Yan Nie

1.2k total citations · 1 hit paper
25 papers, 891 citations indexed

About

Yan Nie is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Yan Nie has authored 25 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Oncology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Yan Nie's work include Breast Lesions and Carcinomas (6 papers), Breast Cancer Treatment Studies (5 papers) and Cancer Cells and Metastasis (4 papers). Yan Nie is often cited by papers focused on Breast Lesions and Carcinomas (6 papers), Breast Cancer Treatment Studies (5 papers) and Cancer Cells and Metastasis (4 papers). Yan Nie collaborates with scholars based in China, United States and Belgium. Yan Nie's co-authors include Phei Er Saw, Erwei Song, Xiaoding Xu, Wei Wu, Herui Yao, Fengxi Su, Shaohua Qu, Chang Gong, Xiaoyun Xiao and Yandan Yao and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Biomaterials.

In The Last Decade

Yan Nie

24 papers receiving 881 citations

Hit Papers

Tumour circular RNAs elicit anti-tumour immunity by encod... 2023 2026 2024 2025 2023 25 50 75 100
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. Tumour circular RNAs elicit anti-tumour immunity by encoding cryptic peptides
    2023 116 citations Di Huang, Xiao‐Feng Zhu et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Nie China 13 349 328 271 188 155 25 891
Kristen B. Long United States 12 273 0.8× 731 2.2× 139 0.5× 527 2.8× 104 0.7× 14 1.1k
Guangjian Huang China 16 466 1.3× 149 0.5× 341 1.3× 243 1.3× 75 0.5× 25 998
Abdulmohsen Alkushi Saudi Arabia 18 261 0.7× 218 0.7× 157 0.6× 80 0.4× 67 0.4× 45 1.1k
Valentina Mele Switzerland 14 327 0.9× 683 2.1× 228 0.8× 218 1.2× 307 2.0× 30 1.2k
Pierre‐Emmanuel Colombo France 21 339 1.0× 772 2.4× 304 1.1× 142 0.8× 97 0.6× 78 1.5k
Michael Timaner Israel 14 301 0.9× 359 1.1× 170 0.6× 232 1.2× 101 0.7× 20 758
Ana Luísa Correia Portugal 13 578 1.7× 516 1.6× 246 0.9× 207 1.1× 204 1.3× 21 1.1k
Wuhu Zhang China 14 320 0.9× 492 1.5× 181 0.7× 176 0.9× 115 0.7× 38 969
Liangliang Wu China 15 394 1.1× 351 1.1× 191 0.7× 425 2.3× 83 0.5× 28 957
Jennifer H.E. Baker Canada 17 409 1.2× 300 0.9× 241 0.9× 99 0.5× 170 1.1× 43 933

Countries citing papers authored by Yan Nie

Since Specialization
Citations

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

Fields of papers citing papers by Yan Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Nie. A scholar is included among the top collaborators of Yan Nie 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 Nie. Yan Nie 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.
2.
Huang, Hongyan, et al.. (2024). lncRNA-WAL Promotes Triple-Negative Breast Cancer Aggression by Inducing β-Catenin Nuclear Translocation. Molecular Cancer Research. 22(11). 1036–1050. 4 indexed citations
3.
Chen, Jiewen, Dan Liu, Xun� Li, et al.. (2023). CD146 promotes malignant progression of breast phyllodes tumor through suppressing DCBLD2 degradation and activating the AKT pathway. Cancer Communications. 43(11). 1244–1266. 8 indexed citations
4.
Lao, Liyan, Di Huang, Jia-Ning Chen, et al.. (2023). CD8+ T cell–Dependent Remodeling of the Tumor Microenvironment Overcomes Chemoresistance. Cancer Immunology Research. 11(3). 320–338. 12 indexed citations
5.
Huang, Di, Xiao‐Feng Zhu, Jiahui Zhang, et al.. (2023). Tumour circular RNAs elicit anti-tumour immunity by encoding cryptic peptides. Nature. 625(7995). 593–602. 116 indexed citations breakdown →
6.
Yu, Lin, Shiyu Tan, Yan Nie, et al.. (2023). HER2-targeting Peptide Drug Conjugate with Better Penetrability for Effective Breast Cancer Therapy. SHILAP Revista de lepidopterología. 4(4). 7 indexed citations
7.
Saw, Phei Er, et al.. (2022). Optimization of Ultra-Small Nanoparticles for Enhanced Drug Delivery. SHILAP Revista de lepidopterología. 4(2). 17 indexed citations
8.
Liu, Hanyu, Sushu Wan, Yan Nie, et al.. (2022). Nonblinking Colloidal Quantum Dots via Efficient Multiexciton Emission. The Journal of Physical Chemistry Letters. 13(10). 2371–2378. 10 indexed citations
9.
10.
Chao, Xue, Xiaoyan Jin, Cui Tan, et al.. (2020). Re-excision or “wait and watch”—a prediction model in breast phyllodes tumors after surgery. Annals of Translational Medicine. 8(6). 371–371. 16 indexed citations
11.
Chen, Lili, et al.. (2020). Nomogram for Predicting the Overall Survival of Patients With Breast Cancer With Pathologic Nodal Status N3. Clinical Breast Cancer. 20(6). e778–e785. 9 indexed citations
12.
Li, Senlin, Phei Er Saw, Chunhao Lin, et al.. (2020). Redox-responsive polyprodrug nanoparticles for targeted siRNA delivery and synergistic liver cancer therapy. Biomaterials. 234. 119760–119760. 108 indexed citations
13.
Nie, Yan, Hongyan Huang, Mingyan Guo, et al.. (2019). Breast Phyllodes Tumors Recruit and Repolarize Tumor-Associated Macrophages via Secreting CCL5 to Promote Malignant Progression, Which Can Be Inhibited by CCR5 Inhibition Therapy. Clinical Cancer Research. 25(13). 3873–3886. 128 indexed citations
14.
Xiao, Xiaoyun, Phei Er Saw, Wei Wu, et al.. (2019). Chimeric antigen receptor T cells in solid tumors: a war against the tumor microenvironment. Science China Life Sciences. 63(2). 180–205. 47 indexed citations
15.
Chao, Xue, Kai Chen, Jiayi Zeng, et al.. (2019). Adjuvant radiotherapy and chemotherapy for patients with breast phyllodes tumors: a systematic review and meta-analysis. BMC Cancer. 19(1). 372–372. 52 indexed citations
16.
Saw, Phei Er, Ao Zhang, Yan Nie, et al.. (2018). Tumor-Associated Fibronectin Targeted Liposomal Nanoplatform for Cyclophilin A siRNA Delivery and Targeted Malignant Glioblastoma Therapy. Frontiers in Pharmacology. 9. 1194–1194. 34 indexed citations
17.
Yao, Yandan, Phei Er Saw, Yan Nie, et al.. (2018). Multifunctional sharp pH-responsive nanoparticles for targeted drug delivery and effective breast cancer therapy. Journal of Materials Chemistry B. 7(4). 576–585. 41 indexed citations
18.
Nie, Yan, Jianing Chen, Di Huang, et al.. (2017). Tumor-Associated Macrophages Promote Malignant Progression of Breast Phyllodes Tumors by Inducing Myofibroblast Differentiation. Cancer Research. 77(13). 3605–3618. 43 indexed citations
19.
20.
Gong, Chang, Yan Nie, Shaohua Qu, et al.. (2014). miR-21 Induces Myofibroblast Differentiation and Promotes the Malignant Progression of Breast Phyllodes Tumors. Cancer Research. 74(16). 4341–4352. 75 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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