Yu‐Wei Lee

506 citations
22 papers · 423 · h-index 11

Impact in

Papers in

    • Wnt/β-catenin signaling in development and cancer 2
    • RNA Research and Splicing 2
    • Fibroblast Growth Factor Research 2
    • Mesenchymal stem cell research 4

Yu‐Wei Lee

21 papers receiving 417 citations

Peers

Yu‐Wei Lee
Comparison fields: 5 of 81
  • Developmental Neuroscience 32
  • Genetics 44
  • Molecular Biology 219
  • Cellular and Molecular Neuroscience 50
  • Electronic, Optical and Magnetic Materials 49
Replace Xuefei Han with:
Xuefei Han China
Yuxi Zou China
Aiping Lin China
Yu-Fan Chang Taiwan
Aya Iriyama Japan
Thanapat Pongkulapa United States
Ji Yuan China
Gabriele Bonaventura Italy
Jia Huang China
Dorota Rogińska Poland
Yu‐Wei Lee relative to Xuefei Han China Xuefei Han's profile →
Citations per field
00.5×3.3×
Xuefei Han · 1×
Citations per year

Countries citing papers authored by Yu‐Wei Lee

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Wei Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Wei Lee. 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 Yu‐Wei Lee. The network helps show where Yu‐Wei Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside Yu‐Wei Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yu‐Wei Lee Line = papers co-authored together Yu‐Wei Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200474
2 200961
3 201643
4 200935
5 202027
6 201227
7 201527
8 201321
9 201617
10 201514
11 201810
12 201510
13 202110
14 202110
15 20218
16 20197
17 20227
18 20136
19 20174
20 20184

About Yu‐Wei Lee

Yu‐Wei Lee is a scholar working on Molecular Biology, Genetics, Developmental Neuroscience, Electronic, Optical and Magnetic Materials and Electrical and Electronic Engineering, having authored 22 papers that have together received 423 indexed citations. Recurring topics across this work include Copper Interconnects and Reliability (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Mesenchymal stem cell research (4 papers), Electrodeposition and Electroless Coatings (4 papers), Nuclear Receptors and Signaling (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), RNA Research and Splicing (2 papers) and Fibroblast Growth Factor Research (2 papers). The work is most often cited by research in Developmental Neuroscience (32 citations), Genetics (44 citations), Molecular Biology (219 citations), Cellular and Molecular Neuroscience (50 citations) and Electronic, Optical and Magnetic Materials (49 citations). Yu‐Wei Lee has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Cheng–En Ho, Michal K. Stachowiak, Ewa K. Stachowiak, Paras N. Prasad, Cheng‐Hsien Yang, Peter Claus, Star Dunham-Ems, Hua Wu, Hsinyu Lee and Haridas E. Pudavar. Their work appears in journals such as Stem Cells Translational Medicine, Journal of The Electrochemical Society, iScience, Journal of Cellular Biochemistry and Frontiers in Cell and Developmental Biology.

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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