Wen Ye

1.9k total citations · 1 hit paper
50 papers, 1.2k citations indexed

About

Wen Ye is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Wen Ye has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Endocrinology, Diabetes and Metabolism and 11 papers in Epidemiology. Recurrent topics in Wen Ye's work include Diabetes Management and Research (8 papers), Diabetes Management and Education (5 papers) and Diabetes and associated disorders (5 papers). Wen Ye is often cited by papers focused on Diabetes Management and Research (8 papers), Diabetes Management and Education (5 papers) and Diabetes and associated disorders (5 papers). Wen Ye collaborates with scholars based in United States, China and United Kingdom. Wen Ye's co-authors include Guo-Yuan Yang, Xiaoming Che, A. Lorris Betz, William H. Herman, Li Pang, Blake J. Roessler, Dinglai Yu, Bicheng Chen, Mengtao Zhou and Bin Lou and has published in prestigious journals such as Nature Communications, The Journal of Immunology and Gastroenterology.

In The Last Decade

Wen Ye

44 papers receiving 1.2k citations

Hit Papers

Estimated Burden of Metabolic Dysfunction–Associated Stea... 2025 2026 2025 10 20 30 40 50
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. Estimated Burden of Metabolic Dysfunction–Associated Steatotic Liver Disease in US Adults, 2020 to 2050
    2025 55 citations Phuc Le, William H. Herman et al. profile →

Peers

Wen Ye
Robert B. MacArthur United States
Angharad R. Morgan United Kingdom
Jishou Zhang China
Sophia Y. Wang United States
Claire Allen United Kingdom
Joshua C. Bis United States
Micheal Ward Australia
Fang Xue China
Jin Zhou China
Giulio R. Romeo United States
Robert B. MacArthur United States
Wen Ye
Citations per year, relative to Wen Ye Wen Ye (= 1×) peers Robert B. MacArthur

Countries citing papers authored by Wen Ye

Since Specialization
Citations

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

Fields of papers citing papers by Wen Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Wen Ye. A scholar is included among the top collaborators of Wen Ye 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 Wen Ye. Wen Ye 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
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Zhang, Jiulong, Wen Ye, Nannan Shi, et al.. (2024). Beating xenograft liposarcoma using metal selenides with NIR-III photothermal ablation and bioactive selenium derivates. Chemical Engineering Journal. 481. 148521–148521. 3 indexed citations
3.
Lin, Yu Kuei, Wen Ye, James Shaw, et al.. (2024). Characterising impaired awareness of hypoglycaemia and associated risks through HypoA-Q: findings from a T1D Exchange cohort. Diabetologia. 68(2). 433–443. 5 indexed citations
4.
Kuo, Shihchen, et al.. (2024). Cost-effectiveness of the National Diabetes Prevention Program: A Real-world, 2-Year Prospective Study. Diabetes Care. 48(7). 1180–1188. 4 indexed citations
5.
Lin, Yu Kuei, Wen Ye, Helen Rogers, et al.. (2024). Mitigating Severe Hypoglycemia in Users of Advanced Diabetes Technologies: Impaired Awareness of Hypoglycemia and Unhelpful Hypoglycemia Beliefs as Targets for Interventions. Diabetes Technology & Therapeutics. 26(10). 739–747. 2 indexed citations
6.
Lin, Yu Kuei, Nicole de Zoysa, Jessica L. McCurley, et al.. (2024). Relationships of hypoglycemia awareness, hypoglycemia beliefs, and continuous glucose monitoring glycemic profiles with anxiety and depression symptoms in adults with type 1 diabetes using continuous glucose monitoring systems. Diabetes Research and Clinical Practice. 209. 111596–111596. 4 indexed citations
7.
Zhang, Jiulong, Yuxin Shi, Chunzi Shi, et al.. (2023). Near-Infrared-Mediated Self-Assembly of Graphene Quantum Dot-Based Nanoprobes to Silence Heat Shock Protein Expression for Mild Photothermal Therapy in Liposarcoma. ACS Applied Nano Materials. 6(18). 16276–16285. 7 indexed citations
8.
Lin, Yu Kuei, Emily C. Tanner, Yue‐E Wang, et al.. (2023). Urinary epidermal growth factor levels correlate with cardiovascular autonomic neuropathy indices in adults with type 1 diabetes. Journal of Diabetes Investigation. 14(10). 1183–1186.
9.
Kuo, Shihchen, et al.. (2022). National Trends in the Achievement of Recommended Strategies for Stroke Prevention in U.S. Adults With Type 2 Diabetes, 2001–2018. Diabetes Care. 45(9). 2003–2011. 2 indexed citations
10.
Lin, Yu Kuei, Caroline R. Richardson, Melissa DeJonckheere, et al.. (2022). Beliefs Around Hypoglycemia and Their Impacts on Hypoglycemia Outcomes in Individuals with Type 1 Diabetes and High Risks for Hypoglycemia Despite Using Advanced Diabetes Technologies. Diabetes Care. 45(3). 520–528. 32 indexed citations
11.
Sen, Ananda, Pin Li, Wen Ye, & Alfred Franzblau. (2021). Bayesian inference of dependent kappa for binary ratings. Statistics in Medicine. 40(26). 5947–5960. 2 indexed citations
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Le, Phuc, Alexander Chaitoff, Anita D. Misra‐Hebert, et al.. (2020). Use of Antihyperglycemic Medications in U.S. Adults: An Analysis of the National Health and Nutrition Examination Survey. Diabetes Care. 43(6). 1227–1233. 57 indexed citations
15.
Wang, Lianyun, et al.. (2019). MicroRNA-449a Is Downregulated in Cervical Cancer and Inhibits Proliferation, Migration, and Invasion. Oncology Research and Treatment. 42(11). 564–571. 18 indexed citations
16.
Schmidt, Brian M., et al.. (2019). Plantar fasciitis in patients with type 1 and type 2 diabetes: A contemporary cohort study. Journal of Diabetes and its Complications. 33(10). 107399–107399. 14 indexed citations
17.
Ye, Wen, Michael Brändle, Morton B. Brown, & William H. Herman. (2015). The Michigan Model for Coronary Heart Disease in Type 2 Diabetes: Development and Validation. Diabetes Technology & Therapeutics. 17(10). 701–711. 15 indexed citations
18.
Isaman, Deanna J. M., Jacob Barhak, & Wen Ye. (2009). Indirect estimation of a discrete‐state discrete‐time model using secondary data analysis of regression data. Statistics in Medicine. 28(16). 2095–2115. 6 indexed citations
19.
Liang, Jersey, Joan Bennett, Benjamín A. Shaw, et al.. (2008). Gender Differences in Functional Status in Middle and Older Age: Are There Any Age Variations?. The Journals of Gerontology Series B. 63(5). S282–S292. 89 indexed citations
20.
Che, Xiaoming, et al.. (2001). Monocyte chemoattractant protein-1 expressed in neurons and astrocytes during focal ischemia in mice. Brain Research. 902(2). 171–177. 178 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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