Huilin Tang

4.3k total citations
113 papers, 3.0k citations indexed

About

Huilin Tang is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Pharmacology. According to data from OpenAlex, Huilin Tang has authored 113 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Endocrinology, Diabetes and Metabolism, 21 papers in Molecular Biology and 18 papers in Pharmacology. Recurrent topics in Huilin Tang's work include Diabetes Treatment and Management (49 papers), Metabolism, Diabetes, and Cancer (13 papers) and Diabetes Management and Research (10 papers). Huilin Tang is often cited by papers focused on Diabetes Treatment and Management (49 papers), Metabolism, Diabetes, and Cancer (13 papers) and Diabetes Management and Research (10 papers). Huilin Tang collaborates with scholars based in United States, China and Australia. Huilin Tang's co-authors include Suodi Zhai, Tiansheng Wang, Yiqing Song, Weilong Shi, Jiali Han, HU Yong-fang, Dandan Li, Zhikang Ye, Su Shen and Zhenwei Fang and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Huilin Tang

108 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huilin Tang United States 31 1.2k 725 616 417 371 113 3.0k
José Luis Górriz Spain 32 1.2k 1.0× 489 0.7× 594 1.0× 241 0.6× 262 0.7× 190 3.7k
Bernhard M. W. Schmidt Germany 36 1.0k 0.9× 728 1.0× 989 1.6× 175 0.4× 513 1.4× 114 4.5k
José Gerardo González‐González Mexico 25 1.3k 1.0× 595 0.8× 573 0.9× 261 0.6× 489 1.3× 126 2.6k
María José Soler Spain 34 1.4k 1.2× 834 1.2× 752 1.2× 500 1.2× 296 0.8× 203 4.8k
Dave L. Dixon United States 30 782 0.6× 565 0.8× 977 1.6× 148 0.4× 265 0.7× 151 3.7k
Juan Pedro‐Botet Spain 39 1.8k 1.5× 549 0.8× 2.2k 3.6× 293 0.7× 664 1.8× 298 5.2k
Georgios Georgiopoulos Greece 38 779 0.6× 673 0.9× 766 1.2× 119 0.3× 857 2.3× 270 5.2k
Ciro Esposito Italy 33 543 0.4× 946 1.3× 752 1.2× 165 0.4× 449 1.2× 170 4.5k
Der‐Cherng Tarng Taiwan 37 478 0.4× 923 1.3× 705 1.1× 139 0.3× 479 1.3× 218 4.7k
Robert A. Phillips United States 31 1.1k 0.9× 368 0.5× 1.3k 2.1× 228 0.5× 239 0.6× 100 5.2k

Countries citing papers authored by Huilin Tang

Since Specialization
Citations

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

Fields of papers citing papers by Huilin Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huilin Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Huilin Tang. A scholar is included among the top collaborators of Huilin Tang 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 Huilin Tang. Huilin Tang 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.
Tang, Huilin, et al.. (2025). Caveolin-3: therapeutic target for diabetic myocardial ischemia/reperfusion injury. Molecular Medicine. 31(1). 80–80. 4 indexed citations
3.
Tang, Huilin, Ying Lü, William T. Donahoo, et al.. (2025). Glucagon-Like Peptide-1 Receptor Agonists and Risk for Depression in Older Adults With Type 2 Diabetes. Annals of Internal Medicine. 178(3). 315–326. 3 indexed citations
4.
Tang, Huilin, et al.. (2025). Cardiovascular and kidney outcomes of GLP ‐1 receptor agonists in adults with obesity: A target trial emulation study. Diabetes Obesity and Metabolism. 27(11). 6527–6536. 1 indexed citations
6.
Dai, Hao, Huilin Tang, William T. Donahoo, et al.. (2025). Association of Glucagon‐Like Peptide‐1 Receptor Agonists With Cancer Risk in Older Adults With Type 2 Diabetes. Obesity. 1 indexed citations
7.
Liu, Qiong, et al.. (2024). The buildability and flexural properties of 3D printed recycled mortar reinforced with synchronized steel cable under different reinforcement ratios. Journal of Building Engineering. 84. 108484–108484. 4 indexed citations
8.
Guo, Jingchuan, Huilin Tang, Hui Shao, et al.. (2024). Sodium‐glucose cotransporter 2 inhibitors and the risk of Parkinson disease in real‐world patients with type 2 diabetes. Diabetes Obesity and Metabolism. 26(12). 5727–5736. 4 indexed citations
9.
Tang, Huilin, William T. Donahoo, Mikael Svensson, et al.. (2024). Heterogeneous treatment effects of sodium‐glucose cotransporter 2 inhibitors on risk of dementia in people with type 2 diabetes: A population‐based cohort study. Alzheimer s & Dementia. 20(8). 5528–5539. 15 indexed citations
11.
Tang, Huilin, et al.. (2023). Ethnic Variations in Cardiovascular and Renal Outcomes From Newer Glucose‐Lowering Drugs: A Meta‐Analysis of Randomized Outcome Trials. Journal of the American Heart Association. 12(10). e026791–e026791. 1 indexed citations
12.
Tang, Huilin, Hui Shao, C. Elizabeth Shaaban, et al.. (2023). Newer glucose‐lowering drugs and risk of dementia: A systematic review and meta‐analysis of observational studies. Journal of the American Geriatrics Society. 71(7). 2096–2106. 60 indexed citations
14.
Tang, Huilin, et al.. (2022). The efficacy and safety of prophylactic antibiotics for post‐acute stroke infection: A systematic review and meta‐analysis. British Journal of Clinical Pharmacology. 89(3). 946–955. 5 indexed citations
15.
Hartman, Rebecca I., Huilin Tang, Dong Hang, et al.. (2020). Red Hair Color Is Associated with Elevated CRP Levels among US Women. Journal of Investigative Dermatology. 141(5). 1342–1344. 1 indexed citations
16.
Sun, Shusen, Jingkai Wei, Dandan Li, et al.. (2020). Dipeptidyl peptidase-4 inhibitors and risk of venous thromboembolism: data mining of FDA adverse event reporting system. International Journal of Clinical Pharmacy. 42(5). 1364–1368. 5 indexed citations
17.
Tang, Huilin, Weilong Shi, Yiqing Song, & Jiali Han. (2019). Voriconazole exposure and risk of cutaneous squamous cell carcinoma among lung or hematopoietic cell transplant patients: A systematic review and meta-analysis. 2 indexed citations
18.
Men, Peng, Xiaotong Li, Huilin Tang, & Suodi Zhai. (2018). Efficacy and safety of saxagliptin in patients with type 2 diabetes: A systematic review and meta-analysis. PLoS ONE. 13(5). e0197321–e0197321. 25 indexed citations
19.
Tang, Huilin, et al.. (2017). Adverse Effects and Safety of SGLT2 Inhibitor Use among Patients with Type 2 Diabetes: Findings from RCT Evidence. Zenodo (CERN European Organization for Nuclear Research). 10(2). 3 indexed citations
20.
Tang, Huilin, Dandan Li, Jingjing Zhang, et al.. (2017). Sodium‐glucose co‐transporter‐2 inhibitors and risk of adverse renal outcomes among patients with type 2 diabetes: A network and cumulative meta‐analysis of randomized controlled trials. Diabetes Obesity and Metabolism. 19(8). 1106–1115. 55 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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