Lei Tang

1.6k total citations
43 papers, 1.2k citations indexed

About

Lei Tang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Gastroenterology. According to data from OpenAlex, Lei Tang has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Pulmonary and Respiratory Medicine and 7 papers in Gastroenterology. Recurrent topics in Lei Tang's work include Radiomics and Machine Learning in Medical Imaging (22 papers), MRI in cancer diagnosis (20 papers) and Gastric Cancer Management and Outcomes (15 papers). Lei Tang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (22 papers), MRI in cancer diagnosis (20 papers) and Gastric Cancer Management and Outcomes (15 papers). Lei Tang collaborates with scholars based in China, Ethiopia and United States. Lei Tang's co-authors include Ying‐Shi Sun, Xiaohong Joe Zhou, Yong Cui, Xiaopeng Zhang, Lin Shen, Jiafu Ji, Xiao‐Peng Zhang, Xiao Yan Zhang, Jin Gu and Yong Cai and has published in prestigious journals such as Advanced Materials, Oncogene and Scientific Reports.

In The Last Decade

Lei Tang

40 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lei Tang China 15 915 246 239 162 102 43 1.2k
Angela M. Riddell United Kingdom 19 481 0.5× 167 0.7× 255 1.1× 250 1.5× 135 1.3× 50 1.0k
Zhouyang Lian China 14 780 0.9× 148 0.6× 242 1.0× 123 0.8× 40 0.4× 37 1.1k
Jianjun Liu China 18 510 0.6× 317 1.3× 313 1.3× 162 1.0× 42 0.4× 68 1.0k
Çiğdem Soydal Türkiye 16 305 0.3× 240 1.0× 293 1.2× 197 1.2× 154 1.5× 98 730
Bo Yun Hur South Korea 20 591 0.6× 422 1.7× 176 0.7× 330 2.0× 276 2.7× 41 1.0k
Annick Van den Abbeele United States 7 448 0.5× 88 0.4× 337 1.4× 104 0.6× 24 0.2× 11 741
John Cuaron United States 17 323 0.4× 337 1.4× 444 1.9× 157 1.0× 28 0.3× 67 1.0k
Hailiang Li China 10 697 0.8× 170 0.7× 254 1.1× 133 0.8× 17 0.2× 31 819
Janio Szklaruk United States 14 321 0.4× 200 0.8× 285 1.2× 245 1.5× 526 5.2× 34 1.1k

Countries citing papers authored by Lei Tang

Since Specialization
Citations

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

Fields of papers citing papers by Lei Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Tang. A scholar is included among the top collaborators of Lei Tang 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 Lei Tang. Lei Tang 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.
Zhang, Guimei, Lei Tang, Yongkang Ou, et al.. (2025). Association Between Obstructive Sleep Apnea and Regional Fat: A Cross-Sectional Analysis of National Health and Nutrition Examination Survey 2015–2018. Metabolic Syndrome and Related Disorders. 23(6). 297–304.
2.
3.
Ji, Yang, Lei Tang, Xiaoxin Mu, et al.. (2025). O-GlcNAcylation of YBX1 drives a glycolysis-histone lactylation feedback loop in hepatocellular carcinoma. Cancer Letters. 631. 217957–217957. 1 indexed citations
4.
Song, Yuqin, Jing Luo, Yuhang Wu, et al.. (2025). The impact of only-child status on adolescent mental health: a multi-center cross-sectional study using propensity score matching in Western China. BMC Public Health. 25(1). 2140–2140. 2 indexed citations
5.
Hou, Xin, Yuhang Wu, Jing Luo, et al.. (2025). Clustering analysis of risk factors for non-suicidal self-injury behaviors in adolescents: a cross-sectional study of western China. Frontiers in Psychiatry. 16. 1436868–1436868.
6.
Chen, Beijing, Zhongyuan Wang, Qi Chen, et al.. (2024). Discovery of pyridine-based derivatives as FLT3 inhibitors for the treatment of acute myeloid leukemia. European Journal of Medicinal Chemistry. 283. 117173–117173. 3 indexed citations
7.
Chen, Zifan, Yang Chen, Yu Sun, et al.. (2024). Predicting gastric cancer response to anti-HER2 therapy or anti-HER2 combined immunotherapy based on multi-modal data. Signal Transduction and Targeted Therapy. 9(1). 222–222. 37 indexed citations
8.
Li, Jiazheng, Hui Zhu, Chunhui Shou, et al.. (2023). CT features combined with RECIST 1.1 criteria improve progression assessments of sunitinib-treated gastrointestinal stromal tumors. European Radiology. 34(6). 3659–3670. 1 indexed citations
9.
Wang, Xu, Gaofeng Zhu, Guo‐Bo Xu, et al.. (2022). Evaluation of the antimicrobial function of Ginkgo biloba exocarp extract against clinical bacteria and its effect on Staphylococcus haemolyticus by disrupting biofilms. Journal of Ethnopharmacology. 298. 115602–115602. 11 indexed citations
10.
Karaman, Muge, Lei Tang, Ziyu Li, et al.. (2021). In vivo assessment of Lauren classification for gastric adenocarcinoma using diffusion MRI with a fractional order calculus model. European Radiology. 31(8). 5659–5668. 14 indexed citations
11.
Tang, Lei, Xuejuan Wang, Hideo Baba, & Francesco Giganti. (2019). Gastric cancer and image-derived quantitative parameters: Part 2—a critical review of DCE-MRI and 18F-FDG PET/CT findings. European Radiology. 30(1). 247–260. 36 indexed citations
12.
Tang, Lei, Jian Li, Ziyu Li, et al.. (2018). MRI in predicting the response of gastrointestinal stromal tumor to targeted therapy: a patient-based multi-parameter study. BMC Cancer. 18(1). 811–811. 12 indexed citations
13.
Tang, Lei, Ying‐Shi Sun, Ziyu Li, et al.. (2015). Diffusion-weighted magnetic resonance imaging in the depiction of gastric cancer: initial experience. Abdominal Radiology. 41(1). 2–9. 10 indexed citations
14.
15.
Zhang, Xiaoyan, et al.. (2011). Correlation of diffusion‐weighted imaging data with apoptotic and proliferation indexes in CT26 colorectal tumor homografts in balb/c mouse. Journal of Magnetic Resonance Imaging. 33(5). 1171–1176. 22 indexed citations
16.
Tang, Lei, Xiao Peng Zhang, Ying‐Shi Sun, et al.. (2010). Gastrointestinal Stromal Tumors Treated with Imatinib Mesylate: Apparent Diffusion Coefficient in the Evaluation of Therapy Response in Patients. Radiology. 258(3). 729–738. 42 indexed citations
17.
Cui, Yong, Xiaopeng Zhang, Ying‐Shi Sun, Lei Tang, & Lin Shen. (2008). Apparent Diffusion Coefficient: Potential Imaging Biomarker for Prediction and Early Detection of Response to Chemotherapy in Hepatic Metastases. Radiology. 248(3). 894–900. 294 indexed citations
18.
Zhang, Xiao Peng, et al.. (2008). Using diffusion-weighted MR imaging for tumor detection in the collapsed lung: a preliminary study. European Radiology. 19(2). 333–341. 47 indexed citations
19.
Tang, Lei. (2007). Dynamic contrast-enhanced MRI in breast cancer treated with neoadjuvant chemotherapy:correlation with pathological response. Zhonghua fangshexian yixue zazhi. 1 indexed citations
20.
Tang, Lei. (2005). Diffusion-weighted MR imaging of rectal cancer:determination of b values and evaluation of displaying ability. Zhongguo yixue yingxiang jishu. 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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