Ellis W.T. Wong
- Molecular Biology top 5%
- Oncology top 5%
- Cancer Research top 5%
- Pathology and Forensic Medicine top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- James A. McCubreyMassimo LibraLinda S. SteelmanFranca StivalaWilliam H. ChappellAlberto M. MartelliStephen L. AbramsRichard A. Franklin
- Topics
- PI3K/AKT/mTOR signaling in cancer (7 papers)Melanoma and MAPK Pathways (5 papers)Protein Kinase Regulation and GTPase Signaling (3 papers)
- Journals
- BloodCancer ResearchOncogene
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Ellis W.T. Wong
10 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 1.6k
- Oncology 727
- Cancer Research 393
- Pathology and Forensic Medicine 295
- Pulmonary and Respiratory Medicine 218
Countries citing papers authored by Ellis W.T. Wong
This map shows the geographic impact of Ellis W.T. 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 Ellis W.T. Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ellis W.T. Wong more than expected).
Fields of papers citing papers by Ellis W.T. Wong
This network shows the impact of papers produced by Ellis W.T. 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 Ellis W.T. Wong. The network helps show where Ellis W.T. Wong may publish in the future.
Co-authorship network of co-authors of Ellis W.T. Wong
This figure shows the co-authorship network connecting the top 25 collaborators of Ellis W.T. Wong. A scholar is included among the top collaborators of Ellis W.T. Wong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ellis W.T. Wong. Ellis W.T. Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 70 | |
| 3 | 103 | |
| 4 | 66 | |
| 5 | 130 | |
| 6 | 67 | |
| 7 | Activation of MAPK and AKT pathways by BRAF, NRAS and PIK3CA mutations in melanoma | 1 |
| 8 | Role of the PI3K/Akt pathway in promoting drug resistance of human pancreatic cells | 1 |
| 9 | Roles of the Raf/MEK/ERK pathway in cell growth, malignant transformation and drug resistancebreakdown → | 1853 |
| 10 | 1 |
About Ellis W.T. Wong
Ellis W.T. Wong is a scholar working on Molecular Biology, Oncology and Organic Chemistry, having authored 10 papers that have together received 2.3k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (7 papers), Melanoma and MAPK Pathways (5 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Oncology (727 citations), Cancer Research (393 citations) and Molecular Biology (1.6k citations). Ellis W.T. Wong has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include James A. McCubrey, Massimo Libra, Linda S. Steelman, Franca Stivala, William H. Chappell, Alberto M. Martelli, Stephen L. Abrams, Richard A. Franklin, Jörg Bäsecke and David M. Terrian. Their work appears in journals such as Blood, Cancer Research and Oncogene.
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.