Wuxia Guo

59 total papers · 734 total citations
36 papers, 468 citations indexed

About

Wuxia Guo is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Wuxia Guo has authored 36 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 18 papers in Ecology and 16 papers in Genetics. Recurrent topics in Wuxia Guo's work include Coastal wetland ecosystem dynamics (16 papers), Genetic diversity and population structure (16 papers) and Plant and Fungal Species Descriptions (14 papers). Wuxia Guo is often cited by papers focused on Coastal wetland ecosystem dynamics (16 papers), Genetic diversity and population structure (16 papers) and Plant and Fungal Species Descriptions (14 papers). Wuxia Guo collaborates with scholars based in China, Malaysia and India. Wuxia Guo's co-authors include Yelin Huang, Suhua Shi, Zhang Zhang, Achyut Kumar Banerjee, Cairong Zhong, Ziwen He, Shaohua Xu, Renchao Zhou, Wei Lun Ng and Jianfang Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Wuxia Guo

35 papers receiving 455 citations

Author Peers

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

Author						Papers	Cites
Wuxia Guo	236	215	164	126	76	36	468
Zixiao Guo	232 1.0×	228 1.1×	140 0.9×	154 1.2×	76 1.0×	29	482
Gustavo Maruyama Mori	173 0.7×	113 0.5×	111 0.7×	202 1.6×	68 0.9×	40	439
Damien Daniel Hinsinger	119 0.5×	246 1.1×	94 0.6×	90 0.7×	43 0.6×	31	460
Shong Huang	131 0.6×	179 0.8×	99 0.6×	187 1.5×	38 0.5×	22	409
Komlan Avia	83 0.4×	187 0.9×	256 1.6×	118 0.9×	136 1.8×	25	529
Nobuo Tsurusaki	176 0.7×	106 0.5×	65 0.4×	168 1.3×	80 1.1×	46	433
Nobuyuki Inomata	117 0.5×	277 1.3×	98 0.6×	186 1.5×	49 0.6×	37	503
Lúa López	184 0.8×	85 0.4×	92 0.6×	131 1.0×	189 2.5×	23	447
Emily S. Bellis	84 0.4×	100 0.5×	248 1.5×	115 0.9×	23 0.3×	26	439
Valéria Cunha Muschner	90 0.4×	196 0.9×	227 1.4×	177 1.4×	42 0.6×	20	525

Countries citing papers authored by Wuxia Guo

Since Specialization

Citations

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

Fields of papers citing papers by Wuxia Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wuxia Guo

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