Pascal Bigey
Impact in
- Biotechnology top 2%
- Microbial Inactivation Methods
- Molecular Biology top 5%
- RNA Interference and Gene Delivery
- Epigenetics and DNA Methylation
- Advanced biosensing and bioanalysis techniques
- Cancer-related gene regulation
- RNA modifications and cancer
Papers in
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- Advanced biosensing and bioanalysis techniques 16
- RNA Interference and Gene Delivery 12
- Epigenetics and DNA Methylation 7
- CRISPR and Genetic Engineering 6
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- Microbial Inactivation Methods 11
- Co-authors
- Daniel Scherman (34 shared papers)Moshe Szyf (8 shared papers)Virginie Escriou (16 shared papers)Carole Bloquel (8 shared papers)Felipe D. Araujo (4 shared papers)Shyam Ramchandani (4 shared papers)Bernard Meunier (5 shared papers)Francine Béhar‐Cohen (9 shared papers)
In The Last Decade
Pascal Bigey
72 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 106
- Biotechnology 217
- Molecular Biology 1.3k
- Ophthalmology 135
- Genetics 353
- Immunology 220
Countries citing papers authored by Pascal Bigey
This map shows the geographic impact of Pascal Bigey'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 Pascal Bigey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Bigey more than expected).
Fields of papers citing papers by Pascal Bigey
This network shows the impact of papers produced by Pascal Bigey. 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 Pascal Bigey. The network helps show where Pascal Bigey may publish in the future.
Co-authors
The 25 scholars most cited alongside Pascal Bigey, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 107 | |
| 2 | 2000 | 72 | |
| 3 | 2011 | 71 | |
| 4 | 2011 | 68 | |
| 5 | 2006 | 59 | |
| 6 | 2002 | 56 | |
| 7 | 2004 | 55 | |
| 8 | 2001 | 55 | |
| 9 | 2005 | 53 | |
| 10 | 2012 | 53 | |
| 11 | 2020 | 52 | |
| 12 | 2011 | 51 | |
| 13 | 2007 | 51 | |
| 14 | 2012 | 49 | |
| 15 | 2002 | 48 | |
| 16 | 2007 | 48 | |
| 17 | 2017 | 47 | |
| 18 | 2008 | 46 | |
| 19 | 2001 | 46 | |
| 20 | 2007 | 44 |
About Pascal Bigey
Pascal Bigey is a scholar working on Molecular Biology, Biotechnology, Genetics, Immunology and Public Health, Environmental and Occupational Health, having authored 72 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (16 papers), RNA Interference and Gene Delivery (12 papers), Microbial Inactivation Methods (11 papers), Epigenetics and DNA Methylation (7 papers), Virus-based gene therapy research (7 papers), CRISPR and Genetic Engineering (6 papers), Toxin Mechanisms and Immunotoxins (5 papers) and Malaria Research and Control (5 papers). The work is most often cited by research in Biotechnology (217 citations), Molecular Biology (1.3k citations), Ophthalmology (135 citations), Genetics (353 citations) and Immunology (220 citations). Pascal Bigey has collaborated with scholars based in France, Canada and Benin. Frequent co-authors include Daniel Scherman, Moshe Szyf, Virginie Escriou, Carole Bloquel, Felipe D. Araujo, Shyam Ramchandani, Bernard Meunier, Francine Béhar‐Cohen, Capucine Trollet and Elodie Touchard. Their work appears in journals such as The Journal of Gene Medicine, Gene Therapy, Journal of Biological Chemistry, Journal of Controlled Release 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.