Whei-Fen Wu
Impact in
- Genetics top 10%
- Bacterial Genetics and Biotechnology
- Endocrinology top 10%
Papers in
-
- RNA and protein synthesis mechanisms 5
- CRISPR and Genetic Engineering 3
- Fungal and yeast genetics research 2
- Genetics 13
- Bacterial Genetics and Biotechnology 13
- Co-authors
- Susan Gottesman (2 shared papers)YanNing Zhou (1 shared paper)Mark L. Urbanowski (3 shared papers)George V. Stauffer (3 shared papers)Martin Kessel (1 shared paper)Alasdair C. Steven (1 shared paper)Eva Kocsis (1 shared paper)Michael R. Maurizi (1 shared paper)
- Journals
- Journal of Bacteriology (6 papers)Microbiological Research (3 papers)FEBS Letters (1 paper)Molecular & Cellular Proteomics (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- TaiwanUnited StatesCzechia
In The Last Decade
Whei-Fen Wu
21 papers receiving 440 citations
Peers
Comparison fields: 5 of 56
- Genetics 227
- Endocrinology 33
- Cell Biology 87
- Molecular Medicine 24
- Molecular Biology 326
Countries citing papers authored by Whei-Fen Wu
This map shows the geographic impact of Whei-Fen 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 Whei-Fen Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Whei-Fen Wu more than expected).
Fields of papers citing papers by Whei-Fen Wu
This network shows the impact of papers produced by Whei-Fen 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 Whei-Fen Wu. The network helps show where Whei-Fen Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Whei-Fen Wu, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 92 | |
| 2 | 1999 | 86 | |
| 3 | 2012 | 41 | |
| 4 | 2010 | 32 | |
| 5 | 1988 | 31 | |
| 6 | 2004 | 24 | |
| 7 | 1992 | 23 | |
| 8 | 2016 | 17 | |
| 9 | 1995 | 16 | |
| 10 | 2016 | 15 | |
| 11 | 2003 | 11 | |
| 12 | 1993 | 10 | |
| 13 | 2009 | 10 | |
| 14 | 2018 | 7 | |
| 15 | 2011 | 7 | |
| 16 | 2009 | 6 | |
| 17 | 2022 | 5 | |
| 18 | HslUV (ClpYQ), an ATPdependent protease with unique characteristics.ATP-Dependent Proteases | 2008 | 4 |
| 19 | 2019 | 2 | |
| 20 | 2020 | 2 |
About Whei-Fen Wu
Whei-Fen Wu is a scholar working on Molecular Biology, Genetics, Ecology, Cell Biology and Materials Chemistry, having authored 21 papers that have together received 442 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (13 papers), Bacteriophages and microbial interactions (6 papers), Endoplasmic Reticulum Stress and Disease (6 papers), RNA and protein synthesis mechanisms (5 papers), Enzyme Structure and Function (3 papers), CRISPR and Genetic Engineering (3 papers), Cancer Research and Treatments (2 papers) and Fungal and yeast genetics research (2 papers). The work is most often cited by research in Genetics (227 citations), Endocrinology (33 citations), Cell Biology (87 citations), Molecular Medicine (24 citations) and Molecular Biology (326 citations). Whei-Fen Wu has collaborated with scholars based in Taiwan, United States and Czechia. Frequent co-authors include Susan Gottesman, YanNing Zhou, Mark L. Urbanowski, George V. Stauffer, Martin Kessel, Alasdair C. Steven, Eva Kocsis, Michael R. Maurizi, Michael Feiss and Stephen P. Christiansen. Their work appears in journals such as Journal of Bacteriology, Microbiological Research, FEBS Letters, Molecular & Cellular Proteomics and Journal of Biological Chemistry.
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.