Brian Ell
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
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- Bone Metabolism and Diseases 2
- Cancer-related gene regulation 2
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- MicroRNA in disease regulation 4
- Protease and Inhibitor Mechanisms 2
- Co-authors
- Yibin Kang (8 shared papers)Laura Mercatali (3 shared papers)Alan C. Rapraeger (4 shared papers)Dino Amadori (3 shared papers)Toni Ibrahim (3 shared papers)DeannaLee M. Beauvais (3 shared papers)Andrea R. McWhorter (2 shared papers)Yong Wei (4 shared papers)
- Journals
- Cancer Cell (2 papers)Nature Communications (1 paper)Nature Medicine (1 paper)The FASEB Journal (1 paper)FEBS Journal (1 paper)
- Partner nations
- United StatesItalySpain
In The Last Decade
Brian Ell
13 papers receiving 1.6k citations
Brian Ell's Hit Papers
Peers
Comparison fields: 5 of 89
- Cancer Research 699
- Immunology and Allergy 139
- Oncology 530
- Cell Biology 281
- Molecular Biology 982
Countries citing papers authored by Brian Ell
This map shows the geographic impact of Brian Ell'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 Brian Ell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Ell more than expected).
Fields of papers citing papers by Brian Ell
This network shows the impact of papers produced by Brian Ell. 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 Brian Ell. The network helps show where Brian Ell may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Ell, 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 | Direct targeting of Sec23a by miR-200s influences cancer cell secretome and promotes metastatic colonization Hit paper breakdown → | 2011 | 512 |
| 2 | 2013 | 228 | |
| 3 | 2009 | 224 | |
| 4 | 2019 | 142 | |
| 5 | 2018 | 123 | |
| 6 | 2012 | 97 | |
| 7 | 2013 | 94 | |
| 8 | 2014 | 77 | |
| 9 | 2013 | 65 | |
| 10 | 2014 | 54 | |
| 11 | 2023 | 7 | |
| 12 | 2008 | 5 | |
| 13 | 2009 | 1 |
About Brian Ell
Brian Ell is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Immunology and Allergy and Oncology, having authored 13 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (5 papers), MicroRNA in disease regulation (4 papers), Proteoglycans and glycosaminoglycans research (3 papers), Bone Metabolism and Diseases (2 papers), Caveolin-1 and cellular processes (2 papers), Bone health and treatments (2 papers), Cancer-related gene regulation (2 papers) and Protease and Inhibitor Mechanisms (2 papers). The work is most often cited by research in Cancer Research (699 citations), Immunology and Allergy (139 citations), Oncology (530 citations), Cell Biology (281 citations) and Molecular Biology (982 citations). Brian Ell has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Yibin Kang, Laura Mercatali, Alan C. Rapraeger, Dino Amadori, Toni Ibrahim, DeannaLee M. Beauvais, Andrea R. McWhorter, Yong Wei, Toni Celià-Terrassa and Andrés Blanco. Their work appears in journals such as Cancer Cell, Nature Communications, Nature Medicine, The FASEB Journal and FEBS Journal.
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.