Yinyin Wang

4.4k citations
121 papers · 3.0k · h-index 31

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Ubiquitin and proteasome pathways
    • Protein Degradation and Inhibitors
    • RNA modifications and cancer
    • Bioinformatics and Genomic Networks

Papers in

    • Cancer-related gene regulation 7
    • Ubiquitin and proteasome pathways 6
    • Epigenetics and DNA Methylation 6
    • Wnt/β-catenin signaling in development and cancer 6

Yinyin Wang

114 papers receiving 3.0k citations

Peers

Yinyin Wang
Comparison fields: 5 of 143
  • Cancer Research 364
  • Molecular Biology 1.6k
  • Computational Theory and Mathematics 290
  • Oncology 439
  • Complementary and alternative medicine 125
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Citations per field
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Citations per year

Countries citing papers authored by Yinyin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yinyin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019230
2 2019163
3 2021107
4 201996
5 200895
6 200588
7 201276
8 202169
9 201865
10 201264
11 200864
12 201855
13 201454
14 201853
15 201151
16 200950
17 201149
18 201847
19 201146
20 202143

About Yinyin Wang

Yinyin Wang is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Pharmacology, having authored 121 papers that have together received 3.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Microbial Natural Products and Biosynthesis (9 papers), Cancer-related gene regulation (7 papers), NF-κB Signaling Pathways (7 papers), Ubiquitin and proteasome pathways (6 papers), Epigenetics and DNA Methylation (6 papers), Cancer-related Molecular Pathways (6 papers) and Wnt/β-catenin signaling in development and cancer (6 papers). The work is most often cited by research in Cancer Research (364 citations), Molecular Biology (1.6k citations), Computational Theory and Mathematics (290 citations), Oncology (439 citations) and Complementary and alternative medicine (125 citations). Yinyin Wang has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Zhijie Chang, Fangli Ren, Danhui Ma, Jing Tang, Yutian Zou, Mohieddin Jafari, Baoqing Jia, Hua Zhang, Yonggong Zhai and Yanquan Zhang. Their work appears in journals such as Journal of Biological Chemistry, Cellular Signalling, Fitoterapia, Biochemical and Biophysical Research Communications and Molecules.

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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