Yuqi Wen

72 total papers · 1.2k total citations
48 papers, 596 citations indexed

About

Yuqi Wen is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cell Biology. According to data from OpenAlex, Yuqi Wen has authored 48 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 16 papers in Computational Theory and Mathematics and 7 papers in Cell Biology. Recurrent topics in Yuqi Wen's work include Computational Drug Discovery Methods (16 papers), Bioinformatics and Genomic Networks (16 papers) and Gene expression and cancer classification (10 papers). Yuqi Wen is often cited by papers focused on Computational Drug Discovery Methods (16 papers), Bioinformatics and Genomic Networks (16 papers) and Gene expression and cancer classification (10 papers). Yuqi Wen collaborates with scholars based in China, India and Poland. Yuqi Wen's co-authors include Song He, Xiaochen Bo, Lianlian Wu, Zhongnan Zhang, Dongjin Leng, Chong Dai, Bowei Yan, Yixin Zhang, Yunhao Zhang and Xiaochen Bo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Yuqi Wen

45 papers receiving 587 citations

Author Peers

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

Author						Papers	Cites
Yuqi Wen	420	214	62	58	46	48	596
Sulin Zhang	448 1.1×	167 0.8×	65 1.0×	39 0.7×	131 2.8×	45	694
Frederick J. King	283 0.7×	148 0.7×	35 0.6×	29 0.5×	53 1.2×	32	520
Vasileios Stathias	386 0.9×	199 0.9×	19 0.3×	93 1.6×	85 1.8×	21	639
Huanzhang Xie	340 0.8×	201 0.9×	61 1.0×	28 0.5×	94 2.0×	33	622
Hao Dai	431 1.0×	116 0.5×	23 0.4×	55 0.9×	19 0.4×	40	638
Kaitlyn Gayvert	377 0.9×	256 1.2×	90 1.5×	35 0.6×	44 1.0×	18	602
In Sock Jang	518 1.2×	140 0.7×	38 0.6×	143 2.5×	149 3.2×	20	650
Qing Xie	343 0.8×	216 1.0×	19 0.3×	26 0.4×	33 0.7×	39	636
Zhaorong Li	422 1.0×	169 0.8×	39 0.6×	87 1.5×	37 0.8×	17	595
Congjun Zhang	185 0.4×	65 0.3×	49 0.8×	89 1.5×	119 2.6×	48	586

Countries citing papers authored by Yuqi Wen

Since Specialization

Citations

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

Fields of papers citing papers by Yuqi Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuqi Wen

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