Yu‐Wei Lee

509 citations
22 papers · 443 · h-index 12

Impact in

Papers in

    • Cancer-related gene regulation 2
    • Wnt/β-catenin signaling in development and cancer 2
    • Fibroblast Growth Factor Research 2
    • Mesenchymal stem cell research 4

Yu‐Wei Lee

21 papers receiving 435 citations

Peers

Yu‐Wei Lee
Comparison fields: 5 of 81
  • Developmental Neuroscience 31
  • Genetics 44
  • Molecular Biology 214
  • Cellular and Molecular Neuroscience 50
  • Electronic, Optical and Magnetic Materials 49
Replace Nitsan Dahan with:
Nitsan Dahan Israel
Xuefei Han China
Christopher Rathnam United States
Yuxi Zou China
Aya Iriyama Japan
Jia Huang China
Thanapat Pongkulapa United States
Sean S. Liour United States
Dorota Rogińska Poland
Dong‐Ku Kang United States
Yu‐Wei Lee relative to Nitsan Dahan Israel Nitsan Dahan's profile →
Citations per field
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Nitsan Dahan · 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 200477
2 200963
3 201643
4 200936
5 201229
6 202028
7 201528
8 201321
9 201620
10 201514
11 202113
12 202111
13 201510
14 202110
15 201810
16 20227
17 20197
18 20136
19 20175
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 443 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (5 papers), Copper Interconnects and Reliability (5 papers), Electrodeposition and Electroless Coatings (4 papers), Mesenchymal stem cell research (4 papers), Nuclear Receptors and Signaling (3 papers), Cancer-related gene regulation (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Fibroblast Growth Factor Research (2 papers). The work is most often cited by research in Developmental Neuroscience (31 citations), Genetics (44 citations), Molecular Biology (214 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, Ewa K. Stachowiak, Michal K. Stachowiak, Paras N. Prasad, Cheng‐Hsien Yang, Peter Claus, B. Linju Yen, Hsinyu Lee, Hsien‐Yeh Hsu and Hua Wu. Their work appears in journals such as Stem Cells Translational Medicine, Journal of The Electrochemical Society, The Journal of Dermatology, Oncotarget and Frontiers in Oncology.

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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