Xuxia Yan

19 total papers · 1.0k total citations
14 papers, 835 citations indexed

About

Xuxia Yan is a scholar working on Infectious Diseases, Molecular Biology and Virology. According to data from OpenAlex, Xuxia Yan has authored 14 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 3 papers in Molecular Biology and 3 papers in Virology. Recurrent topics in Xuxia Yan's work include Clostridium difficile and Clostridium perfringens research (5 papers), Antimicrobial Resistance in Staphylococcus (3 papers) and HIV Research and Treatment (3 papers). Xuxia Yan is often cited by papers focused on Clostridium difficile and Clostridium perfringens research (5 papers), Antimicrobial Resistance in Staphylococcus (3 papers) and HIV Research and Treatment (3 papers). Xuxia Yan collaborates with scholars based in United States, China and Australia. Xuxia Yan's co-authors include Julian I. Rood, Trudi L. Bannam, Robert J. Moore, Anthony L. Keyburn, Linglin Fu, Hongrong Wang, Shibo Jiang, Hong Lü, Filip Van Immerseel and Jackie K. Cheung and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Xuxia Yan

14 papers receiving 820 citations

Author Peers

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

Author						Papers	Cites
Xuxia Yan	450	187	144	138	110	14	835
Amanda J. Brosnahan	380 0.8×	218 1.2×	327 2.3×	381 2.8×	55 0.5×	14	1.0k
W C Yam	426 0.9×	209 1.1×	53 0.4×	131 0.9×	36 0.3×	31	991
Helen S. Garmory	383 0.9×	403 2.2×	27 0.2×	166 1.2×	36 0.3×	18	1.0k
Aldwin J. M. Vriesema	221 0.5×	484 2.6×	157 1.1×	61 0.4×	15 0.1×	23	970
Paola Goldoni	220 0.5×	246 1.3×	57 0.4×	41 0.3×	24 0.2×	35	828
Moon Y. F. Tay	412 0.9×	200 1.1×	142 1.0×	43 0.3×	31 0.3×	19	964
N. Minamoto	368 0.8×	94 0.5×	154 1.1×	25 0.2×	211 1.9×	31	849
Kun‐Wei Chan	114 0.3×	231 1.2×	190 1.3×	111 0.8×	59 0.5×	44	830
Mary C. Booth	390 0.9×	541 2.9×	20 0.1×	58 0.4×	24 0.2×	15	1.0k
Pablo Chacana	334 0.7×	151 0.8×	23 0.2×	104 0.8×	241 2.2×	32	1.0k

Countries citing papers authored by Xuxia Yan

Since Specialization

Citations

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

Fields of papers citing papers by Xuxia Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuxia Yan

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