Xuan Yu

79 total papers · 1.1k total citations
50 papers, 804 citations indexed

About

Xuan Yu is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Xuan Yu has authored 50 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Genetics. Recurrent topics in Xuan Yu's work include Estrogen and related hormone effects (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Enzyme Catalysis and Immobilization (4 papers). Xuan Yu is often cited by papers focused on Estrogen and related hormone effects (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Enzyme Catalysis and Immobilization (4 papers). Xuan Yu collaborates with scholars based in China, United States and Germany. Xuan Yu's co-authors include Chanan Singh, Guichun Han, John N. Stallone, Richard E. White, Cristine L. Heaps, Duobin Mao, Xianyun Ren, Baoquan Gao, Fen Li and Enno Klußmann and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Xuan Yu

46 papers receiving 788 citations

Author Peers

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

Author						Papers	Cites
Xuan Yu	206	194	151	126	93	50	804
Qi Wang	365 1.8×	69 0.4×	29 0.2×	125 1.0×	193 2.1×	42	1.1k
Wenchao Song	159 0.8×	130 0.7×	76 0.5×	141 1.1×	170 1.8×	31	751
Dongning Chen	238 1.2×	137 0.7×	32 0.2×	11 0.1×	52 0.6×	48	899
Maoqing Ye	341 1.7×	78 0.4×	15 0.1×	101 0.8×	83 0.9×	40	824
Shuhui Zheng	367 1.8×	115 0.6×	99 0.7×	12 0.1×	60 0.6×	37	820
Jinyan Zhao	403 2.0×	31 0.2×	56 0.4×	15 0.1×	73 0.8×	79	950
Mina Maleki	256 1.2×	29 0.1×	278 1.8×	119 0.9×	12 0.1×	71	837
Jianping Gao	330 1.6×	40 0.2×	43 0.3×	68 0.5×	34 0.4×	73	819
Yini Xu	400 1.9×	28 0.1×	31 0.2×	36 0.3×	105 1.1×	80	899
Kazuhiko Kato	139 0.7×	15 0.1×	37 0.2×	169 1.3×	91 1.0×	50	780

Countries citing papers authored by Xuan Yu

Since Specialization

Citations

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

Fields of papers citing papers by Xuan Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuan Yu

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