Jingchen Zhai

442 total citations
16 papers, 345 citations indexed

About

Jingchen Zhai is a scholar working on Computational Theory and Mathematics, Molecular Biology and Pharmacology. According to data from OpenAlex, Jingchen Zhai has authored 16 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Theory and Mathematics, 9 papers in Molecular Biology and 4 papers in Pharmacology. Recurrent topics in Jingchen Zhai's work include Computational Drug Discovery Methods (11 papers), Protein Structure and Dynamics (4 papers) and Pharmacogenetics and Drug Metabolism (4 papers). Jingchen Zhai is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Protein Structure and Dynamics (4 papers) and Pharmacogenetics and Drug Metabolism (4 papers). Jingchen Zhai collaborates with scholars based in United States and China. Jingchen Zhai's co-authors include Jie Ren, Lixia Li, Minyue Li, Meiju Zhang, Dan Su, Junmei Wang, Beihong Ji, Xinyue Wu, Heng Cai and Viet Hoang Man and has published in prestigious journals such as Physical Chemistry Chemical Physics, Nature Structural & Molecular Biology and Molecules.

In The Last Decade

Jingchen Zhai

13 papers receiving 344 citations

Peers

Countries citing papers authored by Jingchen Zhai

Since Specialization

Citations

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

Fields of papers citing papers by Jingchen Zhai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingchen Zhai

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

All Works

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16 of 16 papers shown

#	Work	Indexed citations
1	Cytoplasmic PXR regulates glucose metabolism by binding mRNAs and modulating their stability 2025 ·Nature Structural & Molecular Biology ·(unknown), Zehua Wang, Sihan Li, Dhamotharan Pattarayan, (unknown), Jingchen Zhai, Yu Zhang, (unknown), Meishu Xu, (unknown), Junmei Wang, Xiaochao Ma, Sridhar Mani, Wen Xie, Min Zhang, Da Yang	0
2	Advancing promiscuous aggregating inhibitor analysis with intelligent machine learning classification 2025 ·Briefings in Bioinformatics ·(unknown), Beihong Ji, Jingchen Zhai, Junmei Wang	0
3	NNKcat: deep neural network to predict catalytic constants (Kcat) by integrating protein sequence and substrate structure with enhanced data imbalance handling 2025 ·Briefings in Bioinformatics ·Jingchen Zhai, (unknown), (unknown), Yue Liu, Hao Tang, Lei Xie, Junmei Wang	1
4	Geometry Optimization Algorithms in Conjunction with the Machine Learning Potential ANI-2x Facilitate the Structure-Based Virtual Screening and Binding Mode Prediction 2024 ·Biomolecules ·(unknown), Xibing He, Beihong Ji, (unknown), (unknown), (unknown), Jingchen Zhai, Dongxiao Hao, Junmei Wang	0
5	Comparison and summary of in silico prediction tools for CYP450-mediated drug metabolism 2023 ·Drug Discovery Today ·Jingchen Zhai, Viet Hoang Man, Beihong Ji, (unknown), Junmei Wang	22
6	In Silico Screening of Natural Flavonoids against 3-Chymotrypsin-like Protease of SARS-CoV-2 Using Machine Learning and Molecular Modeling 2023 ·Molecules ·(unknown), (unknown), Beihong Ji, Xibing He, (unknown), (unknown), Jingchen Zhai, Junmei Wang	4
7	Phosphorylation at Ser289 Enhances the Oligomerization of Tau Repeat R2 2023 ·Journal of Chemical Information and Modeling ·Viet Hoang Man, Xibing He, (unknown), (unknown), (unknown), (unknown), Jingchen Zhai, Beihong Ji, Jie Gao, Junmei Wang	15
8	In Silico Prediction of Pharmacokinetic Profile for Human Oral Drug Candidates Which Lack Clinical Pharmacokinetic Experiment Data 2022 ·European Journal of Drug Metabolism and Pharmacokinetics ·Jingchen Zhai, Beihong Ji, Shuhan Liu, (unknown), (unknown), Junmei Wang	2
9	Physiologically-Based Pharmacokinetics Modeling for Hydroxychloroquine as a Treatment for Malaria and Optimized Dosing Regimens for Different Populations 2022 ·Journal of Personalized Medicine ·Jingchen Zhai, Beihong Ji, (unknown), Shuhan Liu, (unknown), Junmei Wang	4
10	In silico binding affinity prediction for metabotropic glutamate receptors using both endpoint free energy methods and a machine learning-based scoring function 2022 ·Physical Chemistry Chemical Physics ·Jingchen Zhai, Xibing He, (unknown), Zhuoya Wan, Beihong Ji, Shuhan Liu, Song Li, Junmei Wang	3
11	A multiple-step in silico screening protocol to identify allosteric inhibitors of Spike–hACE2 binding 2022 ·Physical Chemistry Chemical Physics ·Jingchen Zhai, Xibing He, Viet Hoang Man, (unknown), Beihong Ji, (unknown), Junmei Wang	8
12	In silico binding profile characterization of SARS-CoV-2 spike protein and its mutants bound to human ACE2 receptor 2021 ·Briefings in Bioinformatics ·(unknown), Xibing He, Jingchen Zhai, Beihong Ji, Viet Hoang Man, Junmei Wang	22
13	Incorporating structural similarity into a scoring function to enhance the prediction of binding affinities 2021 ·Journal of Cheminformatics ·Beihong Ji, Xibing He, (unknown), Jingchen Zhai, Viet Hoang Man, Shuhan Liu, Junmei Wang	4
14	Machine learning on ligand-residue interaction profiles to significantly improve binding affinity prediction 2021 ·Briefings in Bioinformatics ·Beihong Ji, Xibing He, Jingchen Zhai, (unknown), Viet Hoang Man, Junmei Wang	24
15	Anti-inflammatory effects of Aureusidin in LPS-stimulated RAW264.7 macrophages via suppressing NF-κB and activating ROS- and MAPKs-dependent Nrf2/HO-1 signaling pathways 2019 ·Toxicology and Applied Pharmacology ·Jie Ren, Dan Su, Lixia Li, Heng Cai, Meiju Zhang, Jingchen Zhai, Minyue Li, Xinyue Wu, (unknown)	153
16	Gambogic acid induces heme oxygenase-1 through Nrf2 signaling pathway and inhibits NF-κB and MAPK activation to reduce inflammation in LPS-activated RAW264.7 cells 2018 ·Biomedicine & Pharmacotherapy ·Jie Ren, Lixia Li, Yue Wang, Jingchen Zhai, Guangtong Chen, Kun Hu	83

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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