Yun-Xin Lu

23 total papers · 2.2k total citations
14 papers, 1.2k citations indexed

About

Yun-Xin Lu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yun-Xin Lu has authored 14 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Yun-Xin Lu's work include Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (3 papers) and RNA modifications and cancer (3 papers). Yun-Xin Lu is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (3 papers) and RNA modifications and cancer (3 papers). Yun-Xin Lu collaborates with scholars based in China, United States and Hong Kong. Yun-Xin Lu's co-authors include Rui‐Hua Xu, Zhao-Lei Zeng, Huai‐Qiang Ju, Dong-liang Chen, Dan Xie, Yuhong Li, Feng-Hua Wang, Peng Huang, Zhi-Zhong Pan and Qi-Nian Wu and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Cancer Research and Gut.

In The Last Decade

Yun-Xin Lu

13 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Yun-Xin Lu 805 720 260 162 96 14 1.2k
Nadire Duru 797 1.0× 519 0.7× 405 1.6× 168 1.0× 43 0.4× 26 1.4k
Fiona M. Blows 565 0.7× 454 0.6× 618 2.4× 159 1.0× 104 1.1× 19 1.4k
Weitao Shen 778 1.0× 473 0.7× 253 1.0× 340 2.1× 53 0.6× 18 1.3k
Robert Lemos 872 1.1× 526 0.7× 437 1.7× 206 1.3× 157 1.6× 20 1.4k
Laura Braccini 877 1.1× 272 0.4× 239 0.9× 116 0.7× 115 1.2× 12 1.3k
Kanika A. Bowen 646 0.8× 218 0.3× 287 1.1× 107 0.7× 93 1.0× 15 942
Chanyu Yue 641 0.8× 469 0.7× 433 1.7× 122 0.8× 83 0.9× 12 1.2k
Huaitian Liu 846 1.1× 330 0.5× 276 1.1× 188 1.2× 82 0.9× 30 1.2k
Liyan Lv 1.0k 1.3× 912 1.3× 232 0.9× 184 1.1× 63 0.7× 21 1.4k
Mita Mukherjee 966 1.2× 691 1.0× 226 0.9× 68 0.4× 58 0.6× 10 1.2k

Countries citing papers authored by Yun-Xin Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yun-Xin Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun-Xin Lu. 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 Yun-Xin Lu. The network helps show where Yun-Xin Lu may publish in the future.

Co-authorship network of co-authors of Yun-Xin Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Yun-Xin Lu. A scholar is included among the top collaborators of Yun-Xin Lu 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 Yun-Xin Lu. Yun-Xin Lu 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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