Susan Wee
Impact in
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways
- PI3K/AKT/mTOR signaling in cancer
- Protein Degradation and Inhibitors
- Protein Kinase Regulation and GTPase Signaling
- Histone Deacetylase Inhibitors Research
- Oncology top 5%
- Cancer-related Molecular Pathways
Papers in
-
- Ubiquitin and proteasome pathways 11
- Protein Degradation and Inhibitors 5
- Melanoma and MAPK Pathways 4
- PI3K/AKT/mTOR signaling in cancer 4
- Oncology 6
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Dieter A Wolf (8 shared papers)Christoph Lengauer (4 shared papers)Rory Geyer (2 shared papers)Chunshui Zhou (3 shared papers)Alexander Kamb (1 shared paper)Frank Stegmeier (2 shared papers)Alice Loo (2 shared papers)Scott Anderson (1 shared paper)
- Journals
- Cancer Research (4 papers)Molecular Cell (3 papers)ACS Medicinal Chemistry Letters (2 papers)Nature Cell Biology (2 papers)BMC Genetics (2 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Susan Wee
24 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 2.1k
- Oncology 702
- Genetics 210
- Cancer Research 295
- Cell Biology 255
Countries citing papers authored by Susan Wee
This map shows the geographic impact of Susan Wee'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 Susan Wee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan Wee more than expected).
Fields of papers citing papers by Susan Wee
This network shows the impact of papers produced by Susan Wee. 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 Susan Wee. The network helps show where Susan Wee may publish in the future.
Co-authors
The 25 scholars most cited alongside Susan Wee, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 411 | |
| 2 | 2009 | 354 | |
| 3 | 2003 | 266 | |
| 4 | 2006 | 264 | |
| 5 | 2009 | 241 | |
| 6 | 2003 | 156 | |
| 7 | 2005 | 156 | |
| 8 | 2003 | 148 | |
| 9 | 2005 | 110 | |
| 10 | 2009 | 105 | |
| 11 | 2015 | 72 | |
| 12 | 2014 | 68 | |
| 13 | 2002 | 58 | |
| 14 | 2018 | 43 | |
| 15 | 2019 | 17 | |
| 16 | 2018 | 15 | |
| 17 | 2008 | 14 | |
| 18 | 2021 | 10 | |
| 19 | 2023 | 10 | |
| 20 | 2002 | 9 |
About Susan Wee
Susan Wee is a scholar working on Molecular Biology, Oncology, Cell Biology, Epidemiology and Immunology, having authored 27 papers that have together received 2.6k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (11 papers), Protein Degradation and Inhibitors (5 papers), Melanoma and MAPK Pathways (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Autophagy in Disease and Therapy (4 papers), Quinazolinone synthesis and applications (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Oncology (702 citations), Genetics (210 citations), Cancer Research (295 citations) and Cell Biology (255 citations). Susan Wee has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Dieter A Wolf, Christoph Lengauer, Rory Geyer, Chunshui Zhou, Alexander Kamb, Frank Stegmeier, Alice Loo, Scott Anderson, John R. Yates and Dmitri Wiederschain. Their work appears in journals such as Cancer Research, Molecular Cell, ACS Medicinal Chemistry Letters, Nature Cell Biology and BMC Genetics.
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.