Rachida Abes
Impact in
- Molecular Biology top 10%
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- DNA and Nucleic Acid Chemistry
- RNA Research and Splicing
- Muscle Physiology and Disorders
- Lipid Membrane Structure and Behavior
- Microbiology top 10%
- Antimicrobial Peptides and Activities
Papers in
-
- RNA Interference and Gene Delivery 13
- Advanced biosensing and bioanalysis techniques 12
- DNA and Nucleic Acid Chemistry 4
- RNA Research and Splicing 4
- RNA and protein synthesis mechanisms 1
- Genetics 7
- Virus-based gene therapy research 7
- Co-authors
- Bernard Lebleu (13 shared papers)Michael J. Gait (11 shared papers)Andrey Arzumanov (10 shared papers)Gabriela D. Ivanova (7 shared papers)Amer F. Saleh (3 shared papers)Saïd Abes (5 shared papers)Fatouma Saïd Hassane (4 shared papers)Patrick L. Iversen (4 shared papers)
- Journals
- Nucleic Acids Research (2 papers)Bioconjugate Chemistry (2 papers)Journal of Controlled Release (2 papers)Journal of Peptide Science (1 paper)Cellular and Molecular Life Sciences (1 paper)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Rachida Abes
14 papers receiving 872 citations
Peers
Comparison fields: 5 of 59
- Molecular Biology 845
- Microbiology 68
- Genetics 191
- Biomaterials 60
- Genetics 44
Countries citing papers authored by Rachida Abes
This map shows the geographic impact of Rachida Abes'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 Rachida Abes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachida Abes more than expected).
Fields of papers citing papers by Rachida Abes
This network shows the impact of papers produced by Rachida Abes. 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 Rachida Abes. The network helps show where Rachida Abes may publish in the future.
Co-authors
The 25 scholars most cited alongside Rachida Abes, 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 | 2009 | 174 | |
| 2 | 2008 | 141 | |
| 3 | 2007 | 136 | |
| 4 | 2009 | 100 | |
| 5 | 2007 | 98 | |
| 6 | 2008 | 72 | |
| 7 | 2008 | 44 | |
| 8 | 2010 | 39 | |
| 9 | 2009 | 24 | |
| 10 | 2011 | 21 | |
| 11 | 2008 | 16 | |
| 12 | 2008 | 13 | |
| 13 | 2010 | 3 | |
| 14 | 2008 | 3 |
About Rachida Abes
Rachida Abes is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Organic Chemistry and Surgery, having authored 14 papers that have together received 884 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (13 papers), Advanced biosensing and bioanalysis techniques (12 papers), Virus-based gene therapy research (7 papers), DNA and Nucleic Acid Chemistry (4 papers), RNA Research and Splicing (4 papers) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Molecular Biology (845 citations), Microbiology (68 citations), Genetics (191 citations), Biomaterials (60 citations) and Genetics (44 citations). Rachida Abes has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Bernard Lebleu, Michael J. Gait, Andrey Arzumanov, Gabriela D. Ivanova, Amer F. Saleh, Saïd Abes, Fatouma Saïd Hassane, Patrick L. Iversen, Hong M. Moulton and HaiFang Yin. Their work appears in journals such as Nucleic Acids Research, Bioconjugate Chemistry, Journal of Controlled Release, Journal of Peptide Science and Cellular and Molecular Life Sciences.
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.