Ellen Wong
Impact in
- Cell Biology top 1%
- Cellular Mechanics and Interactions
- Skin and Cellular Biology Research
- Hippo pathway signaling and YAP/TAZ
- Aging top 5%
Papers in
-
- Wnt/β-catenin signaling in development and cancer 5
- Cancer-related gene regulation 4
- Metabolism, Diabetes, and Cancer 4
-
- Adipose Tissue and Metabolism 7
- Adenosine and Purinergic Signaling 4
- Co-authors
- Barry M. Gumbiner (4 shared papers)Cara J. Gottardi (1 shared paper)Henry Furneaux (6 shared papers)Elaine Fuchs (4 shared papers)Josep Dalmau (4 shared papers)Jerome B. Posner (3 shared papers)J. Clifford Murray (1 shared paper)Lawrence Shapiro (1 shared paper)
- Journals
- Science (4 papers)The Journal of Cell Biology (3 papers)Endocrinology (3 papers)FEBS Letters (3 papers)Cell (3 papers)
- Partner nations
- United StatesSingaporeNew Zealand
In The Last Decade
Ellen Wong
34 papers receiving 3.8k citations
Ellen Wong's Hit Papers
Peers
Comparison fields: 5 of 137
- Cell Biology 951
- Aging 76
- Molecular Biology 2.4k
- Neurology 478
- Immunology and Allergy 181
Countries citing papers authored by Ellen Wong
This map shows the geographic impact of Ellen Wong'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 Ellen Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ellen Wong more than expected).
Fields of papers citing papers by Ellen Wong
This network shows the impact of papers produced by Ellen Wong. 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 Ellen Wong. The network helps show where Ellen Wong may publish in the future.
Co-authors
The 25 scholars most cited alongside Ellen Wong, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | C-Cadherin Ectodomain Structure and Implications for Cell Adhesion Mechanisms Hit paper breakdown → | 2002 | 519 |
| 2 | 1991 | 488 | |
| 3 | 2001 | 436 | |
| 4 | 2015 | 341 | |
| 5 | 2003 | 258 | |
| 6 | 2006 | 226 | |
| 7 | 1990 | 218 | |
| 8 | 1972 | 211 | |
| 9 | 1970 | 187 | |
| 10 | 2001 | 183 | |
| 11 | 2020 | 154 | |
| 12 | 1991 | 111 | |
| 13 | 1997 | 99 | |
| 14 | 2021 | 76 | |
| 15 | The distinct spectra of tumor-associated Apc mutations in mismatch repair-deficient Apc1638N mice define the roles of MSH3 and MSH6 in DNA repair and intestinal tumorigenesis. | 2001 | 61 |
| 16 | 1985 | 52 | |
| 17 | 1993 | 50 | |
| 18 | 1987 | 47 | |
| 19 | 1992 | 42 | |
| 20 | 1995 | 29 |
About Ellen Wong
Ellen Wong is a scholar working on Molecular Biology, Physiology, Cell Biology, Neurology and Biochemistry, having authored 36 papers that have together received 3.9k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), Wnt/β-catenin signaling in development and cancer (5 papers), Skin and Cellular Biology Research (5 papers), Cancer-related gene regulation (4 papers), Pancreatic function and diabetes (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Adenosine and Purinergic Signaling (4 papers) and Biochemical Acid Research Studies (4 papers). The work is most often cited by research in Cell Biology (951 citations), Aging (76 citations), Molecular Biology (2.4k citations), Neurology (478 citations) and Immunology and Allergy (181 citations). Ellen Wong has collaborated with scholars based in United States, Singapore and New Zealand. Frequent co-authors include Barry M. Gumbiner, Cara J. Gottardi, Henry Furneaux, Elaine Fuchs, Josep Dalmau, Jerome B. Posner, J. Clifford Murray, Lawrence Shapiro, Titus J. Boggon and Myrna R. Rosenfeld. Their work appears in journals such as Science, The Journal of Cell Biology, Endocrinology, FEBS Letters and Cell.
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.