Xiaoling Liu

798 total citations · 1 hit paper
9 papers, 553 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 9 papers receiving a total of 553 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 Tuberous Sclerosis Complex Research (1 paper). Xiaoling Liu is often cited by papers focused on CRISPR and Genetic Engineering (2 papers), Climate variability and models (2 papers) and Tuberous Sclerosis Complex Research (1 paper). Xiaoling Liu collaborates with scholars based in China, United States and France. Xiaoling Liu's co-authors include Chaoyi Li, Jianzhao Liu, Ning Zhang, Hailin Wang, Dapeng Zhang, Hua Huang, Di Liu, Guoqiang Zhang, Ying Cheng and Baodong Liu 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 547 citations

Hit Papers

N6-Methyladenine DNA Modification in Drosophila 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaoling Liu China 4 473 57 42 37 28 9 553
Yuewan Luo China 5 551 1.2× 71 1.2× 42 1.0× 47 1.3× 28 1.0× 6 630
Dmitry Oshchepkov Russia 10 324 0.7× 48 0.8× 19 0.5× 62 1.7× 15 0.5× 49 420
Д. В. Копытова Russia 12 506 1.1× 84 1.5× 30 0.7× 46 1.2× 12 0.4× 49 538
Françoise S. Howe United Kingdom 9 504 1.1× 74 1.3× 70 1.7× 49 1.3× 16 0.6× 9 614
Rippei Hayashi Australia 9 378 0.8× 143 2.5× 44 1.0× 38 1.0× 19 0.7× 16 443
Eyal Metzl-Raz Israel 6 427 0.9× 29 0.5× 55 1.3× 101 2.7× 17 0.6× 6 506
Harsha Rajasimha United States 9 711 1.5× 56 1.0× 16 0.4× 118 3.2× 20 0.7× 14 820
Struan C. Murray United Kingdom 7 419 0.9× 73 1.3× 55 1.3× 38 1.0× 14 0.5× 9 502
Harry Fischl United Kingdom 9 465 1.0× 83 1.5× 85 2.0× 45 1.2× 15 0.5× 10 569
Vipin T. Sreedharan Germany 8 439 0.9× 44 0.8× 64 1.5× 46 1.2× 150 5.4× 10 565

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

9 of 9 papers shown
1.
Zhao, Jing, et al.. (2025). Evolutionary game analysis of multi-agent information sharing in blockchain-driven industrial platforms. Advanced Engineering Informatics. 71. 104231–104231.
2.
Li, Bo, et al.. (2024). Hepcidin contributes to largemouth bass (Micropterus salmoides) against bacterial infections. International Journal of Biological Macromolecules. 266(Pt 1). 131144–131144. 9 indexed citations
3.
Liu, Xiaoling, et al.. (2023). A Novel Concatenation Decoding of Reed-Solomon Codes With SPC Product Codes. IEEE Signal Processing Letters. 30. 808–812. 2 indexed citations
4.
Yu, Xin, et al.. (2022). An improved algorithm for residual signal excitation based on LPC 10. 7. 318–323. 1 indexed citations
5.
Zhang, Wenqian, et al.. (2022). Identification and Spatial-Temporal Variation Characteristics of Regional Drought Processes in China. Land. 11(6). 849–849. 1 indexed citations
6.
Liu, Xiaoling, Jovan M. Tadić, Marikate Mountain, et al.. (2021). Data reduction for inverse modeling: an adaptive approach v1.0. Geoscientific model development. 14(7). 4683–4696. 6 indexed citations
7.
Wang, Si, Boqiang Hu, Zhichao Ding, et al.. (2018). ATF6 safeguards organelle homeostasis and cellular aging in human mesenchymal stem cells. Cell Discovery. 4(1). 2–2. 62 indexed citations
8.
Zhang, Guoqiang, Hua Huang, Di Liu, et al.. (2015). N6-Methyladenine DNA Modification in Drosophila. Cell. 161(4). 893–906. 471 indexed citations breakdown →
9.
Zhang, Wei, Wenjuan Yu, Yan Liu, et al.. (2013). [Expression of carbonic anhydrase IX, PAX2 and PAX8 and their association with clinicopathologic characteristics in renal epithelial tumors].. PubMed. 42(7). 442–5. 1 indexed citations

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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