Yuan‐Ping Pang

9.7k total citations
187 papers, 7.8k citations indexed

About

Yuan‐Ping Pang is a scholar working on Molecular Biology, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, Yuan‐Ping Pang has authored 187 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Molecular Biology, 73 papers in Pharmacology and 42 papers in Computational Theory and Mathematics. Recurrent topics in Yuan‐Ping Pang's work include Cholinesterase and Neurodegenerative Diseases (72 papers), Computational Drug Discovery Methods (42 papers) and Neuroscience and Neuropharmacology Research (22 papers). Yuan‐Ping Pang is often cited by papers focused on Cholinesterase and Neurodegenerative Diseases (72 papers), Computational Drug Discovery Methods (42 papers) and Neuroscience and Neuropharmacology Research (22 papers). Yuan‐Ping Pang collaborates with scholars based in United States, Hong Kong and China. Yuan‐Ping Pang's co-authors include Yifan Han, Stephen Brimijoin, Jamal El Yazal, Paul R. Carlier, Alan P. Kozikowski, Andrés F. Oberhauser, Piotr E. Marszałek, Julio M. Fernández, Feng Hong and Scott H. Kaufmann 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

Yuan‐Ping Pang

180 papers receiving 7.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuan‐Ping Pang United States 50 3.5k 3.0k 1.9k 1.4k 979 187 7.8k
Adrian Goldman Finland 44 7.0k 2.0× 2.0k 0.7× 1.1k 0.6× 972 0.7× 858 0.9× 178 10.8k
Paul H. Axelsen United States 43 3.3k 0.9× 1.3k 0.4× 949 0.5× 979 0.7× 306 0.3× 113 6.4k
Terrone L. Rosenberry United States 52 4.1k 1.2× 4.3k 1.4× 2.5k 1.3× 1.4k 1.0× 1.4k 1.5× 149 8.9k
Robert A. Copeland United States 44 7.6k 2.2× 960 0.3× 1.2k 0.6× 1.4k 1.0× 361 0.4× 165 11.9k
Jeremy R. Greenwood United States 27 6.8k 1.9× 1.2k 0.4× 3.2k 1.7× 2.9k 2.0× 387 0.4× 67 12.1k
Mee Shelley Canada 16 5.5k 1.6× 975 0.3× 3.0k 1.6× 2.0k 1.4× 247 0.3× 37 9.0k
Ana Martı́nez Spain 57 5.3k 1.5× 3.1k 1.0× 1.7k 0.9× 3.0k 2.1× 252 0.3× 461 12.3k
Xiang‐Qun Xie United States 35 2.5k 0.7× 1.5k 0.5× 1.1k 0.6× 589 0.4× 434 0.4× 165 5.3k
Asimul Islam India 46 4.4k 1.3× 730 0.2× 1.2k 0.6× 741 0.5× 377 0.4× 316 7.7k
Jacques‐Philippe Colletier France 38 2.5k 0.7× 1.3k 0.4× 933 0.5× 627 0.4× 473 0.5× 65 4.4k

Countries citing papers authored by Yuan‐Ping Pang

Since Specialization
Citations

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

Fields of papers citing papers by Yuan‐Ping Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuan‐Ping Pang. 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 Yuan‐Ping Pang. The network helps show where Yuan‐Ping Pang may publish in the future.

Co-authorship network of co-authors of Yuan‐Ping Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan‐Ping Pang. A scholar is included among the top collaborators of Yuan‐Ping Pang 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 Yuan‐Ping Pang. Yuan‐Ping Pang 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
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Zhu, Xinglong, Pushan Guo, Yi Zhang, et al.. (2024). Effects of Li addition on the properties of biodegradable Zn–Fe–Li alloy: Microstructure, mechanical properties, corrosion behavior, and cytocompatibility. Materials Today Communications. 39. 108661–108661. 8 indexed citations
4.
Pang, Yuan‐Ping. (2022). How neocarcerand Octacid4 self-assembles with guests into irreversible noncovalent complexes and what accelerates the assembly. Communications Chemistry. 5(1). 9–9. 1 indexed citations
5.
Mak, Shinghung, Wenming Li, Hongjun Fu, et al.. (2021). Promising tacrine/huperzine A‐based dimeric acetylcholinesterase inhibitors for neurodegenerative disorders: From relieving symptoms to modifying diseases through multitarget. Journal of Neurochemistry. 158(6). 1381–1393. 17 indexed citations
6.
Hu, Shengquan, Yan‐Fang Xian, Yubo Fan, et al.. (2020). Significant combination of Aβ aggregation inhibitory and neuroprotective properties in silico, in vitro and in vivo by bis(propyl)-cognitin, a multifunctional anti-Alzheimer’s agent. European Journal of Pharmacology. 876. 173065–173065. 9 indexed citations
7.
Pang, Yuan‐Ping, et al.. (2018). Peptide-Binding Groove Contraction Linked to the Lack of T Cell Response: Using Complex Structure and Energy To Identify Neoantigens. ImmunoHorizons. 2(7). 216–225. 7 indexed citations
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Darras, Fouad H. & Yuan‐Ping Pang. (2017). On the use of the experimentally determined enzyme inhibition constant as a measure of absolute binding affinity. Biochemical and Biophysical Research Communications. 489(4). 451–454. 19 indexed citations
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Lu, Yanhui, Yuan‐Ping Pang, Yoonseong Park, et al.. (2012). Genome Organization, Phylogenies, Expression Patterns, and Three-Dimensional Protein Models of Two Acetylcholinesterase Genes from the Red Flour Beetle. PLoS ONE. 7(2). e32288–e32288. 45 indexed citations
11.
Dai, Haiming, Alyson Smith, X. Wei Meng, et al.. (2011). Transient binding of an activator BH3 domain to the Bak BH3-binding groove initiates Bak oligomerization. The Journal of Cell Biology. 194(1). 39–48. 123 indexed citations
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Pang, Yuan‐Ping, Sanjay Singh, Yang Gao, et al.. (2009). Selective and Irreversible Inhibitors of Aphid Acetylcholinesterases: Steps Toward Human-Safe Insecticides. PLoS ONE. 4(2). e4349–e4349. 38 indexed citations
13.
Zhang, Li, Hua Yu, Man Chun Cheung, et al.. (2008). Preclinical characterization of intestinal absorption and metabolism of promising anti-Alzheimer's dimer bis(7)-tacrine. International Journal of Pharmaceutics. 357(1-2). 85–94. 17 indexed citations
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Wang, Qi & Yuan‐Ping Pang. (2007). Normal-Mode-Analysis–Monitored Energy Minimization Procedure for Generating Small–Molecule Bound Conformations. PLoS ONE. 2(10). e1025–e1025. 12 indexed citations
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Ekström, Fredrik, Crister Åstot, & Yuan‐Ping Pang. (2007). Novel Nerve-Agent Antidote Design Based on Crystallographic and Mass Spectrometric Analyses of Tabun-Conjugated Acetylcholinesterase in Complex with Antidotes. Clinical Pharmacology & Therapeutics. 82(3). 282–293. 69 indexed citations
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Pang, Yuan‐Ping, et al.. (2007). Convenient synthesis of a library of discrete hydroxamic acids using the hydroxythiophenol (Marshall) resin. Tetrahedron Letters. 49(7). 1103–1106. 5 indexed citations
18.
Zhang, Jian, et al.. (2004). Inhibition by bis(7)-tacrine of 5-HT-activated current in rat TG neurons. Neuroreport. 15(8). 1335–1338. 5 indexed citations
19.
Sun, Hong, Jamal El Yazal, Oksana Lockridge, et al.. (2001). Predicted Michaelis-Menten Complexes of Cocaine-Butyrylcholinesterase. Journal of Biological Chemistry. 276(12). 9330–9336. 76 indexed citations
20.
Wang, Hong, et al.. (1999). Bis(7)-tacrine, a novel dimeric AChE inhibitor, is a potent GABAA receptor antagonist. Neuroreport. 10(4). 795–800. 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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