Meiping Shen

1.0k total citations · 1 hit paper
39 papers, 752 citations indexed

About

Meiping Shen is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Meiping Shen has authored 39 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 12 papers in Molecular Biology and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Meiping Shen's work include Thyroid Cancer Diagnosis and Treatment (13 papers), Advanced X-ray and CT Imaging (7 papers) and Thyroid and Parathyroid Surgery (6 papers). Meiping Shen is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (13 papers), Advanced X-ray and CT Imaging (7 papers) and Thyroid and Parathyroid Surgery (6 papers). Meiping Shen collaborates with scholars based in China, United States and France. Meiping Shen's co-authors include Yan Si, Guo‐Yi Su, Yan Zhou, Xiao‐Quan Xu, Xi Zhuang, Hao Zhang, Tianlin Wang, Qing Zhou, Luyao Wu and Yu Ding and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Meiping Shen

37 papers receiving 743 citations

Hit Papers

Nebulized exosomes derived from allogenic adipose tissue ... 2022 2026 2023 2024 2022 40 80 120
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. Nebulized exosomes derived from allogenic adipose tissue mesenchymal stromal cells in patients with severe COVID-19: a pilot study
    2022 131 citations Chengxiang Dai, Meiping Shen et al. Stem Cell Research & Therapy profile →

Peers

Meiping Shen
Anna Pecorelli Italy
Lucas Van Aelst Belgium
Federica Vianello Italy
Seok‐Soo Byun South Korea
Victor Srougi Brazil
Hang Zhou China
Min Sung Chung South Korea
Eun‐Jung Jung South Korea
Marc Ulrich Becher Germany
Patrizia Pacini Italy
Anna Pecorelli Italy
Meiping Shen
Citations per year, relative to Meiping Shen Meiping Shen (= 1×) peers Anna Pecorelli

Countries citing papers authored by Meiping Shen

Since Specialization
Citations

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

Fields of papers citing papers by Meiping Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meiping Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Meiping Shen. A scholar is included among the top collaborators of Meiping Shen 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 Meiping Shen. Meiping Shen 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, Lijun, Chengyuan Li, Jianing Zhou, et al.. (2025). UBE2T promotes papillary thyroid carcinoma progression by activating the JAK/STAT3 pathway via negative regulation of SOCS2. Seminars in Oncology. 53(1). 152439–152439.
2.
Zhao, Bo, Jing Wang, Meiping Shen, et al.. (2025). Novel exosome-like vesicles from Dendrobium officinale: Unraveling a pioneering extraction protocol and their skin anti-aging potentials. SHILAP Revista de lepidopterología. 6. 100090–100090.
3.
Zhao, Bo, Jing Wang, Meiping Shen, et al.. (2025). Therapeutic potential of Lycium barbarum-derived exosome-like nanovesicles in combating photodamage and enhancing skin barrier repair. SHILAP Revista de lepidopterología. 5. 100072–100072. 1 indexed citations
4.
Wang, Jing, Meiping Shen, Bo Zhao, et al.. (2024). Manufacturing, quality control, and GLP-grade preclinical study of nebulized allogenic adipose mesenchymal stromal cells-derived extracellular vesicles. Stem Cell Research & Therapy. 15(1). 95–95. 6 indexed citations
5.
Wu, Luyao, Jian Xiao, Dandan Yi, et al.. (2024). Cytosolic Cadherin 4 promotes angiogenesis and metastasis in papillary thyroid cancer by suppressing the ubiquitination/degradation of β-catenin. Journal of Translational Medicine. 22(1). 201–201. 7 indexed citations
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Zhou, Qing, Dan Xu, Yuanyuan Zhang, et al.. (2021). Epidemiological characteristics of four common respiratory viral infections in children. Virology Journal. 18(1). 10–10. 66 indexed citations
11.
Zhou, Yan, Guo‐Yi Su, Hao Hu, et al.. (2021). Radiomics from Primary Tumor on Dual-Energy CT Derived Iodine Maps can Predict Cervical Lymph Node Metastasis in Papillary Thyroid Cancer. Academic Radiology. 29. S222–S231. 21 indexed citations
12.
Zhou, Yan, Guo‐Yi Su, Hao Hu, et al.. (2020). Radiomics analysis of dual-energy CT-derived iodine maps for diagnosing metastatic cervical lymph nodes in patients with papillary thyroid cancer. European Radiology. 30(11). 6251–6262. 61 indexed citations
13.
Shen, Meiping, et al.. (2020). Investigation of anxiety levels of 1637 healthcare workers during the epidemic of COVID-19. PLoS ONE. 15(12). e0243890–e0243890. 14 indexed citations
14.
Zhuang, Xi, et al.. (2019). <p>Long noncoding RNA ZFAS1 promotes progression of papillary thyroid carcinoma by sponging miR-590-3p and upregulating HMGA2 expression</p>. OncoTargets and Therapy. Volume 12. 7501–7512. 30 indexed citations
15.
Du, Changhong, Yang Xu, Ke Yang, et al.. (2016). Estrogen promotes megakaryocyte polyploidization via estrogen receptor beta-mediated transcription of GATA1. Leukemia. 31(4). 945–956. 33 indexed citations
16.
Zhang, Yuzhi, Ting Xu, Cuiying Li, et al.. (2016). Application of high-resolution ultrasound, real-time elastography, and contrast-enhanced ultrasound in differentiating solid thyroid nodules. Medicine. 95(45). e5329–e5329. 43 indexed citations
17.
Chen, Minjian, Meiping Shen, Yanyun Li, et al.. (2015). GC-MS-based metabolomic analysis of human papillary thyroid carcinoma tissue. International Journal of Molecular Medicine. 36(6). 1607–1614. 49 indexed citations
18.
Zhao, Shigang, Yiqun Jiang, Meiping Shen, et al.. (2015). A novel mutation links to von Hippel-Lindau syndrome in a Chinese family with hemangioblastoma. Genetics and Molecular Research. 14(2). 4513–4520. 1 indexed citations
19.
Liu, Xiaoyun, Lijun Zhu, Dai Cui, et al.. (2014). Annual Financial Impact of Thyroidectomies for Nodular Thyroid Disease in China. Asian Pacific Journal of Cancer Prevention. 15(14). 5921–5926. 8 indexed citations
20.
Shao, Yongfeng, et al.. (2009). Extracorporeal Membrane Oxygenation-Assisted Resection of Goiter Causing Severe Extrinsic Airway Compression. The Annals of Thoracic Surgery. 88(2). 659–661. 31 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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