Xiaoling Liu

16 total papers · 789 total citations
8 papers, 547 citations indexed

About

Xiaoling Liu is a scholar working on Molecular Biology, Artificial Intelligence and Global and Planetary Change. According to data from OpenAlex, Xiaoling Liu has authored 8 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Artificial Intelligence and 2 papers in Global and Planetary Change. Recurrent topics in Xiaoling Liu's work include CRISPR and Genetic Engineering (2 papers), Climate variability and models (2 papers) and Genetics, Aging, and Longevity in Model Organisms (1 paper). Xiaoling Liu is often cited by papers focused on CRISPR and Genetic Engineering (2 papers), Climate variability and models (2 papers) and Genetics, Aging, and Longevity in Model Organisms (1 paper). Xiaoling Liu collaborates with scholars based in China and United States. Xiaoling Liu's co-authors include Chaoyi Li, Guoqiang Zhang, Dahua Chen, Jianzhao Liu, Ruichuan Yin, Dapeng Zhang, Yuewan Luo, Ying Cheng, Di Liu and Yuanxiang Zhu and has published in prestigious journals such as Cell, International Journal of Biological Macromolecules and IEEE Signal Processing Letters.

In The Last Decade

Xiaoling Liu

8 papers receiving 540 citations

Hit Papers

N6-Methyladenine DNA Modi... 2015 2026 2018 2022 2015 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Xiaoling Liu 468 57 42 37 27 8 547
Joyce Snipe 497 1.1× 52 0.9× 61 1.5× 60 1.6× 39 1.4× 10 579
Suraiya Haroon 452 1.0× 38 0.7× 25 0.6× 65 1.8× 30 1.1× 13 553
Christian Fritze 423 0.9× 61 1.1× 11 0.3× 43 1.2× 33 1.2× 6 501
Maria Cristina Onorati 424 0.9× 88 1.5× 99 2.4× 46 1.2× 16 0.6× 11 478
Françoise S. Howe 496 1.1× 73 1.3× 68 1.6× 49 1.3× 16 0.6× 9 605
Sung-Keun Lee 363 0.8× 57 1.0× 83 2.0× 66 1.8× 15 0.6× 9 448
Fabien Moretto 330 0.7× 51 0.9× 35 0.8× 29 0.8× 72 2.7× 9 452
Aaron C. Daugherty 450 1.0× 52 0.9× 52 1.2× 84 2.3× 11 0.4× 7 546
Alessandra Brambati 516 1.1× 56 1.0× 52 1.2× 65 1.8× 47 1.7× 9 569
Eyal Metzl-Raz 424 0.9× 29 0.5× 55 1.3× 100 2.7× 29 1.1× 6 503

Countries citing papers authored by Xiaoling Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoling Liu

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