Ping Gu

1.6k total citations
48 papers, 1.2k citations indexed

About

Ping Gu is a scholar working on Epidemiology, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ping Gu has authored 48 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 16 papers in Physiology and 15 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ping Gu's work include Adipokines, Inflammation, and Metabolic Diseases (14 papers), Adipose Tissue and Metabolism (13 papers) and Diabetes Management and Research (9 papers). Ping Gu is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (14 papers), Adipose Tissue and Metabolism (13 papers) and Diabetes Management and Research (9 papers). Ping Gu collaborates with scholars based in China, Hong Kong and New Zealand. Ping Gu's co-authors include Aimin Xu, Xiaoyan Hui, Bin Lü, Yu Wang, Tao Nie, Donghai Wu, Jiaqing Shao, Tianshi Feng, Cheng Zhong and Karen S.L. Lam and has published in prestigious journals such as Nature Communications, Cell Metabolism and Diabetes.

In The Last Decade

Ping Gu

43 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Gu China 18 533 497 291 226 187 48 1.2k
Reşat Ünal United States 12 647 1.2× 593 1.2× 401 1.4× 263 1.2× 133 0.7× 20 1.4k
Rocío Vila‐Bedmar Spain 19 485 0.9× 424 0.9× 537 1.8× 213 0.9× 201 1.1× 32 1.2k
Sanshiro Tateya United States 14 404 0.8× 397 0.8× 391 1.3× 137 0.6× 161 0.9× 17 1.2k
Leire Méndez-Giménez Spain 19 871 1.6× 556 1.1× 501 1.7× 210 0.9× 210 1.1× 28 1.6k
Paula M. Miotto Canada 19 593 1.1× 455 0.9× 548 1.9× 140 0.6× 211 1.1× 36 1.3k
Miki Okada‐Iwabu Japan 18 731 1.4× 921 1.9× 649 2.2× 240 1.1× 183 1.0× 29 1.8k
Christophe Noll Canada 21 883 1.7× 355 0.7× 293 1.0× 340 1.5× 208 1.1× 53 1.6k
Silvia Gogg Sweden 13 935 1.8× 738 1.5× 671 2.3× 269 1.2× 159 0.9× 18 1.7k
Melissa G. Farb United States 21 597 1.1× 516 1.0× 529 1.8× 456 2.0× 163 0.9× 33 1.5k
Rocío Guzmán‐Ruiz Spain 17 420 0.8× 313 0.6× 351 1.2× 238 1.1× 150 0.8× 40 1.2k

Countries citing papers authored by Ping Gu

Since Specialization
Citations

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

Fields of papers citing papers by Ping Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Gu. A scholar is included among the top collaborators of Ping Gu 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 Ping Gu. Ping Gu 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.
Hua, Shuang, Lingling Sun, Han Zhang, et al.. (2025). Yiqi Wenyang decoction protects against the development of atherosclerosis by inhibiting vascular inflammation. Pharmaceutical Biology. 63(1). 264–274.
2.
Liang, Jingjing, Wenwen Jiang, Wei Wang, et al.. (2024). Stronger association between morning serum cortisol level and diurnal time in range in type 2 diabetes?. Diabetology & Metabolic Syndrome. 16(1). 2 indexed citations
3.
Gu, Ping, Kai Ding, Lei Lu, et al.. (2023). Compromised browning in white adipose tissue of ageing people. European Journal of Endocrinology. 188(2). 226–235. 4 indexed citations
4.
Feng, Tianshi, Xuemei Zhao, Ping Gu, et al.. (2022). Adipocyte-derived lactate is a signalling metabolite that potentiates adipose macrophage inflammation via targeting PHD2. Nature Communications. 13(1). 5208–5208. 104 indexed citations
5.
Liu, Yanyu, Zhen Zhang, Xinyi Yang, et al.. (2022). The association between time in the glucose target range and abnormal ankle-brachial index: a cross-sectional analysis. Cardiovascular Diabetology. 21(1). 281–281. 6 indexed citations
6.
Gu, Ping, Xiaoyan Hui, Qiantao Zheng, et al.. (2021). Mitochondrial uncoupling protein 1 antagonizes atherosclerosis by blocking NLRP3 inflammasome–dependent interleukin-1β production. Science Advances. 7(50). eabl4024–eabl4024. 39 indexed citations
7.
Chu, Miao, et al.. (2021). Analysis of Serum Vitamin D Level and Related Factors in Patients With Restless Legs Syndrome. Frontiers in Neurology. 12. 782565–782565. 13 indexed citations
8.
Lü, Bin, Wei Wang, Hui Zhou, et al.. (2021). Time in range, as an emerging metric of glycemic control, is associated with orthostatic blood pressure changes in type 2 diabetes. Diabetes Research and Clinical Practice. 183. 109179–109179. 2 indexed citations
9.
10.
Gu, Ping, Wei Wang, Yue Yao, et al.. (2019). Increased Circulating Chemerin in Relation to Chronic Microvascular Complications in Patients with Type 2 Diabetes. International Journal of Endocrinology. 2019. 1–11. 19 indexed citations
11.
Huang, Jingjing, He Li, Xiaoxiao Zhang, et al.. (2019). YQWY decoction reverses cardiac hypertrophy induced by TAC through inhibiting GATA4 phosphorylation and MAPKs. Chinese Journal of Natural Medicines. 17(10). 746–755. 7 indexed citations
12.
Li, Ke, Xia Wu, Pu Zang, et al.. (2018). Associations of serum glucagon levels with glycemic variability in type 1 diabetes with different disease durations. Endocrine. 61(3). 473–481. 15 indexed citations
13.
Hui, Xiaoyan, Mingliang Zhang, Ping Gu, et al.. (2017). Adipocyte SIRT 1 controls systemic insulin sensitivity by modulating macrophages in adipose tissue. EMBO Reports. 18(4). 645–657. 74 indexed citations
14.
Nie, Baoming, Tao Nie, Xiaoyan Hui, et al.. (2017). Brown Adipogenic Reprogramming Induced by a Small Molecule. Cell Reports. 18(3). 624–635. 53 indexed citations
15.
16.
Wang, Jun, Weimin Jiang, Yong Zhong, et al.. (2013). Xuezhikang Attenuated the Functional and Morphological Impairment of Pancreatic Islets in Diabetic Mice Via the Inhibition of Oxidative Stress. Journal of Cardiovascular Pharmacology. 63(3). 282–289. 10 indexed citations
17.
Gu, Ping, Weimin Jiang, Bin Lü, et al.. (2012). Glucose Metabolism in Outpatients with New-Onset Hypertension in Chinese Han Population. Clinical and Experimental Hypertension. 34(7). 474–481. 8 indexed citations
18.
Gu, Ping, et al.. (2010). [Relationship between metabolic syndrome and general habits in daily life].. PubMed. 30(6). 1313–5. 2 indexed citations
19.
Gu, Ping, Wenxiu Liu, Jiaqing Shao, et al.. (2010). Protein tyrosine phosphatase 1B gene polymorphisms and obesity-related hypertension: a case-control study in Chinese population.. 14(5). 442–446. 1 indexed citations
20.
Gu, Ping. (2007). Association of c.553G>T polymorphism in the apolipoprotein A5 gene with coronary heart disease and the levels of serum lipid. Zhonghua jianyan yixue zazhi. 1 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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