Xuena Guo

31 total papers · 721 total citations
28 papers, 541 citations indexed

About

Xuena Guo is a scholar working on Molecular Biology, Biomedical Engineering and Food Science. According to data from OpenAlex, Xuena Guo has authored 28 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 8 papers in Biomedical Engineering and 7 papers in Food Science. Recurrent topics in Xuena Guo's work include Microbial Metabolic Engineering and Bioproduction (10 papers), Fungal and yeast genetics research (9 papers) and Biofuel production and bioconversion (8 papers). Xuena Guo is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (10 papers), Fungal and yeast genetics research (9 papers) and Biofuel production and bioconversion (8 papers). Xuena Guo collaborates with scholars based in China, Taiwan and United States. Xuena Guo's co-authors include Xiuping He, Borun Zhang, Zhaoyue Wang, Yanfei Cheng, Hui Zhu, Xuejing Bai, Ying Lu, Junguo Zhang, Xiuying Liu and Nan Liu and has published in prestigious journals such as PLoS ONE, Analytical Biochemistry and Journal of Agricultural and Food Chemistry.

In The Last Decade

Xuena Guo

28 papers receiving 530 citations

Author Peers

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

Author						Papers	Cites
Xuena Guo	448	166	153	83	48	28	541
Borun Zhang	465 1.0×	185 1.1×	231 1.5×	71 0.9×	96 2.0×	41	594
Hee Jeong Chae	352 0.8×	97 0.6×	86 0.6×	76 0.9×	94 2.0×	36	557
Helga Hinze	333 0.7×	100 0.6×	52 0.3×	75 0.9×	94 2.0×	23	550
Teh‐Liang Chen	440 1.0×	69 0.4×	208 1.4×	65 0.8×	61 1.3×	32	605
Oksana Son	279 0.6×	59 0.4×	56 0.4×	108 1.3×	56 1.2×	33	475
Ying Yang	204 0.5×	105 0.6×	91 0.6×	42 0.5×	210 4.4×	22	527
Arzu Çöleri Cihan	277 0.6×	71 0.4×	51 0.3×	134 1.6×	87 1.8×	38	464
Toshiro Omori	309 0.7×	139 0.8×	135 0.9×	146 1.8×	194 4.0×	45	602
Wang‐Yu Tong	327 0.7×	61 0.4×	81 0.5×	70 0.8×	35 0.7×	22	552
Sachiko Yamamoto	252 0.6×	64 0.4×	51 0.3×	69 0.8×	108 2.3×	37	595

Countries citing papers authored by Xuena Guo

Since Specialization

Citations

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

Fields of papers citing papers by Xuena Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuena Guo

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