Xue Wu

22 total papers · 739 total citations
14 papers, 543 citations indexed

About

Xue Wu is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, Xue Wu has authored 14 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Pathology and Forensic Medicine and 4 papers in Epidemiology. Recurrent topics in Xue Wu's work include Alcohol Consumption and Health Effects (6 papers), Eicosanoids and Hypertension Pharmacology (4 papers) and Protein Tyrosine Phosphatases (4 papers). Xue Wu is often cited by papers focused on Alcohol Consumption and Health Effects (6 papers), Eicosanoids and Hypertension Pharmacology (4 papers) and Protein Tyrosine Phosphatases (4 papers). Xue Wu collaborates with scholars based in China, Canada and United States. Xue Wu's co-authors include Benjamin G. Neel, Peter H. Backx, Toshiyuki Araki, Jeremy A. Simpson, Kyoung-Han Kim, Jenny H. Hong, Bo Wang, Kimberly Keith, Roderick T. Bronson and Benjamin Davies and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Molecular and Cellular Biology.

In The Last Decade

Xue Wu

14 papers receiving 536 citations

Author Peers

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

Author Last Decade Papers Cites
Xue Wu 401 207 110 99 64 14 543
Shilong You 365 0.9× 70 0.3× 56 0.5× 93 0.9× 77 1.2× 23 551
Sonja Lieber 290 0.7× 261 1.3× 40 0.4× 145 1.5× 39 0.6× 15 588
Pallavi Subramanian 354 0.9× 195 0.9× 58 0.5× 48 0.5× 92 1.4× 15 608
Axel Witt 331 0.8× 110 0.5× 48 0.4× 58 0.6× 43 0.7× 11 463
Maryam Sharifi‐Sanjani 215 0.5× 125 0.6× 77 0.7× 29 0.3× 32 0.5× 14 458
Jingjiang Pi 421 1.0× 104 0.5× 106 1.0× 119 1.2× 52 0.8× 19 610
Nicole Malet 275 0.7× 105 0.5× 49 0.4× 71 0.7× 37 0.6× 17 507
Takashi Shimojo 234 0.6× 120 0.6× 258 2.3× 50 0.5× 33 0.5× 13 576
Myung‐Woo Hwang 256 0.6× 245 1.2× 247 2.2× 46 0.5× 38 0.6× 12 601
Olga Zhelyabovska 327 0.8× 78 0.4× 114 1.0× 61 0.6× 71 1.1× 12 540

Countries citing papers authored by Xue Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xue Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xue Wu

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