1.2× 380 0.8× 566 1.3× 35 3.0k
Amir Shlomai Israel 29 2.4k 1.0× 1.4k 0.7× 1.1k 1.7× 288 0.6× 348 0.8× 74 3.8k
Martin Lagging Sweden 32 2.8k 1.1× 3.2k 1.5× 363 0.6× 353 0.7× 528 1.2× 116 4.1k
Junqi Niu China 40 2.9k 1.2× 2.5k 1.1× 1.5k 2.4× 993 2.0× 699 1.6× 267 5.7k
Mirjam B. Zeisel France 41 2.8k 1.1× 3.0k 1.3× 1.3k 2.0× 682 1.3× 366 0.8× 92 5.1k

Countries citing papers authored by Masaya Sugiyama

Since Specialization
Citations

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

Fields of papers citing papers by Masaya Sugiyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaya Sugiyama

This figure shows the co-authorship network connecting the top 25 collaborators of Masaya Sugiyama. A scholar is included among the top collaborators of Masaya Sugiyama 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 Masaya Sugiyama. Masaya Sugiyama 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.
Hashimoto, Rina, Yukio Watanabe, Masaya Sugiyama, et al.. (2025). Human iPS cell–derived respiratory organoids as a model for respiratory syncytial virus infection. Life Science Alliance. 8(7). e202402837–e202402837. 2 indexed citations
2.
Sakai, Aiko, et al.. (2024). Necrotic Change of Tunica Media Plays a Key Role in the Development of Coronary Artery Lesions in Kawasaki Disease. Circulation Journal. 88(10). 1709–1714. 3 indexed citations
3.
Sugiyama, Masaya. (2023). Tools and factors predictive of the severity of COVID-19. Global Health & Medicine. 5(2). 78–84. 2 indexed citations
4.
Takahama, Shokichi, Sachiyo Yoshio, Ryotaro Sakamori, et al.. (2023). Hepatitis B surface antigen reduction is associated with hepatitis B core-specific CD8+ T cell quality. Frontiers in Immunology. 14. 1257113–1257113. 7 indexed citations
5.
6.
Kikuchi, Masataka, Kaori Kobayashi, Nao Nishida, et al.. (2021). Genome-wide copy number variation analysis of hepatitis B infection in a Japanese population. Human Genome Variation. 8(1). 22–22. 1 indexed citations
7.
Fong, Tse–Ling, Brian T. Lee, Bo‐Ram Bang, et al.. (2020). High Prevalence of Chronic Viral Hepatitis and Liver Fibrosis Among Mongols in Southern California. Digestive Diseases and Sciences. 66(8). 2833–2839. 13 indexed citations
8.
Takayama, Yuki & Masaya Sugiyama. (2020). AGGLOMERATION PATTERNS IN NEW ECONOMIC GEOGRAPHY MODELS TO EVALUATE THE IMPACT OF TRANSPORT INFRASTRUCTURE IMPROVEMENTS. Journal of Japan Society of Civil Engineers Ser D3 (Infrastructure Planning and Management). 76(2). 100–113. 1 indexed citations
9.
Imai, Shinobu, Hayato Yamana, Manabu Akazawa, et al.. (2019). Validity of administrative database detection of previously resolved hepatitis B virus in Japan. Journal of Medical Virology. 91(11). 1944–1948. 8 indexed citations
10.
Komatsu, Haruki, Ayano Inui, Yasuto Suzuki, Masaya Sugiyama, & Tomoo Fujisawa. (2019). Deep sequencing of hepatitis B surface antigen gene in the preserved umbilical cords in immunoprophylaxis failure against mother-to-child HBV transmission. BMC Infectious Diseases. 19(1). 985–985. 5 indexed citations
11.
Watanabe, Noriyuki, Tomoko Date, Hideki Aizaki, et al.. (2019). Establishment of infectious genotype 4 cell culture-derived hepatitis C virus. Journal of General Virology. 101(2). 188–197. 4 indexed citations
12.
Nishida, Nao, Masaya Sugiyama, Hiromi Sawai, et al.. (2018). Key HLA‐DRB1‐DQB1 haplotypes and role of the BTNL2 gene for response to a hepatitis B vaccine. Hepatology. 68(3). 848–858. 45 indexed citations
13.
Iwamoto, Masashi, Dawei Cai, Masaya Sugiyama, et al.. (2017). Functional association of cellular microtubules with viral capsid assembly supports efficient hepatitis B virus replication. Scientific Reports. 7(1). 10620–10620. 41 indexed citations
14.
Adachi, Eisuke, Masaya Sugiyama, Sayaka Shimizu, et al.. (2016). Human immunodeficiency virus and hepatitis B genotype G/A2 recombinant co-infection: a case study. SpringerPlus. 5(1). 1502–1502. 4 indexed citations
15.
Murata, Kazumoto, Mai Asano, Akihiro Matsumoto, et al.. (2016). Induction of IFN-λ3 as an additional effect of nucleotide, not nucleoside, analogues: a new potential target for HBV infection. Gut. 67(2). 362–371. 132 indexed citations
16.
Nishitsuji, Hironori, Saneyuki Ujino, Sachiyo Yoshio, et al.. (2016). Long noncoding RNA #32 contributes to antiviral responses by controlling interferon-stimulated gene expression. Proceedings of the National Academy of Sciences. 113(37). 10388–10393. 72 indexed citations
17.
18.
Watanabe, Tsunamasa, Fuminaka Sugauchi, Yasuhito Tanaka, et al.. (2012). Hepatitis C virus kinetics by administration of pegylated interferon-α in human and chimeric mice carrying human hepatocytes with variants of theIL28Bgene. Gut. 62(9). 1340–1346. 18 indexed citations
19.
Nakano, Tatsunori, et al.. (2011). An updated analysis of hepatitis C virus genotypes and subtypes based on the complete coding region. Liver International. 32(2). 339–345. 99 indexed citations
20.
Sugiyama, Masaya, Kentaro Matsuura, Fuat Kurbanov, et al.. (2010). High sensitivity assay using serum sample for IL28B genotyping to predict treatment response in chronic hepatitis C patients. Hepatology Research. 40(10). 956–962. 13 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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