Safa Taha

553 citations
39 papers · 405 · h-index 11

Impact in

Papers in

    • RNA Interference and Gene Delivery 2
    • Immune Response and Inflammation 4
    • interferon and immune responses 3
    • Immune Cell Function and Interaction 3
    • Immunotherapy and Immune Responses 2

Safa Taha

35 papers receiving 391 citations

Peers

Safa Taha
Comparison fields: 5 of 84
  • Molecular Medicine 28
  • Neurology 33
  • Pharmaceutical Science 23
  • Biomaterials 40
  • Toxicology 9
Replace Ming Yao with:
Ming Yao China
Fen Qiu China
Anton Lennikov United States
Jianping Zhu China
Carine Cristiane Drewes Brazil
Jessica Dragotto Italy
Zhen Gu China
Rosa M. Coco Spain
Alexey Vanichkin Israel
Safa Taha relative to Ming Yao China Ming Yao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Safa Taha

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Safa Taha Line = papers co-authored together Safa Taha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200759
2 201857
3 201841
4 202038
5 200632
6 202022
7 201916
8 201611
9 201711
10 201110
11 201910
12 201310
13 20089
14 20148
15 20097
16 20227
17 20187
18 20217
19 20176
20 20216

About Safa Taha

Safa Taha is a scholar working on Molecular Biology, Immunology, Oncology, Epidemiology and Pharmacology, having authored 39 papers that have together received 405 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (4 papers), Immune Response and Inflammation (4 papers), interferon and immune responses (3 papers), Immune Cell Function and Interaction (3 papers), RNA Interference and Gene Delivery (2 papers), Cannabis and Cannabinoid Research (2 papers), Immunotherapy and Immune Responses (2 papers) and Hemoglobinopathies and Related Disorders (2 papers). The work is most often cited by research in Molecular Medicine (28 citations), Neurology (33 citations), Pharmaceutical Science (23 citations), Biomaterials (40 citations) and Toxicology (9 citations). Safa Taha has collaborated with scholars based in Bahrain, United States and Ireland. Frequent co-authors include Moiz Bakhiet, Sébastien Taurin, Khaled Greish, Salim Fredericks, Fiza Rashid‐Doubell, Valeria Pittalà, Fatemah Bahman, Jawdat Abdulla, Noureddine Ben Khalaf and Ibrahim M. El‐Deeb. Their work appears in journals such as International Journal of Molecular Sciences, Biomedical Reports, PLoS ONE, Pharmaceutics and International Journal of Infectious Diseases.

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.

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