Yuexian Li

51 papers receiving 1.6k citations

Hit Papers

Equations for InsP3 Receptor-mediated [Ca2+]i Oscillation...19942026200420151994100200300400

Peers

Yuexian Li
Comparison fields: 5 of 133
  • Molecular Biology 573
  • Electrical and Electronic Engineering 319
  • Cellular and Molecular Neuroscience 312
  • Computer Networks and Communications 287
  • Statistical and Nonlinear Physics 202
Replace Leonardo Sacconi with:
Leonardo Sacconi Italy
Marjan Slak Rupnik Slovenia
Denise S. Walker United Kingdom
Michal Cifra Czechia
William F. Pickard United States
Gerda de Vries Canada
Netta Cohen United Kingdom
Hiroshi Kori Japan
Tony Tsai United States
Yuexian Li relative to Leonardo Sacconi Italy Leonardo Sacconi's profile →
Citations per field
00.5×3.6×
Leonardo Sacconi · 1×
Citations per year

Countries citing papers authored by Yuexian Li

Since Specialization
Citations

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

Fields of papers citing papers by Yuexian Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuexian Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yuexian Li. A scholar is included among the top collaborators of Yuexian Li 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 Yuexian Li. Yuexian Li 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
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Equations for InsP3 Receptor-mediated [Ca2+]i Oscillations Derived from a Detailed Kinetic Model: A Hodgkin-Huxley Like Formalismbreakdown →
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About Yuexian Li

Yuexian Li is a scholar working on Electronic, Optical and Magnetic Materials, Reproductive Medicine and Electrical and Electronic Engineering, having authored 54 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advancements in Battery Materials (16 papers), Supercapacitor Materials and Fabrication (15 papers) and Advanced Battery Materials and Technologies (14 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (312 citations), Statistical and Nonlinear Physics (202 citations) and Computer Networks and Communications (287 citations). Yuexian Li has collaborated with scholars based in China, Canada and United States. Frequent co-authors include John Rinzel, Leah Edelstein‐Keshet, Ryan Lukeman, Qinghua Tian, Stanko S. Stojilković, Fredrick Van Goor, Jian Song, Qing Huang, Qi Hu and Enhui Wu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

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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