Meng Yang

3.6k total citations · 1 hit paper
58 papers, 2.8k citations indexed

About

Meng Yang is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Meng Yang has authored 58 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 14 papers in Molecular Biology and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Meng Yang's work include Cancer Immunotherapy and Biomarkers (9 papers), Advancements in Transdermal Drug Delivery (7 papers) and Nanoplatforms for cancer theranostics (5 papers). Meng Yang is often cited by papers focused on Cancer Immunotherapy and Biomarkers (9 papers), Advancements in Transdermal Drug Delivery (7 papers) and Nanoplatforms for cancer theranostics (5 papers). Meng Yang collaborates with scholars based in China, United States and Australia. Meng Yang's co-authors include Robert M. Hoffman, Eugene Baranov, Jordan S. Fridman, Scott W. Lowe, Clemens A. Schmitt, Soyoung Lee, Jiyong Liu, Yongwei Gu, Xiaomeng Tang and Fuliang Cao and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and ACS Nano.

In The Last Decade

Meng Yang

53 papers receiving 2.7k citations

Hit Papers

A Senescence Program Controlled by p53 and p16INK4a Contr... 2002 2026 2010 2018 2002 250 500 750
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. A Senescence Program Controlled by p53 and p16INK4a Contributes to the Outcome of Cancer Therapy
    2002 843 citations Clemens A. Schmitt, Jordan S. Fridman et al. Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meng Yang China 22 1.3k 787 493 411 317 58 2.8k
Zehong Cao United States 20 1.2k 0.9× 342 0.4× 572 1.2× 489 1.2× 325 1.0× 28 2.7k
Savita Bisht Germany 23 1.4k 1.1× 807 1.0× 328 0.7× 230 0.6× 266 0.8× 43 3.2k
Xiaodong Xie China 32 1.7k 1.3× 625 0.8× 506 1.0× 114 0.3× 614 1.9× 141 3.2k
Christine Pirker Austria 31 1.4k 1.1× 1.0k 1.3× 175 0.4× 152 0.4× 448 1.4× 92 3.0k
Ke Xu China 38 2.1k 1.7× 792 1.0× 540 1.1× 304 0.7× 1.1k 3.6× 145 4.2k
Arati Sharma United States 30 2.5k 1.9× 1.1k 1.3× 424 0.9× 140 0.3× 399 1.3× 90 3.9k
Antonia Aránega Spain 28 1.2k 0.9× 550 0.7× 263 0.5× 99 0.2× 220 0.7× 137 2.9k
Anna Laurenzana Italy 29 1.2k 1.0× 461 0.6× 273 0.6× 186 0.5× 493 1.6× 77 2.3k
Carlo Leonetti Italy 41 3.2k 2.5× 1.8k 2.2× 247 0.5× 410 1.0× 684 2.2× 129 5.1k
Qin Lu China 32 1.2k 0.9× 399 0.5× 875 1.8× 113 0.3× 245 0.8× 106 3.0k

Countries citing papers authored by Meng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Meng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Yang. A scholar is included among the top collaborators of Meng Yang 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 Meng Yang. Meng Yang 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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Wang, Jingjing, et al.. (2025). Immunotherapy in Recurrent Ovarian Cancer. Biomedicines. 13(1). 168–168. 3 indexed citations
3.
Jiang, Qipeng, Meng Yang, Chunhua Weng, et al.. (2025). Tobacco black shank disease significantly affects the composition and assembly of the genotype-associated microbial community in the rhizosphere. Applied Soil Ecology. 209. 106039–106039.
4.
Yang, Meng, Yuanyuan Shi, Feng Wang, et al.. (2025). Hydrogel Microspheres as Versatile Platforms for Biomedical Research: Design, Properties, and Applications. MedComm. 6(10). e70423–e70423. 1 indexed citations
5.
Liu, Yan, Jia Zhang, Yijia Zhang, et al.. (2025). Electrochemiluminescence Mechanisms and Bioanalysis Based on Multishape Gold Nanoparticles and Visualized ATT-Au NCs. ACS Applied Materials & Interfaces. 17(8). 11667–11677. 3 indexed citations
6.
Wang, Juan, Yanyan Xu, Meng Yang, et al.. (2023). Comparison between percutaneous transthoracic co-axial needle CT-guided biopsy and transbronchial lung biopsy for the diagnosis of persistent pulmonary consolidation. Insights into Imaging. 14(1). 80–80. 4 indexed citations
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Wu, Dan, Hongru Shen, Xilin Shen, et al.. (2022). Prediction of Two Molecular Subtypes of Gastric Cancer Based on Immune Signature. Frontiers in Genetics. 12. 793494–793494. 9 indexed citations
9.
Peng, Hao, et al.. (2022). RAB6B is a potential prognostic marker and correlated with the remolding of tumor immune microenvironment in hepatocellular carcinoma. Frontiers in Pharmacology. 13. 989655–989655. 2 indexed citations
10.
Zhu, Ying, Meng Yang, Xuehui Li, et al.. (2021). Nogo-B promotes epithelial-mesenchymal transition in lung fibrosis via PERK branch of the endoplasmic reticulum stress pathway. Annals of Translational Medicine. 9(7). 563–563. 4 indexed citations
11.
Yang, Meng, et al.. (2021). Stevens-Johnson Syndrome Caused by Enzalutamide: A Case Report and Literature Review. Frontiers in Oncology. 11. 736975–736975. 6 indexed citations
12.
Gu, Yongwei, Qing Gu, Qing Yang, et al.. (2020). <p>Finite Element Analysis for Predicting Skin Pharmacokinetics of Nano Transdermal Drug Delivery System Based on the Multilayer Geometry Model</p>. International Journal of Nanomedicine. Volume 15. 6007–6018. 6 indexed citations
13.
Gu, Yongwei, Meng Yang, Xiaomeng Tang, et al.. (2018). Lipid nanoparticles loading triptolide for transdermal delivery: mechanisms of penetration enhancement and transport properties. Journal of Nanobiotechnology. 16(1). 68–68. 62 indexed citations
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Ongkeko, Weg M., D. W. Burton, Alan Kiang, et al.. (2014). Parathyroid Hormone Related-Protein Promotes Epithelial-to-Mesenchymal Transition in Prostate Cancer. PLoS ONE. 9(1). e85803–e85803. 33 indexed citations
17.
Li, Lingna, Li Tang, Eugene Baranov, et al.. (2010). Selective induction of apoptosis in the hamster flank sebaceous gland organ by a topical liposome 5‐α‐reductase inhibitor: A treatment strategy for acne. The Journal of Dermatology. 37(2). 156–162. 8 indexed citations
18.
Burton, D. W., J Geller, Meng Yang, et al.. (2004). Monitoring of skeletal progression of prostate cancer by GFP imaging, X‐ray, and serum OPG and PTHrP. The Prostate. 62(3). 275–281. 23 indexed citations
19.
Schmitt, Clemens A., Jordan S. Fridman, Meng Yang, et al.. (2002). A Senescence Program Controlled by p53 and p16INK4a Contributes to the Outcome of Cancer Therapy. Cell. 109(3). 335–346. 843 indexed citations breakdown →
20.
Bouvet, Michael, Ping Jiang, Eugene Baranov, et al.. (2000). Antimetastatic efficacy of adjuvant gemcitabine in a pancreatic cancer orthotopic model. Clinical & Experimental Metastasis. 18(5). 379–384. 22 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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