Fangjin Chen

2.3k total citations · 1 hit paper
17 papers, 795 citations indexed

About

Fangjin Chen is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Computational Theory and Mathematics. According to data from OpenAlex, Fangjin Chen has authored 17 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Computational Theory and Mathematics. Recurrent topics in Fangjin Chen's work include Computational Drug Discovery Methods (3 papers), Epigenetics and DNA Methylation (2 papers) and Microtubule and mitosis dynamics (2 papers). Fangjin Chen is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Epigenetics and DNA Methylation (2 papers) and Microtubule and mitosis dynamics (2 papers). Fangjin Chen collaborates with scholars based in China, United States and France. Fangjin Chen's co-authors include Luhua Lai, Jianfeng Pei, Shuaishi Gao, Youjun Xu, Ziwei Dai, Weilin Zhang, Shiwei Wang, Yihang Shen, Xiaomin Ma and Yu Xiao and has published in prestigious journals such as Nucleic Acids Research, Nature Biotechnology and PLoS ONE.

In The Last Decade

Fangjin Chen

17 papers receiving 782 citations

Hit Papers

CavityPlus: a web server for protein cavity detection wit... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fangjin Chen China 10 431 310 100 75 62 17 795
Jia Jia Singapore 5 550 1.3× 300 1.0× 66 0.7× 70 0.9× 65 1.0× 13 911
Tina Ritschel Netherlands 20 627 1.5× 223 0.7× 89 0.9× 66 0.9× 117 1.9× 32 1.1k
Xichen Lian China 10 507 1.2× 269 0.9× 47 0.5× 100 1.3× 32 0.5× 14 864
Varnavas D. Mouchlis United States 20 654 1.5× 331 1.1× 95 0.9× 51 0.7× 120 1.9× 36 1.1k
Tyler B. Hughes United States 14 400 0.9× 391 1.3× 156 1.6× 208 2.8× 113 1.8× 18 811
Eloy Félix United Kingdom 6 545 1.3× 625 2.0× 230 2.3× 61 0.8× 68 1.1× 11 1.0k
Xinbin Zhao China 10 735 1.7× 525 1.7× 143 1.4× 65 0.9× 30 0.5× 18 1.0k
Gabriela Bitencourt‐Ferreira Brazil 17 513 1.2× 458 1.5× 105 1.1× 51 0.7× 169 2.7× 28 907
Ziaurrehman Tanoli Finland 10 541 1.3× 349 1.1× 40 0.4× 54 0.7× 31 0.5× 24 851
Huidong Yu China 18 489 1.1× 300 1.0× 69 0.7× 91 1.2× 155 2.5× 37 1.0k

Countries citing papers authored by Fangjin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Fangjin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangjin Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Fangjin Chen. A scholar is included among the top collaborators of Fangjin 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 Fangjin Chen. Fangjin Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Xiao, Yu, Wan Jin, Lingao Ju, et al.. (2024). Tracking single-cell evolution using clock-like chromatin accessibility loci. Nature Biotechnology. 43(5). 784–798. 13 indexed citations
2.
Wang, Zijian, Wenjie You, Wang Wang, et al.. (2022). Dihydromyricetin-Incorporated Multilayer Nanofibers Accelerate Chronic Wound Healing by Remodeling the Harsh Wound Microenvironment. Advanced Fiber Materials. 4(6). 1556–1571. 44 indexed citations
3.
Hameed, Umar F. Shahul, Xiang Sun, Balakrishnan S. Moorthy, et al.. (2022). A NR2E1‐interacting peptide of LSD1 inhibits the proliferation of brain tumour initiating cells. Cell Proliferation. 56(1). e13350–e13350. 4 indexed citations
4.
Qian, Kaiyu, Gang Wang, Lingao Ju, et al.. (2020). A novel germline EGFR variant p.R831H causes predisposition to familial CDK12-mutant prostate cancer with tandem duplicator phenotype. Oncogene. 39(44). 6871–6878. 5 indexed citations
5.
Wang, Huaiyu, Zhao Cui, Lijie Zhang, et al.. (2018). HLA class II alleles differing by a single amino acid associate with clinical phenotype and outcome in patients with primary membranous nephropathy. Kidney International. 94(5). 974–982. 19 indexed citations
6.
Xu, Youjun, Shiwei Wang, Shuaishi Gao, et al.. (2018). CavityPlus: a web server for protein cavity detection with pharmacophore modelling, allosteric site identification and covalent ligand binding ability prediction. Nucleic Acids Research. 46(W1). W374–W379. 281 indexed citations breakdown →
7.
Jia, Xiaoyu, et al.. (2017). The critical amino acids of a nephritogenic epitope on human Goodpasture autoantigen for binding to HLA-DRB1*1501. Molecular Immunology. 88. 1–9. 8 indexed citations
8.
Cui, Zhao, Fangjin Chen, Shui‐yi Hu, et al.. (2017). The susceptible HLA class II alleles and their presenting epitope(s) in Goodpasture's disease. Immunology. 151(4). 395–404. 16 indexed citations
9.
Chen, Fangjin, et al.. (2016). Discovery of Novel Polo-Like Kinase 1 Polo-Box Domain Inhibitors to Induce Mitotic Arrest in Tumor Cells. Journal of Medicinal Chemistry. 59(15). 7089–7096. 16 indexed citations
10.
Chen, Fangjin, et al.. (2016). Designed inhibitor for nuclear localization signal of polo‐like kinase 1 induces mitotic arrest. Chemical Biology & Drug Design. 89(5). 732–740. 6 indexed citations
11.
Chen, Fangjin, Ting Xie, Yang Yue, et al.. (2015). Molecular dynamic analysis of mutant Y195I α-cyclodextrin glycosyltransferase with switched product specificity from α-cyclodextrin to γ-cyclodextrin. Journal of Molecular Modeling. 21(8). 208–208. 9 indexed citations
12.
Xu, Youjun, Ziwei Dai, Fangjin Chen, et al.. (2015). Deep Learning for Drug-Induced Liver Injury. Journal of Chemical Information and Modeling. 55(10). 2085–2093. 261 indexed citations
13.
Chen, Fangjin, et al.. (2014). Discovery of Novel Secretory Phospholipase A2Inhibitors Using Virtual Screen. Chemical Biology & Drug Design. 84(2). 216–222. 4 indexed citations
14.
Zhang, Jia, Fangjin Chen, Wenliang Li, et al.. (2012). 14-3-3ζ Interacts with Stat3 and Regulates Its Constitutive Activation in Multiple Myeloma Cells. PLoS ONE. 7(1). e29554–e29554. 29 indexed citations
15.
Cui, Wenyu, Yanfang Zhang, Shouguo Zhang, et al.. (2011). Synthesis and evaluation of new carbonic anhydrase inhibitors. Bioorganic & Medicinal Chemistry. 19(10). 3221–3228. 6 indexed citations
16.
Yang, Yong, Tie Xia, Fangjin Chen, et al.. (2011). A single-molecule study of the inhibition effect of Naringenin on transforming growth factor-β ligand–receptor binding. Chemical Communications. 47(19). 5440–5442. 40 indexed citations
17.
Bai, Hongjun, Kun Yang, Daqi Yu, et al.. (2010). Predicting kinetic constants of protein–protein interactions based on structural properties. Proteins Structure Function and Bioinformatics. 79(3). 720–734. 34 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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