Lingle Wang

12.4k total citations · 4 hit papers
59 papers, 7.6k citations indexed

About

Lingle Wang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Lingle Wang has authored 59 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 34 papers in Computational Theory and Mathematics and 15 papers in Materials Chemistry. Recurrent topics in Lingle Wang's work include Protein Structure and Dynamics (38 papers), Computational Drug Discovery Methods (34 papers) and RNA and protein synthesis mechanisms (10 papers). Lingle Wang is often cited by papers focused on Protein Structure and Dynamics (38 papers), Computational Drug Discovery Methods (34 papers) and RNA and protein synthesis mechanisms (10 papers). Lingle Wang collaborates with scholars based in United States, Germany and Belgium. Lingle Wang's co-authors include Richard A. Friesner, Robert Abel, B. J. Berne, Edward Harder, Markus K. Dahlgren, Chuanjie Wu, Wolfgang Damm, Chao Lü, Dmitry Lupyan and Jennifer L. Knight and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Lingle Wang

57 papers receiving 7.4k citations

Hit Papers

OPLS3: A Force Field Providing Broad Coverage of Drug-lik... 2011 2026 2016 2021 2015 2021 2019 2011 500 1000 1.5k 2.0k

Peers

Lingle Wang
Comparison fields: 5 of 152
  • Molecular Biology 5.0k
  • Computational Theory and Mathematics 2.3k
  • Materials Chemistry 1.3k
  • Organic Chemistry 1.2k
  • Atomic and Molecular Physics, and Optics 519
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Citations per field, relative to Lingle Wang
Lingle Wang · 1×
Citations per year, relative to Lingle Wang
Lingle Wang · 1×

Countries citing papers authored by Lingle Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lingle Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingle Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Lingle Wang. A scholar is included among the top collaborators of Lingle Wang 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 Lingle Wang. Lingle Wang 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
# Work Indexed citations
1 1
2 1
3 8
4 69
5 11
6 64
7 13
8 14
9 67
10 8
11 28
12 46
13
OPLS3e: Extending Force Field Coverage for Drug-Like Small Molecules breakdown →
857
14 29
15 68
16 64
17 72
18 101
19 84
20 30

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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