Ye‐Lin Liang

48 total papers · 1.3k total citations
21 papers, 523 citations indexed

About

Ye‐Lin Liang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ye‐Lin Liang has authored 21 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Ye‐Lin Liang's work include Cancer-related molecular mechanisms research (12 papers), RNA modifications and cancer (7 papers) and Cancer-related gene regulation (6 papers). Ye‐Lin Liang is often cited by papers focused on Cancer-related molecular mechanisms research (12 papers), RNA modifications and cancer (7 papers) and Cancer-related gene regulation (6 papers). Ye‐Lin Liang collaborates with scholars based in China. Ye‐Lin Liang's co-authors include Na Liu, Yin Zhao, Ying‐Qin Li, Jun Ma, Qing‐Mei He, Shiwei He, Junyan Li, Xiao-Hong Hong, Panpan Zhang and Lei Yuan and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Ye‐Lin Liang

20 papers receiving 521 citations

Author Peers

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

Author Last Decade Papers Cites
Ye‐Lin Liang 399 301 101 74 49 21 523
Dian-na Gu 305 0.8× 282 0.9× 151 1.5× 70 0.9× 72 1.5× 27 515
Ailan Cheng 358 0.9× 133 0.4× 127 1.3× 81 1.1× 50 1.0× 28 489
Zhili Zhao 325 0.8× 171 0.6× 211 2.1× 140 1.9× 49 1.0× 27 571
Shule Xie 435 1.1× 420 1.4× 119 1.2× 51 0.7× 63 1.3× 17 595
Kazuaki Fushimi 335 0.8× 131 0.4× 137 1.4× 51 0.7× 68 1.4× 22 486
Rubo Cao 298 0.7× 248 0.8× 133 1.3× 86 1.2× 53 1.1× 25 475
Marika Crescenzi 264 0.7× 212 0.7× 107 1.1× 57 0.8× 47 1.0× 24 536
Yufang Zuo 455 1.1× 330 1.1× 136 1.3× 38 0.5× 53 1.1× 28 611
Peng Wu 335 0.8× 281 0.9× 122 1.2× 42 0.6× 133 2.7× 25 537
Guang Li 400 1.0× 210 0.7× 95 0.9× 31 0.4× 163 3.3× 24 560

Countries citing papers authored by Ye‐Lin Liang

Since Specialization
Citations

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

Fields of papers citing papers by Ye‐Lin Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ye‐Lin Liang. 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 Ye‐Lin Liang. The network helps show where Ye‐Lin Liang may publish in the future.

Co-authorship network of co-authors of Ye‐Lin Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Ye‐Lin Liang. A scholar is included among the top collaborators of Ye‐Lin Liang 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 Ye‐Lin Liang. Ye‐Lin Liang 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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