Menglun Wang

19 total papers · 1.2k total citations
9 papers, 826 citations indexed

About

Menglun Wang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cell Biology. According to data from OpenAlex, Menglun Wang has authored 9 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 2 papers in Cell Biology. Recurrent topics in Menglun Wang's work include Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (5 papers) and Microtubule and mitosis dynamics (2 papers). Menglun Wang is often cited by papers focused on Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (5 papers) and Microtubule and mitosis dynamics (2 papers). Menglun Wang collaborates with scholars based in United States and China. Menglun Wang's co-authors include Rui Wang, Jiahui Chen, Guo‐Wei Wei, Guo-Wei Wei, Duc Duy Nguyen, Zixuan Cang, Guo‐Wei Wei, Kaifu Gao, Kedi Wu and Yiying Tong and has published in prestigious journals such as Journal of Molecular Biology, Journal of Chemical Information and Modeling and Bulletin of Mathematical Biology.

In The Last Decade

Menglun Wang

9 papers receiving 818 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Menglun Wang 437 373 290 97 61 9 826
Maria Batool 486 1.1× 325 0.9× 230 0.8× 71 0.7× 42 0.7× 22 1.0k
Shinji Amari 419 1.0× 197 0.5× 196 0.7× 94 1.0× 19 0.3× 16 910
Brian Coventry 689 1.6× 133 0.4× 274 0.9× 102 1.1× 141 2.3× 16 983
Emília P. Barros 522 1.2× 108 0.3× 493 1.7× 54 0.6× 102 1.7× 20 919
Chia-Cheng Chou 521 1.2× 130 0.3× 178 0.6× 83 0.9× 42 0.7× 35 913
Sukrit Singh 553 1.3× 101 0.3× 333 1.1× 87 0.9× 38 0.6× 23 899
Saurabh Menon 460 1.1× 167 0.4× 299 1.0× 62 0.6× 18 0.3× 15 971
Cunliang Geng 586 1.3× 216 0.6× 74 0.3× 92 0.9× 58 1.0× 19 794
Di Zhang 766 1.8× 106 0.3× 124 0.4× 49 0.5× 80 1.3× 12 1.0k
Aurelio J. Dregni 413 0.9× 53 0.1× 229 0.8× 94 1.0× 66 1.1× 27 847

Countries citing papers authored by Menglun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Menglun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Menglun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Menglun Wang. A scholar is included among the top collaborators of Menglun 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 Menglun Wang. Menglun Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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