Xiaolin Yu

952 total citations
33 papers, 720 citations indexed

About

Xiaolin Yu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Xiaolin Yu has authored 33 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 11 papers in Molecular Biology and 9 papers in Cognitive Neuroscience. Recurrent topics in Xiaolin Yu's work include Heart Rate Variability and Autonomic Control (9 papers), EEG and Brain-Computer Interfaces (7 papers) and Non-Invasive Vital Sign Monitoring (4 papers). Xiaolin Yu is often cited by papers focused on Heart Rate Variability and Autonomic Control (9 papers), EEG and Brain-Computer Interfaces (7 papers) and Non-Invasive Vital Sign Monitoring (4 papers). Xiaolin Yu collaborates with scholars based in China and United States. Xiaolin Yu's co-authors include Jianbao Zhang, Dongdong Xie, Xiang Ye, Xingbang Wang, Wen Wang, Ming Yang, Xinwei Wu, Ming Yang, Congcong Sun and Wei Lin and has published in prestigious journals such as Food Chemistry, Journal of Applied Physiology and Medicine.

In The Last Decade

Xiaolin Yu

32 papers receiving 699 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 Yu China 14 332 163 134 116 84 33 720
Francesca M. Notarangelo United States 20 268 0.8× 140 0.9× 29 0.2× 90 0.8× 76 0.9× 33 1.2k
Matthew Butler United Kingdom 14 220 0.7× 41 0.3× 47 0.4× 182 1.6× 22 0.3× 40 769
Ignazio Vecchio Italy 16 126 0.4× 51 0.3× 46 0.3× 73 0.6× 102 1.2× 50 818
Fahad S. Alshehri Saudi Arabia 17 144 0.4× 19 0.1× 54 0.4× 116 1.0× 58 0.7× 64 874
Sofiane Kab France 15 129 0.4× 94 0.6× 35 0.3× 104 0.9× 56 0.7× 51 987
E. Klein United States 12 348 1.0× 45 0.3× 314 2.3× 117 1.0× 38 0.5× 19 1.5k
Benito Morentín Spain 21 200 0.6× 288 1.8× 42 0.3× 38 0.3× 20 0.2× 66 1.0k
Christopher Spankovich United States 19 75 0.2× 36 0.2× 730 5.4× 73 0.6× 298 3.5× 64 1.3k
Margaret A. French United States 18 127 0.4× 40 0.2× 119 0.9× 119 1.0× 35 0.4× 51 1.0k
Rongjuan Guo China 16 255 0.8× 23 0.1× 115 0.9× 111 1.0× 112 1.3× 49 802

Countries citing papers authored by Xiaolin Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolin Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolin Yu. A scholar is included among the top collaborators of Xiaolin Yu 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 Yu. Xiaolin Yu 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.
Shang, Kuanping, Mingguang Shan, Le Wang, et al.. (2025). An “on–off-on” photoelectrochemical aptasensor using CoO as a signal label for T-2 toxin detection. Microchimica Acta. 192(6). 338–338. 1 indexed citations
2.
Yu, Xiaolin, et al.. (2025). Low apolipoprotein B and LDL-cholesterol are associated with the risk of cardiovascular and all-cause mortality: a prospective cohort. Annals of Medicine. 57(1). 2529565–2529565. 1 indexed citations
3.
Yu, Xiaolin, et al.. (2024). Dye-sensitized NiO photocathode sensor based on signal-sensitive change strategy for MC-LR detection. Microchimica Acta. 191(9). 567–567. 2 indexed citations
4.
Chen, Xingyu, et al.. (2024). Theoretical and FEA study on shear performance of novel shear connectors. Journal of Constructional Steel Research. 225. 109186–109186. 1 indexed citations
5.
6.
Zhao, Yuying, Xiaolin Yu, Jingzhen He, et al.. (2024). Intracranial vasculopathy: an important organ damage in young adult patients with late-onset Pompe disease. Orphanet Journal of Rare Diseases. 19(1). 267–267. 2 indexed citations
7.
8.
Liu, Fen, Wenling Li, Jixin Zhang, et al.. (2023). Metabolic Score for Insulin Resistance (METS-IR) Predicts Adverse Cardiovascular Events in Patients with Type 2 Diabetes and Ischemic Cardiomyopathy. Diabetes Metabolic Syndrome and Obesity. Volume 16. 1283–1295. 16 indexed citations
9.
Yu, Xiaolin, Qian Zhao, Fen Liu, et al.. (2022). Long-term prognostic value of macrophage migration inhibitory factor in ST-segment elevation myocardial infarction patients with metabolic syndrome after percutaneous coronary intervention. Frontiers in Cardiovascular Medicine. 9. 947395–947395. 2 indexed citations
10.
Zhou, Xueying, Xiang Ye, Xiaolin Yu, et al.. (2021). Epidemiological and Clinical Characteristics of Sporadic Creutzfeldt–Jakob Disease: A Retrospective Study in Eastern China. Frontiers in Neurology. 12. 700485–700485. 6 indexed citations
11.
Li, Na, Congcong Sun, Xinwei Wu, et al.. (2019). Change of intestinal microbiota in cerebral ischemic stroke patients. BMC Microbiology. 19(1). 191–191. 218 indexed citations
12.
Wang, Wei, Feng Qiu, Yumei Li, et al.. (2019). [Mass spectrometry-based identification of new serum biomarkers in patients with multidrug resistant pulmonary tuberculosis].. PubMed. 39(12). 1409–1420. 2 indexed citations
13.
Wang, Xiaoni, et al.. (2016). Cerebral and neural regulation of cardiovascular activity during mental stress. BioMedical Engineering OnLine. 15(S2). 160–160. 42 indexed citations
14.
Welsh, Kerry J., et al.. (2016). Assessment of thyroid function in intensive care unit patients by liquid chromatography tandem mass spectrometry methods. Clinical Biochemistry. 50(6). 318–322. 15 indexed citations
15.
Yu, Xiaolin, et al.. (2013). Volitional control of the heart rate. International Journal of Psychophysiology. 90(2). 143–148. 11 indexed citations
16.
Zhang, Jianbao, Xiaolin Yu, & Dongdong Xie. (2009). Effects of mental tasks on the cardiorespiratory synchronization. Respiratory Physiology & Neurobiology. 170(1). 91–95. 39 indexed citations
17.
Yu, Xiaolin, Jianbao Zhang, Dongdong Xie, Jue Wang, & Chong Zhang. (2009). Relationship between scalp potential and autonomic nervous activity during a mental arithmetic task. Autonomic Neuroscience. 146(1-2). 81–86. 55 indexed citations
18.
Yu, Xiaolin, et al.. (2005). Synthesis and assay of isoquinoline derivatives as HIV-1 Tat–TAR interaction inhibitors. Bioorganic & Medicinal Chemistry Letters. 15(17). 3978–3981. 26 indexed citations
19.
Wang, Min, Zhidong Xu, Peng‐Fei Tu, et al.. (2004). α,α-Trehalose derivatives bearing guanidino groups as inhibitors to HIV-1 Tat–TAR RNA interaction in human cells. Bioorganic & Medicinal Chemistry Letters. 14(10). 2585–2588. 12 indexed citations
20.
Yu, Xiaolin, Wei Lin, Jingyun Li, & Ming Yang. (2004). Synthesis and biological evaluation of novel β-carboline derivatives as Tat–TAR interaction inhibitors. Bioorganic & Medicinal Chemistry Letters. 14(12). 3127–3130. 46 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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