Xiaoling Ying

32 total papers · 901 total citations
23 papers, 626 citations indexed

About

Xiaoling Ying is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Xiaoling Ying has authored 23 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Cancer Research and 4 papers in Surgery. Recurrent topics in Xiaoling Ying's work include RNA modifications and cancer (12 papers), Cancer-related molecular mechanisms research (6 papers) and Cancer-related gene regulation (6 papers). Xiaoling Ying is often cited by papers focused on RNA modifications and cancer (12 papers), Cancer-related molecular mechanisms research (6 papers) and Cancer-related gene regulation (6 papers). Xiaoling Ying collaborates with scholars based in China, United States and United Kingdom. Xiaoling Ying's co-authors include Weidong Ji, Haiqing Zhang, Defeng Qi, Shuibin Lin, Yinghui Chao, Huan Jin, Min Wang, Bixia Liu, Yapeng Huang and Xiaoxue Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Oncogene and Advanced Science.

In The Last Decade

Xiaoling Ying

21 papers receiving 625 citations

Author Peers

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

Author Last Decade Papers Cites
Xiaoling Ying 549 314 77 63 58 23 626
Di Peng 512 0.9× 273 0.9× 32 0.4× 64 1.0× 52 0.9× 25 667
Zhidong Liu 315 0.6× 311 1.0× 66 0.9× 78 1.2× 93 1.6× 28 574
Stephanie Oerum 685 1.2× 261 0.8× 55 0.7× 57 0.9× 16 0.3× 14 752
Qun Lv 455 0.8× 211 0.7× 55 0.7× 48 0.8× 107 1.8× 25 670
Zhen Sun 601 1.1× 320 1.0× 12 0.2× 38 0.6× 38 0.7× 27 760
Xingui Wu 563 1.0× 320 1.0× 33 0.4× 83 1.3× 45 0.8× 21 690
Song-Mei Liu 604 1.1× 359 1.1× 27 0.4× 44 0.7× 20 0.3× 17 703
Bo Shao 466 0.8× 329 1.0× 19 0.2× 61 1.0× 50 0.9× 19 662
Shuhui Si 442 0.8× 220 0.7× 42 0.5× 78 1.2× 58 1.0× 20 564
Yayun Gu 483 0.9× 244 0.8× 11 0.1× 64 1.0× 77 1.3× 46 676

Countries citing papers authored by Xiaoling Ying

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Ying

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoling Ying

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