Rashed Abdullah
Impact in
-
- Growth Hormone and Insulin-like Growth Factors
- Virology top 10%
Papers in
-
- Parkinson's Disease Mechanisms and Treatments 4
- Neurological diseases and metabolism 2
- Co-authors
- Daniel J. Hicklin (2 shared papers)Zhenping Zhu (2 shared papers)Paul H. Kussie (2 shared papers)Peter Böhlen (2 shared papers)Simon Geir Møller (4 shared papers)Indranil Basak (4 shared papers)Dale L. Ludwig (2 shared papers)Marie C. Prewett (1 shared paper)
- Journals
- Journal of Virology (2 papers)Science Translational Medicine (1 paper)Vaccine (1 paper)Oncotarget (1 paper)Antibody Therapeutics (1 paper)
- Partner nations
- United StatesNorway
In The Last Decade
Rashed Abdullah
12 papers receiving 716 citations
Peers
Comparison fields: 5 of 76
- Endocrinology, Diabetes and Metabolism 172
- Virology 42
- Cancer Research 106
- Biotechnology 53
- Molecular Biology 346
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 | 315 |
| 2 | 2007 | 171 | |
| 3 | 2005 | 78 | |
| 4 | 2014 | 65 | |
| 5 | 2016 | 41 | |
| 6 | 2014 | 29 | |
| 7 | 2007 | 27 | |
| 8 | 2014 | 16 | |
| 9 | 2016 | 11 | |
| 10 | 2021 | 6 | |
| 11 | 2024 | 4 | |
| 12 | 2025 | 3 |
About Rashed Abdullah
Rashed Abdullah is a scholar working on Neurology, Neurology, Cellular and Molecular Neuroscience, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 766 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (4 papers), Neurological diseases and metabolism (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), RNA Interference and Gene Delivery (2 papers), Glycosylation and Glycoproteins Research (1 paper), RNA modifications and cancer (1 paper), interferon and immune responses (1 paper) and Respiratory viral infections research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (172 citations), Virology (42 citations), Cancer Research (106 citations), Biotechnology (53 citations) and Molecular Biology (346 citations). Rashed Abdullah has collaborated with scholars based in United States and Norway. Frequent co-authors include Daniel J. Hicklin, Zhenping Zhu, Paul H. Kussie, Peter Böhlen, Simon Geir Møller, Indranil Basak, Dale L. Ludwig, Marie C. Prewett, Danielle P. Johnson Erickson and Rajiv Bassi. Their work appears in journals such as Journal of Virology, Science Translational Medicine, Vaccine, Oncotarget and Antibody Therapeutics.
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.