Hiroshi Yotsuyanagi

9.3k citations
232 papers · 5.5k indexed · 3 hit papers · h-index 38
  • Hepatology top 0.2%
    • Hepatitis C virus research 101
    • Hepatitis Viruses Studies and Epidemiology 16
  • Epidemiology top 0.5%
    • Hepatitis B Virus Studies 82
    • Liver Disease Diagnosis and Treatment 79
    • SARS-CoV-2 and COVID-19 Research 21
    • COVID-19 Clinical Research Studies 17
    • Viral gastroenteritis research and epidemiology 11
  • Virology top 5%
  • Immunology top 5%
    • HIV-related health complications and treatments 10

Hiroshi Yotsuyanagi

214 papers receiving 5.4k citations

Hit Papers

Effic...461997202620062016250500750

Peers

Hiroshi Yotsuyanagi
Comparison fields: 5 of 126
  • Hepatology 3.0k
  • Epidemiology 3.3k
  • Infectious Diseases 1.1k
  • Virology 125
  • Immunology 473
Replace Junqi Niu with:
Junqi Niu China
Robert Flisiak Poland
Kyoji Moriya Japan
Martin Lagging Sweden
Chihiro Morishima United States
Gilles Duverlie France
Nicola Coppola Italy
Takeya Tsutsumi Japan
Stuart K. Roberts Australia
Paul J. Pockros United States
Hiroshi Yotsuyanagi relative to Junqi Niu China Junqi Niu's profile →
Citations per field
00.5×1.6×
Junqi Niu · 1×
Citations per year

Countries citing papers authored by Hiroshi Yotsuyanagi

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Yotsuyanagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Hiroshi Yotsuyanagi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hiroshi Yotsuyanagi Line = papers co-authored together Hiroshi Yotsuyanagi links everyone, so they are left out of the graph.

All Works

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19 202013
20 201911

About Hiroshi Yotsuyanagi

Hiroshi Yotsuyanagi is a scholar working on Hepatology, Epidemiology and Infectious Diseases, having authored 232 papers that have together received 5.5k indexed citations. Recurring topics across this work include Hepatitis C virus research (101 papers), Hepatitis B Virus Studies (82 papers), Liver Disease Diagnosis and Treatment (79 papers), SARS-CoV-2 and COVID-19 Research (21 papers), COVID-19 Clinical Research Studies (17 papers), Hepatitis Viruses Studies and Epidemiology (16 papers), Viral gastroenteritis research and epidemiology (11 papers) and HIV-related health complications and treatments (10 papers). The work is most often cited by research in Hepatology (3.0k citations), Epidemiology (3.3k citations) and Infectious Diseases (1.1k citations). Hiroshi Yotsuyanagi has collaborated with scholars based in Japan, United States and Croatia. Frequent co-authors include Kazuhiko Koike, Kyoji Moriya, Hajime Fujie, Takeya Tsutsumi, Tatsuo Miyamura, Yoshizumi Shintani, Yoshiharu Matsuura, Satoshi Kimura, Kotaro Ishibashi and Yukako Shintani‐Domoto. Their work appears in journals such as Hepatology Research, Journal of Gastroenterology, Journal of Medical Virology, Hepatology and Alcoholism Clinical and Experimental Research.

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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