Qun Cheng

32 total papers · 400 total citations
16 papers, 320 citations indexed

About

Qun Cheng is a scholar working on Animal Science and Zoology, Molecular Biology and Plant Science. According to data from OpenAlex, Qun Cheng has authored 16 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Animal Science and Zoology, 5 papers in Molecular Biology and 5 papers in Plant Science. Recurrent topics in Qun Cheng's work include Mycotoxins in Agriculture and Food (5 papers), Genomics, phytochemicals, and oxidative stress (4 papers) and Animal Nutrition and Physiology (4 papers). Qun Cheng is often cited by papers focused on Mycotoxins in Agriculture and Food (5 papers), Genomics, phytochemicals, and oxidative stress (4 papers) and Animal Nutrition and Physiology (4 papers). Qun Cheng collaborates with scholars based in China, Canada and United States. Qun Cheng's co-authors include Bo Chen, Patrick D. Lyden, Kai Yang, Weiren Yang, Shuzhen Jiang, Yuxi Wang, Roger Y. Tsien, Beth Friedman, Lifu Zhao and Michael Whitney and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Stroke.

In The Last Decade

Qun Cheng

15 papers receiving 317 citations

Author Peers

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

Author Last Decade Papers Cites
Qun Cheng 104 86 75 55 49 16 320
Ursula Junker 55 0.5× 64 0.7× 31 0.4× 7 0.1× 36 0.7× 15 347
Minyoung Kong 123 1.2× 11 0.1× 64 0.9× 12 0.2× 37 0.8× 13 324
Heinz Schwartz 88 0.8× 23 0.3× 93 1.2× 12 0.2× 58 1.2× 15 325
Blandine Gausserès 150 1.4× 41 0.5× 30 0.4× 6 0.1× 11 0.2× 18 361
Xianwen Dong 76 0.7× 10 0.1× 20 0.3× 13 0.2× 25 0.5× 20 321
Jinsong Wang 95 0.9× 27 0.3× 23 0.3× 10 0.2× 14 0.3× 17 325
Rosemary I. Hawkins 63 0.6× 26 0.3× 55 0.7× 29 0.5× 4 0.1× 13 359
Caroline Choisy 184 1.8× 41 0.5× 24 0.3× 16 0.3× 7 0.1× 23 311
Whitney L. Simon 101 1.0× 15 0.2× 76 1.0× 5 0.1× 58 1.2× 18 319
Hugo Caire de Castro Faria Neto 124 1.2× 13 0.2× 56 0.7× 8 0.1× 31 0.6× 12 364

Countries citing papers authored by Qun Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Qun Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qun Cheng

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