Weilan Wu

516 total citations
9 papers, 387 citations indexed

About

Weilan Wu is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Weilan Wu has authored 9 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 3 papers in Molecular Biology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Weilan Wu's work include Radiomics and Machine Learning in Medical Imaging (2 papers), Lung Cancer Diagnosis and Treatment (2 papers) and Protease and Inhibitor Mechanisms (2 papers). Weilan Wu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), Lung Cancer Diagnosis and Treatment (2 papers) and Protease and Inhibitor Mechanisms (2 papers). Weilan Wu collaborates with scholars based in China. Weilan Wu's co-authors include Ming Li, Yingli Sun, Wei Zhao, Liang Jin, Yanqing Hua, Jiancheng Yang, Cheng Li, Pan Gao, Bingbing Ni and Zhiming Yang and has published in prestigious journals such as Cancer Research, Thrombosis and Haemostasis and Journal of Molecular and Cellular Cardiology.

In The Last Decade

Weilan Wu

9 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weilan Wu China 7 234 232 91 53 52 9 387
Beibei Jiang China 14 260 1.1× 378 1.6× 126 1.4× 47 0.9× 49 0.9× 33 582
Stephanie Lee‐Felker United States 12 324 1.4× 262 1.1× 61 0.7× 42 0.8× 77 1.5× 22 508
M. Lobbes Netherlands 7 204 0.9× 245 1.1× 73 0.8× 124 2.3× 60 1.2× 13 373
Junqiang Lei China 12 151 0.6× 182 0.8× 30 0.3× 58 1.1× 43 0.8× 40 392
Yubao Guan China 16 459 2.0× 412 1.8× 98 1.1× 96 1.8× 37 0.7× 49 694
Yunfeng Cui United States 13 130 0.6× 314 1.4× 102 1.1× 41 0.8× 40 0.8× 47 487
Yinhui Deng China 10 53 0.2× 174 0.8× 75 0.8× 44 0.8× 17 0.3× 19 457
Martijn P. A. Starmans Netherlands 12 168 0.7× 287 1.2× 63 0.7× 59 1.1× 18 0.3× 29 401
Giovanna Sartor Italy 10 240 1.0× 275 1.2× 74 0.8× 51 1.0× 26 0.5× 22 464
Nannan Zhao China 10 62 0.3× 220 0.9× 39 0.4× 57 1.1× 43 0.8× 18 322

Countries citing papers authored by Weilan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Weilan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weilan Wu

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

All Works

9 of 9 papers shown
1.
Sun, Yingli, Cheng Li, Liang Jin, et al.. (2020). Radiomics for lung adenocarcinoma manifesting as pure ground-glass nodules: invasive prediction. European Radiology. 30(7). 3650–3659. 98 indexed citations
2.
Lin, Qi, Ming Wang, Xiaojun Ge, et al.. (2019). Use of contrast‑enhanced computed tomographic imaging to diagnose and evaluate Beh�et's disease with vascular complications. Experimental and Therapeutic Medicine. 18(6). 4265–4272. 3 indexed citations
3.
Sun, Yili, Lintao Zhong, Xiang He, et al.. (2019). LncRNA H19 promotes vascular inflammation and abdominal aortic aneurysm formation by functioning as a competing endogenous RNA. Journal of Molecular and Cellular Cardiology. 131. 66–81. 63 indexed citations
4.
Chen, Xiaoqiang, Weilan Wu, Shifei Wang, et al.. (2019). Magnetic Targeting Improves the Therapeutic Efficacy of Microbubble-Mediated Obstructive Thrombus Sonothrombolysis. Thrombosis and Haemostasis. 119(11). 1752–1766. 11 indexed citations
5.
Zhao, Wei, Jiancheng Yang, Yingli Sun, et al.. (2018). 3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas. Cancer Research. 78(24). 6881–6889. 161 indexed citations
6.
Wu, Weilan, Ye Yuan, Ying Liu, et al.. (2016). Comparison of Magnetic Microbubbles and Dual-modified Microbubbles Targeted to P-selectin for Imaging of Acute Endothelial Inflammation in the Abdominal Aorta. Molecular Imaging and Biology. 19(2). 183–193. 14 indexed citations
7.
Wu, Weilan, Yan Wang, Shuxin Shen, et al.. (2013). In Vivo Ultrasound Molecular Imaging of Inflammatory Thrombosis in Arteries With Cyclic Arg-Gly-Asp–Modified Microbubbles Targeted to Glycoprotein IIb/IIIa. Investigative Radiology. 48(11). 803–812. 30 indexed citations
8.
Chen, Dongdong, Yulin Liao, Qiulin Xu, et al.. (2012). Persistence of systolic and diastolic regional dysfunction after brief episodes of myocardial ischemia evaluated with velocity vector imaging. International Journal of Cardiology. 167(3). 987–994. 6 indexed citations
9.
Liu, Jian, Ying Liu, Meiyu Li, et al.. (2011). [Effects of high and low shear stress on vascular remodeling and endothelial vascular cell adhesion molecular-1 expression in mouse abdominal aorta].. PubMed. 31(8). 1349–52. 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.

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Breakdown of academic impact, for papers by Beibei Jiang Breakdown of academic impact, for papers by Stephanie Lee‐Felker Breakdown of academic impact, for papers by M. Lobbes Breakdown of academic impact, for papers by Junqiang Lei Breakdown of academic impact, for papers by Yubao Guan Breakdown of academic impact, for papers by Yunfeng Cui Breakdown of academic impact, for papers by Yinhui Deng Breakdown of academic impact, for papers by Martijn P. A. Starmans Breakdown of academic impact, for papers by Giovanna Sartor Breakdown of academic impact, for papers by Nannan Zhao
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