Yi‐Lei Wu

700 total citations
22 papers, 503 citations indexed

About

Yi‐Lei Wu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Yi‐Lei Wu has authored 22 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Genetics. Recurrent topics in Yi‐Lei Wu's work include MicroRNA in disease regulation (3 papers), Diabetes Management and Research (3 papers) and Diabetes and associated disorders (3 papers). Yi‐Lei Wu is often cited by papers focused on MicroRNA in disease regulation (3 papers), Diabetes Management and Research (3 papers) and Diabetes and associated disorders (3 papers). Yi‐Lei Wu collaborates with scholars based in Taiwan, China and United States. Yi‐Lei Wu's co-authors include Wenjie Zhang, David L. Kaplan, Duohong Zou, Songlin Wang, Xinquan Jiang, Chao Zhu, Jiaoli Wang, Jufeng Guo, Shenglin Ma and Lei Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Bone and Mineral Research.

In The Last Decade

Yi‐Lei Wu

21 papers receiving 495 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi‐Lei Wu Taiwan 12 199 105 95 71 68 22 503
Megan C. Moorer United States 12 373 1.9× 86 0.8× 77 0.8× 53 0.7× 51 0.8× 13 586
Sooyeon Lee Germany 11 262 1.3× 65 0.6× 101 1.1× 83 1.2× 63 0.9× 17 647
Hui-Chen Huang Taiwan 11 187 0.9× 62 0.6× 75 0.8× 88 1.2× 30 0.4× 13 525
Naomi Dirckx United States 9 443 2.2× 109 1.0× 167 1.8× 67 0.9× 65 1.0× 16 762
Addy Montes de Spain 10 166 0.8× 99 0.9× 37 0.4× 84 1.2× 108 1.6× 11 617
Qi Tang China 15 305 1.5× 84 0.8× 122 1.3× 70 1.0× 27 0.4× 35 583
P. Lencel France 8 223 1.1× 50 0.5× 44 0.5× 83 1.2× 63 0.9× 8 558
Quitterie C. Larrouture United States 10 221 1.1× 204 1.9× 66 0.7× 65 0.9× 31 0.5× 20 578
Fang Yan China 13 294 1.5× 138 1.3× 67 0.7× 187 2.6× 27 0.4× 33 616
Ann‐Kristin Picke Germany 12 273 1.4× 88 0.8× 49 0.5× 59 0.8× 49 0.7× 14 609

Countries citing papers authored by Yi‐Lei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Lei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi‐Lei Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yi‐Lei Wu. A scholar is included among the top collaborators of Yi‐Lei Wu 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 Yi‐Lei Wu. Yi‐Lei Wu 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.
Wu, Yi‐Lei, Jiang Liu, Minhui Zhang, et al.. (2025). Time-series analysis reveals metabolic and transcriptional dynamics during mulberry fruit development and ripening. International Journal of Biological Macromolecules. 301. 140288–140288. 1 indexed citations
2.
3.
Lee, Yann‐Jinn, Chi‐Yu Huang, Yi‐Lei Wu, et al.. (2023). The effects of gonadotropin-releasing hormone agonist on final adult height among girls with early and fast puberty. Frontiers in Endocrinology. 14. 1271395–1271395. 1 indexed citations
4.
Wu, Yi‐Lei, et al.. (2023). Factors Associated with Prolonged Intensive Care Unit Treatment and Organ Failure in Pediatric Patients with Diabetic Ketoacidosis. SHILAP Revista de lepidopterología. 7(1). 13–19. 1 indexed citations
5.
6.
Lin, Chao‐Hsu, Chao‐Hsu Lin, Chien‐Yu Lin, et al.. (2020). Effect of Oral Vitamin D3 Supplementation in Exclusively Breastfed Newborns: Prospective, Randomized, Double-Blind, Placebo-Controlled Trial. Journal of Bone and Mineral Research. 37(4). 786–793. 7 indexed citations
7.
Ting, Wei‐Hsin, Chi‐Yu Huang, Chao‐Hsu Lin, et al.. (2020). Long-term outcomes of graves disease in children treated with anti-thyroid drugs. Pediatrics & Neonatology. 61(3). 311–317. 11 indexed citations
8.
Cheng, Andrew L., et al.. (2020). Fully‑automated deep‑learning segmentation of pediatric cardiovascular magnetic resonance of patients with complex congenital heart diseases. Journal of Cardiovascular Magnetic Resonance. 22(1). 80–80. 35 indexed citations
9.
Liu, Weihua, et al.. (2020). LINC00473 contributes to the radioresistance of esophageal squamous cell carcinoma by regulating microRNA‑497‑5p and cell division cycle 25A. International Journal of Molecular Medicine. 46(2). 571–582. 20 indexed citations
10.
Yu, Yan, Zaijun Yang, Shuhong Wei, et al.. (2019). TaEPFL1, an EPIDERMAL PATTERNING FACTOR-LIKE (EPFL) secreted peptide gene, is required for stamen development in wheat. Genetica. 147(2). 121–130. 15 indexed citations
11.
Lo, Fu‐Sung, Chi‐Yu Huang, Wei‐Hsin Ting, et al.. (2018). Autoantibodies against islet cell antigens in children with type 1 diabetes mellitus. Oncotarget. 9(23). 16275–16283. 13 indexed citations
12.
Huang, Chi‐Yu, Wei‐Hsin Ting, Fu‐Sung Lo, et al.. (2017). Factors associated with diabetic nephropathy in children, adolescents, and adults with type 1 diabetes. Journal of the Formosan Medical Association. 116(12). 924–932. 14 indexed citations
13.
Wang, Jiaoli, et al.. (2017). Adipocyte-derived exosomes promote lung cancer metastasis by increasing MMP9 activity via transferring MMP3 to lung cancer cells. Oncotarget. 8(47). 81880–81891. 73 indexed citations
14.
Ting, Wei‐Hsin, Ming-Nan Chien, Fu‐Sung Lo, et al.. (2016). Association of Cytotoxic T-Lymphocyte-Associated Protein 4 (CTLA4) Gene Polymorphisms with Autoimmune Thyroid Disease in Children and Adults: Case-Control Study. PLoS ONE. 11(4). e0154394–e0154394. 54 indexed citations
15.
Zhang, Wenjie, Chao Zhu, Yi‐Lei Wu, et al.. (2014). VEGF and BMP-2 promote bone regeneration by facilitating bone marrow stem cell homing and differentiation. European Cells and Materials. 27. 1–12. 153 indexed citations
16.
Wu, Yi‐Lei, Daw‐Yang Hwang, Hui‐Pin Hsiao, et al.. (2014). Mutations in Pseudohypoparathyroidism 1a and Pseudopseudohypoparathyroidism in Ethnic Chinese. PLoS ONE. 9(3). e90640–e90640. 6 indexed citations
17.
Huang, Chi‐Yu, Wei‐Hsin Ting, Fu‐Sung Lo, et al.. (2012). The IL18 gene and Hashimoto thyroiditis in children. Human Immunology. 74(1). 120–124. 5 indexed citations
18.
Wu, Yi‐Lei, Wei‐Hsin Ting, Chi‐Kuan Chen, et al.. (2011). Poorly differentiated thyroid carcinoma in a 9-year-old boy: case report. Journal of Pediatric Endocrinology and Metabolism. 24(9-10). 783–6. 5 indexed citations
19.
Li, Guoqing, et al.. (2000). [Changes of trace elements in cells of lung cancer and cervix cancer before apoptosis and after apoptosis].. PubMed. 20(2). 240–2. 1 indexed citations
20.
Loh, Horace H., et al.. (1975). Opiate binding to cerebroside sulfate: A model system for opiate-receptor interaction. Life Sciences. 16(12). 1811–1817. 32 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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