Mao Okada

683 citations
16 papers · 298 · h-index 11

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
    • Liver Disease and Transplantation
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Diseases and Immunity
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies

Papers in

    • Liver Disease Diagnosis and Treatment 10
    • Hepatitis B Virus Studies 7
    • Hepatitis C virus research 6
    • Hepatocellular Carcinoma Treatment and Prognosis 3
    • Liver Disease and Transplantation 3
    • Liver Diseases and Immunity 2

Mao Okada

16 papers receiving 294 citations

Peers

Mao Okada
Comparison fields: 5 of 47
  • Hepatology 218
  • Epidemiology 214
  • Geriatrics and Gerontology 14
  • Physiology 45
  • Hematology 14
Replace Roxana Vădan with:
Roxana Vădan Romania
Gabriel Mezzano Chile
Machiko Umemura Japan
Tomomi Okubo Japan
Mi Young Jeon South Korea
Eiji Tanaka Japan
Θεόδωρος Ανδρουτσάκος Greece
Ken Nishino Japan
Isabel Carmona Spain
Hanaa Badran Egypt
Mao Okada relative to Roxana Vădan Romania Roxana Vădan's profile →
Citations per field
00.5×3.0×
Roxana Vădan · 1×
Citations per year

Countries citing papers authored by Mao Okada

Since Specialization
Citations

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

Fields of papers citing papers by Mao Okada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201848
2 201941
3 201838
4 201927
5 201923
6 201822
7 201718
8 201917
9 201816
10
Serum and stomach tissue levels of geranylgeranylacetone in patients.
198311
11 201910
12 202010
13 20208
14 20206
15 20212
16 20241

About Mao Okada

Mao Okada is a scholar working on Epidemiology, Hepatology, Infectious Diseases, Surgery and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 298 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (10 papers), Hepatitis B Virus Studies (7 papers), Hepatitis C virus research (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Liver Disease and Transplantation (3 papers), Liver Diseases and Immunity (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Hepatology (218 citations), Epidemiology (214 citations), Geriatrics and Gerontology (14 citations), Physiology (45 citations) and Hematology (14 citations). Mao Okada has collaborated with scholars based in Japan, United States and Estonia. Frequent co-authors include Kenta Takaura, Masayuki Kurosaki, Yutaka Yasui, Jun Itakura, Nobuharu Tamaki, Hiroyuki Nakanishi, Namiki Izumi, Mayu Higuchi, Yuka Takahashi and Kaoru Tsuchiya. Their work appears in journals such as PLoS ONE, Hepatology Research, International Journal of Molecular Sciences, Scientific Reports and Clinical Gastroenterology and Hepatology.

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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