Xiaodan Li

4.9k total citations · 1 hit paper
92 papers, 3.6k citations indexed

About

Xiaodan Li is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Xiaodan Li has authored 92 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Surgery, 20 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Molecular Biology. Recurrent topics in Xiaodan Li's work include Glioma Diagnosis and Treatment (10 papers), MRI in cancer diagnosis (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Xiaodan Li is often cited by papers focused on Glioma Diagnosis and Treatment (10 papers), MRI in cancer diagnosis (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Xiaodan Li collaborates with scholars based in China, United States and Hong Kong. Xiaodan Li's co-authors include J. Ophir, I. Céspedes, Youseph Yazdi, H. Ponnekanti, Minmin Li, Xiang Xiao, Yuankui Wu, Xun Wu, Yikai Xu and Chong Duan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Xiaodan Li

84 papers receiving 3.5k citations

Hit Papers

Elastography: A Quantitative Method for Imaging the Elast... 1991 2026 2002 2014 1991 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaodan Li China 18 2.3k 1.9k 783 508 286 92 3.6k
Tsuyoshi Shiina Japan 30 2.7k 1.2× 2.5k 1.3× 960 1.2× 456 0.9× 371 1.3× 190 4.1k
Youseph Yazdi United States 12 2.2k 1.0× 2.0k 1.0× 796 1.0× 387 0.8× 169 0.6× 31 3.0k
J.M. Thijssen Netherlands 32 1.8k 0.8× 1.4k 0.7× 670 0.9× 236 0.5× 352 1.2× 160 3.3k
Yoshifumi Saijo Japan 25 754 0.3× 1.1k 0.6× 440 0.6× 650 1.3× 148 0.5× 214 2.4k
Po‐Hsiang Tsui Taiwan 31 1.7k 0.8× 1.5k 0.8× 439 0.6× 163 0.3× 589 2.1× 174 3.2k
Kenneth Hoyt United States 32 1.7k 0.7× 2.2k 1.1× 381 0.5× 183 0.4× 180 0.6× 178 3.1k
Ernest J. Feleppa United States 28 2.5k 1.1× 2.0k 1.0× 831 1.1× 202 0.4× 184 0.6× 135 3.5k
H. Ponnekanti United States 9 2.9k 1.3× 2.5k 1.3× 1.1k 1.4× 443 0.9× 183 0.6× 17 3.6k
Marie Müller United States 21 1.5k 0.7× 1.4k 0.7× 821 1.0× 207 0.4× 317 1.1× 88 2.7k
I. Céspedes United States 16 3.5k 1.5× 3.0k 1.5× 1.4k 1.7× 561 1.1× 192 0.7× 23 4.3k

Countries citing papers authored by Xiaodan Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaodan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaodan Li. A scholar is included among the top collaborators of Xiaodan Li 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 Xiaodan Li. Xiaodan Li 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.
Li, Xiaodan, Yiwei Yu, Jin Shang, et al.. (2025). Achieving an excellent synergy of strength and ductility in heat-treated laser powder bed fused niobium-based alloys via ZrO2-induced sub-grains. Materials Science and Engineering A. 940. 148575–148575.
2.
Zhai, Wei, Xiaodan Li, Tengfei Zhou, et al.. (2025). A machine learning-based 18F-FDG PET/CT multi-modality fusion radiomics model to predict Mediastinal-Hilar lymph node metastasis in NSCLC: a multi-centre study. Clinical Radiology. 83. 106832–106832. 1 indexed citations
3.
Li, Xiaodan, et al.. (2024). Efficacy and safety of rituximab in patients with PLA2R associated membranous nephropathy and resolved HCV infection. Scientific Reports. 14(1). 20981–20981. 1 indexed citations
4.
Li, Xiaodan, et al.. (2024). Early Enteral Nutrition Could Be Associated with Improved Survival Outcome in Cardiac Arrest. Emergency Medicine International. 2024(1). 9372015–9372015. 3 indexed citations
5.
Du, Zhicheng, Weitao Ye, Xiaodan Li, et al.. (2023). Ringlike late gadolinium enhancement provides incremental prognostic value in non-classical arrhythmogenic cardiomyopathy. Journal of Cardiovascular Magnetic Resonance. 25(1). 72–72. 8 indexed citations
7.
Li, Xiaodan, et al.. (2023). Biomimetic platelet-camouflaged drug-loaded polypyrrole for the precise targeted antithrombotic therapy. Journal of Nanobiotechnology. 21(1). 439–439. 14 indexed citations
9.
Ou, Qiong, Xiaobing Zhou, Anping Cai, et al.. (2022). Left ventricular remodeling and systolic function changes in patients with obstructive sleep apnea: a comprehensive contrast-enhanced cardiac magnetic resonance study. Cardiovascular Diagnosis and Therapy. 12(4). 436–452. 4 indexed citations
10.
Mei, Lin, Xiaodan Li, Shengcai Wang, et al.. (2021). The Impacts of Obstructive Sleep Apnea Severity on Brain White Matter Integrity and Cognitive Functions in Children: A Diffusion Tensor Imaging Study. Nature and Science of Sleep. Volume 13. 2125–2135. 5 indexed citations
11.
Li, Xiaodan, et al.. (2021). Inflow-based vascular-space-occupancy (iVASO) might potentially predict IDH mutation status and tumor grade in diffuse cerebral gliomas. Journal of Neuroradiology. 49(3). 267–274. 4 indexed citations
12.
Yao, Xiaolei, Zhibo Wang, Xiaoxiao Gao, et al.. (2020). Unconservative_15_2570409 suppresses progesterone receptor expression in the granulosa cells of Hu sheep. Theriogenology. 157. 303–313. 8 indexed citations
13.
Xiao, Xiang, et al.. (2020). The Added Value of Inflow-Based Vascular-Space-Occupancy and Diffusion-Weighted Imaging in Preoperative Grading of Gliomas. Neurodegenerative Diseases. 20(4). 123–130. 3 indexed citations
14.
Xiao, Xiang, et al.. (2018). Detecting GPC3-Expressing Hepatocellular Carcinoma with L5 Peptide-Guided Pretargeting Approach: In Vitro and In Vivo MR Imaging Experiments. Contrast Media & Molecular Imaging. 2018. 1–11. 12 indexed citations
15.
16.
Li, Xiaodan, et al.. (2016). Development of an evaluation system for excellent clinical nurses based on competency theory. ˜The œJournal of practical nursing. 32(2). 142–145.
17.
Li, Xiaodan, et al.. (2016). Evaluation of deformable image registration for contour propagation between CT and cone-beam CT images in adaptive head and neck radiotherapy. Technology and Health Care. 24(s2). S747–S755. 15 indexed citations
18.
Liu, Jiafeng, Jiaming Sun, & Xiaodan Li. (2016). Auricular reconstruction using a novel three-flap technique improves the auriculocephalic angle. Journal of Plastic Reconstructive & Aesthetic Surgery. 69(10). 1430–1435. 8 indexed citations
19.
Li, Xiaodan, et al.. (2013). Statin use is not associated with reduced risk of skin cancer: a meta-analysis. British Journal of Cancer. 110(3). 802–807. 36 indexed citations
20.
Huang, Jieping, Xiaodan Li, Ming Li, et al.. (2012). Effects of intravitreal injection of KH902, a vascular endothelial growth factor receptor decoy, on the retinas of streptozotocin‐induced diabetic rats. Diabetes Obesity and Metabolism. 14(7). 644–653. 27 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026