Yu-Lun Liao

9 total papers · 1.0k total citations
7 papers, 900 citations indexed

About

Yu-Lun Liao is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Yu-Lun Liao has authored 7 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cancer Research and 2 papers in Genetics. Recurrent topics in Yu-Lun Liao's work include RNA modifications and cancer (5 papers), MicroRNA in disease regulation (5 papers) and Cancer-related molecular mechanisms research (3 papers). Yu-Lun Liao is often cited by papers focused on RNA modifications and cancer (5 papers), MicroRNA in disease regulation (5 papers) and Cancer-related molecular mechanisms research (3 papers). Yu-Lun Liao collaborates with scholars based in Taiwan, United States and Slovenia. Yu-Lun Liao's co-authors include Ann‐Ping Tsou, Wen‐chang Lin, Kuo‐Wang Tsai, Meng‐Ru Ho, Chun-Hung Lai, Sung‐Chou Li, Ming‐Ta Hsu, Hsien‐Da Huang, Yat‐Pang Chau and Michael Hsiao and has published in prestigious journals such as Hepatology, Carcinogenesis and BMC Genomics.

In The Last Decade

Yu-Lun Liao

7 papers receiving 889 citations

Author Peers

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

Author Last Decade Papers Cites
Yu-Lun Liao 742 679 60 60 60 7 900
Michael Rutenberg-Schoenberg 764 1.0× 342 0.5× 40 0.7× 52 0.9× 126 2.1× 9 965
Uwe Galli 622 0.8× 372 0.5× 122 2.0× 41 0.7× 51 0.8× 11 809
Erik Wendlandt 514 0.7× 410 0.6× 123 2.0× 88 1.5× 42 0.7× 15 817
Marion Krieg 497 0.7× 494 0.7× 102 1.7× 31 0.5× 74 1.2× 8 747
Daniela Pollutri 653 0.9× 618 0.9× 59 1.0× 89 1.5× 15 0.3× 14 857
Anmin Liang 660 0.9× 563 0.8× 148 2.5× 125 2.1× 27 0.5× 13 894
Chenlong Song 768 1.0× 526 0.8× 144 2.4× 70 1.2× 19 0.3× 11 994
Christos Filippidis 690 0.9× 676 1.0× 39 0.7× 34 0.6× 43 0.7× 6 924
T Urashima 803 1.1× 809 1.2× 28 0.5× 128 2.1× 16 0.3× 6 993
Jingmin Shu 796 1.1× 181 0.3× 70 1.2× 49 0.8× 127 2.1× 13 950

Countries citing papers authored by Yu-Lun Liao

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Lun Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu-Lun Liao

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