Mai Suan Li

7.5k citations
229 papers · 5.0k indexed · h-index 39
Topics
Protein Structure and Dynamics (72 papers)Alzheimer's disease research and treatments (43 papers)Physics of Superconductivity and Magnetism (37 papers)

In The Last Decade

Mai Suan Li

218 papers receiving 5.0k citations

Peers

Mai Suan Li
Comparison fields: 5 of 160
  • Molecular Biology 2.9k
  • Physiology 1.5k
  • Materials Chemistry 853
  • Computational Theory and Mathematics 744
  • Atomic and Molecular Physics, and Optics 717
Replace Carlo Camilloni with:
Carlo Camilloni Italy
Jeetain Mittal United States
Sander Pronk United States
Bernhard Rupp United States
Alessandro Barducci Switzerland
Xavier Daura Spain
Francesco Luigi Gervasio United Kingdom
Xuhui Huang Hong Kong
Paolo Carloni Italy
Kyle A. Beauchamp United States
Mai Suan Li relative to Carlo Camilloni Italy Carlo Camilloni's profile →
Citations per field
00.5×1.5×2.2×
Carlo Camilloni · 1×
Citations per year

Countries citing papers authored by Mai Suan Li

Since Specialization
Citations

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

Fields of papers citing papers by Mai Suan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mai Suan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Mai Suan Li. A scholar is included among the top collaborators of Mai Suan 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 Mai Suan Li. Mai Suan 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
1 1
2 0
3 0
4 1
5 0
6 4
7 0
8 7
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10 20
11 9
12 13
13 20
14 1
15 17
16 3
17 33
18 8
19 6
20 44

About Mai Suan Li

Mai Suan Li is a scholar working on Condensed Matter Physics, Structural Biology and Computational Theory and Mathematics, having authored 229 papers that have together received 5.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (72 papers), Alzheimer's disease research and treatments (43 papers) and Physics of Superconductivity and Magnetism (37 papers). The work is most often cited by research in Physiology (1.5k citations), Condensed Matter Physics (604 citations) and Computational Theory and Mathematics (744 citations). Mai Suan Li has collaborated with scholars based in Poland, Vietnam and United States. Frequent co-authors include Phuong H. Nguyen, Viet Hoang Man, Sơn Tùng Ngô, Chin‐Kun Hu, Philippe Derreumaux, Binh Khanh, Sanjay Kumar, D. Thirumalai, Hikaru Kawamura and Gerhard Stock. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.

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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