Fang Guan

62 total papers · 976 total citations
37 papers, 743 citations indexed

About

Fang Guan is a scholar working on Molecular Biology, Insect Science and Plant Science. According to data from OpenAlex, Fang Guan has authored 37 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 12 papers in Insect Science and 8 papers in Plant Science. Recurrent topics in Fang Guan's work include Insect Resistance and Genetics (13 papers), Entomopathogenic Microorganisms in Pest Control (7 papers) and Insect and Pesticide Research (4 papers). Fang Guan is often cited by papers focused on Insect Resistance and Genetics (13 papers), Entomopathogenic Microorganisms in Pest Control (7 papers) and Insect and Pesticide Research (4 papers). Fang Guan collaborates with scholars based in China, United States and Australia. Fang Guan's co-authors include Yidong Wu, Yihua Yang, Jianpeng Zhang, Xingliang Wang, Feng Zhang, Yu Shi, Bruce E. Tabashnik, Wee Tek Tay, Lin Jin and Jeffrey A. Fabrick and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of Medicinal Chemistry.

In The Last Decade

Fang Guan

36 papers receiving 733 citations

Author Peers

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

Author						Papers	Cites
Fang Guan	491	298	183	75	68	37	743
Lei Ma	452 0.9×	225 0.8×	158 0.9×	30 0.4×	11 0.2×	42	837
Hong Song	475 1.0×	155 0.5×	69 0.4×	32 0.4×	18 0.3×	48	845
Liping Xu	517 1.1×	43 0.1×	91 0.5×	96 1.3×	59 0.9×	39	875
Zongcai Liu	445 0.9×	99 0.3×	120 0.7×	23 0.3×	20 0.3×	43	838
Margaret E. Hogan	359 0.7×	94 0.3×	101 0.6×	28 0.4×	12 0.2×	24	774
Sungho Shin	389 0.8×	42 0.1×	146 0.8×	17 0.2×	28 0.4×	32	717
Sahar Da’as	312 0.6×	45 0.2×	140 0.8×	14 0.2×	29 0.4×	41	878
Park	334 0.7×	70 0.2×	50 0.3×	11 0.1×	30 0.4×	56	668
Qunfang Yang	307 0.6×	204 0.7×	140 0.8×	6 0.1×	22 0.3×	36	663
Daniel Locker	454 0.9×	72 0.2×	99 0.5×	111 1.5×	9 0.1×	37	737

Countries citing papers authored by Fang Guan

Since Specialization

Citations

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

Fields of papers citing papers by Fang Guan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Guan

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