Yunfei Wen

193 total papers · 7.9k total citations
23 papers, 661 citations indexed

About

Yunfei Wen is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yunfei Wen has authored 23 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Yunfei Wen's work include MicroRNA in disease regulation (5 papers), Autophagy in Disease and Therapy (4 papers) and Extracellular vesicles in disease (4 papers). Yunfei Wen is often cited by papers focused on MicroRNA in disease regulation (5 papers), Autophagy in Disease and Therapy (4 papers) and Extracellular vesicles in disease (4 papers). Yunfei Wen collaborates with scholars based in United States, China and Brazil. Yunfei Wen's co-authors include Anil K. Sood, Sherry Y. Wu, Cristina Ivan, Wei Hu, Anil K. Sood, Heather J. Dalton, Lingegowda S. Mangala, Nicholas B. Jennings, Sunila Pradeep and Behrouz Zand and has published in prestigious journals such as Nature Communications, JNCI Journal of the National Cancer Institute and Cancer Research.

In The Last Decade

Yunfei Wen

22 papers receiving 657 citations

Author Peers

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

Author						Papers	Cites
Yunfei Wen	383	167	120	103	70	23	661
Pekka Rappu	495 1.3×	195 1.2×	100 0.8×	68 0.7×	77 1.1×	30	768
Ran Xie	358 0.9×	115 0.7×	111 0.9×	91 0.9×	111 1.6×	19	783
Valérie Rouffiac	299 0.8×	181 1.1×	193 1.6×	193 1.9×	66 0.9×	31	691
Tomoya Hikita	467 1.2×	184 1.1×	71 0.6×	151 1.5×	77 1.1×	20	683
Yael Ben‐Nun	247 0.6×	192 1.1×	196 1.6×	144 1.4×	59 0.8×	17	657
Zhiyan Liu	313 0.8×	89 0.5×	129 1.1×	83 0.8×	107 1.5×	30	755
Kyle A. DiVito	507 1.3×	118 0.7×	273 2.3×	94 0.9×	43 0.6×	24	764
Sifan Zhang	266 0.7×	204 1.2×	180 1.5×	80 0.8×	36 0.5×	18	618
Sandy Azzi	327 0.9×	135 0.8×	200 1.7×	97 0.9×	34 0.5×	18	685
He Xu	326 0.9×	102 0.6×	127 1.1×	87 0.8×	122 1.7×	14	733

Countries citing papers authored by Yunfei Wen

Since Specialization

Citations

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

Fields of papers citing papers by Yunfei Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunfei Wen

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