Jun‐ichi Okano

1.9k citations
75 papers · 1.5k indexed · h-index 20

Impact in

  • Hepatology top 2%
    • Liver physiology and pathology
    • Hepatocellular Carcinoma Treatment and Prognosis
  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies

Papers in

Jun‐ichi Okano

70 papers receiving 1.5k citations

Peers

Jun‐ichi Okano
Comparison fields: 5 of 119
  • Hepatology 415
  • Epidemiology 329
  • Molecular Biology 641
  • Cancer Research 136
  • Oncology 229
Replace Masayoshi Kanisawa with:
Masayoshi Kanisawa Japan
Giovanni Rizzo Italy
Jeffrey M. Macdonald United States
Serene M. L. Lee Germany
Ling‐Yu Wang China
Catherine A. Abbott Australia
Jian-Ying Zhang United States
Akiko Ando Japan
Yan Jiang China
Jun‐ichi Okano relative to Masayoshi Kanisawa Japan Masayoshi Kanisawa's profile →
Citations per field
00.5×6.3×
Masayoshi Kanisawa · 1×
Citations per year

Countries citing papers authored by Jun‐ichi Okano

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐ichi Okano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐ichi Okano. 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 Jun‐ichi Okano. The network helps show where Jun‐ichi Okano may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20221
2 20202
3 201715
4 20165
5 20169
6 201529
7 201519
8 20130
9 20111
10 20111
11
Vitamin K2 Has No Preventive Effect on Recurrence of Hepatocellular Carcinoma after Effective Treatment
20087
12 200877
13 200629
14
20041
15
20041
16
20030
17
20031
18 200325
19 200055
20 199874

About Jun‐ichi Okano

Jun‐ichi Okano is a scholar working on Hepatology, Nature and Landscape Conservation, Pharmacology, Geriatrics and Gerontology and Ecology, having authored 75 papers that have together received 1.5k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (13 papers), Fish Ecology and Management Studies (8 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), Freshwater macroinvertebrate diversity and ecology (7 papers), Liver Disease and Transplantation (7 papers), Aquatic Invertebrate Ecology and Behavior (6 papers), Liver physiology and pathology (5 papers) and Drug-Induced Hepatotoxicity and Protection (5 papers). The work is most often cited by research in Hepatology (415 citations), Epidemiology (329 citations), Molecular Biology (641 citations), Cancer Research (136 citations) and Oncology (229 citations). Jun‐ichi Okano has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Anil K. Rustgi, Yoshikazu Murawaki, Goshi Shiota, Takakazu Nagahara, Kazuya Matsumoto, Hironaka Kawasaki, Toshikazu Nakamura, Morris J. Birnbaum, Hiroshi Nakagawa and Timothy D. Jenkins. Their work appears in journals such as Journal of Biological Chemistry, Journal of Gastroenterology, Limnology, International Journal of Oncology and Behavioral Ecology.

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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