Danghui Yu

529 citations
8 papers · 369 · h-index 7

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • Genomics and Chromatin Dynamics
    • RNA modifications and cancer
    • Extracellular vesicles in disease

Papers in

    • Pancreatic and Hepatic Oncology Research 2
    • Cancer-related Molecular Pathways 1
    • MicroRNA in disease regulation 3
    • Cancer Genomics and Diagnostics 1

Danghui Yu

8 papers receiving 366 citations

Peers

Danghui Yu
Comparison fields: 5 of 55
  • Cancer Research 169
  • Molecular Biology 255
  • Oncology 97
  • Immunology 63
  • Cell Biology 35
Replace Alexandros P. Drainas with:
Alexandros P. Drainas United States
Shengqi Hou United States
Anjali Geethadevi United States
Jinsong Liu United States
M Yamada Japan
Liangru Fei China
Xiangbin Wu China
Yurika Nakamura Japan
Yukio Yamano Japan
Yuyan Xu China
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Citations per field
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Citations per year

Countries citing papers authored by Danghui Yu

Since Specialization
Citations

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

Fields of papers citing papers by Danghui Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2011103
2 201380
3 201368
4 201758
5 201027
6
Fluctuations in the rate of autopsy in China.
201117
7 201114
8
[Hepatitis B virus X protein inhibits hepatoma cell growth in vitro through p14(ARF)-dependent and p14(ARF)-independent pathways].
20092

About Danghui Yu

Danghui Yu is a scholar working on Oncology, Cancer Research, Molecular Biology, Surgery and Nephrology, having authored 8 papers that have together received 369 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Nanoplatforms for cancer theranostics (1 paper), Cancer Genomics and Diagnostics (1 paper), TGF-β signaling in diseases (1 paper), Autopsy Techniques and Outcomes (1 paper), Cancer-related Molecular Pathways (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Cancer Research (169 citations), Molecular Biology (255 citations), Oncology (97 citations), Immunology (63 citations) and Cell Biology (35 citations). Danghui Yu has collaborated with scholars based in China and United States. Frequent co-authors include Ming-hua Zhu, Chenyan Zhao, Min Shi, Shu‐Hui Zhang, Qinghua Liu, Jing Zhang, Can-rong Ni, Hongyu Yu, Li Wang and Lina Liu. Their work appears in journals such as Oncology Reports, Journal of Experimental & Clinical Cancer Research, Cancer Letters, PLoS ONE and OncoImmunology.

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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