Cong Pang

653 total citations
32 papers, 505 citations indexed

About

Cong Pang is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Cong Pang has authored 32 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Neurology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Cong Pang's work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Intracranial Aneurysms: Treatment and Complications (4 papers) and Stress Responses and Cortisol (4 papers). Cong Pang is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Intracranial Aneurysms: Treatment and Complications (4 papers) and Stress Responses and Cortisol (4 papers). Cong Pang collaborates with scholars based in China, United States and Bahrain. Cong Pang's co-authors include Qi-Zhi Su, Xueguang Shao, Lianshu Ding, Xi Jiang, Jianchun Pan, Xuefeng Yu, Ying Xu, Ji Liu, Chongbin Wang and Furong Tian and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Frontiers in Immunology.

In The Last Decade

Cong Pang

29 papers receiving 502 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cong Pang China 11 157 100 78 73 72 32 505
Xinjian Qiu China 13 233 1.5× 108 1.1× 67 0.9× 47 0.6× 61 0.8× 29 513
Jingjiao Yong China 10 285 1.8× 147 1.5× 84 1.1× 38 0.5× 80 1.1× 15 607
Manas Kinra India 15 176 1.1× 113 1.1× 67 0.9× 62 0.8× 48 0.7× 30 546
Ming Bai China 15 275 1.8× 102 1.0× 70 0.9× 70 1.0× 62 0.9× 62 615
Sachiko Imamura Japan 16 216 1.4× 57 0.6× 68 0.9× 100 1.4× 18 0.3× 25 669
Iwona Piątkowska‐Chmiel Poland 15 167 1.1× 119 1.2× 64 0.8× 175 2.4× 59 0.8× 46 647
Huiyong Huang China 18 357 2.3× 67 0.7× 48 0.6× 55 0.8× 37 0.5× 42 766
Lara M. Gomes Brazil 13 171 1.1× 95 0.9× 33 0.4× 116 1.6× 28 0.4× 28 536
Qingshan Liu China 14 147 0.9× 46 0.5× 74 0.9× 54 0.7× 20 0.3× 30 430
Zhiheng Huang China 14 273 1.7× 72 0.7× 76 1.0× 38 0.5× 27 0.4× 24 765

Countries citing papers authored by Cong Pang

Since Specialization
Citations

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

Fields of papers citing papers by Cong Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Pang. A scholar is included among the top collaborators of Cong Pang 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 Cong Pang. Cong Pang 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.
Zhang, Haoran, Long Yuan, Cong Pang, et al.. (2025). Relationship between impaired cerebral lymphatic function and iron deposition, blood flow in VaD: a clinical MRI study. Frontiers in Neuroscience. 19. 1666038–1666038.
2.
Pang, Cong, et al.. (2025). An attention-guided graph neural network and U-Net++-based reservoir porosity prediction system. 34(4). 70–70. 1 indexed citations
3.
Zhang, Xiaotian, Jun Li, Changchun Cao, et al.. (2024). Nrf2 activation by neferine mitigates microglial neuroinflammation after subarachnoid hemorrhage through inhibiting TAK1-NF-κB signaling. International Immunopharmacology. 130. 111693–111693. 7 indexed citations
4.
Li, Shaoxun, et al.. (2024). Protection of blood-brain barrier by endothelial DAPK1 deletion after stroke. Biochemical and Biophysical Research Communications. 724. 150216–150216. 3 indexed citations
5.
Zhang, Xiaotian, et al.. (2023). Gamma frequency entrainment rescues cognitive impairment by decreasing postsynaptic transmission after traumatic brain injury. CNS Neuroscience & Therapeutics. 29(4). 1142–1153. 10 indexed citations
6.
Wang, Weihan, Cong Pang, Jiaxing Zhang, et al.. (2023). Takinib inhibits microglial M1 polarization and oxidative damage after subarachnoid hemorrhage by targeting TAK1-dependent NLRP3 inflammasome signaling pathway. Frontiers in Immunology. 14. 1266315–1266315. 11 indexed citations
7.
Pang, Cong, Huasheng Zhang, Yongyue Gao, et al.. (2023). Peroxiredoxin 2 Is a Potential Objective Indicator for Severity and the Clinical Status of Subarachnoid Hemorrhage Patients. Disease Markers. 2023. 1–10. 5 indexed citations
8.
Li, Xiaojian, Cong Pang, Zong Zhuang, et al.. (2023). Dihydromyricetin confers cerebroprotection against subarachnoid hemorrhage via the Nrf2-dependent Prx2 signaling cascade. Phytomedicine. 119. 154997–154997. 13 indexed citations
9.
Pang, Cong, Xiaojian Li, Huasheng Zhang, et al.. (2023). Intimal Injury Potentially Plays a Key Role in the Formation of Carotid Artery Dissection: A Novel Animal Model Establishing. Cerebrovascular Diseases. 53(2). 224–232. 1 indexed citations
10.
Li, Xiaojian, Cong Pang, Juan Wang, et al.. (2023). Hydrogen inhalation therapy regulates lactic acid metabolism following subarachnoid hemorrhage through the HIF-1α pathway. Biochemical and Biophysical Research Communications. 663. 192–201. 8 indexed citations
11.
Gao, Xuan, Yongyue Gao, Huiying Yan, et al.. (2021). PDK4 Decrease Neuronal Apoptosis via Inhibiting ROS-ASK1/P38 Pathway in Early Brain Injury After Subarachnoid Hemorrhage. Antioxidants and Redox Signaling. 36(7-9). 505–524. 34 indexed citations
12.
Jia, Yewei, Cong Pang, Jiawei Jiang, et al.. (2019). Garcinol Suppresses IL-1β-Induced Chondrocyte Inflammation and Osteoarthritis via Inhibition of the NF-κB Signaling Pathway. Inflammation. 42(5). 1754–1766. 37 indexed citations
13.
Jiang, Xi, Ziwei Chen, Jiajia Zhang, et al.. (2018). Role of the indoleamine-2,3-dioxygenase/kynurenine pathway of tryptophan metabolism in behavioral alterations in a hepatic encephalopathy rat model. Journal of Neuroinflammation. 15(1). 3–3. 37 indexed citations
14.
15.
Pang, Cong, et al.. (2015). The allele frequency of CYP2A6*4 in four ethnic groups of China. Experimental and Molecular Pathology. 98(3). 546–548. 6 indexed citations
16.
Pang, Cong, Fan Wu, Li Wang, et al.. (2015). The effect of trans-resveratrol on post-stroke depression via regulation of hypothalamus–pituitary–adrenal axis. Neuropharmacology. 97. 447–456. 63 indexed citations
17.
Liu, Jinhui, et al.. (2014). Single tube genotyping of CYP2A6 gene deletion based on copy number determination by quantitative real-time PCR. Experimental and Molecular Pathology. 97(3). 529–534. 4 indexed citations
18.
Chen, Jianliang, Dan Lin, Chong Zhang, et al.. (2014). Antidepressant-like effects of ferulic acid: involvement of serotonergic and norepinergic systems. Metabolic Brain Disease. 30(1). 129–136. 68 indexed citations
19.
Jiang, Jian, Xiaoyang Sun, Weijie Wang, et al.. (2014). Attention dysfunction of postoperative patients with glioma. World Journal of Surgical Oncology. 12(1). 317–317. 10 indexed citations
20.
Shao, Xueguang, Cong Pang, & Qi-Zhi Su. (2000). A novel method to calculate the approximate derivative photoacoustic spectrum using continuous wavelet transform. Fresenius Journal of Analytical Chemistry. 367(6). 525–529. 58 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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