Guixia Wang

10.8k total citations · 1 hit paper
157 papers, 3.8k citations indexed

About

Guixia Wang is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Guixia Wang has authored 157 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 37 papers in Endocrinology, Diabetes and Metabolism and 29 papers in Physiology. Recurrent topics in Guixia Wang's work include Diet and metabolism studies (15 papers), Cancer-related Molecular Pathways (10 papers) and Diabetes Treatment and Management (9 papers). Guixia Wang is often cited by papers focused on Diet and metabolism studies (15 papers), Cancer-related Molecular Pathways (10 papers) and Diabetes Treatment and Management (9 papers). Guixia Wang collaborates with scholars based in China, United States and Hong Kong. Guixia Wang's co-authors include Xiaokun Gang, Khalil Ahmed, Kashif Ahmad, Xue Zhao, Shuo Yang, Gretchen M. Unger, Joel W. Slaton, Lin Sun, You Lv and Yujia Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Guixia Wang

149 papers receiving 3.7k citations

Hit Papers

The Alterations in and the Role of the Th17/Treg Balance ... 2021 2026 2022 2024 2021 50 100 150
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. The Alterations in and the Role of the Th17/Treg Balance in Metabolic Diseases
    2021 170 citations Siwen Zhang, Xiaokun Gang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guixia Wang China 34 1.7k 705 517 390 372 157 3.8k
Dongmei Zhang China 36 1.5k 0.9× 424 0.6× 542 1.0× 487 1.2× 262 0.7× 206 3.6k
Kevin N. Keane Australia 28 1.2k 0.7× 932 1.3× 615 1.2× 492 1.3× 327 0.9× 54 4.3k
Hong Sun China 38 1.4k 0.8× 622 0.9× 331 0.6× 323 0.8× 212 0.6× 181 5.1k
Peter Kružliak Czechia 39 1.7k 1.0× 578 0.8× 360 0.7× 491 1.3× 386 1.0× 221 5.0k
Yong Xu China 37 1.9k 1.1× 871 1.2× 691 1.3× 487 1.2× 186 0.5× 140 4.0k
Uta Ceglarek Germany 42 2.1k 1.2× 871 1.2× 746 1.4× 510 1.3× 289 0.8× 200 5.3k
Jing Ma China 25 887 0.5× 552 0.8× 474 0.9× 317 0.8× 288 0.8× 97 3.9k
Daniela Weber Germany 35 1.7k 1.0× 1.2k 1.7× 543 1.1× 567 1.5× 162 0.4× 90 5.3k
C. Kennedy Canada 41 1.7k 1.0× 676 1.0× 503 1.0× 278 0.7× 202 0.5× 118 4.7k
Massimo Fini Italy 40 1.2k 0.7× 700 1.0× 1.1k 2.2× 622 1.6× 243 0.7× 126 5.0k

Countries citing papers authored by Guixia Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guixia Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guixia Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Guixia Wang. A scholar is included among the top collaborators of Guixia Wang 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 Guixia Wang. Guixia Wang 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.
Meng, Qingpeng, Caiqing Yan, Tianle Zhang, et al.. (2023). Variations of PM2.5-bound elements and their associated effects during long-distance transport of dust storms: Insights from multi-sites observations. The Science of The Total Environment. 889. 164062–164062. 11 indexed citations
2.
Gang, Xiaokun, et al.. (2023). Causality between sarcopenia and diabetic nephropathy: a bidirectional Mendelian randomization study. Frontiers in Endocrinology. 14. 1188972–1188972. 7 indexed citations
3.
Wang, Xiaobo, Jun Pu, Guixia Wang, et al.. (2023). Efficacy and safety analysis of angiotensin receptor neprilysin inhibition(ARNI)in patients with heart failure: a real-world retrospective study. BMC Cardiovascular Disorders. 23(1). 343–343. 2 indexed citations
4.
Wang, Yao, et al.. (2023). Mechanisms of bariatric surgery for weight loss and diabetes remission. Journal of Diabetes. 15(9). 736–752. 14 indexed citations
5.
Liu, Xinming, et al.. (2022). Thyroid storm complicated by corpus callosum infarction in a young patient: A case report and literature review. Medicine. 101(34). e30318–e30318. 1 indexed citations
6.
Yang, Shuo, et al.. (2022). The Role of Glucagon-Like Peptide-1 Receptor Agonists (GLP-1 RA) in Diabetes-Related Neurodegenerative Diseases. SHILAP Revista de lepidopterología. 49 indexed citations
7.
Wang, Guixia, Huimin Tian, Chang Shu, et al.. (2022). Human Growth Hormone Supplement Promotes Human Lymphohematopoietic Cell Reconstitution in Immunodeficient Mice. Immunotherapy. 14(17). 1383–1392. 2 indexed citations
8.
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Sun, Lin, et al.. (2020). The crucial role of early-life gut microbiota in the development of type 1 diabetes. Acta Diabetologica. 58(3). 249–265. 14 indexed citations
10.
Sun, Lin, et al.. (2020). Two to Tango: Dialogue between Adaptive and Innate Immunity in Type 1 Diabetes. Journal of Diabetes Research. 2020. 1–9. 22 indexed citations
11.
Sun, Lin, Xiaokun Gang, You Lv, et al.. (2020). Risk Factors for Cognitive Impairment in Patients with Type 2 Diabetes. Journal of Diabetes Research. 2020. 1–10. 60 indexed citations
12.
Xiao, Xianchao, et al.. (2020). Effects of bariatric surgery in Chinese with obesity and type 2 diabetes mellitus. Medicine. 99(34). e21673–e21673. 4 indexed citations
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Xing, Yanpeng, et al.. (2018). Impaired Glucose Metabolisms of Patients with Obstructive Sleep Apnea and Type 2 Diabetes. Journal of Diabetes Research. 2018. 1–9. 21 indexed citations
16.
Lv, You, Zi Yan, Xue Zhao, et al.. (2018). The effects of gut microbiota on metabolic outcomes in pregnant women and their offspring. Food & Function. 9(9). 4537–4547. 25 indexed citations
17.
Zhou, Tong, Zheng Hu, Shuo Yang, et al.. (2018). Role of Adaptive and Innate Immunity in Type 2 Diabetes Mellitus. Journal of Diabetes Research. 2018. 1–9. 160 indexed citations
18.
Cao, Yue, Zi Yan, Tong Zhou, & Guixia Wang. (2017). SIRT1 Regulates Cognitive Performance and Ability of Learning and Memory in Diabetic and Nondiabetic Models. Journal of Diabetes Research. 2017. 1–11. 37 indexed citations
19.
Zhao, Xue, Qing Han, Yujia Liu, et al.. (2016). The Relationship between Branched-Chain Amino Acid Related Metabolomic Signature and Insulin Resistance: A Systematic Review. Journal of Diabetes Research. 2016. 1–12. 134 indexed citations
20.
Zhao, Xue, Xiaokun Gang, Yujia Liu, et al.. (2016). Using Metabolomic Profiles as Biomarkers for Insulin Resistance in Childhood Obesity: A Systematic Review. Journal of Diabetes Research. 2016. 1–12. 50 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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