Michael Dews
- Molecular Biology top 5%
- Cancer Research top 0.5%
- Oncology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Immunology top 10%
- Co-authors
- Andrei Thomas‐TikhonenkoDuonan YuRenato BasergaErik A. WentzelJoshua T. MendellEmma E. FurthCinzia SevignaniDanielle Murphy
- Topics
- Growth Hormone and Insulin-like Growth Factors (6 papers)Metabolism, Diabetes, and Cancer (6 papers)TGF-β signaling in diseases (5 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Michael Dews
25 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Molecular Biology 2.5k
- Cancer Research 1.7k
- Oncology 520
- Endocrinology, Diabetes and Metabolism 359
- Immunology 252
Countries citing papers authored by Michael Dews
This map shows the geographic impact of Michael Dews'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 Michael Dews with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Dews more than expected).
Fields of papers citing papers by Michael Dews
This network shows the impact of papers produced by Michael Dews. 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 Michael Dews. The network helps show where Michael Dews may publish in the future.
Co-authorship network of co-authors of Michael Dews
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Dews. A scholar is included among the top collaborators of Michael Dews 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 Michael Dews. Michael Dews is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 43 | |
| 3 | 135 | |
| 4 | The miR-17-92 microRNA cluster regulates multiple components of the TGF-β pathway in neuroblastoma | 41 |
| 5 | 252 | |
| 6 | 68 | |
| 7 | 39 | |
| 8 | 321 | |
| 9 | 44 | |
| 10 | 1 | |
| 11 | Augmentation of tumor angiogenesis by a Myc-activated microRNA clusterbreakdown → | 851 |
| 12 | 24 | |
| 13 | 197 | |
| 14 | 29 | |
| 15 | 30 | |
| 16 | 14 | |
| 17 | 427 | |
| 18 | 68 | |
| 19 | 54 | |
| 20 | 9 |
About Michael Dews
Michael Dews is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Oncology, having authored 25 papers that have together received 3.1k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (6 papers), Metabolism, Diabetes, and Cancer (6 papers) and TGF-β signaling in diseases (5 papers). The work is most often cited by research in Cancer Research (1.7k citations), Molecular Biology (2.5k citations) and Endocrinology, Diabetes and Metabolism (359 citations). Michael Dews has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Andrei Thomas‐Tikhonenko, Duonan Yu, Renato Baserga, Erik A. Wentzel, Joshua T. Mendell, Emma E. Furth, Cinzia Sevignani, Danielle Murphy, William M. Lee and Greg H. Enders. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Blood.
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.