Yadong Chen

4.3k total citations · 1 hit paper
211 papers, 3.3k citations indexed

About

Yadong Chen is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Yadong Chen has authored 211 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 140 papers in Molecular Biology, 58 papers in Computational Theory and Mathematics and 43 papers in Organic Chemistry. Recurrent topics in Yadong Chen's work include Computational Drug Discovery Methods (58 papers), Protein Degradation and Inhibitors (33 papers) and Histone Deacetylase Inhibitors Research (25 papers). Yadong Chen is often cited by papers focused on Computational Drug Discovery Methods (58 papers), Protein Degradation and Inhibitors (33 papers) and Histone Deacetylase Inhibitors Research (25 papers). Yadong Chen collaborates with scholars based in China, United States and Canada. Yadong Chen's co-authors include Tao Lu, Yanmin Zhang, Haichun Liu, Rutao Liu, Tao Lu, Shuai Lü, Qidong You, Haoliang Yuan, Rui Zhang and Hongmei Li and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Molecular Cell.

In The Last Decade

Yadong Chen

202 papers receiving 3.2k citations

Hit Papers

Drug repositioning: Progress and challenges in drug disco... 2022 2026 2023 2024 2022 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Drug repositioning: Progress and challenges in drug discovery for various diseases
    2022 126 citations Haichun Liu, Tao Lu et al. European Journal of Medicinal Chemistry profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yadong Chen China 31 1.8k 693 611 539 266 211 3.3k
Giorgio Cozza Italy 32 2.9k 1.6× 691 1.0× 602 1.0× 559 1.0× 144 0.5× 88 4.6k
Mingzhu Yin China 34 3.0k 1.7× 520 0.8× 711 1.2× 927 1.7× 114 0.4× 140 6.1k
Dan Li China 36 2.7k 1.5× 484 0.7× 1.3k 2.2× 577 1.1× 175 0.7× 156 4.7k
Rajeshwar P. Verma United States 26 862 0.5× 835 1.2× 540 0.9× 412 0.8× 50 0.2× 64 2.4k
Shuai Lü China 31 1.2k 0.7× 414 0.6× 276 0.5× 290 0.5× 189 0.7× 144 2.9k
James M. Gallo United States 42 1.9k 1.0× 322 0.5× 183 0.3× 1.3k 2.3× 161 0.6× 154 5.0k
Leming Shi China 35 2.0k 1.1× 212 0.3× 728 1.2× 571 1.1× 30 0.1× 97 3.8k
Sathees C. Raghavan India 44 3.9k 2.1× 1.1k 1.5× 107 0.2× 924 1.7× 110 0.4× 165 5.9k
Takahiro Seki Japan 30 2.5k 1.4× 321 0.5× 217 0.4× 695 1.3× 63 0.2× 59 4.8k
Anshuman Dixit India 28 1.2k 0.6× 342 0.5× 301 0.5× 179 0.3× 91 0.3× 83 2.0k

Countries citing papers authored by Yadong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yadong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yadong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yadong Chen. A scholar is included among the top collaborators of Yadong 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 Yadong Chen. Yadong 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
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2.
Cao, Minghui, Yadong Chen, Wenwen Yan, et al.. (2024). Purification, structural characterization and immunomodulatory activity of a polysaccharide isolated from Scutellaria baicalensis stem-leaf. International Journal of Biological Macromolecules. 281(Pt 1). 136409–136409. 2 indexed citations
3.
Zhang, Simeng, et al.. (2024). CGPDTA: An Explainable Transfer Learning‐Based Predictor With Molecule Substructure Graph for Drug‐Target Binding Affinity. Journal of Computational Chemistry. 46(1). e27538–e27538.
4.
Zhang, Wenqiang, Yi Luo, Zhuolin Chen, et al.. (2024). Discovery of novel biphenyl derivatives as androgen receptor degraders for the treatment of enzalutamide-resistant prostate cancer. Bioorganic Chemistry. 148. 107433–107433. 3 indexed citations
5.
Chen, Yadong, et al.. (2024). Multifunctional baicalin nanoparticles inhibit tumor cell growth and activate RAW264.7 macrophages. Journal of Drug Delivery Science and Technology. 97. 105757–105757. 2 indexed citations
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Wang, Zhijie, Xun Lu, Fei Huang, et al.. (2024). Discovery of FLT3-targeting PROTACs with potent antiproliferative activity against acute myeloid leukemia cells harboring FLT3 mutations. European Journal of Medicinal Chemistry. 268. 116237–116237. 4 indexed citations
8.
Yang, Na, Bo Kong, Fei Huang, et al.. (2023). Recent advances in targeted protein degraders as potential therapeutic agents. Molecular Diversity. 28(1). 309–333. 23 indexed citations
9.
Cui, Bingbing, Yong Wang, Fan Lü, et al.. (2023). Discovery of 3-(1H-benzo[d]imidazole-2-yl)-1H-pyrazol-4 -amine derivatives as novel and potent syk inhibitors for the treatment of hematological malignancies. European Journal of Medicinal Chemistry. 258. 115597–115597. 7 indexed citations
10.
Zhang, Ruyue, et al.. (2023). Discovery of Thieno[3,2-d]pyrimidine derivatives as potent and selective inhibitors of ataxia telangiectasia mutated and Rad3 related (ATR) kinase. European Journal of Medicinal Chemistry. 255. 115370–115370. 13 indexed citations
11.
Chen, Lingfeng, et al.. (2023). Co‐model for chemical toxicity prediction based on multi‐task deep learning. Molecular Informatics. 42(5). e2200257–e2200257. 5 indexed citations
12.
Wang, Zhijie, Donglin Wu, Xiaofei Zhao, et al.. (2023). Rational discovery of dual FLT3/HDAC inhibitors as a potential AML therapy. European Journal of Medicinal Chemistry. 260. 115759–115759. 12 indexed citations
13.
Chen, Lingfeng, Rui Gu, Yuanyuan Li, et al.. (2023). Epigenetic target identification strategy based on multi-feature learning. Journal of Biomolecular Structure and Dynamics. 42(11). 5946–5962. 1 indexed citations
14.
Zhuang, Lili, et al.. (2022). Inhibitors of cell cycle checkpoint target Wee1 kinase – a patent review (2003–2022). Expert Opinion on Therapeutic Patents. 32(12). 1217–1244. 11 indexed citations
15.
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Zhang, Yanmin, Yi Hua, Yuchen Wang, et al.. (2019). Investigation of Machine Intelligence in Compound Cell Activity Classification. Molecular Pharmaceutics. 16(11). 4472–4484. 7 indexed citations
17.
Chen, Xin, Hongmei Li, Xin Wang, et al.. (2019). Design, synthesis and biological evaluation of novel isoindolinone derivatives as potent histone deacetylase inhibitors. European Journal of Medicinal Chemistry. 168. 110–122. 52 indexed citations
18.
Zhi, Yanle, Haoliang Yuan, Zhijie Wang, et al.. (2018). Discovery of a highly selective FLT3 inhibitor with specific proliferation inhibition against AML cells harboring FLT3-ITD mutation. European Journal of Medicinal Chemistry. 163. 195–206. 18 indexed citations
19.
Zhang, Yanmin, Lu Wang, Qing Zhang, et al.. (2017). Potent Pan-Raf and Receptor Tyrosine Kinase Inhibitors Based on a Cyclopropyl Formamide Fragment Overcome Resistance. Journal of Chemical Information and Modeling. 57(6). 1439–1452. 7 indexed citations
20.
Ran, Ting, Zhimin Zhang, Kejun Liu, et al.. (2015). Insight into the key interactions of bromodomain inhibitors based on molecular docking, interaction fingerprinting, molecular dynamics and binding free energy calculation. Molecular BioSystems. 11(5). 1295–1304. 18 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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