Foon Wu-Baer
Impact in
Papers in
-
- DNA Repair Mechanisms 10
- RNA Research and Splicing 6
- CRISPR and Genetic Engineering 4
- RNA and protein synthesis mechanisms 2
- Ubiquitin and proteasome pathways 2
- Oncology 7
- Cancer-related Molecular Pathways 6
- Co-authors
- Richard Baer (12 shared papers)Muyang Li (1 shared paper)Wei Gu (1 shared paper)Christopher Brooks (1 shared paper)Delin Chen (1 shared paper)Richard B. Gaynor (5 shared papers)Wei Yuan (1 shared paper)William S. Lane (2 shared papers)
- Journals
- Molecular Cell (3 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (2 papers)Journal of Molecular Biology (2 papers)Cells (1 paper)
- Partner nations
- United StatesItalyChina
In The Last Decade
Foon Wu-Baer
16 papers receiving 1.6k citations
Foon Wu-Baer's Hit Papers
Peers
Comparison fields: 5 of 74
- Virology 155
- Oncology 701
- Molecular Biology 1.4k
- Cancer Research 164
- Cell Biology 141
Countries citing papers authored by Foon Wu-Baer
This map shows the geographic impact of Foon Wu-Baer'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 Foon Wu-Baer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Foon Wu-Baer more than expected).
Fields of papers citing papers by Foon Wu-Baer
This network shows the impact of papers produced by Foon Wu-Baer. 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 Foon Wu-Baer. The network helps show where Foon Wu-Baer may publish in the future.
Co-authors
The 25 scholars most cited alongside Foon Wu-Baer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Mono- Versus Polyubiquitination: Differential Control of p53 Fate by Mdm2 Hit paper breakdown → | 2003 | 626 |
| 2 | 2003 | 244 | |
| 3 | 2021 | 122 | |
| 4 | 2005 | 117 | |
| 5 | 2012 | 113 | |
| 6 | 1998 | 62 | |
| 7 | 2018 | 62 | |
| 8 | 1995 | 58 | |
| 9 | 2010 | 45 | |
| 10 | 1996 | 42 | |
| 11 | 1995 | 39 | |
| 12 | 2001 | 36 | |
| 13 | 1995 | 27 | |
| 14 | 2019 | 15 | |
| 15 | 2020 | 13 | |
| 16 | 2021 | 9 | |
| 17 | 2023 | 0 |
About Foon Wu-Baer
Foon Wu-Baer is a scholar working on Molecular Biology, Oncology, Virology, Genetics and Immunology, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (10 papers), Cancer-related Molecular Pathways (6 papers), RNA Research and Splicing (6 papers), HIV Research and Treatment (4 papers), CRISPR and Genetic Engineering (4 papers), BRCA gene mutations in cancer (3 papers), RNA and protein synthesis mechanisms (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Virology (155 citations), Oncology (701 citations), Molecular Biology (1.4k citations), Cancer Research (164 citations) and Cell Biology (141 citations). Foon Wu-Baer has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Richard Baer, Muyang Li, Wei Gu, Christopher Brooks, Delin Chen, Richard B. Gaynor, Wei Yuan, William S. Lane, James L. Manley and Frida E. Kleiman. Their work appears in journals such as Molecular Cell, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Journal of Molecular Biology and Cells.
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.