Amei Chen

750 total citations
20 papers, 366 citations indexed

About

Amei Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Neurology. According to data from OpenAlex, Amei Chen has authored 20 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Molecular Biology and 5 papers in Neurology. Recurrent topics in Amei Chen's work include Parkinson's Disease Mechanisms and Treatments (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Functional Brain Connectivity Studies (3 papers). Amei Chen is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Functional Brain Connectivity Studies (3 papers). Amei Chen collaborates with scholars based in China, United States and Hong Kong. Amei Chen's co-authors include Xinhua Wei, Ruimeng Yang, Yuting Liao, Chongzhe Yang, Chunling Zhao, Liyan Xue, Zhen Huang, Yongmei Song, Ning Lü and Zhihua Yang and has published in prestigious journals such as PLoS ONE, The FASEB Journal and Neuroscience.

In The Last Decade

Amei Chen

17 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amei Chen China 10 100 94 72 68 58 20 366
Feifei Fan China 8 54 0.5× 132 1.4× 45 0.6× 41 0.6× 20 0.3× 13 338
Maria Luisa De Rimini Italy 11 102 1.0× 134 1.4× 28 0.4× 66 1.0× 53 0.9× 28 433
Ping Han China 14 87 0.9× 143 1.5× 127 1.8× 68 1.0× 104 1.8× 61 635
Dirk Frechen Germany 12 79 0.8× 148 1.6× 29 0.4× 104 1.5× 50 0.9× 21 653
Pooja Pradhan United States 11 134 1.3× 134 1.4× 44 0.6× 214 3.1× 44 0.8× 21 615
Roberta Eufrasia Ledda Italy 11 195 1.9× 36 0.4× 59 0.8× 157 2.3× 36 0.6× 51 433
Xing Xue China 10 216 2.2× 40 0.4× 60 0.8× 116 1.7× 57 1.0× 13 421
Samuel F. Passi United States 8 85 0.8× 158 1.7× 19 0.3× 43 0.6× 32 0.6× 12 538
Xiong Xiao China 12 111 1.1× 97 1.0× 68 0.9× 81 1.2× 47 0.8× 40 580
Zhiyong Li China 10 130 1.3× 63 0.7× 113 1.6× 98 1.4× 38 0.7× 35 400

Countries citing papers authored by Amei Chen

Since Specialization
Citations

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

Fields of papers citing papers by Amei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amei Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Amei Chen. A scholar is included among the top collaborators of Amei Chen 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 Amei Chen. Amei Chen 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.
Chen, Amei, et al.. (2025). Cross-modal fusion of brain imaging and clinical data for Parkinson’s disease progression prediction. PLoS ONE. 20(11). e0333822–e0333822.
2.
3.
Khan, Asad, et al.. (2024). High-Quality Fusion and Visualization for MR-PET Brain Tumor Images via Multi-Dimensional Features. IEEE Transactions on Image Processing. 33. 3550–3563. 6 indexed citations
4.
Yang, Fan, Tianyi Liu, Amei Chen, et al.. (2024). Loss of LRP1 Promotes Hepatocellular Carcinoma Progression via UFL1‐Mediated Activation of NF‐κB Signaling. Advanced Science. 11(45). e2401672–e2401672.
5.
Liang, Dan, Hui Zhou, Hong Zhou, et al.. (2023). Development and Validation of a Deep Learning and Radiomics Combined Model for Differentiating Complicated From Uncomplicated Acute Appendicitis. Academic Radiology. 31(4). 1344–1354. 14 indexed citations
6.
Cheng, Xiaofang, Jiangshan Chen, Xiaofei Zhang, et al.. (2023). Characterizing the temporal dynamics of intrinsic brain activities in depressed adolescents with prior suicide attempts. European Child & Adolescent Psychiatry. 33(4). 1179–1191. 7 indexed citations
7.
Huang, Xiaofei, et al.. (2023). Structural connectivity from DTI to predict mild cognitive impairment in de novo Parkinson’s disease. NeuroImage Clinical. 41. 103548–103548. 9 indexed citations
8.
Chen, Amei, Xiuhang Ruan, Xiaofang Cheng, et al.. (2022). Disrupted Brain Structural Network Connection in de novo Parkinson's Disease With Rapid Eye Movement Sleep Behavior Disorder. Frontiers in Human Neuroscience. 16. 902614–902614. 4 indexed citations
9.
Huang, Xiaofei, Xiuhang Ruan, Dingna Duan, et al.. (2022). Baseline cerebral structural morphology predict freezing of gait in early drug-naïve Parkinson’s disease. npj Parkinson s Disease. 8(1). 176–176. 8 indexed citations
10.
Chen, Dandan, Wenjian Mo, Weifeng Liu, et al.. (2022). Prognostic Impact of Quantifying Sarcopenia and Adipopenia by Chest CT in Severe Aplastic Anemia Patients Treated With Allogeneic Hematopoietic Stem Cell Transplantation. Academic Radiology. 30(9). 1936–1945. 2 indexed citations
11.
Huang, Yan, Feng Liu, Amei Chen, et al.. (2021). Type 2 diabetes prevention diet and the risk of pancreatic cancer: A large prospective multicenter study. Clinical Nutrition. 40(11). 5595–5604. 22 indexed citations
12.
Zhang, Wanli, Ruimeng Yang, Guoshun Liu, et al.. (2021). Prediction of Microvascular Invasion in Hepatocellular Carcinoma With a Multi-Disciplinary Team-Like Radiomics Fusion Model on Dynamic Contrast-Enhanced Computed Tomography. Frontiers in Oncology. 11. 660629–660629. 21 indexed citations
13.
14.
Chen, Amei, et al.. (2020). Differences in Clinical and Imaging Presentation of Pediatric Patients with COVID-19 in Comparison with Adults. Radiology Cardiothoracic Imaging. 2(2). e200117–e200117. 84 indexed citations
15.
Li, Danyang, Amei Chen, Ming Tan, et al.. (2018). SCAP knockdown in vascular smooth muscle cells alleviates atherosclerosis plaque formation via up‐regulating autophagy in ApoE −/− mice. The FASEB Journal. 33(3). 3437–3450. 27 indexed citations
16.
17.
Yang, Ruimeng, Long Li, Xinhua Wei, et al.. (2013). Differentiation of Central Lung Cancer from Atelectasis: Comparison of Diffusion-Weighted MRI with PET/CT. PLoS ONE. 8(4). e60279–e60279. 37 indexed citations
18.
Wu, Shikui, Chaojun Chen, Xiaoping Shen, et al.. (2013). One-pot synthesis, formation mechanism and near-infrared fluorescent properties of hollow and porous α-mercury sulfide. CrystEngComm. 15(20). 4162–4162. 8 indexed citations
19.
Song, Yongmei, Chunling Zhao, Lijia Dong, et al.. (2007). Overexpression of cyclin B1 in human esophageal squamous cell carcinoma cells induces tumor cell invasive growth and metastasis. Carcinogenesis. 29(2). 307–315. 83 indexed citations
20.
Chen, Amei, et al.. (2007). [Polymorphism of killer cell immunoglobulin-like receptor gene and its correlation with leukemia].. PubMed. 15(1). 35–8. 3 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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