Xuan Wu

53 total papers · 901 total citations
46 papers, 683 citations indexed

About

Xuan Wu is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xuan Wu has authored 46 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 9 papers in Cancer Research and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xuan Wu's work include RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (7 papers) and Pluripotent Stem Cells Research (6 papers). Xuan Wu is often cited by papers focused on RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (7 papers) and Pluripotent Stem Cells Research (6 papers). Xuan Wu collaborates with scholars based in China, United States and Macao. Xuan Wu's co-authors include Ann M. Marini, Feng Tian, Robert H. Lipsky, Xueying Jiang, Daming Zhu, Hui Wang, Hongna Pan, Hong Jiang, Xian‐Zhang Hu and Ying Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Xuan Wu

42 papers receiving 676 citations

Author Peers

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

Author						Papers	Cites
Xuan Wu	396	92	74	73	73	46	683
Shuang Yu	230 0.6×	75 0.8×	50 0.7×	61 0.8×	108 1.5×	43	693
Bong-Seon Kim	407 1.0×	77 0.8×	51 0.7×	55 0.8×	74 1.0×	28	752
Bin Sun	298 0.8×	52 0.6×	111 1.5×	85 1.2×	68 0.9×	29	679
Jan Henryk Spodnik	272 0.7×	105 1.1×	60 0.8×	61 0.8×	44 0.6×	53	603
Jason E. Beare	261 0.7×	79 0.9×	93 1.3×	80 1.1×	50 0.7×	35	769
Wenjun Xu	319 0.8×	103 1.1×	116 1.6×	49 0.7×	50 0.7×	53	612
Anastasia Tsingotjidou	241 0.6×	109 1.2×	53 0.7×	87 1.2×	74 1.0×	43	648
Liangxue Zhou	264 0.7×	123 1.3×	53 0.7×	44 0.6×	60 0.8×	31	764
Fábio Rogério	253 0.6×	129 1.4×	84 1.1×	50 0.7×	33 0.5×	58	589
Haoli Wang	368 0.9×	129 1.4×	78 1.1×	72 1.0×	48 0.7×	31	780

Countries citing papers authored by Xuan Wu

Since Specialization

Citations

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

Fields of papers citing papers by Xuan Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuan Wu

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