Baolan Lu

506 total citations
21 papers, 223 citations indexed

About

Baolan Lu is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Surgery. According to data from OpenAlex, Baolan Lu has authored 21 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Oncology and 6 papers in Surgery. Recurrent topics in Baolan Lu's work include Radiomics and Machine Learning in Medical Imaging (12 papers), Colorectal Cancer Surgical Treatments (10 papers) and MRI in cancer diagnosis (9 papers). Baolan Lu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), Colorectal Cancer Surgical Treatments (10 papers) and MRI in cancer diagnosis (9 papers). Baolan Lu collaborates with scholars based in China, United States and Ireland. Baolan Lu's co-authors include Xinyue Yang, Xiaojuan Xiao, Yiyan Liu, Yan Chen, Bingqi Shen, Shi‐Ting Feng, Yan Chen, Xuehua Li, Shaohong Li and Li Huang and has published in prestigious journals such as American Journal of Roentgenology, Biomedicine & Pharmacotherapy and BMC Cancer.

In The Last Decade

Baolan Lu

19 papers receiving 220 citations

Peers

Baolan Lu
Florian N. Loch Germany
Jacob P. Hoogendam Netherlands
Tania Saibene Italy
Glen Lo Australia
Enis Öztürk Türkiye
Giovanni Savarese Italy
Mark A. Ziegler United States
Soomin Ahn South Korea
Juan D. Arias Colombia
Florian N. Loch Germany
Baolan Lu
Citations per year, relative to Baolan Lu Baolan Lu (= 1×) peers Florian N. Loch

Countries citing papers authored by Baolan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Baolan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baolan Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Baolan Lu. A scholar is included among the top collaborators of Baolan Lu 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 Baolan Lu. Baolan Lu 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.
Huang, Li, Shi‐Ting Feng, Xinyue Wang, et al.. (2025). A comprehensive dataset of magnetic resonance enterography images with intestinal segment annotations. Scientific Data. 12(1). 425–425.
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Lu, Baolan, et al.. (2024). Higher perfusion of rectum carcinoma relative to tumor-free rectal wall: quantification by a new imaging biomarker diffusion-derived vessel density (DDVD). Quantitative Imaging in Medicine and Surgery. 14(5). 3264–3274. 7 indexed citations
4.
Chen, Yan, et al.. (2023). Role of dynamic contrast-enhanced MRI in predicting severe acute radiation-induced rectal injury in patients with rectal cancer. European Radiology. 34(3). 1471–1480. 2 indexed citations
5.
Chen, Yan, et al.. (2023). MRI-detected tumor deposits in cT3 and cT4 rectal cancer following neoadjuvant chemoradiotherapy. European Radiology. 34(5). 2963–2973. 3 indexed citations
6.
Qiu, Yun, Baolan Lu, Xiaoqing Lin, et al.. (2023). Validation of disease severity index for predicting complicated disease in Crohn's disease: A comparison study with Lémann index. Digestive and Liver Disease. 56(4). 635–640.
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Li, Zhoulei, Baolan Lu, Shaofu He, et al.. (2021). A Type I Collagen-Targeted MR Imaging Probe for Staging Fibrosis in Crohn’s Disease. Frontiers in Molecular Biosciences. 8. 762355–762355. 9 indexed citations
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Chen, Yan, et al.. (2020). Value of High-resolution MRI in Detecting Lymph Node Calcifications in Patients with Rectal Cancer. Academic Radiology. 27(12). 1709–1717. 9 indexed citations
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Liu, Yiyan, et al.. (2019). Lymph node metastasis in rectal cancer: comparison of MDCT and MR imaging for diagnostic accuracy. Abdominal Radiology. 44(11). 3625–3631. 7 indexed citations
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Zhang, Peirong, et al.. (2018). MicroRNA-873 acts as a tumor suppressor in esophageal cancer by inhibiting differentiated embryonic chondrocyte expressed gene 2. Biomedicine & Pharmacotherapy. 105. 582–589. 21 indexed citations
16.
Lu, Baolan, et al.. (2018). Intravoxel Incoherent Motion Diffusion-Weighted Imaging of Primary Rectal Carcinoma: Correlation with Histopathology. Medical Science Monitor. 24. 2429–2436. 19 indexed citations
17.
Chen, Yan, et al.. (2018). [Diagnostic accuracy of 3.0T high-resolution MRI for assessment mesorectal lymph node metastases in patients with rectal cancer].. PubMed. 21(7). 786–792. 2 indexed citations
18.
Yang, Xinyue, et al.. (2018). Role of Quantitative Dynamic Contrast-Enhanced MRI in Evaluating Regional Lymph Nodes With a Short-Axis Diameter of Less Than 5 mm in Rectal Cancer. American Journal of Roentgenology. 212(1). 77–83. 19 indexed citations
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Wang, Ying, et al.. (2015). Diagnostic Value of Gd-EOB-DTPA in Hepatic Focal Nodular Hyperplasia. Journal of Sun Yat-sen University. 36(2). 269. 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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2026