Xiaoming Yang

2.4k total citations · 1 hit paper
113 papers, 1.3k citations indexed

About

Xiaoming Yang is a scholar working on Biomedical Engineering, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xiaoming Yang has authored 113 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Biomedical Engineering, 23 papers in Molecular Biology and 21 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xiaoming Yang's work include Ultrasound and Hyperthermia Applications (19 papers), Virus-based gene therapy research (17 papers) and Photoacoustic and Ultrasonic Imaging (13 papers). Xiaoming Yang is often cited by papers focused on Ultrasound and Hyperthermia Applications (19 papers), Virus-based gene therapy research (17 papers) and Photoacoustic and Ultrasonic Imaging (13 papers). Xiaoming Yang collaborates with scholars based in United States, China and Finland. Xiaoming Yang's co-authors include Bensheng Qiu, Ergin Atalar, Linzhao Cheng, Ananda Kumar, Xiangcan Zhan, Jihong Sun, Jean‐Michel Serfaty, Hui Yu, Xiaoqin Lu and Xiangying Du and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Xiaoming Yang

104 papers receiving 1.3k citations

Hit Papers

Healthy lifestyle and life expectancy at age 30 years in ... 2022 2026 2023 2024 2022 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoming Yang United States 19 364 308 242 225 184 113 1.3k
Sarah B. White United States 22 597 1.6× 300 1.0× 207 0.9× 189 0.8× 345 1.9× 98 2.0k
Masakazu Nakano Japan 22 843 2.3× 255 0.8× 332 1.4× 350 1.6× 190 1.0× 97 2.4k
Caterina Guiot Italy 26 290 0.8× 655 2.1× 216 0.9× 68 0.3× 98 0.5× 115 2.0k
Toru Shibata Japan 29 631 1.7× 259 0.8× 348 1.4× 268 1.2× 283 1.5× 126 2.6k
Michael Rosol United States 19 616 1.7× 222 0.7× 183 0.8× 123 0.5× 302 1.6× 33 1.5k
Takashi Miwa Japan 25 430 1.2× 323 1.0× 105 0.4× 53 0.2× 210 1.1× 129 1.9k
Kazuhiro Yoshikawa Japan 26 1.0k 2.9× 273 0.9× 181 0.7× 127 0.6× 219 1.2× 159 2.5k
Lindsay S. Moore United States 16 221 0.6× 339 1.1× 87 0.4× 124 0.6× 236 1.3× 48 1.0k
Keiji Nogami Japan 31 325 0.9× 70 0.2× 193 0.8× 95 0.4× 252 1.4× 283 3.6k
Jochen G. Hofstaetter Austria 28 416 1.1× 337 1.1× 102 0.4× 114 0.5× 1.0k 5.6× 92 2.3k

Countries citing papers authored by Xiaoming Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoming Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoming Yang. A scholar is included among the top collaborators of Xiaoming Yang 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 Xiaoming Yang. Xiaoming Yang 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.
Luo, Wenjie, et al.. (2025). Mitigating Selection Bias in Recommendation Systems Through Sentiment Analysis and Dynamic Debiasing. Applied Sciences. 15(8). 4170–4170.
2.
Meng, Xiangtian, et al.. (2025). FN1 Immunoregulation in Glioblastoma: Insights From Neutrophil‐Centric Studies. Cancer Science. 116(6). 1758–1772.
3.
Wang, Xue, Lu Chen, Jun Lv, et al.. (2024). Diabetes and chronic kidney disease in Chinese adults: a population-based cohort study. BMJ Open Diabetes Research & Care. 12(1). e003721–e003721. 2 indexed citations
5.
Chen, Yiping, Jun Lv, Dianjianyi Sun, et al.. (2024). Reproductive factors and risk of lung cancer among 300,000 Chinese female never-smokers: evidence from the China Kadoorie Biobank study. BMC Cancer. 24(1). 384–384. 4 indexed citations
6.
Li, Aolin, Canqing Yu, Pei Pei, et al.. (2024). Phenotypic Versus Genetic Mismatch of BMI and Type 2 Diabetes: Evidence From Two Prospective Cohort Studies. Diabetes. 74(3). 320–331.
7.
Chen, Tianyi, Xiaoming Yang, Huijuan Xu, et al.. (2024). Shallow wet irrigation reduces nitrogen leaching loss rate in paddy fields by microbial regulation and lowers rate of downward migration of leaching water: a 15N-tracer study. Frontiers in Plant Science. 15. 1340336–1340336. 6 indexed citations
9.
Wu, Chengzhi, Hengyu Liu, Xiaoming Yang, et al.. (2023). Mapk7 deletion in chondrocytes causes vertebral defects by reducing MEF2C/PTEN/AKT signaling. Genes & Diseases. 11(2). 964–977. 4 indexed citations
10.
Liu, Yao, et al.. (2023). Construction of a CCL20-centered circadian-signature based prognostic model in cervical cancer. Cancer Cell International. 23(1). 5 indexed citations
11.
Pang, Yuanjie, Jun Lv, Ting Wu, et al.. (2023). Associations of diabetes, circulating protein biomarkers, and risk of pancreatic cancer. British Journal of Cancer. 130(3). 504–510. 3 indexed citations
12.
Lu, Xiaoqin, Wai Kin Wong, Hui Yu, & Xiaoming Yang. (2022). Tropical Cyclone Size Identification over the Western North Pacific Using Support Vector Machine and General Regression Neural Network. Journal of the Meteorological Society of Japan Ser II. 100(6). 927–941. 10 indexed citations
13.
Ji, Jiansong, Qiaoyou Weng, Feng Zhang, et al.. (2018). Non–Small-Cell Lung Cancer: Feasibility of Intratumoral Radiofrequency Hyperthermia–enhanced Herpes Simplex Virus Thymidine Kinase Gene Therapy. Radiology. 288(2). 612–620. 13 indexed citations
14.
Shi, Yao, Feng Zhang, Jianfeng Wang, et al.. (2016). Orthotopic Esophageal Cancers: Intraesophageal Hyperthermia-enhanced Direct Chemotherapy in Rats. Radiology. 282(1). 103–112. 12 indexed citations
15.
Li, Jiakai, et al.. (2012). Development of an Intrabiliary MR Imaging-monitored Local Agent Delivery Technique: A Feasibility Study in Pigs. Radiology. 262(3). 846–852. 11 indexed citations
16.
Sun, Jihong, Xubin Li, Hongqing Feng, et al.. (2011). Magnetic Resonance Imaging of Bone Marrow Cell-Mediated Interleukin-10 Gene Therapy of Atherosclerosis. PLoS ONE. 6(9). e24529–e24529. 7 indexed citations
17.
Qiu, Bensheng, et al.. (2007). High‐resolution MRI of deep‐seated atherosclerotic arteries using motexafin gadolinium. Journal of Magnetic Resonance Imaging. 27(1). 246–250. 7 indexed citations
18.
Qiu, Bensheng, et al.. (2005). Development of a 0.014‐inch magnetic resonance imaging guidewire. Magnetic Resonance in Medicine. 53(4). 986–990. 16 indexed citations
19.
Chen, Hunter H., Xiangcan Zhan, Ananda Kumar, et al.. (2004). Detection of dual-gene expression in arteries using an optical imaging method. Journal of Biomedical Optics. 9(6). 1223–1223. 6 indexed citations
20.
Yang, Xiaoming. (2003). Imaging of Vascular Gene Therapy. Radiology. 228(1). 36–49. 21 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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