Safa Taha
Impact in
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- Curcumin's Biomedical Applications
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- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Immune Response and Inflammation 4
- Immune Cell Function and Interaction 3
- interferon and immune responses 3
- T-cell and B-cell Immunology 2
- Co-authors
- Moiz Bakhiet (25 shared papers)Khaled Greish (7 shared papers)Sébastien Taurin (6 shared papers)Salim Fredericks (3 shared papers)Fiza Rashid‐Doubell (2 shared papers)Valeria Pittalà (2 shared papers)Jawdat Abdulla (1 shared paper)Noureddine Ben Khalaf (5 shared papers)
- Journals
- International Journal of Molecular Sciences (4 papers)Biomedical Reports (3 papers)PLoS ONE (2 papers)Multiple Sclerosis and Related Disorders (1 paper)Scientific Reports (1 paper)
- Partner nations
- BahrainUnited StatesSaudi Arabia
In The Last Decade
Safa Taha
33 papers receiving 375 citations
Peers
Comparison fields: 5 of 85
- Molecular Medicine 29
- Neurology 37
- Pharmaceutical Science 25
- Biomaterials 42
- Toxicology 11
Countries citing papers authored by Safa Taha
This map shows the geographic impact of Safa Taha'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 Safa Taha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Safa Taha more than expected).
Fields of papers citing papers by Safa Taha
This network shows the impact of papers produced by Safa Taha. 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 Safa Taha. The network helps show where Safa Taha may publish in the future.
Co-authors
The 25 scholars most cited alongside Safa Taha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 57 | |
| 2 | 2018 | 54 | |
| 3 | 2018 | 39 | |
| 4 | 2020 | 37 | |
| 5 | 2006 | 31 | |
| 6 | 2020 | 22 | |
| 7 | 2019 | 15 | |
| 8 | 2017 | 11 | |
| 9 | 2016 | 11 | |
| 10 | 2011 | 10 | |
| 11 | 2019 | 10 | |
| 12 | 2013 | 9 | |
| 13 | 2008 | 9 | |
| 14 | 2018 | 7 | |
| 15 | 2014 | 7 | |
| 16 | 2009 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2017 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2019 | 5 |
About Safa Taha
Safa Taha is a scholar working on Molecular Biology, Immunology, Oncology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 39 papers that have together received 388 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (5 papers), Immune Response and Inflammation (4 papers), Immune Cell Function and Interaction (3 papers), Hemoglobinopathies and Related Disorders (3 papers), interferon and immune responses (3 papers), Multiple Sclerosis Research Studies (3 papers), Nanoparticle-Based Drug Delivery (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Molecular Medicine (29 citations), Neurology (37 citations), Pharmaceutical Science (25 citations), Biomaterials (42 citations) and Toxicology (11 citations). Safa Taha has collaborated with scholars based in Bahrain, United States and Saudi Arabia. Frequent co-authors include Moiz Bakhiet, Khaled Greish, Sébastien Taurin, Salim Fredericks, Fiza Rashid‐Doubell, Valeria Pittalà, Jawdat Abdulla, Noureddine Ben Khalaf, Ibrahim M. El‐Deeb and Michael B. Keogh. Their work appears in journals such as International Journal of Molecular Sciences, Biomedical Reports, PLoS ONE, Multiple Sclerosis and Related Disorders and Scientific Reports.
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.