Mayu Higuchi

1.4k citations
37 papers · 583 · h-index 17

Impact in

  • Hepatology top 2%
    • Hepatitis C virus research
    • Liver Disease and Transplantation
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Diseases and Immunity
  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies

Papers in

    • Hepatitis C virus research 16
    • Hepatocellular Carcinoma Treatment and Prognosis 10
    • Liver Disease and Transplantation 7
    • Liver Diseases and Immunity 4
    • Liver Disease Diagnosis and Treatment 26
    • Hepatitis B Virus Studies 16

Mayu Higuchi

37 papers receiving 578 citations

Peers

Mayu Higuchi
Comparison fields: 5 of 61
  • Hepatology 407
  • Epidemiology 433
  • Geriatrics and Gerontology 18
  • Endocrinology, Diabetes and Metabolism 46
  • Physiology 66
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Mayu Higuchi relative to Kenta Takaura Japan Kenta Takaura's profile →
Citations per field
00.5×2.7×
Kenta Takaura · 1×
Citations per year

Countries citing papers authored by Mayu Higuchi

Since Specialization
Citations

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

Fields of papers citing papers by Mayu Higuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201848
2 202145
3 201941
4 201638
5 201838
6 202138
7 201528
8 201927
9 201923
10 201822
11 201519
12 201718
13 201917
14 202417
15 201516
16 201816
17 201616
18 202113
19 201910
20 202010

About Mayu Higuchi

Mayu Higuchi is a scholar working on Hepatology, Epidemiology, Pulmonary and Respiratory Medicine, Infectious Diseases and Molecular Biology, having authored 37 papers that have together received 583 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (26 papers), Hepatitis B Virus Studies (16 papers), Hepatitis C virus research (16 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Liver Disease and Transplantation (7 papers), Liver Diseases and Immunity (4 papers), Cancer, Lipids, and Metabolism (3 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Hepatology (407 citations), Epidemiology (433 citations), Geriatrics and Gerontology (18 citations), Endocrinology, Diabetes and Metabolism (46 citations) and Physiology (66 citations). Mayu Higuchi has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masayuki Kurosaki, Yutaka Yasui, Hiroyuki Nakanishi, Nobuharu Tamaki, Namiki Izumi, Yuka Takahashi, Jun Itakura, Kenta Takaura, Kaoru Tsuchiya and Hitomi Takada. Their work appears in journals such as PLoS ONE, Journal of Gastroenterology and Hepatology, Hepatology Research, International Journal of Molecular Sciences and Journal of Medical Virology.

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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