Ning Guo

450 total citations
9 papers, 354 citations indexed

About

Ning Guo is a scholar working on Immunology, Molecular Biology and Surgery. According to data from OpenAlex, Ning Guo has authored 9 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Surgery. Recurrent topics in Ning Guo's work include Adenosine and Purinergic Signaling (2 papers), Immune cells in cancer (2 papers) and Cholesterol and Lipid Metabolism (1 paper). Ning Guo is often cited by papers focused on Adenosine and Purinergic Signaling (2 papers), Immune cells in cancer (2 papers) and Cholesterol and Lipid Metabolism (1 paper). Ning Guo collaborates with scholars based in China, Singapore and United States. Ning Guo's co-authors include Zuyi Yuan, Juan Zhou, Yue Wu, Lijun Wang, Qiang Zhao, Peining Liu, Yan Wu, Yan Shen, Qiyue Gao and Yan Liu and has published in prestigious journals such as The FASEB Journal, Biochemical and Biophysical Research Communications and American Journal of Physiology-Cell Physiology.

In The Last Decade

Ning Guo

9 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ning Guo China	8	170	138	48	47	40	9	354
Yuanzheng Yang United States	12	110 0.6×	167 1.2×	53 1.1×	37 0.8×	22 0.6×	24	402
Saeideh Hajighasemi Iran	9	66 0.4×	124 0.9×	43 0.9×	78 1.7×	57 1.4×	11	320
Rajiv Lochan Tiwari India	9	150 0.9×	151 1.1×	10 0.2×	81 1.7×	27 0.7×	11	385
Pan Ren China	9	68 0.4×	154 1.1×	18 0.4×	44 0.9×	27 0.7×	11	328
Robert D. Thurston United States	8	119 0.7×	187 1.4×	41 0.9×	114 2.4×	7 0.2×	8	484
Nanwen Zhang China	11	41 0.2×	129 0.9×	34 0.7×	41 0.9×	8 0.2×	29	359
Shu-Yuan Hsu Taiwan	13	48 0.3×	232 1.7×	13 0.3×	45 1.0×	32 0.8×	36	448
Luigi Mari United States	7	94 0.6×	209 1.5×	37 0.8×	62 1.3×	5 0.1×	12	356
Raghubendra Singh Dagur United States	13	74 0.4×	269 1.9×	56 1.2×	17 0.4×	12 0.3×	26	528
Thiranut Jaroonwitchawan Thailand	12	105 0.6×	240 1.7×	52 1.1×	52 1.1×	4 0.1×	16	459

Countries citing papers authored by Ning Guo

Since Specialization

Citations

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

Fields of papers citing papers by Ning Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Guo

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

All Works

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9 of 9 papers shown

Guo, Ning, et al.. (2020). MiR-542-5p regulates the progression of diabetic retinopathy by targeting CARM1. Acta Biochimica Polonica. 67(3). 373–378. 9 indexed citations

Zhang, Yan, Ying Wang, Dong Zhou, et al.. (2019). Angiotensin II deteriorates advanced atherosclerosis by promoting MerTK cleavage and impairing efferocytosis through the AT₁R/ROS/p38 MAPK/ADAM17 pathway. American Journal of Physiology-Cell Physiology. 317(4). C776–C787. 58 indexed citations

Fang, Yuan, Yan Zhao, Shaohua He, et al.. (2018). Overexpression of FGF19 alleviates hypoxia/reoxygenation-induced injury of cardiomyocytes by regulating GSK-3β/Nrf2/ARE signaling. Biochemical and Biophysical Research Communications. 503(4). 2355–2362. 20 indexed citations

Zhao, Qiang, Dong Zhou, Bowen Lou, et al.. (2017). IFN‐γ aggravates neointimal hyperplasia by inducing endoplasmic reticulum stress and apoptosis in macrophages by promoting ubiquitin‐dependent liver X receptor‐α degradation. The FASEB Journal. 31(12). 5321–5331. 13 indexed citations

Zhang, Hong, et al.. (2016). Reduced expression of HCN channels in the sinoatrial node of streptozotocin-induced diabetic rats. Canadian Journal of Physiology and Pharmacology. 95(5). 586–594. 12 indexed citations

Gao, Shanshan, Juan Zhou, Na Liu, et al.. (2015). Curcumin induces M2 macrophage polarization by secretion IL-4 and/or IL-13. Journal of Molecular and Cellular Cardiology. 85. 131–139. 180 indexed citations

Guo, Ning, et al.. (2015). Low-dose Exogenous Ouabain Alleviates Cardiac Lipotoxicity Through Suppressing Expression of CD36. Journal of Cardiovascular Pharmacology. 67(1). 39–46. 8 indexed citations

Chen, Fangyuan, et al.. (2014). Molecular Analysis of Curcumin-induced Polarization of Murine RAW264.7 Macrophages. Journal of Cardiovascular Pharmacology. 63(6). 544–552. 50 indexed citations

Xie, Zhigang, Mengchen Shi, Huimin Lu, et al.. (2008). A New Strategy to Induce Effective Antitumour Response In Vitro and In Vivo. Scandinavian Journal of Immunology. 68(3). 287–296. 4 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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