Yao Peng

54 total papers · 5.3k total citations
26 papers, 452 citations indexed

About

Yao Peng is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Yao Peng has authored 26 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 6 papers in Pharmacology. Recurrent topics in Yao Peng's work include Receptor Mechanisms and Signaling (7 papers), Neuropeptides and Animal Physiology (5 papers) and Microbial Natural Products and Biosynthesis (5 papers). Yao Peng is often cited by papers focused on Receptor Mechanisms and Signaling (7 papers), Neuropeptides and Animal Physiology (5 papers) and Microbial Natural Products and Biosynthesis (5 papers). Yao Peng collaborates with scholars based in China, United States and Australia. Yao Peng's co-authors include Zhi‐Jie Liu, Linquan Bai, Raymond C. Stevens, Chenyang Lu, Gao‐Yi Tan, Ling Shen, Jian‐Jiang Zhong, Petr Popov, Vadim Cherezov and Vsevolod Katritch and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Virology and Chemical Science.

In The Last Decade

Yao Peng

24 papers receiving 444 citations

Author Peers

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

Author						Papers	Cites
Yao Peng	288	116	53	52	52	26	452
O Zwisler	194 0.7×	52 0.4×	23 0.4×	57 1.1×	22 0.4×	21	437
Quoc‐Thai Nguyen	248 0.9×	57 0.5×	47 0.9×	20 0.4×	12 0.2×	28	407
Yu‐Chih Yang	252 0.9×	40 0.3×	32 0.6×	24 0.5×	69 1.3×	21	505
G.J. Correy	375 1.3×	33 0.3×	16 0.3×	34 0.7×	23 0.4×	16	500
Carlotta Ciaramelli	155 0.5×	128 1.1×	19 0.4×	16 0.3×	18 0.3×	20	502
Md. Khurshid Alam Khan	288 1.0×	43 0.4×	35 0.7×	14 0.3×	17 0.3×	24	433
Paul Zuck	315 1.1×	58 0.5×	7 0.1×	55 1.1×	32 0.6×	30	519
Jianyu Li	266 0.9×	97 0.8×	30 0.6×	12 0.2×	11 0.2×	38	515
Ravi Kant Rajpoot	266 0.9×	36 0.3×	22 0.4×	13 0.3×	80 1.5×	11	527
Mehriar Amininasab	370 1.3×	46 0.4×	10 0.2×	39 0.8×	14 0.3×	31	551

Countries citing papers authored by Yao Peng

Since Specialization

Citations

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

Fields of papers citing papers by Yao Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yao Peng

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