Xin Guan

33 total papers · 437 total citations
24 papers, 308 citations indexed

About

Xin Guan is a scholar working on Molecular Biology, Water Science and Technology and Genetics. According to data from OpenAlex, Xin Guan has authored 24 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Water Science and Technology and 4 papers in Genetics. Recurrent topics in Xin Guan's work include Water-Energy-Food Nexus Studies (5 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Estrogen and related hormone effects (2 papers). Xin Guan is often cited by papers focused on Water-Energy-Food Nexus Studies (5 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Estrogen and related hormone effects (2 papers). Xin Guan collaborates with scholars based in China, United States and Czechia. Xin Guan's co-authors include Giuseppe Mascaro, Ross Maciejewski, David A. Sampson, Liu-Yin Fan, Yan Sun, Liyun Ji, Zhi Qiao, Zhi Shang, Hua Xiao and Sha Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and International Journal of Molecular Sciences.

In The Last Decade

Xin Guan

19 papers receiving 303 citations

Author Peers

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

Author						Papers	Cites
Xin Guan	165	83	69	38	27	24	308
Yajuan Jiang	174 1.1×	17 0.2×	26 0.4×	7 0.2×	29 1.1×	25	345
Wenyan Shen	147 0.9×	41 0.5×	10 0.1×	17 0.4×	11 0.4×	19	338
Narjes Jafari	124 0.8×	76 0.9×	25 0.4×	14 0.4×	27 1.0×	24	361
Jie Zheng	73 0.4×	25 0.3×	10 0.1×	11 0.3×	11 0.4×	25	310
Yi-song Xiong	138 0.8×	12 0.1×	32 0.5×	4 0.1×	22 0.8×	13	325
Nina Christiansen	140 0.8×	38 0.5×	5 0.1×	98 2.6×	35 1.3×	18	335
Aída Arcas	189 1.1×	42 0.5×	17 0.2×	28 0.7×	45 1.7×	13	310
Zhenyu Zhu	43 0.3×	16 0.2×	14 0.2×	6 0.2×	29 1.1×	31	255
Rachel Bayley	207 1.3×	23 0.3×	8 0.1×	6 0.2×	17 0.6×	20	315
Hefin Rhys	138 0.8×	39 0.5×	20 0.3×	2 0.1×	19 0.7×	14	366

Countries citing papers authored by Xin Guan

Since Specialization

Citations

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

Fields of papers citing papers by Xin Guan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Guan

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