Eisuke Yasuda

583 citations
26 papers · 485 · h-index 15

Impact in

  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation

Papers in

Eisuke Yasuda

25 papers receiving 479 citations

Peers

Eisuke Yasuda
Comparison fields: 5 of 80
  • Hepatology 88
  • Aging 15
  • Cell Biology 107
  • Molecular Biology 302
  • Cancer Research 45
Replace G. Gobe with:
G. Gobe Australia
Xiaojie Yu China
E. Jacquemin France
Jessica L. Simmers United States
Eun‐Wie Cho South Korea
Marcel O. Schmidt United States
Jason Velazquez United States
An Hong China
Hanish Anand United Kingdom
Chao Nie China
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Citations per field
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Citations per year

Countries citing papers authored by Eisuke Yasuda

Since Specialization
Citations

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

Fields of papers citing papers by Eisuke Yasuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201554
2 201052
3 200542
4 200837
5 201630
6 201130
7 201728
8 200723
9 200522
10 200722
11 200522
12 200620
13 199516
14 201315
15 200615
16 201411
17 200310
18 20199
19 20068
20 20225

About Eisuke Yasuda

Eisuke Yasuda is a scholar working on Molecular Biology, Cell Biology, Radiology, Nuclear Medicine and Imaging, Hepatology and Epidemiology, having authored 26 papers that have together received 485 indexed citations. Recurring topics across this work include Heat shock proteins research (11 papers), Endoplasmic Reticulum Stress and Disease (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Fibroblast Growth Factor Research (3 papers), Enzyme Structure and Function (3 papers), Medical Imaging Techniques and Applications (2 papers) and Advanced X-ray and CT Imaging (2 papers). The work is most often cited by research in Hepatology (88 citations), Aging (15 citations), Cell Biology (107 citations), Molecular Biology (302 citations) and Cancer Research (45 citations). Eisuke Yasuda has collaborated with scholars based in Japan and United Kingdom. Frequent co-authors include Osamu Kozawa, Takashi Kumada, Hidenori Toyoda, Yuji Kaneoka, Rie Matsushima‐Nishiwaki, Shinji Takai, Takahiro Noda, Naoki Yoshimi, Atsuyuki Maeda and Haruhiko Tokuda. Their work appears in journals such as Journal of Cellular Biochemistry, Hepatology Research, Life Sciences, Biochemical and Biophysical Research Communications and PLoS ONE.

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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