Yi Deng

1.9k citations
52 papers · 1.5k · h-index 20

Impact in

Papers in

    • CRISPR and Genetic Engineering 6
    • Wnt/β-catenin signaling in development and cancer 3
    • Epigenetics and DNA Methylation 3
    • Caveolin-1 and cellular processes 5
    • Cellular Mechanics and Interactions 4
    • Cellular transport and secretion 3

Yi Deng

51 papers receiving 1.5k citations

Peers

Yi Deng
Comparison fields: 5 of 115
  • Immunology and Allergy 158
  • Aging 32
  • Cell Biology 289
  • Molecular Biology 875
  • Physiology 38
Replace Lula Hilenski with:
Lula Hilenski United States
Tosifusa Toda Japan
Louise Larose Canada
Jiing-Dwan Lee United States
Young Chul Yang United States
Jaebong Kim South Korea
Richard R. Vaillancourt United States
Corine Gilliéron Switzerland
Lin Xu United States
Yonghui Jia United States
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Citations per field
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Citations per year

Countries citing papers authored by Yi Deng

Since Specialization
Citations

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

Fields of papers citing papers by Yi Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012220
2 2012208
3 2017123
4 201868
5 200857
6 200155
7 201553
8 201251
9 201344
10 202138
11 201737
12 201535
13 200734
14 201932
15 200931
16 201431
17 201729
18 200326
19 201923
20 200521

About Yi Deng

Yi Deng is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Immunology and Allergy and Oncology, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (6 papers), CRISPR and Genetic Engineering (6 papers), Caveolin-1 and cellular processes (5 papers), Cellular Mechanics and Interactions (4 papers), Cellular transport and secretion (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Epigenetics and DNA Methylation (3 papers) and Genetic and Kidney Cyst Diseases (3 papers). The work is most often cited by research in Immunology and Allergy (158 citations), Aging (32 citations), Cell Biology (289 citations), Molecular Biology (875 citations) and Physiology (38 citations). Yi Deng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hui Zhao, Yonglong Chen, Richard Kin Ting Kam, Xiaogang Guo, Yong Lei, Chuanyue Wu, Xiongfeng Chen, Igor B. Dawid, Christopher H.K. Cheng and Yun Liu. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Cell & Bioscience, Oncogene and The FASEB Journal.

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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