Lei Chen

9.2k total citations · 1 hit paper
215 papers, 6.5k citations indexed

About

Lei Chen is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Physiology. According to data from OpenAlex, Lei Chen has authored 215 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Endocrinology, Diabetes and Metabolism, 46 papers in Molecular Biology and 32 papers in Physiology. Recurrent topics in Lei Chen's work include Diabetes, Cardiovascular Risks, and Lipoproteins (26 papers), Diet and metabolism studies (15 papers) and Pregnancy and preeclampsia studies (11 papers). Lei Chen is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (26 papers), Diet and metabolism studies (15 papers) and Pregnancy and preeclampsia studies (11 papers). Lei Chen collaborates with scholars based in China, United States and Australia. Lei Chen's co-authors include Paul Zimmet, Dianna J. Magliano, Weiping Jia, Andrew Tonkin, Jonathan E. Shaw, Patrick J. Phillips, Beverley Balkau, Stephen Colagiuri, Kun‐san Xiang and Huijuan Lu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of the American Chemical Society.

In The Last Decade

Lei Chen

196 papers receiving 6.3k citations

Hit Papers

The worldwide epidemiology of type 2 diabetes mellitus—pr... 2011 2026 2016 2021 2011 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lei Chen China 36 1.9k 1.8k 824 765 738 215 6.5k
Yu‐Shan Huang Taiwan 22 2.1k 1.1× 1.6k 0.9× 1.1k 1.4× 729 1.0× 827 1.1× 139 6.9k
Bendix Carstensen Denmark 48 3.0k 1.6× 1.5k 0.9× 1.2k 1.5× 1.3k 1.7× 799 1.1× 161 7.7k
Brian Keevil United Kingdom 47 3.0k 1.6× 1.4k 0.8× 944 1.1× 1.2k 1.6× 701 0.9× 224 8.7k
Kenji Maeda Japan 56 1.5k 0.8× 2.6k 1.5× 884 1.1× 874 1.1× 1.4k 1.9× 343 11.8k
Chi‐Ho Lee Hong Kong 45 1.0k 0.5× 1.5k 0.9× 916 1.1× 826 1.1× 999 1.4× 316 6.7k
Siyan Zhan China 45 1.4k 0.7× 1.4k 0.8× 2.1k 2.5× 1.1k 1.5× 620 0.8× 401 9.7k
Yan Zheng China 36 1.9k 1.0× 2.4k 1.3× 1.0k 1.3× 768 1.0× 2.1k 2.8× 146 7.8k
William L. Roberts United States 44 1.2k 0.6× 1.5k 0.9× 1.5k 1.8× 873 1.1× 682 0.9× 150 7.3k
Jin Hee Lee South Korea 33 827 0.4× 1.3k 0.7× 602 0.7× 546 0.7× 532 0.7× 240 4.9k
Soo‐Youn Lee South Korea 41 662 0.4× 2.4k 1.4× 705 0.9× 981 1.3× 356 0.5× 396 7.3k

Countries citing papers authored by Lei Chen

Since Specialization
Citations

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

Fields of papers citing papers by Lei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Chen. A scholar is included among the top collaborators of Lei Chen 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 Lei Chen. Lei Chen 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.
Chen, Lei, et al.. (2025). Interactions between traditional chinese medicine and gut microbiota in chronic diseases. Pharmacological Research - Modern Chinese Medicine. 16. 100659–100659.
2.
Song, Rui, et al.. (2025). The association between inflammatory indices in early pregnancy and the risk of gestational diabetes mellitus in Chinese population. BMC Pregnancy and Childbirth. 25(1). 151–151. 4 indexed citations
3.
Chen, Lei, et al.. (2024). Low-carbon oriented planning of shared photovoltaics and energy storage systems in distribution networks via carbon emission flow tracing. International Journal of Electrical Power & Energy Systems. 160. 110126–110126. 7 indexed citations
4.
Ai, Chao, et al.. (2024). Gum arabic-stabilized emulsion systems: Underlying mechanisms for enhancing storage and digestion stability of curcumin. International Journal of Biological Macromolecules. 291. 139141–139141. 4 indexed citations
5.
Chen, Lei, Jipeng Yan, Channa Jayasena, et al.. (2024). Super‐resolution ultrasound localization microscopy for the non‐invasive imaging of human testicular microcirculation and its differential diagnosis role in male infertility. SHILAP Revista de lepidopterología. 5(2). 3 indexed citations
6.
Dang, Hongtao, Bin Guan, Junyan Chen, et al.. (2024). Research on carbon dioxide capture materials used for carbon dioxide capture, utilization, and storage technology: a review. Environmental Science and Pollution Research. 31(23). 33259–33302. 13 indexed citations
7.
Ma, Zhenjiang, Linlin Wang, Lei Chen, et al.. (2024). Schwann Cell–Secreted S100B Promotes Wound Healing via Paracrine Modulation. Journal of Dental Research. 104(3). 330–340. 2 indexed citations
9.
Kan, Yu, Xiaogang Yu, Tong Sun, et al.. (2023). Early environmental exposure to oxytetracycline in Danio rerio may contribute to neurobehavioral abnormalities in adult zebrafish. The Science of The Total Environment. 882. 163482–163482. 12 indexed citations
10.
Shen, Yun, Qing Yang, Tingting Hu, et al.. (2023). Association of prolactin with all-cause and cardiovascular mortality among patients with type 2 diabetes: a real-world study. European Journal of Preventive Cardiology. 30(14). 1439–1447. 10 indexed citations
11.
12.
Mao, Yiting, Chen Zhang, Lei Chen, et al.. (2021). Association between paternal age and subtypes of preterm birth: a retrospective study. Reproductive BioMedicine Online. 44(6). 1101–1109. 3 indexed citations
13.
Zhang, Chen, et al.. (2021). COVID-19 Lockdown Increased the Risk of Preterm Birth. Frontiers in Medicine. 8. 705943–705943. 13 indexed citations
14.
Wu, Yanting, Ben W. Mol, Cheng Li, et al.. (2020). Early Prediction of Gestational Diabetes Mellitus in the Chinese Population via Advanced Machine Learning. The Journal of Clinical Endocrinology & Metabolism. 106(3). e1191–e1205. 115 indexed citations
15.
Wang, Lichun, et al.. (2020). Desmopressin acetate decreases blood loss in patients with massive hemorrhage undergoing gastrointestinal surgery. The Turkish Journal of Gastroenterology. 31(6). 474–481. 4 indexed citations
16.
Chen, Min, Jian Chen, Yue Yang, et al.. (2018). Conservative Treatment versus Surgery for Laryngeal Contact Granuloma: A Prospective Study. ORL. 80(5-6). 307–316. 3 indexed citations
18.
Chen, Lizhi, et al.. (2010). Clinical analysis of prognostic factors in 118 children with acute kidney injury. 26(7). 497–503. 1 indexed citations
19.
Jin, Keke, et al.. (2009). Acupressure Therapy Inhibits the Development of Diabetic Complications in Chinese Patients with Type 2 Diabetes. The Journal of Alternative and Complementary Medicine. 15(9). 1027–1032. 18 indexed citations
20.
Chen, Lei, et al.. (2003). Prevalence of metabolic syndrome among Shanghai adults in China. 31(12). 909–912. 11 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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