Simon Pacouret
Impact in
- Genetics top 5%
- Virus-based gene therapy research
- Sensory Systems top 10%
Papers in
-
- RNA Interference and Gene Delivery 5
- Viral Infectious Diseases and Gene Expression in Insects 4
- CRISPR and Genetic Engineering 4
- Protein purification and stability 1
- Genetics 8
- Virus-based gene therapy research 8
- Co-authors
- Luk H. Vandenberghe (6 shared papers)Eva Andrés‐Mateos (5 shared papers)Eric Zinn (4 shared papers)Anna C. Maurer (3 shared papers)Ru Xiao (4 shared papers)Lívia S. Carvalho (2 shared papers)Rajani Shelke (2 shared papers)Heikki Turunen (2 shared papers)
- Journals
- Molecular Therapy — Methods & Clinical Development (3 papers)Cell Reports (2 papers)Nature Communications (1 paper)Human Gene Therapy (1 paper)Blood (1 paper)
- Partner nations
- United StatesFranceSweden
In The Last Decade
Simon Pacouret
11 papers receiving 777 citations
Peers
Comparison fields: 5 of 78
- Genetics 425
- Sensory Systems 41
- Molecular Biology 484
- Immunology 133
- Oncology 106
Countries citing papers authored by Simon Pacouret
This map shows the geographic impact of Simon Pacouret'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 Simon Pacouret with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Pacouret more than expected).
Fields of papers citing papers by Simon Pacouret
This network shows the impact of papers produced by Simon Pacouret. 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 Simon Pacouret. The network helps show where Simon Pacouret may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Pacouret, 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 | 2015 | 243 | |
| 2 | 2013 | 150 | |
| 3 | 2019 | 66 | |
| 4 | 2022 | 61 | |
| 5 | 2022 | 56 | |
| 6 | 2017 | 55 | |
| 7 | 2018 | 49 | |
| 8 | 2018 | 45 | |
| 9 | 2024 | 37 | |
| 10 | 2019 | 24 | |
| 11 | 2024 | 3 |
About Simon Pacouret
Simon Pacouret is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Immunology and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 789 indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), RNA Interference and Gene Delivery (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), CRISPR and Genetic Engineering (4 papers), Viral gastroenteritis research and epidemiology (2 papers), Neuroscience and Neural Engineering (1 paper), Protein purification and stability (1 paper) and Retinal and Optic Conditions (1 paper). The work is most often cited by research in Genetics (425 citations), Sensory Systems (41 citations), Molecular Biology (484 citations), Immunology (133 citations) and Oncology (106 citations). Simon Pacouret has collaborated with scholars based in United States, France and Sweden. Frequent co-authors include Luk H. Vandenberghe, Eva Andrés‐Mateos, Eric Zinn, Anna C. Maurer, Ru Xiao, Lívia S. Carvalho, Rajani Shelke, Heikki Turunen, Eva Plovie and Vadim Khaychuk. Their work appears in journals such as Molecular Therapy — Methods & Clinical Development, Cell Reports, Nature Communications, Human Gene Therapy 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.