Xiuli Liu

131 total papers · 2.8k total citations
76 papers, 1.9k citations indexed

About

Xiuli Liu is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Xiuli Liu has authored 76 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 15 papers in Cancer Research and 14 papers in Genetics. Recurrent topics in Xiuli Liu's work include RNA modifications and cancer (9 papers), Epigenetics and DNA Methylation (8 papers) and Inflammatory Bowel Disease (7 papers). Xiuli Liu is often cited by papers focused on RNA modifications and cancer (9 papers), Epigenetics and DNA Methylation (8 papers) and Inflammatory Bowel Disease (7 papers). Xiuli Liu collaborates with scholars based in China, United States and New Zealand. Xiuli Liu's co-authors include Rick G. Schnellmann, Terry Van Vleet, Donald M. Kuhn, Dina M. Francescutti‐Verbeem, David M. Thomas, Xiaoying Bai, W. Lee Kraus, Timothy J. Geddes, Chun‐Wei Peng and Xin Liu and has published in prestigious journals such as Nature Communications, Blood and Molecular Cell.

In The Last Decade

Xiuli Liu

71 papers receiving 1.9k citations

Author Peers

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

Author Last Decade Papers Cites
Xiuli Liu 1.1k 303 245 236 207 76 1.9k
Shan Jiang 1.5k 1.4× 426 1.4× 245 1.0× 299 1.3× 105 0.5× 95 2.3k
Yimin Fang 1.7k 1.6× 289 1.0× 208 0.8× 380 1.6× 147 0.7× 59 2.8k
Chikara Shimizu 926 0.9× 278 0.9× 239 1.0× 132 0.6× 115 0.6× 95 2.1k
Jane McHowat 1.5k 1.4× 258 0.9× 216 0.9× 267 1.1× 148 0.7× 102 2.9k
Leslie R. Ballou 1.1k 1.0× 209 0.7× 170 0.7× 185 0.8× 137 0.7× 46 2.4k
Ying Hu 1.3k 1.2× 227 0.7× 220 0.9× 328 1.4× 286 1.4× 92 2.2k
Thomas Herget 1.7k 1.6× 299 1.0× 179 0.7× 258 1.1× 302 1.5× 59 2.7k
Noritada Yoshikawa 1.1k 1.0× 163 0.5× 172 0.7× 183 0.8× 114 0.6× 56 2.1k
Annette Bakker 1.4k 1.4× 262 0.9× 288 1.2× 167 0.7× 103 0.5× 61 2.3k
Madhu Gupta 1.8k 1.6× 419 1.4× 244 1.0× 156 0.7× 142 0.7× 73 3.0k

Countries citing papers authored by Xiuli Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiuli Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiuli Liu

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