Yingkuan Liang

35 total papers · 719 total citations
25 papers, 487 citations indexed

About

Yingkuan Liang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yingkuan Liang has authored 25 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Cancer Research and 10 papers in Oncology. Recurrent topics in Yingkuan Liang's work include Circular RNAs in diseases (8 papers), Cancer-related molecular mechanisms research (7 papers) and MicroRNA in disease regulation (6 papers). Yingkuan Liang is often cited by papers focused on Circular RNAs in diseases (8 papers), Cancer-related molecular mechanisms research (7 papers) and MicroRNA in disease regulation (6 papers). Yingkuan Liang collaborates with scholars based in China, United States and Taiwan. Yingkuan Liang's co-authors include Feng Jiang, Qixing Mao, Gaochao Dong, Bing Chen, Wenjie Xia, Xuming Song, Lin Xu, Hui Wang, Te Zhang and Te Zhang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Yingkuan Liang

23 papers receiving 485 citations

Author Peers

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

Author Last Decade Papers Cites
Yingkuan Liang 361 236 105 81 54 25 487
Haiping Pei 321 0.9× 198 0.8× 141 1.3× 70 0.9× 47 0.9× 20 521
Huinian Zhou 382 1.1× 206 0.9× 145 1.4× 89 1.1× 53 1.0× 27 549
Haoyi Jin 398 1.1× 297 1.3× 108 1.0× 77 1.0× 65 1.2× 19 535
Qi Zhou 289 0.8× 196 0.8× 145 1.4× 80 1.0× 59 1.1× 33 503
Peng Wu 335 0.9× 281 1.2× 122 1.2× 133 1.6× 42 0.8× 25 537
Songming Ding 334 0.9× 231 1.0× 125 1.2× 70 0.9× 29 0.5× 20 507
Lanping Zhou 360 1.0× 166 0.7× 129 1.2× 70 0.9× 55 1.0× 23 518
Helen Ross‐Adams 229 0.6× 173 0.7× 103 1.0× 117 1.4× 44 0.8× 17 499
Longrong Wang 321 0.9× 243 1.0× 109 1.0× 109 1.3× 40 0.7× 26 546
Wenzheng Fang 328 0.9× 148 0.6× 124 1.2× 80 1.0× 37 0.7× 27 451

Countries citing papers authored by Yingkuan Liang

Since Specialization
Citations

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

Fields of papers citing papers by Yingkuan Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingkuan Liang

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