Kai Zhu

2.8k total citations · 1 hit paper
29 papers, 2.2k citations indexed

About

Kai Zhu is a scholar working on Molecular Biology, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, Kai Zhu has authored 29 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 9 papers in Materials Chemistry and 5 papers in Organic Chemistry. Recurrent topics in Kai Zhu's work include Protein Structure and Dynamics (12 papers), Enzyme Structure and Function (9 papers) and Computational Drug Discovery Methods (5 papers). Kai Zhu is often cited by papers focused on Protein Structure and Dynamics (12 papers), Enzyme Structure and Function (9 papers) and Computational Drug Discovery Methods (5 papers). Kai Zhu collaborates with scholars based in United States, China and Germany. Kai Zhu's co-authors include Richard A. Friesner, Suwen Zhao, Robert Abel, Jianing Li, Yixiang Cao, Tyler Day, Kenneth Borrelli, Dora Toledo Warshaviak, Edward Harder and Ramy Farid and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Kai Zhu

29 papers receiving 2.1k citations

Hit Papers

align trajectories

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.

The VSGB 2.0 model: A next generation energy model for high resolution protein structure modeling

2011 875 citations Jianing Li, Robert Abel et al. Proteins Structure Function and Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kai Zhu United States	18	1.5k	622	454	260	227	29	2.2k
Jung‐Hsin Lin Taiwan	24	1.7k 1.1×	585 0.9×	284 0.6×	217 0.8×	258 1.1×	61	2.4k
David L. Pincus United States	10	2.0k 1.4×	496 0.8×	322 0.7×	339 1.3×	200 0.9×	11	3.0k
Chaya S. Rapp United States	12	2.0k 1.4×	623 1.0×	378 0.8×	471 1.8×	218 1.0×	14	2.8k
Brian Y. Feng United States	11	1.2k 0.8×	599 1.0×	322 0.7×	157 0.6×	145 0.6×	18	1.9k
Pedro A. Valiente Cuba	16	1.3k 0.9×	541 0.9×	406 0.9×	103 0.4×	225 1.0×	47	2.4k
T. Dwight McGee United States	7	2.4k 1.6×	813 1.3×	519 1.1×	313 1.2×	420 1.9×	8	3.7k
Francesca Spyrakis Italy	30	1.7k 1.2×	646 1.0×	306 0.7×	410 1.6×	257 1.1×	113	2.9k
Erin S. D. Bolstad United States	11	1.3k 0.9×	942 1.5×	329 0.7×	303 1.2×	180 0.8×	15	2.3k
David Lagorce France	25	1.4k 0.9×	933 1.5×	361 0.8×	152 0.6×	191 0.8×	34	2.6k
Hui Sun Lee United States	22	1.6k 1.1×	322 0.5×	310 0.7×	224 0.9×	148 0.7×	43	2.3k

Countries citing papers authored by Kai Zhu

Since Specialization

Citations

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

Fields of papers citing papers by Kai Zhu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Zhu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Xiang, et al.. (2025). Design of Novel Furan β-Butenolide Compounds with Low Bee Toxicity Based on the Binding Pharmacophore Model to AChBP. Journal of Agricultural and Food Chemistry. 73(16). 9963–9972. 1 indexed citations

Zhu, Kai, Xiang Li, Qing Han, et al.. (2023). Design and structure optimization of novel butenolide derivatives as low bee-toxicity candidates. Journal of Molecular Structure. 1282. 135257–135257. 5 indexed citations

Song, Xinning, Zhiyang Jiang, Jianing Li, et al.. (2022). Synthesis, antifungal activity, and molecular dynamics study of novel geranyl aromatic sulfonamide compounds as potential complex III inhibitors. Medicinal Chemistry Research. 31(4). 628–642. 3 indexed citations

Jiang, Zhiyang, Dongmei Shi, Huilin Li, et al.. (2022). Rational Design and Identification of Novel Piperine Derivatives as Multichitinase Inhibitors. Journal of Agricultural and Food Chemistry. 70(33). 10326–10336. 22 indexed citations

Zhu, Kai, et al.. (2022). Modeling receptor flexibility in the structure-based design of KRASG12C inhibitors. Journal of Computer-Aided Molecular Design. 36(8). 591–604. 8 indexed citations

Ouellette, David, et al.. (2022). A novel method for in silico assessment of Methionine oxidation risk in monoclonal antibodies: Improvement over the 2-shell model. PLoS ONE. 17(12). e0279689–e0279689. 10 indexed citations

Zhu, Kai, Alexandre Beautrait, Jérémie Vendôme, et al.. (2022). Induced-Fit Docking Enables Accurate Free Energy Perturbation Calculations in Homology Models. Journal of Chemical Theory and Computation. 18(9). 5710–5724. 23 indexed citations

Han, Qing, Nan Wu, Jingyu Zhang, et al.. (2021). A Piperine-Based Scaffold as a Novel Starting Point to Develop Inhibitors against the Potent Molecular Target OfChtI. Journal of Agricultural and Food Chemistry. 69(27). 7534–7544. 28 indexed citations

Xu, Xiaoying, Zhaokai Yang, Kai Zhu, et al.. (2020). Computational insight on the binding and selectivity of target-subunit-dependent for neonicotinoid insecticides. Journal of Molecular Graphics and Modelling. 98. 107586–107586. 17 indexed citations

10.

Chowdhury, Sandipan, Sidney H. Kennedy, Kai Zhu, et al.. (2018). Discovery of covalent enzyme inhibitors using virtual docking of covalent fragments. Bioorganic & Medicinal Chemistry Letters. 29(1). 36–39. 15 indexed citations

11.

Zhu, Kai & Jin‐Song Yang. (2016). Synthesis of tri- and tetrasaccharide glycosides of (4S)-4-hydroxy-d-proline relevant to the cell wall O-glycans of green alga Chlamydomonas reinhardtii. Tetrahedron. 72(22). 3113–3123. 14 indexed citations

12.

Unger, Mandy, Anna Marei Eichhoff, Stephan Menzel, et al.. (2015). Selection of Nanobodies that Block the Enzymatic and Cytotoxic Activities of the Binary Clostridium Difficile Toxin CDT. Scientific Reports. 5(1). 7850–7850. 54 indexed citations

13.

Miller, Edward B., et al.. (2013). Prediction of Long Loops with Embedded Secondary Structure Using the Protein Local Optimization Program. Journal of Chemical Theory and Computation. 9(3). 1846–1864. 9 indexed citations

14.

Zhu, Kai & Tyler Day. (2013). Ab initio structure prediction of the antibody hypervariable H3 loop. Proteins Structure Function and Bioinformatics. 81(6). 1081–1089. 24 indexed citations

15.

Goldfeld, Dahlia A., Kai Zhu, Thijs Beuming, & Richard A. Friesner. (2012). Loop prediction for a GPCR homology model: Algorithms and results. Proteins Structure Function and Bioinformatics. 81(2). 214–228. 23 indexed citations

16.

Goldfeld, Dahlia A., Kai Zhu, Thijs Beuming, & Richard A. Friesner. (2011). Successful prediction of the intra- and extracellular loops of four G-protein-coupled receptors. Proceedings of the National Academy of Sciences. 108(20). 8275–8280. 58 indexed citations

17.

Goldfeld, Dahlia A., Kai Zhu, Thijs Beuming, & Richard A. Friesner. (2011). Reply to Nikiforovich et al.: Restoration of the loop regions of G-protein–coupled receptors. Proceedings of the National Academy of Sciences. 108(30). 3 indexed citations

18.

Zhao, Suwen, Kai Zhu, Jianing Li, & Richard A. Friesner. (2011). Progress in super long loop prediction. Proteins Structure Function and Bioinformatics. 79(10). 2920–2935. 40 indexed citations

19.

Sellers, Benjamin D., Kai Zhu, Suwen Zhao, Richard A. Friesner, & Matthew P. Jacobson. (2008). Toward better refinement of comparative models: Predicting loops in inexact environments. Proteins Structure Function and Bioinformatics. 72(3). 959–971. 71 indexed citations

20.

Zhu, Kai, Michael R. Shirts, & Richard A. Friesner. (2007). Improved Methods for Side Chain and Loop Predictions via the Protein Local Optimization Program: Variable Dielectric Model for Implicitly Improving the Treatment of Polarization Effects. Journal of Chemical Theory and Computation. 3(6). 2108–2119. 96 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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