Philippe Erbs
Impact in
- Genetics top 2%
- Virus-based gene therapy research
- Biotechnology top 2%
- Cancer Research and Treatments
Papers in
- Co-authors
- Richard Jund (5 shared papers)Françoise Exinger (3 shared papers)Jacqueline Kintz (5 shared papers)Johann Foloppe (18 shared papers)Pascale Cordier (7 shared papers)Annie Findeli (6 shared papers)Xavier Préville (5 shared papers)Éric Quéméneur (13 shared papers)
- Journals
- Molecular Therapy — Oncolytics (6 papers)OncoImmunology (5 papers)Current Genetics (3 papers)Cancer Gene Therapy (3 papers)Cancers (2 papers)
- Partner nations
- FranceUnited KingdomGermany
In The Last Decade
Philippe Erbs
49 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 71
- Genetics 955
- Biotechnology 229
- Oncology 562
- Virology 55
- Immunology 210
Countries citing papers authored by Philippe Erbs
This map shows the geographic impact of Philippe Erbs'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 Philippe Erbs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Erbs more than expected).
Fields of papers citing papers by Philippe Erbs
This network shows the impact of papers produced by Philippe Erbs. 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 Philippe Erbs. The network helps show where Philippe Erbs may publish in the future.
Co-authors
The 25 scholars most cited alongside Philippe Erbs, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | In vivo cancer gene therapy by adenovirus-mediated transfer of a bifunctional yeast cytosine deaminase/uracil phosphoribosyltransferase fusion gene. | 2000 | 184 |
| 2 | 2015 | 98 | |
| 3 | 2008 | 90 | |
| 4 | 2016 | 87 | |
| 5 | 2014 | 82 | |
| 6 | 2019 | 81 | |
| 7 | 2003 | 80 | |
| 8 | 2016 | 55 | |
| 9 | 1997 | 50 | |
| 10 | 2002 | 49 | |
| 11 | 1999 | 46 | |
| 12 | 2007 | 41 | |
| 13 | 2017 | 40 | |
| 14 | 2010 | 39 | |
| 15 | 2012 | 34 | |
| 16 | 2015 | 33 | |
| 17 | 2022 | 30 | |
| 18 | 2016 | 30 | |
| 19 | 2019 | 30 | |
| 20 | 2017 | 27 |
About Philippe Erbs
Philippe Erbs is a scholar working on Genetics, Oncology, Biotechnology, Virology and Molecular Biology, having authored 51 papers that have together received 1.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (40 papers), CAR-T cell therapy research (16 papers), Viral Infectious Diseases and Gene Expression in Insects (12 papers), Cancer Research and Treatments (8 papers), Immunotherapy and Immune Responses (8 papers), RNA Interference and Gene Delivery (5 papers), Poxvirus research and outbreaks (5 papers) and Herpesvirus Infections and Treatments (5 papers). The work is most often cited by research in Genetics (955 citations), Biotechnology (229 citations), Oncology (562 citations), Virology (55 citations) and Immunology (210 citations). Philippe Erbs has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Richard Jund, Françoise Exinger, Jacqueline Kintz, Johann Foloppe, Pascale Cordier, Annie Findeli, Xavier Préville, Éric Quéméneur, Etienne Régulier and Majid Mehtali. Their work appears in journals such as Molecular Therapy — Oncolytics, OncoImmunology, Current Genetics, Cancer Gene Therapy and Cancers.
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.