Michel Perricaudet
- Genetics top 0.05%
- Virus-based gene therapy research 101
- Molecular Biology top 0.5%
- Viral Infectious Diseases and Gene Expression in Insects 40
- RNA Interference and Gene Delivery 30
- CRISPR and Genetic Engineering 16
- Angiogenesis and VEGF in Cancer 16
- Oncology top 0.5%
- CAR-T cell therapy research 22
- Viral-associated cancers and disorders 16
- Immunology top 1%
- Infectious Diseases top 1%
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- Cell Adhesion Molecules Research 13
- Co-authors
- Leslie D. Stratford-PerricaudetPascale BriandPatrice YehAndréa PaviraniPaule OpolonEmmanuelle VigneMyriam BodescotUlf Pettersson
- Cited by
- GeneticsMolecular BiologyOncology
- Partner nations
- FranceUnited StatesSweden
In The Last Decade
Michel Perricaudet
173 papers receiving 12.8k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Genetics 6.7k
- Molecular Biology 7.9k
- Oncology 3.1k
- Immunology 1.8k
- Infectious Diseases 1.5k
Countries citing papers authored by Michel Perricaudet
This map shows the geographic impact of Michel Perricaudet'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 Michel Perricaudet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel Perricaudet more than expected).
Fields of papers citing papers by Michel Perricaudet
This network shows the impact of papers produced by Michel Perricaudet. 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 Michel Perricaudet. The network helps show where Michel Perricaudet may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michel Perricaudet, 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 | 2010 | 15 | |
| 2 | 2008 | 75 | |
| 3 | 2007 | 53 | |
| 4 | 2006 | 4 | |
| 5 | 2002 | 6 | |
| 6 | 2001 | 5 | |
| 7 | Adenovirus-mediated transfer of the thyroid sodium/iodide symporter gene into tumors for a targeted radiotherapy. | 2000 | 188 |
| 8 | 2000 | 23 | |
| 9 | Dendritic cells directly trigger NK cell functions: Cross-talk relevant in innate anti-tumor immune responses in vivobreakdown → | 1999 | 857 |
| 10 | 1999 | 9 | |
| 11 | 1997 | 63 | |
| 12 | 1997 | 5 | |
| 13 | 1996 | 47 | |
| 14 | 1996 | 3 | |
| 15 | 1995 | 86 | |
| 16 | Adenovirus mediated gene transfer to the central nervous system. | 1994 | 2 |
| 17 | 1994 | 77 | |
| 18 | 1993 | 172 | |
| 19 | 1991 | 28 | |
| 20 | 1989 | 1 |
About Michel Perricaudet
Michel Perricaudet is a scholar working on Genetics, Immunology and Allergy and Oncology, having authored 173 papers that have together received 13.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (101 papers), Viral Infectious Diseases and Gene Expression in Insects (40 papers), RNA Interference and Gene Delivery (30 papers), CAR-T cell therapy research (22 papers), CRISPR and Genetic Engineering (16 papers), Viral-associated cancers and disorders (16 papers), Angiogenesis and VEGF in Cancer (16 papers) and Cell Adhesion Molecules Research (13 papers). The work is most often cited by research in Genetics (6.7k citations), Molecular Biology (7.9k citations) and Oncology (3.1k citations). Michel Perricaudet has collaborated with scholars based in France, United States and Sweden. Frequent co-authors include Leslie D. Stratford-Perricaudet, Pascale Briand, Patrice Yeh, Andréa Pavirani, Paule Opolon, Emmanuelle Vigne, Myriam Bodescot, Ulf Pettersson, Melissa A. Rosenfeld and Göran Akusjärvi. Their work appears in journals such as Nature, Science and Cell.
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.