Yunye Ning

807 total citations
29 papers, 608 citations indexed

About

Yunye Ning is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Yunye Ning has authored 29 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Pulmonary and Respiratory Medicine and 6 papers in Immunology. Recurrent topics in Yunye Ning's work include Circular RNAs in diseases (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers) and Epigenetics and DNA Methylation (3 papers). Yunye Ning is often cited by papers focused on Circular RNAs in diseases (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers) and Epigenetics and DNA Methylation (3 papers). Yunye Ning collaborates with scholars based in China, Greece and Germany. Yunye Ning's co-authors include Chong Bai, Yuchao Dong, Wujian Xu, Hui Shi, Wei Zhang, Yan Shang, Haidong Huang, Xiaoli Zhou, Qiang Li and Qiang Li and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Pharmaceutics.

In The Last Decade

Yunye Ning

28 papers receiving 601 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yunye Ning China 18 301 168 144 81 74 29 608
Ni Yin China 18 284 0.9× 142 0.8× 134 0.9× 112 1.4× 118 1.6× 49 735
Quan Zheng China 14 412 1.4× 202 1.2× 100 0.7× 84 1.0× 71 1.0× 56 727
Junmeng Zheng China 13 292 1.0× 165 1.0× 102 0.7× 77 1.0× 101 1.4× 41 616
Vidar Beisvåg Norway 17 371 1.2× 120 0.7× 91 0.6× 96 1.2× 108 1.5× 38 757
Hai Zhou China 15 335 1.1× 245 1.5× 148 1.0× 44 0.5× 164 2.2× 48 710
Xiaoxi Chen China 15 269 0.9× 221 1.3× 225 1.6× 75 0.9× 82 1.1× 48 784
Chunyan Xia China 14 211 0.7× 114 0.7× 73 0.5× 48 0.6× 150 2.0× 33 612
Ming-Hui Zheng China 16 399 1.3× 175 1.0× 75 0.5× 67 0.8× 62 0.8× 32 684
Ezra Baraban United States 14 174 0.6× 125 0.7× 165 1.1× 36 0.4× 132 1.8× 69 633
Yucheng Yang China 14 214 0.7× 95 0.6× 88 0.6× 77 1.0× 81 1.1× 42 530

Countries citing papers authored by Yunye Ning

Since Specialization
Citations

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

Fields of papers citing papers by Yunye Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunye Ning

This figure shows the co-authorship network connecting the top 25 collaborators of Yunye Ning. A scholar is included among the top collaborators of Yunye Ning 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 Yunye Ning. Yunye Ning 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.
Zhou, Qiao, Jiajun Liu, Xia Yang, et al.. (2024). Depletion of regulatory T cells enhances the T cell response induced by the neoantigen vaccine with weak immunogenicity. Neoplasia. 59. 101088–101088. 4 indexed citations
2.
Xia, Yang, Xinyu Feng, Yunye Ning, et al.. (2023). PLEKHG2 Promotes NSCLC Cell Growth by Increasing Glycolysis via Activated PI3K/AKT Pathway. Journal of Cancer. 14(18). 3550–3560.
3.
Yang, Xia, et al.. (2022). MEF2 intervened LPS-induced acute lung injury by binding to KLF2 promoter and modulating macrophage phenotype. International Immunopharmacology. 108. 108873–108873. 7 indexed citations
4.
Li, Xiang, Hui Shi, Chong Bai, et al.. (2021). Immunotherapy and Targeting the Tumor Microenvironment: Current Place and New Insights in Primary Pulmonary NUT Carcinoma. Frontiers in Oncology. 11. 690115–690115. 22 indexed citations
5.
Shang, Yan, et al.. (2020). Exosomes from mmu_circ_0001359-Modified ADSCs Attenuate Airway Remodeling by Enhancing FoxO1 Signaling-Mediated M2-like Macrophage Activation. Molecular Therapy — Nucleic Acids. 19. 951–960. 58 indexed citations
6.
Shi, Hui, Haidong Huang, Dongchen Shi, et al.. (2018). Decreased pretherapy serum apolipoprotein A-I is associated with extent of metastasis and poor prognosis of non-small-cell lung cancer. OncoTargets and Therapy. Volume 11. 6995–7003. 20 indexed citations
7.
Zhang, Chen, Sha Li, Kong Chen, et al.. (2018). The 100 most influential publications in asthma from 1960 to 2017: A bibliometric analysis. Respiratory Medicine. 137. 206–212. 30 indexed citations
8.
Zhu, Ying, Qiang Tong, Yunye Ning, et al.. (2017). Nogo-B Facilitates LPS-Mediated Immune Responses by Up-Regulation of TLR4-Signaling in Macrophage RAW264.7. Cellular Physiology and Biochemistry. 41(1). 274–285. 18 indexed citations
9.
Huang, Haidong, Yunye Ning, Wei Zhang, et al.. (2017). Multiple guided technologies based on radial probe endobronchial ultrasound for the diagnosis of solitary peripheral pulmonary lesions: a single-center study. Journal of Cancer. 8(17). 3514–3521. 24 indexed citations
10.
Zhang, Shu, Sha Li, Yunye Ning, et al.. (2017). MicroRNA-34/449 targets IGFBP-3 and attenuates airway remodeling by suppressing Nur77-mediated autophagy. Cell Death and Disease. 8(8). e2998–e2998. 62 indexed citations
11.
Xu, Wujian, Ying Zhu, Yunye Ning, et al.. (2015). Nogo-B protects mice against lipopolysaccharide-induced acute lung injury. Scientific Reports. 5(1). 12061–12061. 18 indexed citations
12.
13.
Ning, Yunye, et al.. (2013). 5-Aza-2′-deoxycytidine inhibited PDGF-induced rat airway smooth muscle cell phenotypic switching. Archives of Toxicology. 87(5). 871–881. 28 indexed citations
14.
Zarogoulidis, Paul, Dimitris Petridis, Christos Ritzoulis, et al.. (2013). Further experimentation of inhaled; Lantus, Actrapid and Humulin with todays’ production systems. International Journal of Pharmaceutics. 458(1). 39–47. 10 indexed citations
15.
16.
Xu, Wujian, Weijun Hong, Yan Shao, et al.. (2011). Nogo-B regulates migration and contraction of airway smooth muscle cells by decreasing ARPC 2/3 and increasing MYL-9 expression. Respiratory Research. 12(1). 14–14. 18 indexed citations
17.
Ning, Yunye, Yuchao Dong, Wujian Xu, et al.. (2011). Slit2-N inhibits PDGF-induced migration in rat airway smooth muscle cells: WASP and Arp2/3 involved. Toxicology. 283(1). 32–40. 24 indexed citations
18.
He, Guangming, Tao Wang, Lei Chen, et al.. (2010). Losartan attenuates chronic cigarette smoke exposure-induced pulmonary arterial hypertension in rats: Possible involvement of angiotensin-converting enzyme-2. Toxicology and Applied Pharmacology. 245(1). 100–107. 38 indexed citations
19.
Wang, Tao, Shangfu Zhang, Yunye Ning, et al.. (2010). Role of chymase in cigarette smoke-induced pulmonary artery remodeling and pulmonary hypertension in hamsters. Respiratory Research. 11(1). 36–36. 32 indexed citations
20.
Song, Xingbo, Qingqing Liu, Yunye Ning, et al.. (2009). Involvement of ERK, Bcl-2 family and caspase 3 in recombinant human activin A-induced apoptosis in A549. Toxicology. 258(2-3). 176–183. 14 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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