Xiaoya Guo

651 total citations
43 papers, 470 citations indexed

About

Xiaoya Guo is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xiaoya Guo has authored 43 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Surgery, 16 papers in Pulmonary and Respiratory Medicine and 16 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xiaoya Guo's work include Coronary Interventions and Diagnostics (22 papers), Cardiac Imaging and Diagnostics (15 papers) and Cerebrovascular and Carotid Artery Diseases (10 papers). Xiaoya Guo is often cited by papers focused on Coronary Interventions and Diagnostics (22 papers), Cardiac Imaging and Diagnostics (15 papers) and Cerebrovascular and Carotid Artery Diseases (10 papers). Xiaoya Guo collaborates with scholars based in China, United States and Bangladesh. Xiaoya Guo's co-authors include Lei Cheng, Xiaofeng Zhang, Zhanhui Wang, Jim X Shen, Zhenli Liu, Dalin Tang, Huilian Che, Akiko Maehara, Gary S. Mintz and Habib Samady and has published in prestigious journals such as PLoS ONE, Food Chemistry and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Xiaoya Guo

35 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoya Guo China 12 183 137 101 94 91 43 470
Menɡ Ninɡ China 15 82 0.4× 84 0.6× 44 0.4× 80 0.9× 37 0.4× 70 716
Simon Byrns Canada 8 99 0.5× 66 0.5× 27 0.3× 11 0.1× 67 0.7× 12 581
Tae Hwan Kim South Korea 15 145 0.8× 63 0.5× 286 2.8× 71 0.8× 58 0.6× 33 793
Mingfei Chen China 10 183 1.0× 57 0.4× 51 0.5× 32 0.3× 20 0.2× 24 456
Alexandru Scafa‐Udriște Romania 13 145 0.8× 72 0.5× 66 0.7× 51 0.5× 6 0.1× 72 546
Kai Ji China 13 190 1.0× 58 0.4× 27 0.3× 15 0.2× 30 0.3× 19 512
Xiaoping Meng China 9 102 0.6× 32 0.2× 46 0.5× 8 0.1× 15 0.2× 28 492
Yufan Zhang China 15 60 0.3× 57 0.4× 83 0.8× 119 1.3× 15 0.2× 54 574
Yunfei Zhang China 14 46 0.3× 31 0.2× 88 0.9× 214 2.3× 57 0.6× 66 629
John T. Young United States 8 147 0.8× 249 1.8× 89 0.9× 20 0.2× 9 0.1× 13 505

Countries citing papers authored by Xiaoya Guo

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoya Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoya Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoya Guo. A scholar is included among the top collaborators of Xiaoya Guo 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 Xiaoya Guo. Xiaoya Guo 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
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He, Wangpeng, Xiaoya Guo, Mingxuan Li, Mingquan Zhang, & Binqiang Chen. (2024). LPF/OGS: A Low-Pass Filtering and Overlapping Group Shrinkage Denoising Method for Diesel Engine Fault Diagnosis. IEEE Sensors Journal. 24(6). 8403–8413. 3 indexed citations
4.
Guo, Xiaoya, et al.. (2024). Comparison of Biomechanical and Microstructural Properties of Aortic Graft Materials in Aortic Repair Surgeries. Journal of Functional Biomaterials. 15(9). 248–248. 1 indexed citations
5.
Guo, Xiaoya, et al.. (2024). Layer-specific biomechanical and histological properties of normal and dissected human ascending aortas. Heliyon. 10(14). e34646–e34646. 2 indexed citations
6.
Wang, Liang, Zaozao Chen, Yi Yang, et al.. (2023). A new approach of using organ-on-a-chip and fluid–structure interaction modeling to investigate biomechanical characteristics in tissue-engineered blood vessels. Frontiers in Physiology. 14. 1210826–1210826. 20 indexed citations
7.
Wang, Liang, Akiko Maehara, Mitsuaki Matsumura, et al.. (2023). Combining IVUS + OCT Data, Biomechanical Models and Machine Learning Method for Accurate Coronary Plaque Morphology Quantification and Cap Thickness and Stress/Strain Index Predictions. Journal of Functional Biomaterials. 14(1). 41–41. 9 indexed citations
8.
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Wang, Liang, Akiko Maehara, Xiaoya Guo, et al.. (2022). Image-based biomechanical modeling for coronary atherosclerotic plaque progression and vulnerability prediction. International Journal of Cardiology. 352. 1–8. 8 indexed citations
10.
Guo, Xiaoya, Akiko Maehara, Mingming Yang, et al.. (2022). Predicting Coronary Stenosis Progression Using Plaque Fatigue From IVUS-Based Thin-Slice Models: A Machine Learning Random Forest Approach. Frontiers in Physiology. 13. 912447–912447. 2 indexed citations
11.
Maehara, Akiko, Mitsuaki Matsumura, Liang Wang, et al.. (2021). Using Optical Coherence Tomography and Intravascular Ultrasound Imaging to Quantify Coronary Plaque Cap Stress/Strain and Progression: A Follow-Up Study Using 3D Thin-Layer Models. Frontiers in Bioengineering and Biotechnology. 9. 713525–713525. 11 indexed citations
12.
Wang, Liang, Jian Zhu, Akiko Maehara, et al.. (2021). Quantifying Patient-Specific in vivo Coronary Plaque Material Properties for Accurate Stress/Strain Calculations: An IVUS-Based Multi-Patient Study. Frontiers in Physiology. 12. 721195–721195. 8 indexed citations
13.
Guo, Xiaoya, et al.. (2021). High-Fat Diet-Induced Obesity Aggravates Food Allergy by Intestinal Barrier Destruction and Inflammation. International Archives of Allergy and Immunology. 183(1). 80–92. 23 indexed citations
14.
Wang, Junjuan, et al.. (2021). Gender differences in food allergy depend on the PPAR γ/NF-κB in the intestines of mice. Life Sciences. 278. 119606–119606. 18 indexed citations
15.
Cai, Yan, et al.. (2020). Mechanical–chemical coupled modeling of bone regeneration within a biodegradable polymer scaffold loaded with VEGF. Biomechanics and Modeling in Mechanobiology. 19(6). 2285–2306. 16 indexed citations
16.
Maehara, Akiko, Mitsuaki Matsumura, Liang Wang, et al.. (2020). Using optical coherence tomography and intravascular ultrasound imaging to quantify coronary plaque cap thickness and vulnerability: a pilot study. BioMedical Engineering OnLine. 19(1). 90–90. 12 indexed citations
17.
Cheng, Lei, et al.. (2020). Lentinan Inhibited the Activation of Th2 Cells in Allergic Mice by Reducing the Amplitude of Changes in Biological Rhythm. International Archives of Allergy and Immunology. 182(3). 167–181. 5 indexed citations
18.
Guo, Xiaoya, Lei Cheng, Shuaitao Yang, & Huilian Che. (2019). Pro-inflammatory immunological effects of adipose tissue and risk of food allergy in obesity: Focus on immunological mechanisms. Allergologia et Immunopathologia. 48(3). 306–312. 22 indexed citations
19.
Guo, Xiaoya. (2014). Simulation and Analysis on Uncertain Attenuation Property of Underwater Acoustic Signal for Oil Field Pipe. Jisuanji fangzhen. 5 indexed citations
20.
Zhang, Xiaofeng, Zhenli Liu, Xiaoya Guo, et al.. (2008). Simultaneous determination and confirmation of chloramphenicol, thiamphenicol, florfenicol and florfenicol amine in chicken muscle by liquid chromatography–tandem mass spectrometry. Journal of Chromatography B. 875(2). 399–404. 126 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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