S.L.-F. Chan

453 citations
24 papers · 384 · h-index 10

Impact in

Papers in

S.L.-F. Chan

22 papers receiving 350 citations

Peers

S.L.-F. Chan
Comparison fields: 5 of 95
  • Computer Graphics and Computer-Aided Design 48
  • Computational Theory and Mathematics 73
  • Molecular Biology 204
  • Cellular and Molecular Neuroscience 47
  • Computational Mechanics 54
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Richard Ellson United States
Junta Doi Japan
Erica Flapan United States
Wesley M. Botello‐Smith United States
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Talha Bin Masood Sweden
Daniel Jönsson Sweden
Xiangyu Jia China
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Citations per field
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Citations per year

Countries citing papers authored by S.L.-F. Chan

Since Specialization
Citations

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

Fields of papers citing papers by S.L.-F. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.L.-F. Chan. 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 S.L.-F. Chan. The network helps show where S.L.-F. Chan may publish in the future.

Co-authors

The 24 scholars most cited alongside S.L.-F. Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S.L.-F. Chan Line = papers co-authored together S.L.-F. Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199883
2 200561
3 199838
4 201031
5 200728
6 199727
7 199421
8 201216
9 197315
10 201710
11 20059
12 19969
13 19928
14 20087
15 19745
16 20035
17 19943
18 19952
19 19942
20 19721

About S.L.-F. Chan

S.L.-F. Chan is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Materials Chemistry, Computational Theory and Mathematics and Physical and Theoretical Chemistry, having authored 24 papers that have together received 384 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Quantum, superfluid, helium dynamics (4 papers), Spectroscopy and Quantum Chemical Studies (4 papers), Protein Structure and Dynamics (3 papers), Receptor Mechanisms and Signaling (3 papers), Nicotinic Acetylcholine Receptors Study (3 papers), Molecular Junctions and Nanostructures (3 papers) and Thermography and Photoacoustic Techniques (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (48 citations), Computational Theory and Mathematics (73 citations), Molecular Biology (204 citations), Cellular and Molecular Neuroscience (47 citations) and Computational Mechanics (54 citations). S.L.-F. Chan has collaborated with scholars based in Canada, United Kingdom and France. Frequent co-authors include Enrico O. Purisima, P.‐L. Chau, Paul Labute, Carmay Lim, Sarah C. R. Lummis, Andrew J. Thompson, David C. Reeves, Kerry L. Price, Sorel Mureşan and Traian Sulea. Their work appears in journals such as Journal of Computer-Aided Molecular Design, The Journal of Physical Chemistry, Journal of Low Temperature Physics, Chemical Physics Letters and Journal of Applied Physics.

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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