Haruo Nakayama

1.1k citations
85 papers · 796 · h-index 18

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
  • Epidemiology top 10%
    • Fungal Infections and Studies
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

    • Liver Disease Diagnosis and Treatment 11
    • Fungal Infections and Studies 9
    • Hepatitis B Virus Studies 8

Haruo Nakayama

73 papers receiving 781 citations

Peers

Haruo Nakayama
Comparison fields: 5 of 82
  • Hepatology 153
  • Epidemiology 338
  • Infectious Diseases 187
  • Small Animals 43
  • Genetics 45
Replace V. Tricottet with:
V. Tricottet France
Norma R. Moore United Kingdom
Humphrey Hodgson United Kingdom
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Takafumi Fukui Japan
I Montfort Mexico
Joseph B. Lillegard United States
Danuta Januszkiewicz‐Lewandowska Poland
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Citations per field
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V. Tricottet · 1×
Citations per year

Countries citing papers authored by Haruo Nakayama

Since Specialization
Citations

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

Fields of papers citing papers by Haruo Nakayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Haruo Nakayama, 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 Haruo Nakayama Line = papers co-authored together Haruo Nakayama links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201174
2 201146
3 200644
4
Infection with GB virus C in patients with chronic liver disease.
199738
5 201230
6 202028
7 201527
8 201327
9 201026
10 201326
11 201225
12 199724
13 200420
14 201920
15
Predictive factors for recurrence after percutaneous ethanol injection for solitary hepatocellular carcinoma.
199720
16 201819
17 201418
18 201917
19 201316
20 200916

About Haruo Nakayama

Haruo Nakayama is a scholar working on Epidemiology, Surgery, Infectious Diseases, Pulmonary and Respiratory Medicine and Hepatology, having authored 85 papers that have together received 796 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (11 papers), Liver Disease Diagnosis and Treatment (11 papers), Fungal Infections and Studies (9 papers), Hepatitis C virus research (9 papers), Hepatitis B Virus Studies (8 papers), Glioma Diagnosis and Treatment (8 papers), Mycotoxins in Agriculture and Food (5 papers) and Plant Pathogens and Fungal Diseases (5 papers). The work is most often cited by research in Hepatology (153 citations), Epidemiology (338 citations), Infectious Diseases (187 citations), Small Animals (43 citations) and Genetics (45 citations). Haruo Nakayama has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Kazutoshi Shibuya, Yoichiro Okubo, Megumi Wakayama, Daisuke Sasai, Minoru Shinozaki, Tetsuo Nemoto, Takao Ishiwatari, Yoshiki Sugai, Tomoyuki Yokose and Kanako Kitahara. Their work appears in journals such as Journal of Medical Virology, Diagnostic Pathology, Neuro-Oncology Advances, PLoS ONE and Cancers.

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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