Mehdi Gasmi
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 2%
- Genetics top 5%
- Neurology top 2%
- Developmental Neuroscience top 2%
- Co-authors
- Raymond T. BartusChristopher D. HerzogJeffrey H. KordowerBiplob DassKathie M. BishopEugene P. BrandonMark H. TuszynskiDouglas J. Jolly
- Topics
- Virus-based gene therapy research (14 papers)RNA Interference and Gene Delivery (13 papers)Nerve injury and regeneration (12 papers)
- Partner nations
- United StatesFranceAlgeria
In The Last Decade
Mehdi Gasmi
45 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 1.0k
- Cellular and Molecular Neuroscience 826
- Genetics 662
- Neurology 480
- Developmental Neuroscience 224
Countries citing papers authored by Mehdi Gasmi
This map shows the geographic impact of Mehdi Gasmi'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 Mehdi Gasmi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mehdi Gasmi more than expected).
Fields of papers citing papers by Mehdi Gasmi
This network shows the impact of papers produced by Mehdi Gasmi. 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 Mehdi Gasmi. The network helps show where Mehdi Gasmi may publish in the future.
Co-authorship network of co-authors of Mehdi Gasmi
This figure shows the co-authorship network connecting the top 25 collaborators of Mehdi Gasmi. A scholar is included among the top collaborators of Mehdi Gasmi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mehdi Gasmi. Mehdi Gasmi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 37 | |
| 3 | 23 | |
| 4 | Immunological response and durability of expression following sequential intravitreal administration of AAV2.7m8 gene therapy to the contralateral eye in non-human primates | 2 |
| 5 | 25 | |
| 6 | 1 | |
| 7 | 102 | |
| 8 | 63 | |
| 9 | 114 | |
| 10 | 97 | |
| 11 | 29 | |
| 12 | 40 | |
| 13 | 195 | |
| 14 | 125 | |
| 15 | 79 | |
| 16 | 24 | |
| 17 | 1 | |
| 18 | 10 | |
| 19 | 158 | |
| 20 | 45 |
About Mehdi Gasmi
Mehdi Gasmi is a scholar working on Ophthalmology, Cellular and Molecular Neuroscience and Genetics, having authored 46 papers that have together received 2.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (14 papers), RNA Interference and Gene Delivery (13 papers) and Nerve injury and regeneration (12 papers). The work is most often cited by research in Developmental Neuroscience (224 citations), Cellular and Molecular Neuroscience (826 citations) and Neurology (480 citations). Mehdi Gasmi has collaborated with scholars based in United States, France and Algeria. Frequent co-authors include Raymond T. Bartus, Christopher D. Herzog, Jeffrey H. Kordower, Biplob Dass, Kathie M. Bishop, Eugene P. Brandon, Mark H. Tuszynski, Douglas J. Jolly, Jiing‐Kuan Yee and Jeffrey H. Kordower. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Blood.
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.