Yi‐Lei Wu

36 total papers · 690 total citations
22 papers, 502 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 502 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 Diabetes Management and Research (3 papers), Circular RNAs in diseases (3 papers) and MicroRNA in disease regulation (3 papers). Yi‐Lei Wu is often cited by papers focused on Diabetes Management and Research (3 papers), Circular RNAs in diseases (3 papers) and MicroRNA in disease regulation (3 papers). Yi‐Lei Wu collaborates with scholars based in Taiwan, China and United States. Yi‐Lei Wu's co-authors include Wenjie Zhang, Chao Zhu, David L. Kaplan, Xinquan Jiang, Duohong Zou, Songlin Wang, Lei Yu, Jufeng Guo, Shenglin Ma and Jiaoli Wang 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 494 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yi‐Lei Wu 198 105 94 71 68 22 502
Liwen Liu 235 1.2× 72 0.7× 74 0.8× 73 1.0× 91 1.3× 28 578
Konstantina Kyriakopoulou 154 0.8× 125 1.2× 94 1.0× 89 1.3× 35 0.5× 19 514
Rafał Sibiak 234 1.2× 53 0.5× 115 1.2× 78 1.1× 32 0.5× 28 560
Megan C. Moorer 369 1.9× 84 0.8× 76 0.8× 52 0.7× 51 0.8× 13 577
Cristina Olgasi 358 1.8× 78 0.7× 206 2.2× 108 1.5× 50 0.7× 20 572
Qiaoyue Guo 242 1.2× 71 0.7× 75 0.8× 61 0.9× 32 0.5× 16 568
Hui-Chen Huang 187 0.9× 62 0.6× 75 0.8× 88 1.2× 30 0.4× 13 524
C Klein-Soyer 240 1.2× 37 0.4× 78 0.8× 64 0.9× 47 0.7× 20 578
T Tsukazaki 242 1.2× 40 0.4× 46 0.5× 90 1.3× 39 0.6× 16 510
Patricia A. Veno 264 1.3× 63 0.6× 29 0.3× 55 0.8× 70 1.0× 19 597

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

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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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