Yan Tan

4.1k total citations
102 papers, 2.9k citations indexed

About

Yan Tan is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Genetics. According to data from OpenAlex, Yan Tan has authored 102 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Radiology, Nuclear Medicine and Imaging, 25 papers in Molecular Biology and 22 papers in Genetics. Recurrent topics in Yan Tan's work include Glioma Diagnosis and Treatment (22 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and MRI in cancer diagnosis (16 papers). Yan Tan is often cited by papers focused on Glioma Diagnosis and Treatment (22 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and MRI in cancer diagnosis (16 papers). Yan Tan collaborates with scholars based in China, United States and Türkiye. Yan Tan's co-authors include Jingting Jiang, Enhua Xiao, Guoqiang Yang, Jill P. Mesirov, Lujun Chen, W. Nicholas Haining, Pablo Tamayo, Binfeng Lu, Xueguang Zhang and Jing Sun and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Yan Tan

95 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Tan China 31 1.0k 911 598 558 447 102 2.9k
Nathalie Heuzé‐Vourc'h France 31 896 0.9× 644 0.7× 692 1.2× 270 0.5× 856 1.9× 94 2.9k
Marco Prunotto Switzerland 26 1.5k 1.5× 346 0.4× 418 0.7× 462 0.8× 619 1.4× 80 3.8k
Angela Coxon United States 34 1.9k 1.9× 1.2k 1.3× 1.3k 2.1× 480 0.9× 522 1.2× 92 4.3k
Gábor Méhes Hungary 25 1.1k 1.1× 798 0.9× 247 0.4× 268 0.5× 573 1.3× 170 2.8k
Jianhua Zhou China 34 990 1.0× 557 0.6× 349 0.6× 1.0k 1.9× 720 1.6× 183 3.8k
Xiaojian Wu China 31 1.1k 1.1× 1.3k 1.5× 472 0.8× 248 0.4× 416 0.9× 121 3.1k
Reinhard von Wasielewski Germany 33 1.5k 1.5× 1.3k 1.4× 677 1.1× 238 0.4× 443 1.0× 102 3.9k
Jing Chen China 29 969 1.0× 971 1.1× 651 1.1× 105 0.2× 244 0.5× 172 3.1k
Nathan O’Connor United States 16 572 0.6× 935 1.0× 992 1.7× 277 0.5× 290 0.6× 29 3.2k
Chan-Sik Park South Korea 27 541 0.5× 726 0.8× 669 1.1× 153 0.3× 193 0.4× 136 2.4k

Countries citing papers authored by Yan Tan

Since Specialization
Citations

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

Fields of papers citing papers by Yan Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Tan. A scholar is included among the top collaborators of Yan Tan 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 Yan Tan. Yan Tan 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, Bei, Yan Tan, Josh Haipeng Lei, et al.. (2025). Alkaline Adjuvant Regulates Proteolytic Activity of Macrophages for Antigen Cross‐Presentation and Potentiates Radioimmunotherapy. Advanced Materials. 37(12). e2416690–e2416690. 4 indexed citations
2.
Zhang, Jie, Zhiyi Zhang, Xiaochun Wang, et al.. (2025). Predicting the molecular subtypes of 2021 WHO grade 4 glioma by a multiparametric MRI-based machine learning model. BMC Cancer. 25(1). 1171–1171. 1 indexed citations
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Wu, Kai, et al.. (2024). Diffusion kurtosis imaging‐based habitat analysis identifies high‐risk molecular subtypes and heterogeneity matching in diffuse gliomas. Annals of Clinical and Translational Neurology. 11(8). 2073–2087. 7 indexed citations
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Liu, Ding, Guiqiu Li, Cong Zhang, et al.. (2023). Prevalence of Multidrug-Resistant Organisms in Healthy Adults in Shenzhen, China. Health Security. 21(2). 122–129. 2 indexed citations
10.
Yang, Guoqiang, et al.. (2022). Tumor Progression and Treatment-Related Changes: Radiological Diagnosis Challenges for the Evaluation of Post Treated Glioma. Cancers. 14(15). 3771–3771. 18 indexed citations
11.
Yang, Guoqiang, et al.. (2022). Radiomics Profiling Identifies the Incremental Value of MRI Features beyond Key Molecular Biomarkers for the Risk Stratification of High‐Grade Gliomas. Contrast Media & Molecular Imaging. 2022(1). 8952357–8952357. 3 indexed citations
12.
Yang, Guoqiang, Fan Yang, Fengyan Zhang, et al.. (2022). Radiomics Profiling Identifies the Value of CT Features for the Preoperative Evaluation of Lymph Node Metastasis in Papillary Thyroid Carcinoma. Diagnostics. 12(5). 1119–1119. 7 indexed citations
13.
Tunali, Ilke, Yan Tan, Jhanelle E. Gray, et al.. (2021). Hypoxia-Related Radiomics and Immunotherapy Response: A Multicohort Study of Non-Small Cell Lung Cancer. JNCI Cancer Spectrum. 5(4). 31 indexed citations
14.
Peng, Zhi, Siyuan Cheng, Yan Kou, et al.. (2020). The Gut Microbiome Is Associated with Clinical Response to Anti–PD-1/PD-L1 Immunotherapy in Gastrointestinal Cancer. Cancer Immunology Research. 8(10). 1251–1261. 235 indexed citations
15.
Xiao, Liang, et al.. (2020). Brainstem schwannoma: A case report and review of clinical and imaging features. Iranian Journal of radiation research. 18(3). 605–610. 1 indexed citations
16.
Tan, Yan, et al.. (2019). A preliminary study on UGTs involving glycosylation of flavonoids based on transcriptome analyses of Fortunella crassifolia fruits.. Acta Horticulturae Sinica. 46(4). 664–676. 1 indexed citations
17.
Zhou, Qun, Yayun Wu, Lina Sun, et al.. (2017). Different miR‐21‐3p isoforms and their different features in colorectal cancer. International Journal of Cancer. 141(10). 2103–2111. 34 indexed citations
18.
Tan, Yan, et al.. (2016). Value of MR diffusion kurtosis imaging in brain astrocytoma grading and the correlation analysis with aquaporin 4. Zhonghua fangshexian yixue zazhi. 50(8). 566–570. 1 indexed citations
19.
Valim, Clarissa, Rushdy Ahmad, Miguel Lanaspa, et al.. (2015). Responses to Bacteria, Virus, and Malaria Distinguish the Etiology of Pediatric Clinical Pneumonia. American Journal of Respiratory and Critical Care Medicine. 193(4). 448–459. 29 indexed citations
20.
Wang, Hui, Changqing Lu, Qing Li, et al.. (2014). The Role of Kif4A in Doxorubicin-Induced Apoptosis in Breast Cancer Cells. Molecules and Cells. 37(11). 812–818. 43 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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