Lee‐Wei Yang
Impact in
- Molecular Biology top 5%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- Microbial Metabolic Engineering and Bioproduction
- Structural Biology top 5%
Papers in ⓘ
-
- Protein Structure and Dynamics 22
- Microbial Metabolic Engineering and Bioproduction 5
- RNA and protein synthesis mechanisms 5
- Machine Learning in Bioinformatics 3
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- Enzyme Structure and Function 13
- Co-authors
- İvet Bahar (13 shared papers)Eran Eyal (6 shared papers)Timothy R. Lezon (1 shared paper)Chakra Chennubhotla (3 shared papers)Hongchun Li (2 shared papers)Choon‐Peng Chng (2 shared papers)A.J. Rader (1 shared paper)Akio Kitao (4 shared papers)
- Journals
- Bioinformatics (6 papers)Structure (3 papers)Nucleic Acids Research (3 papers)Bioinformatics and Biology Insights (2 papers)Journal of Chemical Theory and Computation (1 paper)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Lee‐Wei Yang
41 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 1.7k
- Structural Biology 29
- Computational Theory and Mathematics 296
- Materials Chemistry 664
- Cell Biology 201
Countries citing papers authored by Lee‐Wei Yang
This map shows the geographic impact of Lee‐Wei Yang'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 Lee‐Wei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee‐Wei Yang more than expected).
Fields of papers citing papers by Lee‐Wei Yang
This network shows the impact of papers produced by Lee‐Wei Yang. 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 Lee‐Wei Yang. The network helps show where Lee‐Wei Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lee‐Wei Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 494 | |
| 2 | 2006 | 269 | |
| 3 | 2005 | 219 | |
| 4 | 2005 | 144 | |
| 5 | 2006 | 130 | |
| 6 | 2017 | 113 | |
| 7 | 2009 | 113 | |
| 8 | 2007 | 112 | |
| 9 | 2007 | 66 | |
| 10 | 2015 | 64 | |
| 11 | 2008 | 53 | |
| 12 | 2000 | 28 | |
| 13 | 2002 | 24 | |
| 14 | 2008 | 23 | |
| 15 | 2014 | 18 | |
| 16 | 2014 | 18 | |
| 17 | 2018 | 15 | |
| 18 | 2022 | 15 | |
| 19 | 2006 | 15 | |
| 20 | 2016 | 14 |
About Lee‐Wei Yang
Lee‐Wei Yang is a scholar working on Molecular Biology, Materials Chemistry, Cell Biology, Electrical and Electronic Engineering and Spectroscopy, having authored 42 papers that have together received 2.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (22 papers), Enzyme Structure and Function (13 papers), Hemoglobin structure and function (5 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), RNA and protein synthesis mechanisms (5 papers), Semiconductor materials and devices (4 papers), Machine Learning in Bioinformatics (3 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Molecular Biology (1.7k citations), Structural Biology (29 citations), Computational Theory and Mathematics (296 citations), Materials Chemistry (664 citations) and Cell Biology (201 citations). Lee‐Wei Yang has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include İvet Bahar, Eran Eyal, Timothy R. Lezon, Chakra Chennubhotla, Hongchun Li, Choon‐Peng Chng, A.J. Rader, Akio Kitao, Ji Young Lee and Angela M. Gronenborn. Their work appears in journals such as Bioinformatics, Structure, Nucleic Acids Research, Bioinformatics and Biology Insights and Journal of Chemical Theory and Computation.
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.