Yuan‐Ping Pang

9.7k citations
187 papers · 7.8k indexed · h-index 50
Topics
Cholinesterase and Neurodegenerative Diseases (72 papers)Computational Drug Discovery Methods (42 papers)Neuroscience and Neuropharmacology Research (22 papers)

In The Last Decade

Yuan‐Ping Pang

180 papers receiving 7.7k citations

Peers

Yuan‐Ping Pang
Comparison fields: 5 of 145
  • Molecular Biology 3.5k
  • Pharmacology 3.0k
  • Computational Theory and Mathematics 1.9k
  • Organic Chemistry 1.4k
  • Plant Science 979
Replace Paul H. Axelsen with:
Paul H. Axelsen United States
Terrone L. Rosenberry United States
Adrian Goldman Finland
Jeremy R. Greenwood United States
Robert A. Copeland United States
Paul R. Carlier United States
Ana Martı́nez Spain
Jonathan B. Baell Australia
Jason E. Gestwicki United States
Giulio Vistoli Italy
Yuan‐Ping Pang relative to Paul H. Axelsen United States Paul H. Axelsen's profile →
Citations per field
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Paul H. Axelsen · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 2
3 8
4 1
5 17
6 9
7 7
8 19
9 18
10 45
11 123
12 38
13 17
14 12
15 38
16 69
17 5
18 5
19 76
20 24

About Yuan‐Ping Pang

Yuan‐Ping Pang is a scholar working on Pharmacology, Computational Theory and Mathematics and Cellular and Molecular Neuroscience, having authored 187 papers that have together received 7.8k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (72 papers), Computational Drug Discovery Methods (42 papers) and Neuroscience and Neuropharmacology Research (22 papers). The work is most often cited by research in Pharmacology (3.0k citations), Computational Theory and Mathematics (1.9k citations) and Molecular Biology (3.5k citations). Yuan‐Ping Pang has collaborated with scholars based in United States, Hong Kong and China. Frequent 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. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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