Y. Miyakawa

2.3k total citations · 1 hit paper
7 papers, 2.0k citations indexed

About

Y. Miyakawa is a scholar working on Epidemiology, Hepatology and Infectious Diseases. According to data from OpenAlex, Y. Miyakawa has authored 7 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 7 papers in Hepatology and 1 paper in Infectious Diseases. Recurrent topics in Y. Miyakawa's work include Hepatitis B Virus Studies (7 papers), Hepatitis C virus research (7 papers) and Liver Disease Diagnosis and Treatment (3 papers). Y. Miyakawa is often cited by papers focused on Hepatitis B Virus Studies (7 papers), Hepatitis C virus research (7 papers) and Liver Disease Diagnosis and Treatment (3 papers). Y. Miyakawa collaborates with scholars based in Japan, United States and Indonesia. Y. Miyakawa's co-authors include Hiroaki Okamoto, S Okada, Yuichi Sugiyama, Kiyohiko Kurai, M Mayumi, Toru Tanaka, Y. Akahane, Fumio Tsuda, Koei Sato and Yoshiki Sugai and has published in prestigious journals such as Clinical Infectious Diseases and Journal of General Virology.

In The Last Decade

Y. Miyakawa

7 papers receiving 1.9k citations

Hit Papers

Typing hepatitis C virus by polymerase chain reaction wit... 1992 2026 2003 2014 1992 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Y. Miyakawa Japan 7 1.9k 1.6k 282 200 189 7 2.0k
Kiyohiko Kurai Japan 6 2.0k 1.1× 1.7k 1.0× 331 1.2× 269 1.3× 175 0.9× 17 2.1k
George Kuo United States 6 1.6k 0.9× 1.4k 0.8× 133 0.5× 253 1.3× 114 0.6× 7 1.8k
Inmaculada Castillo Spain 30 2.2k 1.2× 2.0k 1.2× 295 1.0× 93 0.5× 235 1.2× 93 2.6k
Koei Sato Japan 9 1.2k 0.6× 1.0k 0.6× 253 0.9× 169 0.8× 94 0.5× 12 1.4k
Shunichi Okada Japan 10 1.2k 0.6× 942 0.6× 196 0.7× 184 0.9× 128 0.7× 14 1.3k
Tai‐An Cha United States 7 1.1k 0.6× 1.1k 0.7× 104 0.4× 125 0.6× 170 0.9× 7 1.4k
H. Iizuka Japan 20 2.2k 1.2× 2.1k 1.3× 183 0.6× 224 1.1× 430 2.3× 24 2.6k
Qui-Lim Choo United States 12 2.9k 1.5× 2.4k 1.5× 278 1.0× 557 2.8× 186 1.0× 12 3.1k
Harvey J. Alter United States 6 1.9k 1.0× 1.7k 1.1× 154 0.5× 175 0.9× 329 1.7× 7 2.4k
Ann Wyseur Belgium 8 1.3k 0.7× 1.1k 0.7× 153 0.5× 126 0.6× 351 1.9× 10 1.5k

Countries citing papers authored by Y. Miyakawa

Since Specialization
Citations

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

Fields of papers citing papers by Y. Miyakawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. Miyakawa

This figure shows the co-authorship network connecting the top 25 collaborators of Y. Miyakawa. A scholar is included among the top collaborators of Y. Miyakawa 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 Y. Miyakawa. Y. Miyakawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Sugauchi, Fuminaka, H Kumada, Hiroshi Sakugawa, et al.. (2004). Two Subtypes of Genotype B (Ba and Bj) of Hepatitis B Virus in Japan. Clinical Infectious Diseases. 38(9). 1222–1228. 61 indexed citations
2.
Tokita, Hajime, Hiroaki Okamoto, H. Iizuka, et al.. (1996). Hepatitis C virus variants from Jakarta, Indonesia classifiable into novel genotypes in the second (2e and 2f), tenth (10a) and eleventh (11a) genetic groups. Journal of General Virology. 77(2). 293–301. 138 indexed citations
3.
Tokita, Hajime, Hiroaki Okamoto, Pairoj Luengrojanakul, et al.. (1995). Hepatitis C virus variants from Thailand classifiable into five novel genotypes in the sixth (6b), seventh (7c, 7d) and ninth (9b, 9c) major genetic groups. Journal of General Virology. 76(9). 2329–2335. 89 indexed citations
4.
Okamoto, Hiroaki, Yuan Wang, Toru Tanaka, et al.. (1993). Trans-complementation among naturally occurring deletion mutants of hepatitis B virus and integrated viral DNA for the production of viral particles with mutant genomes in hepatoma cell lines. Journal of General Virology. 74(3). 407–414. 23 indexed citations
5.
Okamoto, Hiroaki, Yuichi Sugiyama, S Okada, et al.. (1992). Typing hepatitis C virus by polymerase chain reaction with type-specific primers: application to clinical surveys and tracing infectious sources. Journal of General Virology. 73(3). 673–679. 1123 indexed citations breakdown →
6.
Okamoto, Hiroaki, S Okada, Yuichi Sugiyama, et al.. (1991). Nucleotide sequence of the genomic RNA of hepatitis C virus isolated from a human carrier: comparison with reported isolates for conserved and divergent regions. Journal of General Virology. 72(11). 2697–2704. 429 indexed citations
7.
Okamoto, Hiroaki, Masayuki Imai, Yuji Hoshi, et al.. (1986). Nucleotide Sequence of a Cloned Hepatitis B Virus Genome, Subtype ayr: Comparison with Genomes of the Other Three Subtypes. Journal of General Virology. 67(11). 2305–2314. 147 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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