Bo Yin

2.3k total citations · 1 hit paper
88 papers, 1.7k citations indexed

About

Bo Yin is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Biomedical Engineering. According to data from OpenAlex, Bo Yin has authored 88 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Epidemiology and 18 papers in Biomedical Engineering. Recurrent topics in Bo Yin's work include Nanoplatforms for cancer theranostics (16 papers), Glioma Diagnosis and Treatment (15 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). Bo Yin is often cited by papers focused on Nanoplatforms for cancer theranostics (16 papers), Glioma Diagnosis and Treatment (15 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). Bo Yin collaborates with scholars based in China, United Kingdom and Australia. Bo Yin's co-authors include Yiping Lu, Xuanxuan Li, Nan Mei, Dongdong Wang, Daoying Geng, Daoying Geng, Anling Xiao, Yajing Zhao, Pu‐Yeh Wu and Tianye Jia and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Bo Yin

83 papers receiving 1.7k citations

Hit Papers

Cerebral Micro-Structural... 2020 2026 2022 2024 2020 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Cerebral Micro-Structural Changes in COVID-19 Patients – An MRI-based 3-month Follow-up Study
    2020 417 citations Yiping Lu, Xuanxuan Li et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bo Yin China 22 512 422 334 234 220 88 1.7k
Yiping Lu China 18 487 1.0× 204 0.5× 318 1.0× 451 1.9× 234 1.1× 76 1.7k
Niloufar Sadeghi Belgium 19 487 1.0× 136 0.3× 398 1.2× 327 1.4× 99 0.5× 69 1.5k
Mathias Mäurer Germany 31 745 1.5× 289 0.7× 310 0.9× 439 1.9× 168 0.8× 76 2.9k
Olav Mella Norway 25 520 1.0× 700 1.7× 357 1.1× 439 1.9× 67 0.3× 84 2.6k
Seung Min Kim South Korea 26 589 1.2× 94 0.2× 244 0.7× 539 2.3× 342 1.6× 170 2.2k
Carla Tortorella Italy 32 769 1.5× 119 0.3× 382 1.1× 615 2.6× 198 0.9× 107 2.9k
Young‐Hoon Kim South Korea 28 423 0.8× 136 0.3× 465 1.4× 258 1.1× 681 3.1× 193 3.0k
Oliver Grauer Germany 31 421 0.8× 470 1.1× 187 0.6× 636 2.7× 369 1.7× 78 3.5k
Ralf‐Ingo Ernestus Germany 30 926 1.8× 142 0.3× 400 1.2× 509 2.2× 397 1.8× 145 2.8k
Tetsuya Yamamoto Japan 22 171 0.3× 95 0.2× 872 2.6× 217 0.9× 140 0.6× 145 2.1k

Countries citing papers authored by Bo Yin

Since Specialization
Citations

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

Fields of papers citing papers by Bo Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Bo Yin. A scholar is included among the top collaborators of Bo 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 Bo Yin. Bo 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
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Deng, Yalan, Yiping Lu, Xuanxuan Li, et al.. (2024). Prediction of human epidermal growth factor receptor 2 (HER2) status in breast cancer by mammographic radiomics features and clinical characteristics: a multicenter study. European Radiology. 34(8). 5464–5476. 8 indexed citations
5.
Chen, Jie, Nan Mei, Xuanxuan Li, et al.. (2024). Assessment of hypoxia and its dynamic evolution in glioblastoma via qBOLD MRI: a comparative study with metformin treatment. European Radiology Experimental. 8(1). 134–134. 1 indexed citations
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Lu, Yingying, et al.. (2024). Discovery of a novel Fam20C inhibitor for treatment of triple-negative breast cancer. International Journal of Biological Macromolecules. 286. 138398–138398. 1 indexed citations
7.
Wu, Tianze, Mengmeng Zhang, Dan Luo, et al.. (2023). Reticular Chemistry of the Fcu‐Type Gd(III)‐Doped Metal–Organic Framework for T1‐Weighted Magnetic Resonance Imaging. Small. 19(48). e2303063–e2303063. 8 indexed citations
8.
Zhao, Yajing, Yiping Lu, Peng Li, et al.. (2023). Meningioma consistency assessment based on the fusion of deep learning features and radiomics features. European Journal of Radiology. 170. 111250–111250. 7 indexed citations
9.
Han, Qiu-Yue, Yiping Lu, Dongdong Wang, et al.. (2022). Assessment of dynamic hepatic and renal imaging changes in COVID-19 survivors using T1 mapping and IVIM-DWI. Abdominal Radiology. 47(5). 1817–1827. 3 indexed citations
10.
Liu, Yao, Yiping Lu, Bo Ning, et al.. (2022). Intravenous Delivery of Living Listeria monocytogenes Elicits Gasdmermin-Dependent Tumor Pyroptosis and Motivates Anti-Tumor Immune Response. ACS Nano. 16(3). 4102–4115. 99 indexed citations
11.
Yang, Xuguang, Jie Chen, Shuai Ma, et al.. (2022). Very-low-density lipoprotein receptor-enhanced lipid metabolism in pancreatic stellate cells promotes pancreatic fibrosis. Immunity. 55(7). 1185–1199.e8. 45 indexed citations
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Kuai, Xinping, Yuefei Zhu, Shengyu Wang, et al.. (2021). Perfluorooctyl bromide nanoemulsions holding MnO2 nanoparticles with dual-modality imaging and glutathione depletion enhanced HIFU-eliciting tumor immunogenic cell death. Acta Pharmaceutica Sinica B. 12(2). 967–981. 35 indexed citations
13.
Zhao, Jidi, Huajie Jin, Xun Li, et al.. (2021). Disease Burden Attributable to the First Wave of COVID-19 in China and the Effect of Timing on the Cost-Effectiveness of Movement Restriction Policies. Value in Health. 24(5). 615–624. 41 indexed citations
14.
Chen, Sunhui, Dongdong Wang, Dejun She, et al.. (2021). Long acting carmustine loaded natural extracellular matrix hydrogel for inhibition of glioblastoma recurrence after tumor resection. Frontiers of Chemical Science and Engineering. 16(4). 536–545. 18 indexed citations
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Sun, Haitao, Siyu Chen, Ruizhi Wang, et al.. (2020). Near-infrared photothermal liposomal nanoantagonists for amplified cancer photodynamic therapy. Journal of Materials Chemistry B. 8(32). 7149–7159. 31 indexed citations
16.
Zheng, Yingyan, Anling Xiao, Xiangrong Yu, et al.. (2020). Development and Validation of a Prognostic Nomogram Based on Clinical and CT Features for Adverse Outcome Prediction in Patients with COVID-19. Korean Journal of Radiology. 21(8). 1007–1007. 20 indexed citations
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She, Dejun, Yiping Lu, Ji Xiong, Daoying Geng, & Bo Yin. (2019). MR imaging features of spinal pilocytic astrocytoma. BMC Medical Imaging. 19(1). 5–5. 17 indexed citations
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Zhang, Mo, et al.. (2015). [Transrectal shear wave elastography combined with transition zone biopsy for detecting prostate cancer].. PubMed. 21(7). 610–4. 15 indexed citations
20.
Yin, Bo, et al.. (2012). Correlating apparent diffusion coefficients with histopathologic findings on meningiomas. European Journal of Radiology. 81(12). 4050–4056. 42 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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