Yuto Shiode

447 citations
8 papers · 352 · 1 hit paper · h-index 5

Impact in

  • Epidemiology top 10%
    • Autophagy in Disease and Therapy
    • Liver Disease Diagnosis and Treatment
  • Biochemistry top 10%
    • Lipid metabolism and biosynthesis

Papers in

Yuto Shiode

8 papers receiving 350 citations

Yuto Shiode's Hit Papers

Rubicon inhibits autophagy and accelerates hepatocyte apoptosis and lipid accumulation in nonalcoholic fatty liver disease in mice 2016 · 295 citations
2950+3+6Years since publication50100150200250

Peers

Yuto Shiode
Comparison fields: 5 of 51
  • Epidemiology 244
  • Biochemistry 41
  • Cell Biology 71
  • Hepatology 27
  • Physiology 14
Replace Federica Roccio with:
Federica Roccio France
Georgi Kirovski Germany
Prachi Hote United States
Maroua Ferhat France
Mehdi Ramezani–Moghadam Australia
Sandra L. Todero United States
Leila Valanejad United States
Wan-Qiu Peng China
Daisuke Aibara Japan
Yuto Shiode relative to Federica Roccio France Federica Roccio's profile →
Citations per field
00.5×10×20×30×43×
Federica Roccio · 1×
Citations per year

Countries citing papers authored by Yuto Shiode

Since Specialization
Citations

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

Fields of papers citing papers by Yuto Shiode

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
Rubicon inhibits autophagy and accelerates hepatocyte apoptosis and lipid accumulation in nonalcoholic fatty liver disease in mice
Hit paper breakdown →
2016295
2 202019
3 202218
4 20229
5 20216
6 20252
7 20172
8 20131

About Yuto Shiode

Yuto Shiode is a scholar working on Molecular Biology, Epidemiology, Hepatology, Oncology and Surgery, having authored 8 papers that have together received 352 indexed citations. Recurring topics across this work include Hepatitis C virus research (2 papers), Folate and B Vitamins Research (1 paper), DNA Repair Mechanisms (1 paper), Cancer Mechanisms and Therapy (1 paper), Peroxisome Proliferator-Activated Receptors (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Liver physiology and pathology (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Epidemiology (244 citations), Biochemistry (41 citations), Cell Biology (71 citations), Hepatology (27 citations) and Physiology (14 citations). Yuto Shiode has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Ryotaro Sakamori, Hayato Hikita, Tetsuo Takehara, Tomohide Tatsumi, Hidetoshi Eguchi, Tasuku Nakabori, Sadatsugu Sakane, Satoshi Tanaka, Yoshinobu Saito and Yasutoshi Nozaki. Their work appears in journals such as Hepatology, Scientific Reports, Hepatology Communications, Biomarker Research and Cancer Research.

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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