Hui Lü

14.2k total citations · 4 hit papers
314 papers, 9.7k citations indexed

About

Hui Lü is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Genetics. According to data from OpenAlex, Hui Lü has authored 314 papers receiving a total of 9.7k indexed citations (citations by other indexed papers that have themselves been cited), including 153 papers in Molecular Biology, 29 papers in Atomic and Molecular Physics, and Optics and 26 papers in Genetics. Recurrent topics in Hui Lü's work include Protein Structure and Dynamics (33 papers), RNA and protein synthesis mechanisms (28 papers) and Force Microscopy Techniques and Applications (24 papers). Hui Lü is often cited by papers focused on Protein Structure and Dynamics (33 papers), RNA and protein synthesis mechanisms (28 papers) and Force Microscopy Techniques and Applications (24 papers). Hui Lü collaborates with scholars based in China, United States and Hong Kong. Hui Lü's co-authors include Klaus Schulten, Jeffrey Skolnick, Hongbin Li, Julio M. Fernández, Mariano Carrión‐Vázquez, Piotr E. Marszałek, Andrés F. Oberhauser, Morten Källberg, Jinbo Xu and Zhiyong Wang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Hui Lü

293 papers receiving 9.5k citations

Hit Papers

Template-based protein structure modeling u... 1998 2026 2007 2016 2012 1999 1998 2022 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hui Lü China 43 5.9k 2.5k 1.2k 1.2k 629 314 9.7k
Rosemary Braun United States 20 10.1k 1.7× 1.9k 0.7× 2.4k 2.0× 1.1k 0.9× 746 1.2× 46 15.8k
Nathan Baker United States 42 10.6k 1.8× 1.6k 0.6× 2.2k 1.8× 1.0k 0.9× 1.1k 1.7× 114 15.4k
David Sept United States 41 6.7k 1.1× 788 0.3× 1.1k 0.9× 2.5k 2.1× 862 1.4× 110 11.2k
Emil Alexov United States 50 7.2k 1.2× 1.2k 0.5× 1.7k 1.4× 572 0.5× 853 1.4× 196 9.3k
Sriram Subramaniam United States 63 7.0k 1.2× 692 0.3× 1.1k 0.9× 573 0.5× 799 1.3× 200 14.2k
Leslie M. Loew United States 60 6.3k 1.1× 1.3k 0.5× 848 0.7× 1.0k 0.9× 306 0.5× 230 12.6k
J.M. Carazo Spain 55 6.5k 1.1× 552 0.2× 1.3k 1.1× 569 0.5× 1.2k 1.9× 279 11.1k
Henning Stahlberg Switzerland 56 7.5k 1.3× 950 0.4× 963 0.8× 920 0.8× 1.2k 1.8× 220 12.3k
Nir Ben‐Tal Israel 57 11.8k 2.0× 732 0.3× 1.8k 1.5× 1.3k 1.1× 1.8k 2.9× 186 15.7k
Joel S. Bader United States 49 5.5k 0.9× 1.4k 0.6× 210 0.2× 739 0.6× 1.3k 2.1× 127 9.7k

Countries citing papers authored by Hui Lü

Since Specialization
Citations

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

Fields of papers citing papers by Hui Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Lü

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Lü. A scholar is included among the top collaborators of Hui Lü 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 Hui Lü. Hui Lü 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
2.
Wang, Xinbo, et al.. (2025). HILAMA: High-dimensional multi-omics mediation analysis with latent confounding. BMC Medical Research Methodology. 25(1). 239–239.
3.
Xu, Pengfei, Liyuan Wang, Shuai Liu, et al.. (2024). scGO: interpretable deep neural network for cell status annotation and disease diagnosis. Briefings in Bioinformatics. 26(1). 1 indexed citations
4.
Zhao, Tingting, et al.. (2024). Clinical and genetic characterization of 47 Chinese pediatric patients with Pitt–Hopkins syndrome: a retrospective study. Orphanet Journal of Rare Diseases. 19(1). 51–51.
5.
Dai, Fang, et al.. (2024). Enhancing the fairness of AI prediction models by Quasi-Pareto improvement among heterogeneous thyroid nodule population. Nature Communications. 15(1). 1958–1958. 12 indexed citations
6.
Ma, Wenhao, Yuchen Sun, Ronghui Yan, et al.. (2024). OXCT1 functions as a succinyltransferase, contributing to hepatocellular carcinoma via succinylating LACTB. Molecular Cell. 84(3). 538–551.e7. 43 indexed citations
7.
Jin, Honglin, X. Wang, Shi Cheng, et al.. (2024). Solving dynamic multimodal optimization problems via a niching-based brain storm optimization with two archives algorithm. Swarm and Evolutionary Computation. 89. 101649–101649. 7 indexed citations
8.
Xie, Haidong, et al.. (2023). Facile synthesis of C, N, P co-doped SiO as anode material for lithium-ion batteries with excellent rate performance. Journal of Energy Storage. 64. 107147–107147. 23 indexed citations
9.
Wang, Zhaobin, et al.. (2023). Multiple measurement analysis of resting-state fMRI for ADHD classification in adolescent brain from the ABCD study. Translational Psychiatry. 13(1). 45–45. 17 indexed citations
10.
Lü, Hui, Tianlv Xu, Herbert Früchtl, et al.. (2023). Response of the mechanical and chiral character of ethane to ultra‐fast laser pulses. Journal of Computational Chemistry. 45(3). 150–158. 3 indexed citations
12.
Liu, Feng, Hui Lü, Biao Dong, et al.. (2023). Systematic Evaluation of the Viable Microbiome in the Human Oral and Gut Samples with Spike-in Gram+/– Bacteria. mSystems. 8(2). e0073822–e0073822. 14 indexed citations
13.
Ma, Ji, et al.. (2022). Ixazomib Combined With Autologous Stem Cell Transplantation for POEMS Syndrome: A Case Report and Meta-Analysis. Technology in Cancer Research & Treatment. 21. 2213865522–2213865522. 2 indexed citations
14.
Lü, Hui, et al.. (2022). Inferring Time-Lagged Causality Using the Derivative of Single-Cell Expression. International Journal of Molecular Sciences. 23(6). 3348–3348. 1 indexed citations
15.
Jiang, Youzhou, et al.. (2022). Novel anticorrosive coating of silicone acrylic resin modified by graphene oxide and polyaniline. Corrosion Reviews. 40(5). 501–511. 1 indexed citations
16.
Genchev, Georgi Z., et al.. (2021). Demographics, in-hospital analysis, and prevalence of 33 rare diseases with effective treatment in Shanghai. Orphanet Journal of Rare Diseases. 16(1). 262–262. 5 indexed citations
17.
Garcia-Manyes, Sergi, Jingyuan Li, Itay Barel, et al.. (2010). Probing static disorder in Arrhenius kinetics by single-molecule force spectroscopy. Proceedings of the National Academy of Sciences. 107(25). 11336–11340. 56 indexed citations
18.
Genchev, Georgi Z., Morten Källberg, Gamze Gürsoy, et al.. (2009). Mechanical Signaling on the Single Protein Level Studied Using Steered Molecular Dynamics. Cell Biochemistry and Biophysics. 55(3). 141–152. 29 indexed citations
19.
Manna, Debasis, Nitin Bhardwaj, Mohsin Vora, et al.. (2008). Differential Roles of Phosphatidylserine, PtdIns(4,5)P2, and PtdIns(3,4,5)P3 in Plasma Membrane Targeting of C2 Domains. Journal of Biological Chemistry. 283(38). 26047–26058. 72 indexed citations
20.
Langlois, Robert, Matthew B. Carson, Nitin Bhardwaj, & Hui Lü. (2007). Learning to Translate Sequence and Structure to Function: Identifying DNA Binding and Membrane Binding Proteins. Annals of Biomedical Engineering. 35(6). 1043–1052. 15 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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