Hui Wen

30 total papers · 565 total citations
18 papers, 399 citations indexed

About

Hui Wen is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Hui Wen has authored 18 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 4 papers in Cancer Research. Recurrent topics in Hui Wen's work include Cystic Fibrosis Research Advances (7 papers), Neonatal Respiratory Health Research (5 papers) and Cancer-related molecular mechanisms research (3 papers). Hui Wen is often cited by papers focused on Cystic Fibrosis Research Advances (7 papers), Neonatal Respiratory Health Research (5 papers) and Cancer-related molecular mechanisms research (3 papers). Hui Wen collaborates with scholars based in China, United States and Russia. Hui Wen's co-authors include Jeong S. Hong, Eric J. Sorscher, Jennifer S. Guimbellot, Chun‐Sen Ma, Shuiqiao Yuan, Xinli Wang, Lianwu Fu, Stephen W. Erickson, Tapan Mehta and Grier P. Page and has published in prestigious journals such as Cell, Nature Communications and Development.

In The Last Decade

Hui Wen

18 papers receiving 396 citations

Author Peers

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

Author Last Decade Papers Cites
Hui Wen 168 137 104 64 35 18 399
K. S. Lavappa 155 0.9× 48 0.4× 90 0.9× 80 1.3× 79 2.3× 16 346
K.P. Jones 119 0.7× 70 0.5× 120 1.2× 32 0.5× 71 2.0× 19 387
Frances Chan 227 1.4× 72 0.5× 52 0.5× 59 0.9× 22 0.6× 12 422
Nuruliarizki Shinta Pandupuspitasari 210 1.3× 47 0.3× 42 0.4× 45 0.7× 21 0.6× 32 377
Manik Chandra 84 0.5× 68 0.5× 48 0.5× 44 0.7× 21 0.6× 25 390
Russell Kruzelock 247 1.5× 58 0.4× 46 0.4× 59 0.9× 17 0.5× 12 439
Vincent Jonchère 134 0.8× 30 0.2× 45 0.4× 73 1.1× 27 0.8× 12 415
Liam T. Seery 227 1.4× 27 0.2× 47 0.5× 108 1.7× 21 0.6× 14 403
Yuan Cai 198 1.2× 99 0.7× 199 1.9× 124 1.9× 3 0.1× 29 379
Weiqun Lu 157 0.9× 23 0.2× 60 0.6× 27 0.4× 43 1.2× 21 417

Countries citing papers authored by Hui Wen

Since Specialization
Citations

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

Fields of papers citing papers by Hui Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Wen

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