Pablo de Felipe
- Biotechnology top 5%
- Genetics top 5%
- Virus-based gene therapy research 7
- Molecular Biology top 10%
- Viral Infectious Diseases and Gene Expression in Insects 7
- RNA and protein synthesis mechanisms 6
- CRISPR and Genetic Engineering 4
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- Viral Infections and Immunology Research 9
- Agronomy and Crop Science top 10%
- Animal Disease Management and Epidemiology 3
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- Plant Virus Research Studies 4
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- Animal Virus Infections Studies 3
- Co-authors
- Martin D. RyanLorraine E. HughesJeremy D. BrownGarry A. LukeDavid GaniClaire HalpinMarta IzquierdoVerónica Martı́n
- Journals
- Journal of Biological Chemistry (1 paper)Molecular and Cellular Biology (1 paper)Molecular Biology and Evolution (1 paper)
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
Pablo de Felipe
26 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 80
- Biotechnology 136
- Genetics 416
- Molecular Biology 966
- Cardiology and Cardiovascular Medicine 204
- Agronomy and Crop Science 77
Countries citing papers authored by Pablo de Felipe
This map shows the geographic impact of Pablo de Felipe'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 Pablo de Felipe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo de Felipe more than expected).
Fields of papers citing papers by Pablo de Felipe
This network shows the impact of papers produced by Pablo de Felipe. 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 Pablo de Felipe. The network helps show where Pablo de Felipe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pablo de Felipe, 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 | 2025 | 0 | |
| 2 | 2017 | 2 | |
| 3 | 2016 | 15 | |
| 4 | 2013 | 11 | |
| 5 | 2013 | 6 | |
| 6 | 2013 | 28 | |
| 7 | 2012 | 5 | |
| 8 | 2010 | 15 | |
| 9 | 2009 | 75 | |
| 10 | 2009 | 39 | |
| 11 | 2006 | 3 | |
| 12 | 2006 | 32 | |
| 13 | 2005 | 281 | |
| 14 | 2004 | 80 | |
| 15 | 2003 | 137 | |
| 16 | 2002 | 85 | |
| 17 | 2000 | 31 | |
| 18 | 1999 | 77 | |
| 19 | 1998 | 34 | |
| 20 | 1997 | 30 |
About Pablo de Felipe
Pablo de Felipe is a scholar working on Biotechnology, Cardiology and Cardiovascular Medicine and Agronomy and Crop Science, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (9 papers), Virus-based gene therapy research (7 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers), RNA and protein synthesis mechanisms (6 papers), CRISPR and Genetic Engineering (4 papers), Plant Virus Research Studies (4 papers), Animal Virus Infections Studies (3 papers) and Animal Disease Management and Epidemiology (3 papers). The work is most often cited by research in Biotechnology (136 citations), Genetics (416 citations) and Molecular Biology (966 citations). Pablo de Felipe has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Martin D. Ryan, Lorraine E. Hughes, Jeremy D. Brown, Garry A. Luke, David Gani, Claire Halpin, Garry A. Luke, Marta Izquierdo, Verónica Martı́n and Victoria A. Doronina. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Molecular Biology and Evolution.
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.