Huan Lei

111 total papers · 3.5k total citations
69 papers, 1.1k citations indexed

About

Huan Lei is a scholar working on Molecular Biology, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Huan Lei has authored 69 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 17 papers in Materials Chemistry and 11 papers in Biomedical Engineering. Recurrent topics in Huan Lei's work include Protein Structure and Dynamics (10 papers), Rheology and Fluid Dynamics Studies (8 papers) and Model Reduction and Neural Networks (6 papers). Huan Lei is often cited by papers focused on Protein Structure and Dynamics (10 papers), Rheology and Fluid Dynamics Studies (8 papers) and Model Reduction and Neural Networks (6 papers). Huan Lei collaborates with scholars based in China, United States and Germany. Huan Lei's co-authors include George Em Karniadakis, Bruce Caswell, Dmitry A. Fedosov, Xuejin Li, Nathan Baker, Zhen Li, Yuhang Tang, Xiu Yang, Zhangli Peng and Ming Dao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Huan Lei

66 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Huan Lei 328 255 217 215 189 69 1.1k
Damir B. Khismatullin 212 0.6× 165 0.6× 594 2.7× 238 1.1× 139 0.7× 57 1.2k
Richard A. Malinauskas 150 0.5× 168 0.7× 515 2.4× 157 0.7× 131 0.7× 43 1.4k
Gwennou Coupier 117 0.4× 497 1.9× 334 1.5× 209 1.0× 56 0.3× 33 932
David T. Lynch 233 0.7× 118 0.5× 147 0.7× 26 0.1× 263 1.4× 85 1.5k
Jifu Tan 136 0.4× 231 0.9× 663 3.1× 184 0.9× 285 1.5× 34 1.3k
P. Snabre 362 1.1× 168 0.7× 366 1.7× 271 1.3× 69 0.4× 59 1.4k
Safa Jamali 600 1.8× 111 0.4× 187 0.9× 357 1.7× 34 0.2× 53 1.3k
Masao Doi 365 1.1× 158 0.6× 350 1.6× 122 0.6× 80 0.4× 49 1.4k
Masato Makino 80 0.2× 329 1.3× 318 1.5× 109 0.5× 310 1.6× 113 1.4k
Sebastian Aland 305 0.9× 84 0.3× 436 2.0× 541 2.5× 85 0.4× 46 1.3k

Countries citing papers authored by Huan Lei

Since Specialization
Citations

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

Fields of papers citing papers by Huan Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huan Lei

This figure shows the co-authorship network connecting the top 25 collaborators of Huan Lei. A scholar is included among the top collaborators of Huan Lei 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 Huan Lei. Huan Lei 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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