Yaoyao Ren

60 total papers · 527 total citations
38 papers, 343 citations indexed

About

Yaoyao Ren is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Yaoyao Ren has authored 38 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Pulmonary and Respiratory Medicine and 10 papers in Oncology. Recurrent topics in Yaoyao Ren's work include Lung Cancer Treatments and Mutations (6 papers), Lung Cancer Research Studies (4 papers) and Traditional Chinese Medicine Analysis (4 papers). Yaoyao Ren is often cited by papers focused on Lung Cancer Treatments and Mutations (6 papers), Lung Cancer Research Studies (4 papers) and Traditional Chinese Medicine Analysis (4 papers). Yaoyao Ren collaborates with scholars based in China and United States. Yaoyao Ren's co-authors include Qing Ma, Fuguo Xing, Hua Ge, Jixiang Wu, Yingchen Xu, Linlin Zhang, Chaojie Liang, Guangming Li, Jing Jin and Qingli Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Chemical Engineering Journal.

In The Last Decade

Yaoyao Ren

31 papers receiving 336 citations

Author Peers

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

Author Last Decade Papers Cites
Yaoyao Ren 180 94 68 60 34 38 343
Yao Sun 220 1.2× 82 0.9× 63 0.9× 52 0.9× 72 2.1× 29 389
Yue Lin 173 1.0× 46 0.5× 42 0.6× 64 1.1× 37 1.1× 40 322
Naotika Toki 179 1.0× 100 1.1× 39 0.6× 37 0.6× 47 1.4× 51 403
Youlin Wang 175 1.0× 87 0.9× 58 0.9× 41 0.7× 30 0.9× 26 309
Fan Li 225 1.3× 105 1.1× 59 0.9× 29 0.5× 53 1.6× 31 398
Xuliang Wang 162 0.9× 76 0.8× 56 0.8× 33 0.6× 28 0.8× 30 383
Tingting Xiao 197 1.1× 129 1.4× 38 0.6× 27 0.5× 41 1.2× 30 342
Zhen Zhao 189 1.1× 110 1.2× 46 0.7× 25 0.4× 54 1.6× 28 367
Junfeng Yan 161 0.9× 56 0.6× 51 0.8× 21 0.3× 38 1.1× 28 342
Sen Zhu 206 1.1× 47 0.5× 72 1.1× 23 0.4× 22 0.6× 22 364

Countries citing papers authored by Yaoyao Ren

Since Specialization
Citations

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

Fields of papers citing papers by Yaoyao Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaoyao Ren

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