Suzanne Chan
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Aging top 5%
Papers in
-
- DNA Repair Mechanisms 2
- Fibroblast Growth Factor Research 2
- Oncology 4
- Cancer-related Molecular Pathways 3
- Co-authors
- Sandy Chang (3 shared papers)Yibin Deng (2 shared papers)Ronald A. DePinho (4 shared papers)Robert Bachoo (3 shared papers)Elizabeth A. Maher (3 shared papers)David H. Rowitch (3 shared papers)Keith L. Ligon (3 shared papers)Norman E. Sharpless (3 shared papers)
- Journals
- Cancer Cell (2 papers)Journal of Endodontics (1 paper)FEBS Letters (1 paper)Molecular Metabolism (1 paper)Nature reviews. Cancer (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Suzanne Chan
12 papers receiving 1.4k citations
Suzanne Chan's Hit Papers
Peers
Comparison fields: 5 of 79
- Developmental Neuroscience 176
- Aging 60
- Genetics 272
- Physiology 443
- Cancer Research 209
Countries citing papers authored by Suzanne Chan
This map shows the geographic impact of Suzanne Chan'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 Suzanne Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne Chan more than expected).
Fields of papers citing papers by Suzanne Chan
This network shows the impact of papers produced by Suzanne Chan. 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 Suzanne Chan. The network helps show where Suzanne Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Suzanne Chan, 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 | Epidermal growth factor receptor and Ink4a/Arf Hit paper breakdown → | 2002 | 500 |
| 2 | 2008 | 306 | |
| 3 | 2007 | 200 | |
| 4 | 2004 | 174 | |
| 5 | 2007 | 71 | |
| 6 | 2018 | 63 | |
| 7 | p16(INK4a) and p53 deficiency cooperate in tumorigenesis. | 2002 | 49 |
| 8 | 2010 | 19 | |
| 9 | 2018 | 7 | |
| 10 | 1970 | 7 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 3 | |
| 13 | 2004 | 1 |
About Suzanne Chan
Suzanne Chan is a scholar working on Molecular Biology, Oncology, Physiology, Infectious Diseases and Epidemiology, having authored 13 papers that have together received 1.4k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (3 papers), Cancer-related Molecular Pathways (3 papers), DNA Repair Mechanisms (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Cancer Research and Treatments (2 papers), Fibroblast Growth Factor Research (2 papers), Streptococcal Infections and Treatments (1 paper) and Hepatitis Viruses Studies and Epidemiology (1 paper). The work is most often cited by research in Developmental Neuroscience (176 citations), Aging (60 citations), Genetics (272 citations), Physiology (443 citations) and Cancer Research (209 citations). Suzanne Chan has collaborated with scholars based in United States and China. Frequent co-authors include Sandy Chang, Yibin Deng, Ronald A. DePinho, Robert Bachoo, Elizabeth A. Maher, David H. Rowitch, Keith L. Ligon, Norman E. Sharpless, M. James You and Yi Tang. Their work appears in journals such as Cancer Cell, Journal of Endodontics, FEBS Letters, Molecular Metabolism and Nature reviews. Cancer.
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.