Weiqiong Gu

4.2k total citations · 1 hit paper
63 papers, 1.6k citations indexed

About

Weiqiong Gu is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Molecular Biology. According to data from OpenAlex, Weiqiong Gu has authored 63 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Endocrinology, Diabetes and Metabolism, 18 papers in Epidemiology and 16 papers in Molecular Biology. Recurrent topics in Weiqiong Gu's work include Pancreatic function and diabetes (12 papers), Diabetes and associated disorders (11 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers). Weiqiong Gu is often cited by papers focused on Pancreatic function and diabetes (12 papers), Diabetes and associated disorders (11 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers). Weiqiong Gu collaborates with scholars based in China, United States and Australia. Weiqiong Gu's co-authors include Yifei Zhang, Weiqing Wang, Jie Hong, Guang Ning, Juan Shi, Guang Ning, Jie Hong, Min Xu, Qun Yan and Yanan Cao and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Weiqiong Gu

61 papers receiving 1.6k citations

Hit Papers

Stronger association of triglyceride glucose index than t... 2021 2026 2022 2024 2021 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Stronger association of triglyceride glucose index than the HOMA-IR with arterial stiffness in patients with type 2 diabetes: a real-world single-centre study
    2021 142 citations Shujie Wang, Juan Shi et al. Cardiovascular Diabetology profile →

Peers

Weiqiong Gu
Ilaria Ferrari Italy
Guijun Qin China
Guoyue Yuan China
Dae Sung Kim South Korea
Omar Elfeky United States
Tufail Syed United States
Shanmei Shen China
Andrea Iorga United States
Wael Hamouda United States
Yu Hu China
Ilaria Ferrari Italy
Weiqiong Gu
Citations per year, relative to Weiqiong Gu Weiqiong Gu (= 1×) peers Ilaria Ferrari

Countries citing papers authored by Weiqiong Gu

Since Specialization
Citations

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

Fields of papers citing papers by Weiqiong Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiqiong Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Weiqiong Gu. A scholar is included among the top collaborators of Weiqiong 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 Weiqiong Gu. Weiqiong 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.
2.
Yuan, Miaomiao, Shaoqian Zhao, Yufei Chen, et al.. (2023). Association of iron status with all-cause and cause-specific mortality in individuals with diabetes. Diabetes Research and Clinical Practice. 207. 111058–111058.
3.
Liu, Cong, Jia Zhang, Xing Wei, et al.. (2023). Effects of sleep duration and changes in body mass index on diabetic kidney disease: a prospective cohort study. Frontiers in Endocrinology. 14. 1278665–1278665. 5 indexed citations
4.
Fang, Qianhua, Juan Shi, Ying Peng, et al.. (2023). Visit-to-visit HbA1c variability is associated with aortic stiffness progression in participants with type 2 diabetes. Cardiovascular Diabetology. 22(1). 167–167. 9 indexed citations
5.
Wang, Shujie, Juan Shi, Ying Peng, et al.. (2021). Stronger association of triglyceride glucose index than the HOMA-IR with arterial stiffness in patients with type 2 diabetes: a real-world single-centre study. Cardiovascular Diabetology. 20(1). 82–82. 142 indexed citations breakdown →
6.
Wang, Weiqing, Zhongyan Shan, Guang Wang, et al.. (2020). Expert recommendations for diabetes with or without COVID-19 management in communities. Zhonghua neifenmi daixie zazhi. 36(3). 185–190. 3 indexed citations
7.
Gao, Aibo, Bin Gu, Juan Zhang, et al.. (2020). Missense Variants in PAX4 Are Associated with Early-Onset Diabetes in Chinese. Diabetes Therapy. 12(1). 289–300. 5 indexed citations
8.
Gu, Weiqiong, Yufei Chen, Xuelin Li, et al.. (2019). The impact of shift work on glycemic characteristics assessed by CGM and its association with metabolic indices in non-diabetic subjects. Acta Diabetologica. 57(1). 53–61. 7 indexed citations
9.
Zhao, Dandan, Shaoqian Zhao, Xiao Wang, et al.. (2018). Clinical and Physiological Characterization of Elevated Plasma Glucagon-Like Peptide-1 Levels (Hyperglipemia) in a Dipeptidyl Peptidase IV Mutation Carrier. Frontiers in Endocrinology. 9. 62–62. 1 indexed citations
10.
Shi, Guojun, Chen Sun, Weiqiong Gu, et al.. (2014). Free fatty acid receptor 2, a candidate target for type 1 diabetes, induces cell apoptosis through ERK signaling. Journal of Molecular Endocrinology. 53(3). 367–380. 34 indexed citations
11.
Gu, Weiqiong, Jiong Hu, Weiqing Wang, et al.. (2012). Diabetic Ketoacidosis at Diagnosis Influences Complete Remission After Treatment With Hematopoietic Stem Cell Transplantation in Adolescents With Type 1 Diabetes. Diabetes Care. 35(7). 1413–1419. 58 indexed citations
12.
13.
Gu, Weiqiong, Shouyue Sun, Jie Hong, et al.. (2010). Efficacy and safety of autologous hematopoietic stem cell transplantation in treating type 1 diabetes mellitus. Zhonghua neifenmi daixie zazhi. 26(12). 1023–1026. 2 indexed citations
14.
15.
Huang, Yun, Yuhong Chen, Min Xu, et al.. (2010). Low-Grade Albuminuria Is Associated with Carotid Intima-Media Thickness in Chinese Type 2 Diabetic Patients. The Journal of Clinical Endocrinology & Metabolism. 95(11). 5122–5128. 35 indexed citations
16.
Zhou, Guangwen, Wei Yao, Xi Chen, et al.. (2010). Multiple Endocrine Neoplasia Type 1 Simultaneous With Various Types of Enteropancreatic Endocrine Tumors. Pancreas. 39(5). 680–683. 1 indexed citations
17.
Chen, Yuhong, Yun Huang, Min Xu, et al.. (2009). Association of arterial stiffness with HbA1c in 1,000 type 2 diabetic patients with or without hypertension. Endocrine. 36(2). 262–267. 53 indexed citations
18.
Hong, Jie, Yifei Zhang, Weiqiong Gu, et al.. (2008). Insulin sensitivity and first-phase insulin secretion in obese Chinese with hyperglycemia in 30 and/or 60 min during glucose tolerance tests. Endocrine. 34(1-3). 75–80. 3 indexed citations
19.
Yang, Yisheng, Jie Hong, Weiqiong Gu, et al.. (2007). Interleukin-18 enhances glucose uptake in 3T3-L1 adipocytes. Endocrine. 32(3). 297–302. 11 indexed citations
20.
Hong, Jie, Jun Yang, Huijie Zhang, et al.. (2007). Clinical and genetic analysis for a Chinese family with hereditary fructose intolerance. Endocrine. 32(1). 122–126. 7 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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