Foon Wu-Baer

2.1k citations
17 papers · 1.6k indexed · 1 hit paper · h-index 14

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Oncology top 5%
    • Cancer-related Molecular Pathways
    • PARP inhibition in cancer therapy

Papers in

    • HIV Research and Treatment 4
    • Cancer-related Molecular Pathways 6

Foon Wu-Baer

16 papers receiving 1.6k citations

Hit Papers

Mono- Versus Polyubiquitination: Differential Control of p53 Fate by Mdm2 2003 · 622 citations
6222003202620102018200400600

Peers

Foon Wu-Baer
Comparison fields: 5 of 74
  • Virology 155
  • Oncology 709
  • Molecular Biology 1.4k
  • Cancer Research 174
  • Cell Biology 145
Replace Simone E Salghetti with:
Simone E Salghetti United States
Irena Dornreiter Germany
Rebecca Konietzny United Kingdom
Alexandre Orthwein Canada
Richard T. Timms United Kingdom
Katherine Ferrell Germany
Kilian Perrem Australia
Vesna Rapić-Otrin United States
Chee-Gun Lee United States
Guus Hateboer Netherlands
Foon Wu-Baer relative to Simone E Salghetti United States Simone E Salghetti's profile →
Citations per field
00.5×1.5×2.1×
Simone E Salghetti · 1×
Citations per year

Countries citing papers authored by Foon Wu-Baer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Foon Wu-Baer Line = papers co-authored together Foon Wu-Baer links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20230
2 20219
3 2021115
4 202011
5 201915
6 201858
7 2012112
8 201044
9 2005117
10 2003243
11
Mono- Versus Polyubiquitination: Differential Control of p53 Fate by Mdm2
Hit paper breakdown →
2003622
12 200136
13 199862
14 199642
15 199539
16 199558
17 199527

About Foon Wu-Baer

Foon Wu-Baer is a scholar working on Virology, Oncology, Molecular Biology, 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), Ubiquitin and proteasome pathways (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Virology (155 citations), Oncology (709 citations), Molecular Biology (1.4k citations), Cancer Research (174 citations) and Cell Biology (145 citations). Foon Wu-Baer has collaborated with scholars based in United States and China. Frequent co-authors include Richard Baer, Wei Gu, Muyang Li, Christopher Brooks, Delin Chen, Richard B. Gaynor, Wei Yuan, William S. Lane, Frida E. Kleiman and Syuzo Kaneko. 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 Genes & Development.

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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