Shaohan Yin

459 total citations
28 papers, 237 citations indexed

About

Shaohan Yin is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Shaohan Yin has authored 28 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Pulmonary and Respiratory Medicine and 7 papers in Oncology. Recurrent topics in Shaohan Yin's work include Radiomics and Machine Learning in Medical Imaging (13 papers), MRI in cancer diagnosis (10 papers) and Lung Cancer Diagnosis and Treatment (4 papers). Shaohan Yin is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (13 papers), MRI in cancer diagnosis (10 papers) and Lung Cancer Diagnosis and Treatment (4 papers). Shaohan Yin collaborates with scholars based in China, United States and India. Shaohan Yin's co-authors include Chuanmiao Xie, Zhijun Geng, Hongming Zhu, Gill Green, Qin Liu, Yongming Dai, Yunfei Zhang, Nian Lu, Shutong Wang and Hui Li and has published in prestigious journals such as Journal of Clinical Oncology, Frontiers in Immunology and Radiotherapy and Oncology.

In The Last Decade

Shaohan Yin

24 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaohan Yin China 10 147 72 46 45 41 28 237
C. Jeong South Korea 8 100 0.7× 82 1.1× 21 0.5× 11 0.2× 29 0.7× 37 264
Yuanxiang Gao China 11 189 1.3× 51 0.7× 72 1.6× 17 0.4× 88 2.1× 23 311
Ana Jiménez-Pastor Spain 8 103 0.7× 23 0.3× 17 0.4× 5 0.1× 26 0.6× 20 174
Mu‐Hung Tsai Taiwan 7 18 0.1× 66 0.9× 96 2.1× 11 0.2× 20 0.5× 20 238
Camilla Scapicchio Italy 5 254 1.7× 70 1.0× 65 1.4× 7 0.2× 24 0.6× 9 336
Katerina Nikiforaki Greece 10 225 1.5× 51 0.7× 21 0.5× 2 0.0× 27 0.7× 39 344
Andrea M. Olofson United States 7 182 1.2× 41 0.6× 124 2.7× 3 0.1× 14 0.3× 13 324
Inger Marie Løes Norway 9 27 0.2× 68 0.9× 220 4.8× 4 0.1× 138 3.4× 12 335
Petros Kalendralis Netherlands 10 250 1.7× 102 1.4× 59 1.3× 9 0.2× 4 0.1× 22 309
Rencheng Zheng China 8 213 1.4× 56 0.8× 53 1.2× 38 0.9× 19 323

Countries citing papers authored by Shaohan Yin

Since Specialization
Citations

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

Fields of papers citing papers by Shaohan Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaohan Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Shaohan Yin. A scholar is included among the top collaborators of Shaohan Yin 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 Shaohan Yin. Shaohan Yin 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
3.
Huang, Yixing, Yanjun Wang, Shaohan Yin, et al.. (2025). Can parenchymal volume analysis replace nuclear renal scans for split renal function before and after partial nephrectomy with warm ischemia?. Urologic Oncology Seminars and Original Investigations. 43(6). 394.e1–394.e8.
5.
9.
Geng, Zhijun, Shaohan Yin, Yunfei Zhang, et al.. (2022). Discriminating rectal cancer grades using restriction spectrum imaging. Abdominal Radiology. 47(6). 2014–2022. 12 indexed citations
11.
Luo, Xiao, Hui Xie, Yadi Yang, et al.. (2022). Radiomic Signatures for Predicting Receptor Status in Breast Cancer Brain Metastases. Frontiers in Oncology. 12. 878388–878388. 8 indexed citations
13.
Zheng, Lie, Hui Xie, Xiao Luo, et al.. (2022). Radiomic Signatures for Predicting EGFR Mutation Status in Lung Cancer Brain Metastases. Frontiers in Oncology. 12. 931812–931812. 11 indexed citations
14.
Xu, Qingqing, Qingjie Li, Chenglong Huang, et al.. (2021). Prognostic Value of an Immunohistochemical Signature in Patients With Head and Neck Mucosal Melanoma. Frontiers in Immunology. 12. 708293–708293. 1 indexed citations
15.
Hu, Nan, Shaohan Yin, Qiwen Li, et al.. (2021). Evaluating Heterogeneity of Primary Lung Tumor Using Clinical Routine Magnetic Resonance Imaging and a Tumor Heterogeneity Index. Frontiers in Oncology. 10. 591485–591485. 4 indexed citations
16.
Geng, Zhijun, Yunfei Zhang, Shaohan Yin, et al.. (2020). Preoperatively Grading Rectal Cancer with the Combination of Intravoxel Incoherent Motions Imaging and Diffusion Kurtosis Imaging. Contrast Media & Molecular Imaging. 2020. 1–11. 15 indexed citations
18.
Lü, Lin, Deling Wang, Lili Wang, et al.. (2020). A quantitative imaging biomarker for predicting disease-free-survival-associated histologic subgroups in lung adenocarcinoma. European Radiology. 30(7). 3614–3623. 12 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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