Fu Chen

1.8k total citations · 1 hit paper
26 papers, 1.4k citations indexed

About

Fu Chen is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pathology and Forensic Medicine. According to data from OpenAlex, Fu Chen has authored 26 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Fu Chen's work include Protein Structure and Dynamics (7 papers), Computational Drug Discovery Methods (7 papers) and Enzyme Structure and Function (4 papers). Fu Chen is often cited by papers focused on Protein Structure and Dynamics (7 papers), Computational Drug Discovery Methods (7 papers) and Enzyme Structure and Function (4 papers). Fu Chen collaborates with scholars based in China, Czechia and Sweden. Fu Chen's co-authors include Tingjun Hou, Huiyong Sun, Peichen Pan, Youyong Li, Dan Li, Zhe Wang, Hui Liu, Feng Zhu, Ercheng Wang and Gaoqi Weng and has published in prestigious journals such as Journal of Biological Chemistry, ACS Applied Materials & Interfaces and Physical Chemistry Chemical Physics.

In The Last Decade

Fu Chen

26 papers receiving 1.4k citations

Hit Papers

Assessing the performance of the MM/PBSA and MM/GBSA meth... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fu Chen China 16 882 376 165 112 108 26 1.4k
Aman Chandra Kaushik China 25 923 1.0× 411 1.1× 241 1.5× 93 0.8× 143 1.3× 94 1.7k
Xiaohua Ma China 17 910 1.0× 335 0.9× 110 0.7× 105 0.9× 69 0.6× 41 1.6k
Marie‐Dominique Devignes France 22 1.0k 1.1× 206 0.5× 116 0.7× 254 2.3× 95 0.9× 88 2.1k
Michael Hsing Canada 19 950 1.1× 600 1.6× 266 1.6× 71 0.6× 178 1.6× 35 1.6k
Ðắc-Trung Nguyễn United States 25 1.1k 1.2× 790 2.1× 122 0.7× 194 1.7× 131 1.2× 40 1.9k
Edward Price United States 9 1.2k 1.3× 345 0.9× 58 0.4× 199 1.8× 66 0.6× 13 1.9k
Sam Michael United States 22 865 1.0× 434 1.2× 285 1.7× 184 1.6× 51 0.5× 51 1.9k
Yanmin Zhang China 22 766 0.9× 406 1.1× 92 0.6× 186 1.7× 87 0.8× 93 1.5k
William D. Pennie United States 17 893 1.0× 440 1.2× 49 0.3× 196 1.8× 80 0.7× 23 1.8k
Matthieu Montès France 27 870 1.0× 600 1.6× 91 0.6× 185 1.7× 122 1.1× 58 1.7k

Countries citing papers authored by Fu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Fu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Fu Chen. A scholar is included among the top collaborators of Fu 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 Fu Chen. Fu 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.
Zhang, Shijin, et al.. (2023). Does Chinese companies' OFDI enhance their own green technology innovation?. Finance research letters. 56. 104113–104113. 38 indexed citations
2.
Xiao, Jian, et al.. (2022). Mesoporous bioactive glass/bacterial cellulose composite scaffolds for bone support materials. Colloids and Surfaces A Physicochemical and Engineering Aspects. 642. 128693–128693. 19 indexed citations
4.
Song, Xinmao, Shengzi Wang, Ji Li, et al.. (2019). Induction chemotherapy plus nimotuzumab followedby concurrent chemoradiotherapy for advancednasopharyngeal carcinoma. Archives of Medical Science. 17(5). 1317–1324. 2 indexed citations
5.
Weng, Gaoqi, Ercheng Wang, Fu Chen, et al.. (2019). Assessing the performance of MM/PBSA and MM/GBSA methods. 9. Prediction reliability of binding affinities and binding poses for protein–peptide complexes. Physical Chemistry Chemical Physics. 21(19). 10135–10145. 109 indexed citations
6.
Qiu, Feng, Chunlei Yuan, Jianhua Xu, et al.. (2019). Role of B7-H4 in the Progression and Prognosis of Cervical Inflammation to Cancer After Human Papilloma Virus Infection. Journal of Biomedical Nanotechnology. 15(5). 1043–1051. 8 indexed citations
7.
Chen, Fu, Huiyong Sun, Junmei Wang, et al.. (2018). Assessing the performance of MM/PBSA and MM/GBSA methods. 8. Predicting binding free energies and poses of protein–RNA complexes. RNA. 24(9). 1183–1194. 97 indexed citations
8.
Chen, Fu, et al.. (2018). Applying the M2 Statistic to Evaluate the Fit of Diagnostic Classification Models in the Presence of Attribute Hierarchies. Frontiers in Psychology. 9. 1875–1875. 7 indexed citations
9.
Sun, Huiyong, Lili Duan, Fu Chen, et al.. (2018). Assessing the performance of MM/PBSA and MM/GBSA methods. 7. Entropy effects on the performance of end-point binding free energy calculation approaches. Physical Chemistry Chemical Physics. 20(21). 14450–14460. 261 indexed citations
10.
Sun, Huiyong, Hui Liu, Fu Chen, et al.. (2017). Comparative analyses of structural features and scaffold diversity for purchasable compound libraries. Journal of Cheminformatics. 9(1). 25–25. 29 indexed citations
11.
Feng, Ting, Fu Chen, Yu Kang, et al.. (2017). HawkRank: a new scoring function for protein–protein docking based on weighted energy terms. Journal of Cheminformatics. 9(1). 66–66. 53 indexed citations
12.
Chen, Fu, Huiyong Sun, Hui Liu, et al.. (2017). Prediction of luciferase inhibitors by the high-performance MIEC-GBDT approach based on interaction energetic patterns. Physical Chemistry Chemical Physics. 19(15). 10163–10176. 24 indexed citations
13.
Lei, Tailong, Fu Chen, Hui Liu, et al.. (2017). ADMET Evaluation in Drug Discovery. Part 17: Development of Quantitative and Qualitative Prediction Models for Chemical-Induced Respiratory Toxicity. Molecular Pharmaceutics. 14(7). 2407–2421. 63 indexed citations
14.
Liu, Hui, Fu Chen, Huiyong Sun, Dan Li, & Tingjun Hou. (2017). Improving the Efficiency of Non-equilibrium Sampling in the Aqueous Environment via Implicit-Solvent Simulations. Journal of Chemical Theory and Computation. 13(4). 1827–1836. 5 indexed citations
15.
Xie, Jing‐Dun, et al.. (2016). Old age at diagnosis increases risk of tumor progression in nasopharyngeal cancer. Oncotarget. 7(40). 66170–66181. 8 indexed citations
16.
Song, Xinmao, et al.. (2016). The value of circulating CYFRA21-1 expression in patients with nasopharyngeal carcinoma: a study of 529 subjects. International Journal of Clinical Oncology. 21(6). 1038–1045. 9 indexed citations
17.
Qu, Rui, Shu‐Shen Liu, Fu Chen, & Kai Li. (2016). Complex toxicological interaction between ionic liquids and pesticides to Vibrio qinghaiensis sp.-Q67. RSC Advances. 6(25). 21012–21018. 23 indexed citations
18.
Chen, Fu, Hui Liu, Huiyong Sun, et al.. (2016). Assessing the performance of the MM/PBSA and MM/GBSA methods. 6. Capability to predict protein–protein binding free energies and re-rank binding poses generated by protein–protein docking. Physical Chemistry Chemical Physics. 18(32). 22129–22139. 374 indexed citations breakdown →
19.
Chen, Fu & Donglian Qi. (2010). Robust low complexity predictive control of constrained piecewise affine systems with bounded disturbances. International Journal of Control Automation and Systems. 8(2). 439–444. 4 indexed citations
20.
Ingham, Robert J., Geraldine Mbamalu, Gerald Gish, et al.. (2005). The Epstein-Barr Virus Protein, Latent Membrane Protein 2A, Co-opts Tyrosine Kinases Used by the T Cell Receptor. Journal of Biological Chemistry. 280(40). 34133–34142. 24 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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