Ying Luo

9.7k total citations · 1 hit paper
179 papers, 7.6k citations indexed

About

Ying Luo is a scholar working on Molecular Biology, Cancer Research and Neurology. According to data from OpenAlex, Ying Luo has authored 179 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Molecular Biology, 41 papers in Cancer Research and 26 papers in Neurology. Recurrent topics in Ying Luo's work include Neuroinflammation and Neurodegeneration Mechanisms (22 papers), Pulmonary Hypertension Research and Treatments (15 papers) and MicroRNA in disease regulation (13 papers). Ying Luo is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (22 papers), Pulmonary Hypertension Research and Treatments (15 papers) and MicroRNA in disease regulation (13 papers). Ying Luo collaborates with scholars based in China, United States and United Kingdom. Ying Luo's co-authors include Jing Zhou, Xiaogang Li, Peter Vassilev, Surya M. Nauli, Edward M. Brown, Andrew E. H. Elia, Donald E. Ingber, Eric O. Williams, Stephen Quinn and Lu W and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Ying Luo

172 papers receiving 7.5k citations

Hit Papers

Polycystins 1 and 2 mediate mechanosensation in the prima... 2003 2026 2010 2018 2003 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Luo China 42 4.5k 2.2k 808 798 749 179 7.6k
Thierry Arnould Belgium 45 3.8k 0.8× 1.2k 0.6× 609 0.8× 621 0.8× 1.1k 1.5× 110 6.4k
Ali Pedram United States 48 3.8k 0.8× 4.0k 1.8× 416 0.5× 449 0.6× 721 1.0× 78 9.2k
Keiichiro Suzuki Japan 55 5.0k 1.1× 830 0.4× 710 0.9× 590 0.7× 360 0.5× 197 8.5k
Joseph L. Napoli United States 59 7.0k 1.5× 2.1k 0.9× 1.2k 1.5× 1.6k 2.0× 374 0.5× 197 10.6k
Ken Arai United States 63 4.8k 1.0× 771 0.3× 638 0.8× 394 0.5× 1.2k 1.5× 238 11.8k
Ratna K. Vadlamudi United States 64 7.0k 1.5× 2.7k 1.2× 1.2k 1.5× 518 0.6× 1.6k 2.2× 227 11.8k
Richard J. Rodenburg Netherlands 58 8.2k 1.8× 952 0.4× 449 0.6× 312 0.4× 555 0.7× 250 10.9k
Ioana Alesutan Germany 36 3.4k 0.7× 869 0.4× 596 0.7× 314 0.4× 255 0.3× 112 6.9k
James M. Trzăskos United States 34 4.7k 1.0× 2.1k 0.9× 603 0.7× 505 0.6× 1.3k 1.7× 71 11.4k
Zengqiang Yuan China 51 5.5k 1.2× 627 0.3× 1.7k 2.1× 294 0.4× 1.0k 1.4× 140 8.6k

Countries citing papers authored by Ying Luo

Since Specialization
Citations

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

Fields of papers citing papers by Ying Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Luo. A scholar is included among the top collaborators of Ying Luo 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 Ying Luo. Ying Luo 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.
Yang, Jing, et al.. (2024). Nrf1 Reduces COX-2 Expression and Maintains Cellular Homeostasis After Cerebral Ischemia/Reperfusion By Targeting IL-6/TNF-α Protein Production. Journal of Neuroimmune Pharmacology. 19(1). 41–41. 3 indexed citations
2.
Luo, Ying, et al.. (2024). Characterization of Shy1, the Schizosaccharomyces pombe homolog of human SURF1. Scientific Reports. 14(1). 21678–21678. 2 indexed citations
3.
Xu, Anqi, et al.. (2024). Expression of microRNAs during apheresis platelet storage up to day 14 in a blood bank in China. Transfusion Clinique et Biologique. 31(2). 95–101.
4.
Zhang, Bo, et al.. (2024). Acacetin Attenuates Sepsis-induced Acute Lung Injury via NLRC3-NF-κB Pathway. Inflammation. 48(1). 75–88. 3 indexed citations
5.
Luo, Ying, et al.. (2024). Implementasi Kurikulum Merdeka Belajar dalam Mata Kuliah Bahasa Indonesia di PTKIN. SHILAP Revista de lepidopterología. 1(2). 1 indexed citations
6.
7.
Jia, Yujie, et al.. (2023). Thiolutin attenuates ischemic stroke injury via inhibition of NLRP3 inflammasome: an in vitro and in vivo study. Experimental Brain Research. 241(3). 839–849. 5 indexed citations
8.
Wang, Jing, et al.. (2023). PDK1 upregulates PINK1-mediated pulmonary endothelial cell mitophagy during hypoxia-induced pulmonary vascular remodeling. Molecular Biology Reports. 50(7). 5585–5596. 5 indexed citations
9.
Chen, Mengyuan, Maozhu Liu, Ying Luo, et al.. (2022). Celastrol Protects against Cerebral Ischemia/Reperfusion Injury in Mice by Inhibiting Glycolysis through Targeting HIF‐1α/PDK1 Axis. Oxidative Medicine and Cellular Longevity. 2022(1). 7420507–7420507. 24 indexed citations
10.
Luo, Ying, Meilan Liu, Jie Cao, Fuliang Cao, & Lin Zhang. (2022). The role of salicylic acid in plant flower development. SHILAP Revista de lepidopterología. 2(1). 0–0. 13 indexed citations
11.
Chen, Qi, Haifeng Huang, Lin Chen, et al.. (2022). MiR-702-5p ameliorates diabetic encephalopathy in db/db mice by regulating 12/15-LOX. Experimental Neurology. 358. 114212–114212. 6 indexed citations
12.
Ma, Jie, Huan Li, Yang Lü, et al.. (2017). CMD-05, a novel promising clinical anti-diabetic drug candidate, in vivo and vitro studies. Scientific Reports. 7(1). 46628–46628. 11 indexed citations
13.
He, Zhen‐Yu, San‐Gang Wu, Fang Peng, et al.. (2016). Up-Regulation of RFC3 Promotes Triple Negative Breast Cancer Metastasis and is Associated With Poor Prognosis Via EMT. Translational Oncology. 10(1). 1–9. 38 indexed citations
14.
Liu, Bingbing, et al.. (2015). Expression of tumor CD90 in hepatocellular carcinoma and its relationship with epithelial mesenchymal transition. Zhonghua xiaohua zazhi. 35(11). 739–743.
15.
Dong, Mingqing, Wei Liu, Li Wang, et al.. (2014). 1α,25-Dihydroxyvitamin D3 Ameliorates Seawater Aspiration-Induced Acute Lung Injury via NF-κB and RhoA/Rho Kinase Pathways. PLoS ONE. 9(8). e104507–e104507. 28 indexed citations
16.
Xu, Yuxia, Dandan Wang, Ying Luo, et al.. (2014). Beta amyloid-induced upregulation of death receptor 6 accelerates the toxic effect of N-terminal fragment of amyloid precursor protein. Neurobiology of Aging. 36(1). 157–168. 12 indexed citations
17.
Yang, Zhen, Ronnie T.P. Poon, Ying Luo, et al.. (2004). Up-Regulation of Vascular Endothelial Growth Factor (VEGF) in Small-for-Size Liver Grafts Enhances Macrophage Activities through VEGF Receptor 2-Dependent Pathway. The Journal of Immunology. 173(4). 2507–2515. 65 indexed citations
18.
Yu, Pei, Betty Huang, Mary Shen, et al.. (1999). Identification of RIP3, a RIP-like kinase that activates apoptosis and NFκB. Current Biology. 9(10). 539–S3. 118 indexed citations
19.
Luo, Ying, et al.. (1997). Physiological levels of β-amyloid peptide stimulate protein kinase C in PC12 cells. Brain Research. 769(2). 287–295. 32 indexed citations
20.
Luo, Ying & Gordon Carmichael. (1991). Splice Site Choice in a Complex Transcription Unit Containing Multiple Inefficient Polyadenylation Signals. Molecular and Cellular Biology. 11(10). 5291–5300. 8 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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