Yu Ding

1.3k citations
53 papers · 912 · h-index 16

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • Advanced biosensing and bioanalysis techniques
    • Epigenetics and DNA Methylation
    • Synthesis and bioactivity of alkaloids

Papers in

    • Ubiquitin and proteasome pathways 3
    • RNA Research and Splicing 3
    • Cancer-related molecular mechanisms research 7
    • MicroRNA in disease regulation 5

Yu Ding

47 papers receiving 901 citations

Peers

Yu Ding
Comparison fields: 5 of 93
  • Cancer Research 277
  • Molecular Biology 515
  • Toxicology 21
  • Biological Psychiatry 11
  • Immunology 70
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Citations per field
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Citations per year

Countries citing papers authored by Yu Ding

Since Specialization
Citations

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

Fields of papers citing papers by Yu Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021134
2 201676
3 201467
4 201761
5 201955
6 201743
7 201842
8 201840
9 202040
10
The role of miR-18a in gastric cancer angiogenesis.
201328
11 202124
12 202024
13 202024
14 202124
15 201822
16 201715
17 201613
18 202113
19
Harmine suppresses breast cancer cell migration and invasion by regulating TAZ-mediated epithelial-mesenchymal transition.
202213
20 201812

About Yu Ding

Yu Ding is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Surgery, having authored 53 papers that have together received 912 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (5 papers), Immune cells in cancer (4 papers), Sarcoma Diagnosis and Treatment (4 papers), Ubiquitin and proteasome pathways (3 papers), Renal cell carcinoma treatment (3 papers), RNA Research and Splicing (3 papers) and Hippo pathway signaling and YAP/TAZ (3 papers). The work is most often cited by research in Cancer Research (277 citations), Molecular Biology (515 citations), Toxicology (21 citations), Biological Psychiatry (11 citations) and Immunology (70 citations). Yu Ding has collaborated with scholars based in China, Hong Kong and Italy. Frequent co-authors include Jinrong He, Shanshan Chen, Caixia Peng, Jin Huang, Weiqun Chen, Xiaoyan Shi, Xing Liu, Jiqing Zhao, Jian Wang and Peng Wu. Their work appears in journals such as Metabolism, Journal of Leukocyte Biology, International Immunopharmacology, Phytomedicine and ACS Omega.

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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