Quanxin Bi

47 total papers · 496 total citations
33 papers, 319 citations indexed

About

Quanxin Bi is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Quanxin Bi has authored 33 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 19 papers in Plant Science and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Quanxin Bi's work include Plant biochemistry and biosynthesis (8 papers), Plant Molecular Biology Research (7 papers) and Genomics and Phylogenetic Studies (6 papers). Quanxin Bi is often cited by papers focused on Plant biochemistry and biosynthesis (8 papers), Plant Molecular Biology Research (7 papers) and Genomics and Phylogenetic Studies (6 papers). Quanxin Bi collaborates with scholars based in China, United States and Canada. Quanxin Bi's co-authors include Libing Wang, Haiyan Yu, Yang Zhao, Xiaojuan Liu, Yifan Cui, Xiaoyu Hu, Wenbin Guan, Shaoxiong Wang, Mengyuan Chen and Mengke Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Plant Cell & Environment and Frontiers in Plant Science.

In The Last Decade

Quanxin Bi

31 papers receiving 314 citations

Author Peers

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

Author						Papers	Cites
Quanxin Bi	177	152	65	43	35	33	319
Shanzhi Lin	237 1.3×	188 1.2×	79 1.2×	57 1.3×	23 0.7×	29	357
Lingliang Guan	92 0.5×	139 0.9×	43 0.7×	13 0.3×	18 0.5×	26	343
Dorothy M. Halsall	113 0.6×	181 1.2×	25 0.4×	57 1.3×	25 0.7×	19	323
K. J. Lessman	74 0.4×	222 1.5×	38 0.6×	14 0.3×	38 1.1×	24	334
Yves Griveau	80 0.5×	277 1.8×	24 0.4×	40 0.9×	70 2.0×	26	335
Pernell Tomasi	158 0.9×	262 1.7×	123 1.9×	21 0.5×	21 0.6×	21	358
Nathalia de Setta	187 1.1×	271 1.8×	15 0.2×	33 0.8×	19 0.5×	26	361
Yan Zeng	188 1.1×	160 1.1×	14 0.2×	10 0.2×	56 1.6×	28	363
Xiaofeng Tan	140 0.8×	119 0.8×	75 1.2×	28 0.7×	6 0.2×	31	229
Guangyi Dai	158 0.9×	182 1.2×	14 0.2×	9 0.2×	34 1.0×	23	336

Countries citing papers authored by Quanxin Bi

Since Specialization

Citations

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

Fields of papers citing papers by Quanxin Bi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quanxin Bi

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