Xiaoling Liu

1.6k total citations
56 papers, 1.2k citations indexed

About

Xiaoling Liu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Xiaoling Liu has authored 56 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 16 papers in Pulmonary and Respiratory Medicine and 15 papers in Immunology. Recurrent topics in Xiaoling Liu's work include Aquaculture disease management and microbiota (10 papers), Ferroptosis and cancer prognosis (7 papers) and RNA modifications and cancer (7 papers). Xiaoling Liu is often cited by papers focused on Aquaculture disease management and microbiota (10 papers), Ferroptosis and cancer prognosis (7 papers) and RNA modifications and cancer (7 papers). Xiaoling Liu collaborates with scholars based in China, United States and Netherlands. Xiaoling Liu's co-authors include Jos Jonkers, Lodewyk F.A. Wessels, Henne Holstege, Jianguo Su, Ron Kerkhoven, Arno Velds, Hanneke van der Gulden, Martin H. van Vliet, Johannes L. Peterse and Gailing Yuan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Oncology.

In The Last Decade

Xiaoling Liu

53 papers receiving 1.2k citations

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 19 615 322 305 286 174 56 1.2k
Yun Tan China 19 519 0.8× 311 1.0× 158 0.5× 183 0.6× 42 0.2× 52 986
Yonghua Bao China 20 707 1.1× 228 0.7× 168 0.6× 384 1.3× 91 0.5× 41 1.2k
Chi Ho Lin Hong Kong 15 1.2k 2.0× 161 0.5× 225 0.7× 484 1.7× 93 0.5× 19 1.8k
Ling Yao China 23 883 1.4× 91 0.3× 231 0.8× 525 1.8× 200 1.1× 104 1.4k
Nanhai He United States 17 2.2k 3.5× 514 1.6× 333 1.1× 180 0.6× 174 1.0× 21 2.8k
Murali Dharan Bashyam India 20 761 1.2× 67 0.2× 261 0.9× 143 0.5× 228 1.3× 55 1.3k
Roman Camarda United States 13 1.1k 1.8× 246 0.8× 392 1.3× 698 2.4× 181 1.0× 17 1.8k
Michael Hamilton United States 19 1.1k 1.7× 186 0.6× 287 0.9× 294 1.0× 122 0.7× 41 1.8k
Giovanna Carrà Italy 20 580 0.9× 1.1k 3.4× 365 1.2× 221 0.8× 112 0.6× 59 1.9k

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

20 of 20 papers shown
1.
Zhou, Yi, Xiaoling Liu, Ting Cheng, et al.. (2025). Integrative deep learning and radiomics analysis for ovarian tumor classification and diagnosis: a multicenter large-sample comparative study. La radiologia medica. 130(6). 889–904.
2.
Liu, Xiaoling, Yan Feng, Soon-Duck Ha, et al.. (2024). Peptide Blockers of PD-1-PD-L1 Interaction Reinvigorate PD-1-Suppressed T Cells and Curb Tumor Growth in Mice. Cells. 13(14). 1193–1193. 1 indexed citations
3.
4.
Zhu, Qingfu, Hao Xu, Liu Huang, et al.. (2023). Identification and detection of plasma extracellular vesicles-derived biomarkers for esophageal squamous cell carcinoma diagnosis. Biosensors and Bioelectronics. 225. 115088–115088. 20 indexed citations
5.
6.
Hu, Bowen, Yan Liu, Haojie Wang, et al.. (2023). Analysis of Risk Factors for Early Progression of Prostate Cancer After Initial Endocrine Therapy. Journal of Cancer. 14(4). 519–531. 3 indexed citations
7.
Li, Wen, Yang Li, Zhuo Chen, et al.. (2022). Analysis of metabolomics and transcriptomics data in head and neck squamous cell carcinoma. Oral Diseases. 29(4). 1464–1479. 3 indexed citations
8.
Ma, Jingyuan, et al.. (2022). Identification of Markers for Diagnosis and Treatment of Diabetic Kidney Disease Based on the Ferroptosis and Immune. Oxidative Medicine and Cellular Longevity. 2022(1). 9957172–9957172. 24 indexed citations
9.
Zhou, Yan, Qiong Yang, Xiaoling Liu, et al.. (2021). Machine learning models for screening carotid atherosclerosis in asymptomatic adults. Scientific Reports. 11(1). 22236–22236. 10 indexed citations
10.
Wang, Huabing, et al.. (2021). Mannose Receptor Mediates the Activation of Chitooligosaccharides on Blunt Snout Bream (Megalobrama amblycephala) Macrophages. Frontiers in Immunology. 12. 686846–686846. 21 indexed citations
11.
Liu, Xiaoling, et al.. (2021). CYP4B1 is a prognostic biomarker and potential therapeutic target in lung adenocarcinoma. PLoS ONE. 16(2). e0247020–e0247020. 26 indexed citations
12.
Cheng, Ke, Qin Tang, Yanqing Huang, et al.. (2020). Effect of vitamin D3 on the immunomodulation of head kidney after Edwardsiella ictaluri challenge in yellow catfish (Pelteobagrus fulvidraco). Fish & Shellfish Immunology. 99. 353–361. 15 indexed citations
13.
14.
Liu, Xiaoling, Jing Ma, Lianyue Ma, et al.. (2018). Overexpression of tissue factor induced atherothrombosis in apolipoprotein E−/− mice via both enhanced plaque thrombogenicity and plaque instability. Journal of Molecular and Cellular Cardiology. 127. 1–10. 12 indexed citations
15.
Wei, Xiaolei, V. Sarath Babu, Li Lin, et al.. (2018). Hepcidin protects grass carp (Ctenopharyngodon idellus) against Flavobacterium columnare infection via regulating iron distribution and immune gene expression. Fish & Shellfish Immunology. 75. 274–283. 44 indexed citations
16.
Zhou, Weidong, Yulei Zhang, Yi Wen, et al.. (2014). Analysis of the transcriptomic profilings of Mandarin fish (Siniperca chuatsi) infected with Flavobacterium columnare with an emphasis on immune responses. Fish & Shellfish Immunology. 43(1). 111–119. 43 indexed citations
17.
Holstege, Henne, Arno Velds, Xiaoling Liu, et al.. (2010). Cross-species comparison of aCGH data from mouse and human BRCA1- and BRCA2-mutated breast cancers. BMC Cancer. 10(1). 455–455. 32 indexed citations
18.
Puppe, Julian, Rinske Drost, Xiaoling Liu, et al.. (2009). BRCA1-deficient mammary tumor cells are dependent on EZH2 expression and sensitive to Polycomb Repressive Complex 2-inhibitor 3-deazaneplanocin A. Breast Cancer Research. 11(4). R63–R63. 95 indexed citations
19.
Liu, Xiaoling, Jun Gao, Cunzhi Han, & Lijuan Qiao. (2008). [Pre- and post-chemotherapy expressions of Th1 and Th2 type cytokines and their clinical significance in gastric cancer patients].. PubMed. 30(11). 844–7. 2 indexed citations
20.
Liu, Xiaoling, Patrick W.B. Derksen, Bastiaan Evers, et al.. (2005). Conditional mouse models of breast cancer. Cancer Research. 65. 250–251. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yun Tan Breakdown of academic impact, for papers by Yonghua Bao Breakdown of academic impact, for papers by Chi Ho Lin Breakdown of academic impact, for papers by Ling Yao Breakdown of academic impact, for papers by Nanhai He Breakdown of academic impact, for papers by Murali Dharan Bashyam Breakdown of academic impact, for papers by Roman Camarda Breakdown of academic impact, for papers by Michael Hamilton Breakdown of academic impact, for papers by Giovanna Carrà
Rankless by CCL
2026