Cunjin Su

1.1k total citations
30 papers, 823 citations indexed

About

Cunjin Su is a scholar working on Molecular Biology, Neurology and Cancer Research. According to data from OpenAlex, Cunjin Su has authored 30 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Neurology and 7 papers in Cancer Research. Recurrent topics in Cunjin Su's work include Parkinson's Disease Mechanisms and Treatments (6 papers), Autophagy in Disease and Therapy (5 papers) and Cancer-related molecular mechanisms research (4 papers). Cunjin Su is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (6 papers), Autophagy in Disease and Therapy (5 papers) and Cancer-related molecular mechanisms research (4 papers). Cunjin Su collaborates with scholars based in China, United States and Czechia. Cunjin Su's co-authors include Gang Hu, Ming Lu, Jianhua Ding, Yaqi Bian, Qiao Chen, Aiming Shi, Tong Liu, Ya Huang, Junjie Bao and Yunli Yu and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Frontiers in Immunology and Antioxidants and Redox Signaling.

In The Last Decade

Cunjin Su

29 papers receiving 816 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cunjin Su China 16 396 180 156 155 118 30 823
Stephanie Oh United States 11 528 1.3× 185 1.0× 72 0.5× 282 1.8× 147 1.2× 16 995
Sandro L. Pereira Portugal 18 640 1.6× 248 1.4× 98 0.6× 174 1.1× 90 0.8× 25 1.2k
Yu‐Long Lan China 23 518 1.3× 84 0.5× 182 1.2× 112 0.7× 74 0.6× 48 1.1k
Roberta Filograna Sweden 14 720 1.8× 245 1.4× 96 0.6× 165 1.1× 72 0.6× 23 1.2k
Jianfei Lu China 15 522 1.3× 138 0.8× 142 0.9× 94 0.6× 184 1.6× 27 1.1k
Deepaneeta Sarmah India 23 585 1.5× 121 0.7× 153 1.0× 180 1.2× 288 2.4× 54 1.4k
Ali Winters United States 17 441 1.1× 67 0.4× 134 0.9× 190 1.2× 75 0.6× 28 999
Jianing Luo China 17 473 1.2× 192 1.1× 136 0.9× 96 0.6× 165 1.4× 34 898
Nanshan Song China 11 510 1.3× 118 0.7× 76 0.5× 105 0.7× 135 1.1× 14 899
Paul Fraser United Kingdom 14 506 1.3× 98 0.5× 64 0.4× 127 0.8× 78 0.7× 22 970

Countries citing papers authored by Cunjin Su

Since Specialization
Citations

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

Fields of papers citing papers by Cunjin Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cunjin Su

This figure shows the co-authorship network connecting the top 25 collaborators of Cunjin Su. A scholar is included among the top collaborators of Cunjin Su 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 Cunjin Su. Cunjin Su 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.
Lv, Bo, et al.. (2024). Metabolic Disturbances in a Mouse Model of MPTP/Probenecid-Induced Parkinson’s Disease: Evaluation Using Liquid Chromatography-Mass Spectrometry. Neuropsychiatric Disease and Treatment. Volume 20. 1629–1639. 3 indexed citations
3.
Xiang, Zheng, Yuchen Qu, Bo Lv, et al.. (2024). The Efficacy and Safety of Nirmatrelvir/Ritonavir Against COVID-19 in Elderly Patients. International Journal of General Medicine. Volume 17. 297–304. 1 indexed citations
4.
Qu, Yuchen, et al.. (2023). Role of metabolomic profile as a potential marker to discriminate membranous nephropathy from IgA nephropathy. International Urology and Nephrology. 56(2). 635–651. 2 indexed citations
5.
Su, Cunjin, et al.. (2023). Resolvin D1/N-formyl peptide receptor 2 ameliorates paclitaxel-induced neuropathic pain through the activation of IL-10/Nrf2/HO-1 pathway in mice. Frontiers in Immunology. 14. 1091753–1091753. 17 indexed citations
6.
Cheng, Yaping, Li‐Qiang Qin, Yuanliang Liu, et al.. (2022). Plasma metabolomics for the assessment of the progression of non-small cell lung cancer. The International Journal of Biological Markers. 38(1). 37–45. 3 indexed citations
7.
Qu, Yuchen, et al.. (2022). Gut Microbiota-Mediated Elevated Production of Secondary Bile Acids in Chronic Unpredictable Mild Stress. Frontiers in Pharmacology. 13. 837543–837543. 31 indexed citations
8.
9.
Zhao, Xiangrong, Li Zou, Qiliang Peng, et al.. (2022). PD-1 Inhibitor Combined With Radiotherapy and GM-CSF (PRaG) in Patients With Metastatic Solid Tumors: An Open-Label Phase II Study. Frontiers in Immunology. 13. 952066–952066. 25 indexed citations
10.
Shi, Aiming, et al.. (2021). Dabigatran plasma concentration indicated the risk of patients with non-valvular atrial fibrillation. Heart and Vessels. 37(5). 821–827. 6 indexed citations
11.
Ni, Liwei, Jianhao Xu, Jialong Tao, et al.. (2021). MiR-221-3p-mediated downregulation of MDM2 reverses the paclitaxel resistance of non-small cell lung cancer in vitro and in vivo. European Journal of Pharmacology. 899. 174054–174054. 21 indexed citations
12.
13.
Yang, Li, Jing Liu, Xu Liu, et al.. (2019). Antidepressant-Like Action of Single Facial Injection of Botulinum Neurotoxin A is Associated with Augmented 5-HT Levels and BDNF/ERK/CREB Pathways in Mouse Brain. Neuroscience Bulletin. 35(4). 661–672. 39 indexed citations
14.
Feng, Yu, Di Liu, Zhihong Wang, et al.. (2019). The role of Nav1.7 and methylglyoxal-mediated activation of TRPA1 in itch and hypoalgesia in a murine model of type 1 diabetes. Theranostics. 9(15). 4287–4307. 36 indexed citations
15.
Xu, Jianhao, Cunjin Su, Jialong Tao, et al.. (2018). Paclitaxel promotes lung cancer cell apoptosis via MEG3-P53 pathway activation. Biochemical and Biophysical Research Communications. 504(1). 123–128. 40 indexed citations
16.
Wang, Bing, Cunjin Su, Tengteng Liu, et al.. (2018). The Neuroprotection of Low-Dose Morphine in Cellular and Animal Models of Parkinson’s Disease Through Ameliorating Endoplasmic Reticulum (ER) Stress and Activating Autophagy. Frontiers in Molecular Neuroscience. 11. 120–120. 46 indexed citations
17.
Su, Cunjin, Yu Feng, Xu Liu, et al.. (2017). Thioredoxin‐interacting protein induced α‐synuclein accumulation via inhibition of autophagic flux: Implications for Parkinson's disease. CNS Neuroscience & Therapeutics. 23(9). 717–723. 49 indexed citations
18.
Su, Cunjin, Min Jiang, Aiming Shi, et al.. (2016). Fenofibrate inhibited pancreatic cancer cells proliferation via activation of p53 mediated by upregulation of LncRNA MEG3. Biochemical and Biophysical Research Communications. 471(2). 290–295. 71 indexed citations
19.
Lu, Ming, Cunjin Su, Qiao Chen, et al.. (2016). Metformin Prevents Dopaminergic Neuron Death in MPTP/P-Induced Mouse Model of Parkinson’s Disease via Autophagy and Mitochondrial ROS Clearance. The International Journal of Neuropsychopharmacology. 19(9). pyw047–pyw047. 204 indexed citations
20.
Su, Cunjin, Aiming Shi, Tao Tao, et al.. (2015). Fenofibrate suppressed proliferation and migration of human neuroblastoma cells via oxidative stress dependent of TXNIP upregulation. Biochemical and Biophysical Research Communications. 460(4). 983–988. 25 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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