Weiqiong Gu

4.2k citations
63 papers · 1.6k indexed · 1 hit paper · h-index 23
Topics
Pancreatic function and diabetes (12 papers)Diabetes and associated disorders (11 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers)

In The Last Decade

Weiqiong Gu

61 papers receiving 1.6k citations

Hit Papers

Stronger association of triglyceride glucose index than t...202120262022202420214080120

Peers

Weiqiong Gu
Comparison fields: 5 of 111
  • Endocrinology, Diabetes and Metabolism 529
  • Molecular Biology 468
  • Epidemiology 373
  • Cardiology and Cardiovascular Medicine 287
  • Surgery 279
Replace Mehmood Khan with:
Mehmood Khan United States
Guoyue Yuan China
Guijun Qin China
Ilaria Ferrari Italy
Wael Hamouda United States
Alina Kuryłowicz Poland
Dae Sung Kim South Korea
Linjie Wang China
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Thomas Gautier France
Weiqiong Gu relative to Mehmood Khan United States Mehmood Khan's profile →
Citations per field
00.5×4.5×
Mehmood Khan · 1×
Citations per year

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
#WorkIndexed citations
1 12
2 0
3 5
4 9
5
Stronger association of triglyceride glucose index than the HOMA-IR with arterial stiffness in patients with type 2 diabetes: a real-world single-centre studybreakdown →
142
6 3
7 5
8 7
9 1
10 34
11 58
12 15
13 2
14 13
15 35
16 1
17 53
18 3
19 11
20 7

About Weiqiong Gu

Weiqiong Gu is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Genetics, having authored 63 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (12 papers), Diabetes and associated disorders (11 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (529 citations), Reproductive Medicine (130 citations) and Cardiology and Cardiovascular Medicine (287 citations). Weiqiong Gu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yifei Zhang, Weiqing Wang, Jie Hong, Guang Ning, Juan Shi, Guang Ning, Jie Hong, Min Xu, Qun Yan and Yanan Cao. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

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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