Yang Ke

962 citations
34 papers · 617 · h-index 14

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Cancer, Lipids, and Metabolism
    • Cancer-related molecular mechanisms research

Papers in

    • RNA modifications and cancer 4
    • Circular RNAs in diseases 3
    • Cancer-related molecular mechanisms research 4
    • Cancer, Lipids, and Metabolism 3

Yang Ke

33 papers receiving 611 citations

Peers

Yang Ke
Comparison fields: 5 of 88
  • Hepatology 159
  • Cancer Research 126
  • Pharmacology 38
  • Pharmacology 72
  • Molecular Biology 250
Replace Maria Rita Emma with:
Maria Rita Emma Italy
Hongyao Liu China
Yajing Yang China
Huibin Lu China
Mayrel Palestino Domínguez Mexico
Xiong Cai China
Fanhua Kong China
Darko Castven Germany
Chung-Kwe Wang Taiwan
Yang Ke relative to Maria Rita Emma Italy Maria Rita Emma's profile →
Citations per field
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Maria Rita Emma · 1×
Citations per year

Countries citing papers authored by Yang Ke

Since Specialization
Citations

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

Fields of papers citing papers by Yang Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201594
2 201661
3 201850
4 202040
5 201940
6 202435
7 201731
8 202229
9 202128
10 201523
11 202116
12 201915
13 202214
14 201513
15 201613
16 201912
17 201911
18 201811
19 202010
20 201610

About Yang Ke

Yang Ke is a scholar working on Molecular Biology, Cancer Research, Hepatology, Epidemiology and Biomaterials, having authored 34 papers that have together received 617 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Nanoparticle-Based Drug Delivery (4 papers), RNA modifications and cancer (4 papers), Cancer-related molecular mechanisms research (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Cancer, Lipids, and Metabolism (3 papers), Circular RNAs in diseases (3 papers) and Cancer Mechanisms and Therapy (3 papers). The work is most often cited by research in Hepatology (159 citations), Cancer Research (126 citations), Pharmacology (38 citations), Pharmacology (72 citations) and Molecular Biology (250 citations). Yang Ke has collaborated with scholars based in China, Taiwan and India. Frequent co-authors include Lin Wang, Le‐Qun Li, Jian‐Hong Zhong, Haoran Tang, Yanyan Wang, Tianhao Bao, Cheng Zhang, Xuesong Wu, Yan Wang and Kui Xiang. Their work appears in journals such as International Journal of Pharmaceutics, Tumor Biology, Journal of Cancer, Molecular Therapy — Oncolytics and International Journal of Biological Macromolecules.

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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