Yingyi Wang

7.2k citations
169 papers · 5.2k · h-index 42

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • RNA Research and Splicing

Papers in

    • Circular RNAs in diseases 19
    • RNA modifications and cancer 10
    • Epigenetics and DNA Methylation 9
    • MicroRNA in disease regulation 28
    • Cancer-related molecular mechanisms research 26

Yingyi Wang

162 papers receiving 5.2k citations

Peers

Yingyi Wang
Comparison fields: 5 of 152
  • Cancer Research 2.1k
  • Molecular Biology 2.7k
  • Genetics 259
  • Biological Psychiatry 48
  • Oncology 436
Replace Fang Wang with:
Fang Wang China
Shih‐Wei Wang Taiwan
Ya Zhang China
Yanjie Lu China
Song Li China
Jianfeng Li China
Minsheng Chen China
Jia Shen United States
Weimin Fan China
Bin Lü China
Yingyi Wang relative to Fang Wang China Fang Wang's profile →
Citations per field
00.5×1.7×
Fang Wang · 1×
Citations per year

Countries citing papers authored by Yingyi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yingyi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 169 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014263
2 2013200
3 2012165
4 2011159
5 2018137
6 2011120
7 2012118
8 2017113
9 2015113
10 2017110
11 2020110
12 201999
13 201193
14 200692
15 201887
16 201884
17 201781
18 201979
19 202268
20 201265

About Yingyi Wang

Yingyi Wang is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Materials Chemistry, having authored 169 papers that have together received 5.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (28 papers), Cancer-related molecular mechanisms research (26 papers), Circular RNAs in diseases (19 papers), Carbon and Quantum Dots Applications (11 papers), RNA modifications and cancer (10 papers), Epigenetics and DNA Methylation (9 papers), Nanocluster Synthesis and Applications (9 papers) and Lung Cancer Treatments and Mutations (8 papers). The work is most often cited by research in Cancer Research (2.1k citations), Molecular Biology (2.7k citations), Genetics (259 citations), Biological Psychiatry (48 citations) and Oncology (436 citations). Yingyi Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yongping You, Junxia Zhang, Ning Liu, Xiaoming Yang, Tianfu Yu, Xiefeng Wang, Hong Miao, Tongle Zhi, Weining Wu and Chunsheng Kang. Their work appears in journals such as Oncotarget, Neuro-Oncology, Frontiers in Immunology, Tumor Biology and Frontiers in Oncology.

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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