Lan Li

1.4k total citations
51 papers, 908 citations indexed

About

Lan Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Lan Li has authored 51 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Pulmonary and Respiratory Medicine and 8 papers in Cancer Research. Recurrent topics in Lan Li's work include Radiomics and Machine Learning in Medical Imaging (27 papers), MRI in cancer diagnosis (12 papers) and Medical Imaging Techniques and Applications (8 papers). Lan Li is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (27 papers), MRI in cancer diagnosis (12 papers) and Medical Imaging Techniques and Applications (8 papers). Lan Li collaborates with scholars based in China, United States and Germany. Lan Li's co-authors include Maryellen L. Giger, Hui Li, Yitan Zhu, Wentian Guo, Karen Drukker, Yuan Ji, Sanaz A. Jansen, Neha Bhooshan, Gillian M. Newstead and Jiuquan Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Radiology.

In The Last Decade

Lan Li

45 papers receiving 894 citations

Peers

Lan Li

RNMI

PRM

Pierre Decazes France

Andrew Miller Australia

Lise Wei United States

Andreas Kleppe Norway

Fadila Zerka Netherlands

Xiaochun Meng China

Mireia Crispin‐Ortuzar United Kingdom

Matahi Moarii France

Behnaz Abdollahi United States

Amit Rauthan India

Pierre Decazes France

Lan Li

451 ×0.7

RNMI

90 ×0.4

198 ×1.4

PRM

111 ×0.9

39 ×0.4

Citations per year, relative to Lan Li Lan Li (= 1×) peers Pierre Decazes

Countries citing papers authored by Lan Li

Since Specialization

Citations

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

Fields of papers citing papers by Lan Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lan Li

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Liu, Fei, Lan Li, Longhui Yuan, et al.. (2025). S-sulfhydration: Novel insights into the antioxidant and antiinflammation in age-related diseases. Journal of Advanced Research. 81. 915–933.

Gong, Xueqin, Xiaoxia Wang, Lu Wang, et al.. (2025). Comparing Multi–b-Value Diffusion MRI Models for Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer. Radiology. 316(1). e242969–e242969. 1 indexed citations

Wang, Xiaoxia, Yao Huang, Xiaofei Hu, et al.. (2025). Nomograms Integrating MRI-derived Apparent Diffusion Coefficient and Clinicopathologic Features for Prediction of Axillary Lymph Node Metastasis in Breast Cancer. Radiology Imaging Cancer. 7(2). e240202–e240202.

Whitney, Heather M., Hui Li, Jacques S. Abramowicz, et al.. (2025). Hybrid artificial intelligence echogenic components‐based diagnosis of adnexal masses on ultrasound. Medical Physics. 52(7). e17983–e17983.

Shi, Jinfang, et al.. (2024). Evaluation of Splenic Involvement in Lymphomas Using Extracellular Volume Fraction Computed Tomography. Journal of Computer Assisted Tomography. 49(2). 225–233.

Li, Lan, Dehui Xiang, Hailing Zhou, et al.. (2024). A literature review of artificial intelligence (AI) for medical image segmentation: from AI and explainable AI to trustworthy AI. Quantitative Imaging in Medicine and Surgery. 14(12). 9620–9652. 17 indexed citations

Sloan, Matthew, et al.. (2023). Pilot study of machine learning in the task of distinguishing high and low-grade pediatric hydronephrosis on ultrasound. Investigative and Clinical Urology. 64(6). 588–588. 9 indexed citations

Huang, Yao, Xiaofei Hu, Lan Li, et al.. (2023). Early Identification of Pathologic Complete Response to Neoadjuvant Chemotherapy Using Multiphase DCE‐MRI by Siamese Network in Breast Cancer: A Longitudinal Multicenter Study. Journal of Magnetic Resonance Imaging. 60(4). 1325–1337. 2 indexed citations

Wang, Min, et al.. (2023). Design, synthesis, and anticancer evaluation of arylurea derivatives as potent and selective type II irreversible covalent FGFR4 inhibitors. Bioorganic & Medicinal Chemistry. 87. 117298–117298. 4 indexed citations

10.

Wang, Xiaofeng, et al.. (2023). Prognostic-related genes for pancreatic cancer typing and immunotherapy response prediction based on single-cell sequencing data and bulk sequencing data. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 31(5). 697–714. 2 indexed citations

11.

Yu, Tao, Lan Li, Shilin Liu, et al.. (2022). Development and validation of a radiogenomics model to predict axillary lymph node metastasis in breast cancer integrating MRI with transcriptome data: A multicohort study. Frontiers in Oncology. 12. 1076267–1076267. 12 indexed citations

12.

Hua, Jun, Lan Li, Lisheng Liu, et al.. (2021). The diagnostic value of metabolic, morphological and heterogeneous parameters of 18F-FDG PET/CT in mediastinal lymph node metastasis of non–small cell lung cancer. Nuclear Medicine Communications. 42(11). 1247–1253. 6 indexed citations

13.

Li, Feng, Samuel G. Armato, Roger Engelmann, et al.. (2021). Anatomic Point–Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest Radiographs. Journal of Digital Imaging. 34(4). 922–931. 1 indexed citations

14.

Chen, Xuesong, Jianbo Diao, Liying Jiang, et al.. (2021). Bioanalysis in the Age of New Drug Modalities. The AAPS Journal. 23(3). 64–64. 8 indexed citations

15.

Li, Lan, et al.. (2020). Risk Genes and Nomogram Model for Lymph Node Metastasis of Colon Cancer. SHILAP Revista de lepidopterología. 1 indexed citations

16.

Li, Hui, Tanguy Y. Seiwert, Daniel J. Haraf, et al.. (2019). Prognostic value of pre-treatment CT texture analysis in combination with change in size of the primary tumor in response to induction chemotherapy for HPV-positive oropharyngeal squamous cell carcinoma. Quantitative Imaging in Medicine and Surgery. 9(3). 399–408. 14 indexed citations

17.

Li, Lan, Qisheng Zheng, Yuanpeng Zhang, et al.. (2016). Antiviral activity of recombinant porcine surfactant protein A against porcine reproductive and respiratory syndrome virus in vitro. Archives of Virology. 161(7). 1883–1890. 11 indexed citations

18.

Li, Lan, et al.. (2016). Long form leptin receptor and SNP effect on reproductive traits during embryo attachment in Suzhong sows. Animal Reproduction Science. 168. 57–65. 9 indexed citations

19.

Zhu, Yitan, Hui Li, Wentian Guo, et al.. (2015). Deciphering Genomic Underpinnings of Quantitative MRI-based Radiomic Phenotypes of Invasive Breast Carcinoma. Scientific Reports. 5(1). 17787–17787. 132 indexed citations

20.

Bhooshan, Neha, Maryellen L. Giger, Sanaz A. Jansen, et al.. (2010). Cancerous Breast Lesions on Dynamic Contrast-enhanced MR Images: Computerized Characterization for Image-based Prognostic Markers. Radiology. 254(3). 680–690. 159 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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