Fadia Ibrahim
Impact in
Papers in
-
- RNA Research and Splicing 9
- RNA modifications and cancer 6
- RNA and protein synthesis mechanisms 4
- RNA Interference and Gene Delivery 2
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- Amyotrophic Lateral Sclerosis Research 4
- Co-authors
- Heriberto Cerutti (4 shared papers)Christopher D. Reeves (1 shared paper)Edward F. DeLong (1 shared paper)Zissimos P. Mourelatos (8 shared papers)Andreas Schirmer (1 shared paper)C. Richard Hutchinson (1 shared paper)Manolis Maragkakis (5 shared papers)Khalid Husny Arar (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Life Science Alliance (1 paper)Nucleic Acids Research (1 paper)Applied and Environmental Microbiology (1 paper)Leukemia (1 paper)
- Partner nations
- United StatesAustraliaIsrael
In The Last Decade
Fadia Ibrahim
16 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 83
- Neurology 387
- Genetics 233
- Biotechnology 142
- Molecular Biology 832
- Pharmacology 184
Countries citing papers authored by Fadia Ibrahim
This map shows the geographic impact of Fadia Ibrahim'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 Fadia Ibrahim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fadia Ibrahim more than expected).
Fields of papers citing papers by Fadia Ibrahim
This network shows the impact of papers produced by Fadia Ibrahim. 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 Fadia Ibrahim. The network helps show where Fadia Ibrahim may publish in the future.
Co-authors
The 25 scholars most cited alongside Fadia Ibrahim, 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 | 2011 | 326 | |
| 2 | 2005 | 241 | |
| 3 | 2012 | 228 | |
| 4 | 2010 | 119 | |
| 5 | 2019 | 83 | |
| 6 | 2006 | 70 | |
| 7 | 2018 | 46 | |
| 8 | 2016 | 39 | |
| 9 | 2013 | 34 | |
| 10 | 2021 | 32 | |
| 11 | 2011 | 19 | |
| 12 | 2010 | 17 | |
| 13 | 2020 | 12 | |
| 14 | 2019 | 9 | |
| 15 | 2019 | 5 | |
| 16 | 2024 | 1 |
About Fadia Ibrahim
Fadia Ibrahim is a scholar working on Molecular Biology, Neurology, Genetics, Cancer Research and Plant Science, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA Research and Splicing (9 papers), RNA modifications and cancer (6 papers), Amyotrophic Lateral Sclerosis Research (4 papers), RNA and protein synthesis mechanisms (4 papers), Neurogenetic and Muscular Disorders Research (3 papers), Chromosomal and Genetic Variations (3 papers), RNA Interference and Gene Delivery (2 papers) and Cancer Mechanisms and Therapy (1 paper). The work is most often cited by research in Neurology (387 citations), Genetics (233 citations), Biotechnology (142 citations), Molecular Biology (832 citations) and Pharmacology (184 citations). Fadia Ibrahim has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include Heriberto Cerutti, Christopher D. Reeves, Edward F. DeLong, Zissimos P. Mourelatos, Andreas Schirmer, C. Richard Hutchinson, Manolis Maragkakis, Khalid Husny Arar, Panagiotis Alexiou and James T. Becker. Their work appears in journals such as Proceedings of the National Academy of Sciences, Life Science Alliance, Nucleic Acids Research, Applied and Environmental Microbiology and Leukemia.
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.