Peng Dai

103 total papers · 1.9k total citations
58 papers, 1.4k citations indexed

About

Peng Dai is a scholar working on Molecular Biology, Insect Science and Organic Chemistry. According to data from OpenAlex, Peng Dai has authored 58 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 13 papers in Insect Science and 11 papers in Organic Chemistry. Recurrent topics in Peng Dai's work include Insect-Plant Interactions and Control (12 papers), Click Chemistry and Applications (9 papers) and Chemical Synthesis and Analysis (7 papers). Peng Dai is often cited by papers focused on Insect-Plant Interactions and Control (12 papers), Click Chemistry and Applications (9 papers) and Chemical Synthesis and Analysis (7 papers). Peng Dai collaborates with scholars based in China, United States and France. Peng Dai's co-authors include Bradley L. Pentelute, Chi Zhang, Xing Chen, Koji Kubota, Stephen L. Buchwald, Can Xie, Senlian Hong, Qiancheng You, Fayçal Touti and Hong Geun Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Peng Dai

54 papers receiving 1.4k citations

Author Peers

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

Author						Papers	Cites
Peng Dai	984	432	183	167	131	58	1.4k
Zhi Lin	1.6k 1.6×	319 0.7×	94 0.5×	105 0.6×	95 0.7×	27	1.8k
Alessandro Gori	1.0k 1.1×	157 0.4×	174 1.0×	42 0.3×	97 0.7×	95	1.7k
Matthew R. Hicks	1.2k 1.2×	315 0.7×	72 0.4×	26 0.2×	201 1.5×	55	1.8k
Vijayalekshmi Sarojini	827 0.8×	403 0.9×	39 0.2×	45 0.3×	126 1.0×	68	1.6k
Carola Leuschner	692 0.7×	59 0.1×	114 0.6×	67 0.4×	142 1.1×	49	1.4k
Henri R. Nordlund	961 1.0×	572 1.3×	303 1.7×	36 0.2×	154 1.2×	31	1.6k
Ke Xing	757 0.8×	130 0.3×	26 0.1×	115 0.7×	199 1.5×	71	1.6k
Ricardo Gutiérrez–Gallego	1.1k 1.1×	384 0.9×	155 0.8×	27 0.2×	126 1.0×	71	1.8k
David E. Volk	1.1k 1.1×	65 0.2×	81 0.4×	62 0.4×	139 1.1×	62	1.8k
Maria Terêsa Machini de Miranda	745 0.8×	197 0.5×	20 0.1×	127 0.8×	75 0.6×	80	1.4k

Countries citing papers authored by Peng Dai

Since Specialization

Citations

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

Fields of papers citing papers by Peng Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Dai

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