Ya Niu

420 total citations
14 papers, 333 citations indexed

About

Ya Niu is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ya Niu has authored 14 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ya Niu's work include Circadian rhythm and melatonin (2 papers), Neonatal Respiratory Health Research (2 papers) and Connective tissue disorders research (2 papers). Ya Niu is often cited by papers focused on Circadian rhythm and melatonin (2 papers), Neonatal Respiratory Health Research (2 papers) and Connective tissue disorders research (2 papers). Ya Niu collaborates with scholars based in China, Hong Kong and United Kingdom. Ya Niu's co-authors include Liang Zhao, Yanqing Ding, Feifei Zhang, Ziyun Shao, Yuhao Luo, Jiaolong Shi, Lijun Xu, Qing Liao, Hui Wang and Hui Wang and has published in prestigious journals such as Scientific Reports, Clinical Cancer Research and Advanced Science.

In The Last Decade

Ya Niu

12 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ya Niu China 7 214 135 63 34 31 14 333
Juan Xie China 9 175 0.8× 96 0.7× 67 1.1× 26 0.8× 20 0.6× 21 298
Yuqing Wen China 13 167 0.8× 95 0.7× 84 1.3× 53 1.6× 12 0.4× 27 348
Tong Xie China 11 214 1.0× 120 0.9× 75 1.2× 43 1.3× 10 0.3× 19 358
Yuhei Takada Japan 5 209 1.0× 121 0.9× 60 1.0× 116 3.4× 19 0.6× 8 396
Chunyang Ma China 11 183 0.9× 66 0.5× 33 0.5× 32 0.9× 8 0.3× 23 354
Ki‐Hoon Song South Korea 10 249 1.2× 44 0.3× 101 1.6× 71 2.1× 27 0.9× 31 427
Elmira Roshani Asl Iran 9 207 1.0× 124 0.9× 79 1.3× 45 1.3× 12 0.4× 24 362

Countries citing papers authored by Ya Niu

Since Specialization
Citations

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

Fields of papers citing papers by Ya Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ya Niu

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

All Works

14 of 14 papers shown
1.
Cai, Meng‐yun, Ya Niu, Stephen Kwok‐Wing Tsui, et al.. (2024). Single-cell RNA sequencing reveals heterogeneity of ALI model and epithelial cell alterations after exposure to electronic cigarette aerosol. Heliyon. 10(19). e38552–e38552. 2 indexed citations
2.
Wang, Dongliang, Shuoer Wang, Mingming Jin, et al.. (2024). Hypoxic Exosomal circPLEKHM1‐Mediated Crosstalk between Tumor Cells and Macrophages Drives Lung Cancer Metastasis. Advanced Science. 11(22). e2309857–e2309857. 28 indexed citations
3.
Liu, Xingjian, et al.. (2023). Pro-inflammatory action of formoterol in human bronchial epithelia. Molecular Immunology. 160. 95–102. 1 indexed citations
4.
Niu, Ya, Guangyu Xu, Shaoping Zhu, et al.. (2022). NONO regulates multiple cytokine production in sepsis via the ERK1/2 signaling pathway. Molecular Immunology. 153. 94–105. 4 indexed citations
5.
Niu, Ya, Xinyi Fan, Ya-Ping Wang, et al.. (2022). Genome-wide CRISPR Screening Reveals Pyrimidine Metabolic Reprogramming in 5-FU Chronochemotherapy of Colorectal Cancer. Frontiers in Oncology. 12. 949715–949715. 11 indexed citations
6.
Niu, Ya & Shuang Tang. (2022). Circadian clock‐mediated nuclear receptors in cancer. Journal of Cellular Physiology. 237(12). 4428–4442.
8.
Wei, Qiuyu, Qiuxuan Yang, Qilong Wang, et al.. (2018). Formulation, Characterization, and Pharmacokinetic Studies of 6-Gingerol-Loaded Nanostructured Lipid Carriers. AAPS PharmSciTech. 19(8). 3661–3669. 58 indexed citations
9.
Zhang, Feifei, Yuhao Luo, Ziyun Shao, et al.. (2016). MicroRNA-187, a downstream effector of TGFβ pathway, suppresses Smad-mediated epithelial–mesenchymal transition in colorectal cancer. Cancer Letters. 373(2). 203–213. 64 indexed citations
10.
Niu, Ya, Ziyun Shao, Hui Wang, et al.. (2016). LASP1-S100A11 axis promotes colorectal cancer aggressiveness by modulating TGFβ/Smad signaling. Scientific Reports. 6(1). 26112–26112. 59 indexed citations
11.
Niu, Ya, et al.. (2015). Relation between prognosis and changes of MBP and S100B in premature infants with periventricular leukomalacia. Genetics and Molecular Research. 14(2). 4338–4343. 4 indexed citations
12.
Wang, Hui, Jiaolong Shi, Yuhao Luo, et al.. (2014). LIM and SH3 Protein 1 Induces TGFβ-Mediated Epithelial–Mesenchymal Transition in Human Colorectal Cancer by Regulating S100A4 Expression. Clinical Cancer Research. 20(22). 5835–5847. 89 indexed citations
13.
Niu, Ya, Xin Liao, Xuenong Li, & Liang Zhao. (2014). Breast carcinoma with osteoclastic giant cells: case report and review of the literature.. PubMed. 7(4). 1788–91. 8 indexed citations
14.
Niu, Ya. (2012). Neuropsychological Impairment Characteristics of MCI and Its Early Detection and Intervention: Prevent and Delay The Onset of AD. PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS.

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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