Xiaolin Liu

497 total citations
18 papers, 276 citations indexed

About

Xiaolin Liu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Xiaolin Liu has authored 18 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Epidemiology. Recurrent topics in Xiaolin Liu's work include Artificial Intelligence in Healthcare and Education (3 papers), Titanium Alloys Microstructure and Properties (2 papers) and Lipid metabolism and disorders (2 papers). Xiaolin Liu is often cited by papers focused on Artificial Intelligence in Healthcare and Education (3 papers), Titanium Alloys Microstructure and Properties (2 papers) and Lipid metabolism and disorders (2 papers). Xiaolin Liu collaborates with scholars based in China, Hong Kong and United States. Xiaolin Liu's co-authors include Zhen Fang, Fengxiang Zhang, Yuelin Zhang, Yue Ding, Yan Xu, Xiaoting Liang, Jitao Ling, Peng Yu, Zhiwei Yan and Xiao Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Chemosphere.

In The Last Decade

Xiaolin Liu

18 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaolin Liu China 10 66 65 52 47 45 18 276
Cristina Sanina United States 9 35 0.5× 100 1.5× 24 0.5× 52 1.1× 169 3.8× 18 324
Brian Hardaway United States 7 26 0.4× 58 0.9× 10 0.2× 6 0.1× 95 2.1× 22 196
Quanliang Shang China 11 37 0.6× 55 0.8× 4 0.1× 6 0.1× 115 2.6× 30 276
Shengsheng Lai China 12 36 0.5× 20 0.3× 8 0.2× 33 0.7× 7 0.2× 25 319
Weikun Li China 9 21 0.3× 61 0.9× 13 0.3× 3 0.1× 9 0.2× 35 281
Ya Yang China 7 40 0.6× 67 1.0× 8 0.2× 46 1.0× 1 0.0× 13 247
Zirui Jiang United States 8 30 0.5× 64 1.0× 19 0.4× 2 0.0× 9 0.2× 26 293
Xiaofeng He China 11 25 0.4× 111 1.7× 3 0.1× 7 0.1× 6 0.1× 48 348

Countries citing papers authored by Xiaolin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolin Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolin Liu. A scholar is included among the top collaborators of Xiaolin 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 Xiaolin Liu. Xiaolin Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Xie, Chen, Xiaolin Liu, Yun Cheung Kong, et al.. (2025). Identification of Epigenetic Regulators of Vascular Calcification with a CRISPR-Based Screen. Journal of the American Society of Nephrology. 36(12). 2378–2391. 1 indexed citations
2.
Liang, Yan, Xiaolin Liu, Hongqin Wang, et al.. (2024). Untargeted metabolomics combined with pseudotargeted lipidomics revealed the metabolite profiles of blood-stasis syndrome in type 2 diabetes mellitus. Heliyon. 10(20). e39554–e39554. 3 indexed citations
3.
Liu, Xiaolin, Song Zhang, Ge Zhou, et al.. (2024). Hot deformation behavior and dynamic recrystallization of Ti−3Mo−6Cr−3Al−3Sn titanium alloy. Materialwissenschaft und Werkstofftechnik. 2 indexed citations
4.
Wu, Yuting, Jitao Ling, Yue Wang, et al.. (2023). How does ChatGPT-4 preform on non-English national medical licensing examination? An evaluation in Chinese language. SHILAP Revista de lepidopterología. 2(12). e0000397–e0000397. 43 indexed citations
5.
Shi, Yuqi, Jiaxi Lin, Jinzhou Zhu, et al.. (2023). Predicting the Recurrence of Common Bile Duct Stones After ERCP Treatment with Automated Machine Learning Algorithms. Digestive Diseases and Sciences. 68(7). 2866–2877. 5 indexed citations
6.
Wang, Yan, Yong Zhang, Xiaolin Liu, et al.. (2023). Construction of amidoxime-functionalized magnetic hydroxyapatite with enhanced uranium extraction performance from aqueous solution and seawater. Chemosphere. 343. 140257–140257. 17 indexed citations
7.
Wang, Hongqin, et al.. (2023). Current status and emerging trends of cardiac metabolism from the past 20 years: A bibliometric study. Heliyon. 9(11). e21952–e21952. 1 indexed citations
8.
Yu, Peng, Xiaolin Liu, Jitao Ling, et al.. (2023). Performance of ChatGPT on the Chinese Postgraduate Examination for Clinical Medicine: Survey Study. JMIR Medical Education. 10. e48514–e48514. 20 indexed citations
10.
Zhang, Yan, et al.. (2022). Diagnostic Value and Prognostic Significance of Procalcitonin Combined with C-Reactive Protein in Patients with Bacterial Bloodstream Infection. Computational and Mathematical Methods in Medicine. 2022. 1–7. 10 indexed citations
11.
Zhang, Liguo, et al.. (2022). Artificial Intelligence in Education: Ethical Issues and its Regulations. 1–6. 2 indexed citations
12.
Zhou, Changyou, Yan D. Zhao, Xin Mu, et al.. (2019). MA11.06 A PII Study of Toripalimab, a PD-1 mAb, in Combination with Chemotherapy in EGFR+ Advanced NSCLC Patients Failed to Prior EGFR TKI Therapies. Journal of Thoracic Oncology. 14(10). S292–S292. 21 indexed citations
13.
Chen, Yifei, Mengmeng Li, Yu Zhang, et al.. (2018). Traditional Chinese medication Tongxinluo attenuates apoptosis in ox-LDL-stimulated macrophages by enhancing Beclin-1-induced autophagy. Biochemical and Biophysical Research Communications. 501(2). 336–342. 27 indexed citations
14.
Liu, Xiaolin, Yuelin Zhang, Xiaoting Liang, et al.. (2016). Enhanced cell survival and paracrine effects of mesenchymal stem cells overexpressing hepatocyte growth factor promote cardioprotection in myocardial infarction. Experimental Cell Research. 344(1). 30–39. 81 indexed citations
15.
Ma, Ling, Xiaolin Liu, Hongtao Lu, et al.. (2015). Traditional Chinese medication Tongxinluo inhibits inflammatory angiogenesis via Bmx/NF- B/MAPK pathways. European Heart Journal Supplements. 17(suppl B). B13–B22. 9 indexed citations
16.
Huang, Jingyi, et al.. (2014). Research on UPLC-PDA fingerprint of andrographis paniculata and quantitative determination of 4 major constituents. China Journal of Chinese Materia Medica. 39(21). 4240–5. 3 indexed citations
17.
Shi, Jing, Xiaolin Liu, Yun Yan, et al.. (2013). Synthesis and structure of Pb13Na(μ3-O)(μ3-OH)(BDC)12: A holodirected/hemidirected mixed Pb–Na heterometal coordination polymer with Pb12O20 cage. Inorganic Chemistry Communications. 36. 216–219. 3 indexed citations
18.
Zhang, Yucai, Xingwang Li, Xiaodong Zhu, et al.. (2010). Clinical characteristics and treatment of severe encephalitis associated with neurogenic pulmonary edema caused by enterovirus 71 in China.. PubMed. 1(2). 108–13. 12 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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