Ye Dong

404 total citations
15 papers, 287 citations indexed

About

Ye Dong is a scholar working on Oncology, Surgery and Molecular Biology. According to data from OpenAlex, Ye Dong has authored 15 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 3 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Ye Dong's work include Nanoparticle-Based Drug Delivery (3 papers), Peptidase Inhibition and Analysis (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Ye Dong is often cited by papers focused on Nanoparticle-Based Drug Delivery (3 papers), Peptidase Inhibition and Analysis (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Ye Dong collaborates with scholars based in China, Ireland and Czechia. Ye Dong's co-authors include Christoffer Åberg, Kenneth A. Dawson, Mattia Bramini, Anna Salvati, Hubing Wu, Ying Tian, Wenlan Zhou, Quanshi Wang, Lijuan Wang and Delyan R. Hristov and has published in prestigious journals such as ACS Nano, BioMed Research International and The Analyst.

In The Last Decade

Ye Dong

14 papers receiving 285 citations

Peers

Ye Dong

BIOMA

ONCOL

Duaa Abuarqoub Jordan

Mengying Hou China

Eugene P. Chung United States

Qiuyue Ren China

Yiting Zhao China

Haoyuan Yin China

Amy P. Chiu Canada

Eun-Joo Park South Korea

Pallavi R. Gangalum United States

Chenhui Cai China

Duaa Abuarqoub Jordan

Ye Dong

104 ×1.1

BIOMA

163 ×2.0

90 ×1.4

38 ×0.6

57 ×1.0

ONCOL

Citations per year, relative to Ye Dong Ye Dong (= 1×) peers Duaa Abuarqoub

Countries citing papers authored by Ye Dong

Since Specialization

Citations

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

Fields of papers citing papers by Ye Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Ye Dong. A scholar is included among the top collaborators of Ye Dong 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 Ye Dong. Ye Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Zhu, Yun, Yanjiang Han, Meng Wang, et al.. (2025). Development and Evaluation of Peptide-Based [ ¹⁸ F]AlF-WT12 and [ ¹⁸ F]AlF-IPB-WT12 Radiotracers for Noninvasive PD-L1 Imaging in Tumor Models. Molecular Pharmaceutics. 22(12). 7500–7512.

Xie, Fei, Ye Dong, Kemin Zhou, et al.. (2025). First clinical investigation to predict lymphovascular and/or perineural invasion in gastric cancer using 18F-FAPI-42 PET/CT parameters. European Journal of Nuclear Medicine and Molecular Imaging. 52(13). 4778–4787. 1 indexed citations

Yang, Weihao, Heng‐Yi Zhang, Fengping Li, et al.. (2025). Imaging Characteristics and Clinical Outcomes in Gastric Cancer with Brain Metastasis: A Propensity Score-Matched Study. Journal of Gastrointestinal Cancer. 56(1). 157–157. 1 indexed citations

Huang, Jianfeng, et al.. (2025). Application of artificial intelligence in medical imaging for tumor diagnosis and treatment: a comprehensive approach. Discover Oncology. 16(1). 1625–1625. 3 indexed citations

Chen, Hao, Yi Chen, Ye Dong, et al.. (2024). ASO Visual Abstract: 18F-FDG PET/CT Radiomics-Based Multimodality Fusion Model for Preoperative Individualized Noninvasive Prediction of Peritoneal Metastasis in Advanced Gastric Cancer. Annals of Surgical Oncology. 1 indexed citations

Dong, Ye, Shun Huang, Hubing Wu, et al.. (2024). Superiority of 18F-FAPI-42 PET/CT in the detection of primary tumor and management of appendiceal neoplasm to 18F-FDG PET/CT and CE-CT. Cancer Imaging. 24(1). 58–58. 5 indexed citations

Zhang, Xiaojun, Shun Huang, Ye Dong, et al.. (2023). Noninvasive imaging of FAP expression using positron emission tomography: A comparative evaluation of a [18F]-labeled glycopeptide-containing FAPI with [18F]FAPI-42. European Journal of Nuclear Medicine and Molecular Imaging. 50(11). 3363–3374. 24 indexed citations

Dong, Ye, et al.. (2023). A rare case of intravenous leiomyomatosis extending along the right ovarian vein, right internal iliac, and inferior vena cava to the right atrium observed by [18F]F-FAPI PET/CT. European Journal of Nuclear Medicine and Molecular Imaging. 51(4). 1197–1198. 1 indexed citations

Gu, Jiamei, Wenlan Zhou, Lijuan Wang, et al.. (2020). Benefits of 18F-FDG PET/CT for the preoperative characterisation or staging of disease in the ampullary and duodenal papillary. European Radiology. 30(9). 5089–5098. 7 indexed citations

10.

Dong, Ye, Mattia Bramini, Delyan R. Hristov, et al.. (2017). Low uptake of silica nanoparticles in Caco-2 intestinal epithelial barriers. Beilstein Journal of Nanotechnology. 8. 1396–1406. 25 indexed citations

11.

Shen, Zhisen, Chongchang Zhou, Jinyun Li, et al.. (2017). SHISA3Promoter Methylation Is a Potential Diagnostic and Prognostic Biomarker for Laryngeal Squamous Cell Carcinoma. BioMed Research International. 2017. 1–8. 13 indexed citations

12.

Chen, Min, Wanqing Li, Xun Zhang, et al.. (2017). In vitro and in vivo evaluation of SN-38 nanocrystals with different particle sizes. International Journal of Nanomedicine. Volume 12. 5487–5500. 23 indexed citations

13.

Zhou, Wenlan, Hubing Wu, Lijuan Wang, et al.. (2015). Usefulness and pitfalls of F-18-FDG PET/CT for diagnosing extramedullary acute leukemia. European Journal of Radiology. 85(1). 205–210. 40 indexed citations

14.

Bramini, Mattia, et al.. (2014). Imaging Approach to Mechanistic Study of Nanoparticle Interactions with the Blood–Brain Barrier. ACS Nano. 8(5). 4304–4312. 110 indexed citations

15.

Bramini, Mattia, Ye Dong, Pierre‐Olivier Couraud, et al.. (2013). Paracrine signalling of inflammatory cytokines from an in vitro blood brain barrier model upon exposure to polymeric nanoparticles. The Analyst. 139(5). 923–930. 33 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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