Peng Yao

86 total papers · 2.4k total citations
56 papers, 1.9k citations indexed

About

Peng Yao is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Peng Yao has authored 56 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 11 papers in Cancer Research and 7 papers in Immunology. Recurrent topics in Peng Yao's work include RNA modifications and cancer (25 papers), RNA and protein synthesis mechanisms (21 papers) and RNA Research and Splicing (19 papers). Peng Yao is often cited by papers focused on RNA modifications and cancer (25 papers), RNA and protein synthesis mechanisms (21 papers) and RNA Research and Splicing (19 papers). Peng Yao collaborates with scholars based in United States, China and United Kingdom. Peng Yao's co-authors include Paul L. Fox, Jie Jia, Partho Sarothi Ray, Jiangbin Wu, Maria Hatzoglou, Mithu Majumder, Abul Arif, Sandeepa M. Eswarappa, En‐Duo Wang and Kadiam C. Venkata Subbaiah and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Peng Yao

54 papers receiving 1.9k citations

Author Peers

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

Author Last Decade Papers Cites
Peng Yao 1.4k 484 272 167 134 56 1.9k
Yu‐Rong Qiu 966 0.7× 653 1.3× 343 1.3× 124 0.7× 102 0.8× 55 1.5k
José M. Izquierdo 1.8k 1.3× 340 0.7× 230 0.8× 119 0.7× 120 0.9× 73 2.2k
Kristin F. Wilson 1.3k 0.9× 589 1.2× 130 0.5× 197 1.2× 96 0.7× 30 1.8k
Jikui Shen 1.7k 1.2× 292 0.6× 207 0.8× 126 0.8× 64 0.5× 59 2.7k
Rui Peng 1.5k 1.1× 799 1.7× 345 1.3× 237 1.4× 127 0.9× 78 2.2k
Teruki Hagiwara 1.2k 0.8× 294 0.6× 489 1.8× 270 1.6× 92 0.7× 51 2.0k
Oleg Denisenko 1.9k 1.3× 261 0.5× 197 0.7× 190 1.1× 185 1.4× 54 2.4k
Zhijian Qian 1.9k 1.3× 747 1.5× 255 0.9× 208 1.2× 57 0.4× 58 2.5k
Valérie Metzinger‐Le Meuth 876 0.6× 724 1.5× 185 0.7× 85 0.5× 101 0.8× 45 1.5k
Liming Yu 1.3k 0.9× 377 0.8× 327 1.2× 217 1.3× 151 1.1× 61 2.0k

Countries citing papers authored by Peng Yao

Since Specialization
Citations

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

Fields of papers citing papers by Peng Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Yao

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