Pablo de Felipe
- Molecular Biology top 10%
- Genetics top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Plant Science
- Immunology
- Co-authors
- Martin D. RyanLorraine E. HughesJeremy D. BrownGarry A. LukeDavid GaniClaire HalpinMarta IzquierdoVerónica Martı́n
- Topics
- Viral Infections and Immunology Research (9 papers)Virus-based gene therapy research (7 papers)Viral Infectious Diseases and Gene Expression in Insects (7 papers)
- Journals
- Journal of Biological ChemistryMolecular and Cellular BiologyMolecular Biology and Evolution
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
Pablo de Felipe
26 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 966
- Genetics 416
- Cardiology and Cardiovascular Medicine 204
- Plant Science 143
- Immunology 142
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 of co-authors of Pablo de Felipe
This figure shows the co-authorship network connecting the top 25 collaborators of Pablo de Felipe. A scholar is included among the top collaborators of Pablo de Felipe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pablo de Felipe. Pablo de Felipe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 15 | |
| 4 | 11 | |
| 5 | 6 | |
| 6 | 28 | |
| 7 | 5 | |
| 8 | 15 | |
| 9 | 75 | |
| 10 | 39 | |
| 11 | 3 | |
| 12 | 32 | |
| 13 | 281 | |
| 14 | 80 | |
| 15 | 137 | |
| 16 | 85 | |
| 17 | 31 | |
| 18 | 77 | |
| 19 | 34 | |
| 20 | 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) and Viral Infectious Diseases and Gene Expression in Insects (7 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.