He Chen

3.7k total citations · 1 hit paper
83 papers, 1.9k citations indexed

About

He Chen is a scholar working on Molecular Biology, Cancer Research and Biomedical Engineering. According to data from OpenAlex, He Chen has authored 83 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Biomedical Engineering. Recurrent topics in He Chen's work include Advanced biosensing and bioanalysis techniques (13 papers), Protein Degradation and Inhibitors (11 papers) and Ubiquitin and proteasome pathways (8 papers). He Chen is often cited by papers focused on Advanced biosensing and bioanalysis techniques (13 papers), Protein Degradation and Inhibitors (11 papers) and Ubiquitin and proteasome pathways (8 papers). He Chen collaborates with scholars based in China, United States and Uruguay. He Chen's co-authors include Jian Jin, H. Ümit Kanıskan, Jing Liu, Wenyi Wei, Xian Chen, Ling Xie, Yudao Shen, Fanye Meng, Yi Liu and Peiling Li and has published in prestigious journals such as Cell, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

He Chen

79 papers receiving 1.9k citations

Hit Papers

Cancer Selective Target Degradation by Folate-Caged PROTACs 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
He Chen China 22 1.5k 383 273 175 165 83 1.9k
Lingyun Li China 27 1.5k 1.0× 294 0.8× 504 1.8× 46 0.3× 153 0.9× 73 2.4k
Jeyanthy Eswaran United Kingdom 27 1.5k 1.0× 509 1.3× 178 0.7× 87 0.5× 34 0.2× 41 2.4k
Alan A. Dombkowski United States 24 1.5k 1.0× 236 0.6× 310 1.1× 159 0.9× 82 0.5× 64 2.3k
Carlo Mischiati Italy 28 1.3k 0.9× 193 0.5× 176 0.6× 187 1.1× 167 1.0× 98 2.1k
Anupam Chatterjee India 23 1.1k 0.7× 407 1.1× 266 1.0× 27 0.2× 74 0.4× 70 2.1k
Yinghua Wang China 19 544 0.4× 115 0.3× 170 0.6× 193 1.1× 40 0.2× 71 1.4k
Daili J. A. Netz Germany 28 2.2k 1.5× 165 0.4× 59 0.2× 249 1.4× 81 0.5× 33 3.2k
T.J. Rydel United States 17 1.2k 0.8× 258 0.7× 264 1.0× 551 3.1× 41 0.2× 28 2.1k
Clara L. Kielkopf United States 29 2.5k 1.7× 164 0.4× 156 0.6× 104 0.6× 53 0.3× 66 3.0k
Margaret Dah‐Tsyr Chang Taiwan 27 972 0.6× 195 0.5× 142 0.5× 27 0.2× 151 0.9× 85 1.8k

Countries citing papers authored by He Chen

Since Specialization
Citations

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

Fields of papers citing papers by He Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of He Chen

This figure shows the co-authorship network connecting the top 25 collaborators of He Chen. A scholar is included among the top collaborators of He Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with He Chen. He Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Chunyu, Yujie Shao, Mengna Zhang, et al.. (2025). Pathway-selective 5-HT1AR agonist as a rapid antidepressant strategy. Cell. 188(25). 7222–7237.e24.
2.
Wu, Yating, et al.. (2024). Peptidomic Analysis of Potential Bioactive Peptides in Mare Milk Under Different Heat Treatment Conditions. Foods. 13(22). 3592–3592. 2 indexed citations
3.
Li, Juan, Can Zhou, Xiaoqian Gao, et al.. (2024). S100A10 promotes cancer metastasis via recruitment of MDSCs within the lungs. OncoImmunology. 13(1). 2381803–2381803. 6 indexed citations
5.
Ding, Yinan, Rui Yang, Jiayan Huang, et al.. (2023). Photosensitive small extracellular vesicles regulate the immune microenvironment of triple negative breast cancer. Acta Biomaterialia. 167. 534–550. 13 indexed citations
6.
Chen, He, Hao Liu, An Li, et al.. (2023). Monoclonal Antibody-Based Colorimetric Lateral Flow Immunoassay for the Detection of Pyridaben in the Environment. Biosensors. 13(5). 545–545. 9 indexed citations
7.
Šanda, Miloslav, Qiang Yang, Guanghui Zong, et al.. (2023). LC-MS/MS-PRM Quantification of IgG Glycoforms Using Stable Isotope Labeled IgG1 Fc Glycopeptide Standard. Journal of Proteome Research. 22(4). 1138–1147. 6 indexed citations
8.
Wang, Zhen, Jing Liu, He Chen, et al.. (2023). Telomere Targeting Chimera Enables Targeted Destruction of Telomeric Repeat-Binding Factor Proteins. Journal of the American Chemical Society. 145(19). 10872–10879. 19 indexed citations
9.
Wang, Zhen, Jing Liu, Xing Qiu, et al.. (2023). Methylated Nucleotide-Based Proteolysis-Targeting Chimera Enables Targeted Degradation of Methyl-CpG-Binding Protein 2. Journal of the American Chemical Society. 145(40). 21871–21878. 9 indexed citations
10.
Zhang, Shicheng, He Chen, Chengwei Zhang, et al.. (2022). Inactive and active state structures template selective tools for the human 5-HT5A receptor. Nature Structural & Molecular Biology. 29(7). 677–687. 18 indexed citations
11.
Liu, Jing, Xufen Yu, He Chen, et al.. (2022). TF-DUBTACs Stabilize Tumor Suppressor Transcription Factors. Journal of the American Chemical Society. 144(28). 12934–12941. 42 indexed citations
12.
Meng, Fanye, Kwang‐Su Park, Li Wang, et al.. (2021). Harnessing the E3 Ligase KEAP1 for Targeted Protein Degradation. Journal of the American Chemical Society. 143(37). 15073–15083. 96 indexed citations
13.
Liu, Jing, He Chen, H. Ümit Kanıskan, et al.. (2021). TF-PROTACs Enable Targeted Degradation of Transcription Factors. Journal of the American Chemical Society. 143(23). 8902–8910. 178 indexed citations
14.
Li, Yunyun, He Chen, Jianxun Wu, et al.. (2021). Molecular Characterization of Glycerol Dialkyl Glycerol Tetraethers by High Resolution Orbitrap Mass Spectrometry. SHILAP Revista de lepidopterología. 2 indexed citations
15.
Chen, He, Jing Liu, H. Ümit Kanıskan, Wenyi Wei, & Jian Jin. (2021). Folate-Guided Protein Degradation by Immunomodulatory Imide Drug-Based Molecular Glues and Proteolysis Targeting Chimeras. Journal of Medicinal Chemistry. 64(16). 12273–12285. 82 indexed citations
16.
Wang, Xing, Miao Zhang, Can Zhou, et al.. (2020). Suppressor of Ty 16 promotes lung cancer malignancy and is negatively regulated by miR‐1227‐5p. Cancer Science. 111(11). 4075–4087. 10 indexed citations
17.
Lv, Wenhua, Qiuyu Wang, He Chen, et al.. (2015). Prioritization of rheumatoid arthritis risk subpathways based on global immune subpathway interaction network and random walk strategy. Molecular BioSystems. 11(11). 2986–2997. 5 indexed citations
18.
Shu, Guowei, et al.. (2014). Effect of Organic Nitrogen Source on Angiotensin I Converting Enzyme (ACE) Inhibitory Peptides Fermented by <em>Lactobacillus bulgaricus</em> LB6 from Goat Milk. Advance Journal of Food Science and Technology. 6(2). 221–227. 4 indexed citations
19.
Chen, He, et al.. (2014). Optimisation of Immobilisation Conditions of &#946;-galactosidase onto Chitosan Beads Using Response Surface Methodology. Advance Journal of Food Science and Technology. 6(6). 819–824. 3 indexed citations
20.
Chen, He. (2001). INDUCTION OF ENHANCED BROAD-SPECTRUM RESISTANCE AND DEFENSE ENZYME ACTIVITIES IN RICE BY BINUCLEATE Rhizoctonia SPECIES. Acta Phytopathologica Sinica. 2 indexed citations

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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