Rashed Abdullah
Impact in
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- Growth Hormone and Insulin-like Growth Factors
- Virology top 10%
Papers in
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- Wnt/β-catenin signaling in development and cancer 1
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- Parkinson's Disease Mechanisms and Treatments 4
- Neurological diseases and metabolism 2
- Co-authors
- Zhenping Zhu (2 shared papers)Daniel J. Hicklin (2 shared papers)Peter Böhlen (2 shared papers)Paul Kussie (2 shared papers)Douglas Burtrum (1 shared paper)Marie Prewett (1 shared paper)Daniel S. Pereira (1 shared paper)Danielle P. Johnson (1 shared paper)
- Journals
- Blood (1 paper)Vaccine (1 paper)Oncotarget (1 paper)Experimental Gerontology (1 paper)Journal of Virology (1 paper)
- Partner nations
- United StatesNorwayCanada
In The Last Decade
Rashed Abdullah
10 papers receiving 655 citations
Peers
Comparison fields: 5 of 75
- Endocrinology, Diabetes and Metabolism 181
- Virology 38
- Cancer Research 113
- Biotechnology 52
- Molecular Biology 364
Countries citing papers authored by Rashed Abdullah
This map shows the geographic impact of Rashed Abdullah'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 Rashed Abdullah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rashed Abdullah more than expected).
Fields of papers citing papers by Rashed Abdullah
This network shows the impact of papers produced by Rashed Abdullah. 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 Rashed Abdullah. The network helps show where Rashed Abdullah may publish in the future.
Co-authors
The 25 scholars most cited alongside Rashed Abdullah, 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 | A fully human monoclonal antibody to the insulin-like growth factor I receptor blocks ligand-dependent signaling and inhibits human tumor growth in vivo. | 2003 | 298 |
| 2 | 2007 | 154 | |
| 3 | 2005 | 80 | |
| 4 | 2014 | 59 | |
| 5 | 2016 | 37 | |
| 6 | 2007 | 24 | |
| 7 | 2014 | 16 | |
| 8 | 2016 | 9 | |
| 9 | 2021 | 5 | |
| 10 | 2024 | 2 |
About Rashed Abdullah
Rashed Abdullah is a scholar working on Molecular Biology, Neurology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 684 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Neurological diseases and metabolism (2 papers), CAR-T cell therapy research (2 papers), Alzheimer's disease research and treatments (1 paper), Galectins and Cancer Biology (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Wnt/β-catenin signaling in development and cancer (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (181 citations), Virology (38 citations), Cancer Research (113 citations), Biotechnology (52 citations) and Molecular Biology (364 citations). Rashed Abdullah has collaborated with scholars based in United States, Norway and Canada. Frequent co-authors include Zhenping Zhu, Daniel J. Hicklin, Peter Böhlen, Paul Kussie, Douglas Burtrum, Marie Prewett, Daniel S. Pereira, Danielle P. Johnson, Larry Witte and Simon Geir Møller. Their work appears in journals such as Blood, Vaccine, Oncotarget, Experimental Gerontology and Journal of Virology.
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.