Pan Gao

1.0k total citations
28 papers, 760 citations indexed

About

Pan Gao is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Pan Gao has authored 28 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Immunology and 8 papers in Cancer Research. Recurrent topics in Pan Gao's work include Atherosclerosis and Cardiovascular Diseases (5 papers), NF-κB Signaling Pathways (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). Pan Gao is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (5 papers), NF-κB Signaling Pathways (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). Pan Gao collaborates with scholars based in China, United States and Sweden. Pan Gao's co-authors include Lan Huang, Jianfei Chen, Yang Yu, Hang Xiao, Shiyong Yu, Shengbo Han, Hui Wu, Wenxue Li, Ruiwei Guo and Hong Wang and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Pan Gao

27 papers receiving 756 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pan Gao China 16 345 116 85 82 80 28 760
Sudarsan Rajan United States 15 774 2.2× 60 0.5× 63 0.7× 111 1.4× 47 0.6× 20 1.0k
Erdene Baljinnyam United States 15 595 1.7× 68 0.6× 128 1.5× 88 1.1× 50 0.6× 17 888
Venkanna Pasham Germany 15 603 1.7× 101 0.9× 36 0.4× 109 1.3× 139 1.7× 25 1.1k
Zhiming Yang China 18 439 1.3× 125 1.1× 28 0.3× 85 1.0× 144 1.8× 60 972
Shyue-Fang Battaglia-Hsu France 19 538 1.6× 60 0.5× 95 1.1× 28 0.3× 146 1.8× 37 1.2k
Roman Ginnan United States 21 620 1.8× 165 1.4× 53 0.6× 120 1.5× 86 1.1× 29 1.0k
Aikaterini Anagnostopoulou United Kingdom 15 392 1.1× 187 1.6× 29 0.3× 219 2.7× 123 1.5× 21 1.1k
Jundong Jiao China 16 699 2.0× 43 0.4× 101 1.2× 110 1.3× 68 0.8× 37 1.0k
Yan‐Hua Du China 15 410 1.2× 59 0.5× 55 0.6× 146 1.8× 39 0.5× 26 682
Zekiye Altun Türkiye 16 202 0.6× 28 0.2× 98 1.2× 39 0.5× 33 0.4× 79 625

Countries citing papers authored by Pan Gao

Since Specialization
Citations

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

Fields of papers citing papers by Pan Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pan Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Pan Gao. A scholar is included among the top collaborators of Pan Gao 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 Pan Gao. Pan Gao 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
2.
Gao, Ping, Pan Gao, Jinjing Zhao, et al.. (2021). MKL1 cooperates with p38MAPK to promote vascular senescence, inflammation, and abdominal aortic aneurysm. Redox Biology. 41. 101903–101903. 42 indexed citations
3.
Meng, Zhaoyou, Rui‐Hua Xu, Lexing Xie, et al.. (2021). A20/Nrdp1 interaction alters the inflammatory signaling profile by mediating K48- and K63-linked polyubiquitination of effectors MyD88 and TBK1. Journal of Biological Chemistry. 297(1). 100811–100811. 15 indexed citations
4.
Zhang, Wei, Xiaoxiao Guo, Pan Gao, et al.. (2020). Mep1a contributes to Ang II-induced cardiac remodeling by promoting cardiac hypertrophy, fibrosis and inflammation. Journal of Molecular and Cellular Cardiology. 152. 52–68. 15 indexed citations
5.
Shen, Yi, et al.. (2018). Activation of adenosine A2b receptor attenuates high glucose-induced apoptosis in H9C2 cells via PI3K/Akt signaling. In Vitro Cellular & Developmental Biology - Animal. 54(5). 384–391. 8 indexed citations
6.
Tang, Gang, et al.. (2018). Klotho attenuates isoproterenol-induced hypertrophic response in H9C2 cells by activating Na+/K+-ATPase and inhibiting the reverse mode of Na+/Ca2+-exchanger. In Vitro Cellular & Developmental Biology - Animal. 54(3). 250–256. 10 indexed citations
7.
Meng, Zhaoyou, Pan Gao, Lin Chen, et al.. (2017). Artificial Zinc-Finger Transcription Factor of A20 Suppresses Restenosis in Sprague Dawley Rats after Carotid Injury via the PPARα Pathway. Molecular Therapy — Nucleic Acids. 8. 123–131. 11 indexed citations
8.
Lu, Ting, et al.. (2017). Resveratrol attenuates high glucose-induced endothelial cell apoptosis via mediation of store-operated calcium entry. Molecular and Cellular Biochemistry. 442(1-2). 73–80. 13 indexed citations
9.
Gao, Pan, Xianghe Qiao, Haibin Sun, et al.. (2017). Activated spleen tyrosine kinase promotes malignant progression of oral squamous cell carcinoma via mTOR/S6 signaling pathway in an ERK1/2-independent manner. Oncotarget. 8(48). 83900–83912. 13 indexed citations
10.
Gao, Pan, et al.. (2016). The CD4/CD8 ratio is associated with coronary artery disease (CAD) in elderly Chinese patients. International Immunopharmacology. 42. 39–43. 10 indexed citations
12.
Qian, Dehui, et al.. (2015). Down-regulation of mir-542-3p promotes neointimal formation in the aging rat. Vascular Pharmacology. 72. 118–129. 11 indexed citations
13.
Song, Shuang, Pan Gao, Hang Xiao, Yan Xu, & Lian Yi. (2013). Klotho Suppresses Cardiomyocyte Apoptosis in Mice with Stress-Induced Cardiac Injury via Downregulation of Endoplasmic Reticulum Stress. PLoS ONE. 8(12). e82968–e82968. 59 indexed citations
14.
Gao, Pan, Xiaomei Wang, Qiang Xu, et al.. (2012). Induction of oxidative stress by oxidized LDL via meprinα-activated epidermal growth factor receptor in macrophages. Cardiovascular Research. 97(3). 533–543. 37 indexed citations
15.
Xu, Yu, Yuliang Liu, Xia Chen, Pan Gao, & Junze Liu. (2012). Evidence for Involvement of Uncoupling Proteins in Cerebral Mitochondrial Oxidative Phosphorylation Deficiency of Rats Exposed to 5,000 m High Altitude. Neurochemical Research. 38(2). 282–289. 8 indexed citations
17.
Chen, Jianfei, Shiyong Yu, Pan Gao, et al.. (2009). Advanced glycation endproducts alter functions and promote apoptosis in endothelial progenitor cells through receptor for advanced glycation endproducts mediate overpression of cell oxidant stress. Molecular and Cellular Biochemistry. 335(1-2). 137–146. 87 indexed citations
18.
Chen, Jianfei, et al.. (2009). C-reactive Protein Upregulates Receptor for Advanced Glycation End Products Expression and Alters Antioxidant Defenses in Rat Endothelial Progenitor Cells. Journal of Cardiovascular Pharmacology. 53(5). 359–367. 36 indexed citations
19.
Wang, Hong, Yang Yu, Ruiwei Guo, et al.. (2009). Inhibitor of DNA binding-1 promotes the migration and proliferation of endothelial progenitor cells in vitro. Molecular and Cellular Biochemistry. 335(1-2). 19–27. 19 indexed citations
20.
Guo, Ruiwei, Hong Wang, Pan Gao, et al.. (2008). An essential role for stromal interaction molecule 1 in neointima formation following arterial injury. Cardiovascular Research. 81(4). 660–668. 75 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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