Felipe Diaz‐Griffero
- Virology top 0.05%
- Immunology top 0.5%
- Molecular Biology top 2%
- Infectious Diseases top 0.5%
- Epidemiology top 1%
- Co-authors
- Joseph SodroskiMatthew StremlauThomas FrickeAlberto Brandariz-NúñezTommy E. WhiteHassan JavanbakhtByeongwoon SongJosé Carlos Valle‐Casuso
- Topics
- HIV Research and Treatment (95 papers)HIV/AIDS drug development and treatment (38 papers)Cytomegalovirus and herpesvirus research (32 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Medicine
- Partner nations
- United StatesFranceSouth Korea
In The Last Decade
Felipe Diaz‐Griffero
118 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Virology 4.5k
- Immunology 2.8k
- Molecular Biology 2.6k
- Infectious Diseases 2.0k
- Epidemiology 1.8k
Countries citing papers authored by Felipe Diaz‐Griffero
This map shows the geographic impact of Felipe Diaz‐Griffero'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 Felipe Diaz‐Griffero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felipe Diaz‐Griffero more than expected).
Fields of papers citing papers by Felipe Diaz‐Griffero
This network shows the impact of papers produced by Felipe Diaz‐Griffero. 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 Felipe Diaz‐Griffero. The network helps show where Felipe Diaz‐Griffero may publish in the future.
Co-authorship network of co-authors of Felipe Diaz‐Griffero
This figure shows the co-authorship network connecting the top 25 collaborators of Felipe Diaz‐Griffero. A scholar is included among the top collaborators of Felipe Diaz‐Griffero 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 Felipe Diaz‐Griffero. Felipe Diaz‐Griffero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 34 | |
| 3 | 98 | |
| 4 | 22 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 50 | |
| 8 | 9 | |
| 9 | 129 | |
| 10 | 28 | |
| 11 | 121 | |
| 12 | 29 | |
| 13 | 13 | |
| 14 | 20 | |
| 15 | 23 | |
| 16 | 151 | |
| 17 | 258 | |
| 18 | Specific recognition and accelerated uncoating of retroviral capsids by the TRIM5α restriction factorbreakdown → | 593 |
| 19 | 102 | |
| 20 | 48 |
About Felipe Diaz‐Griffero
Felipe Diaz‐Griffero is a scholar working on Virology, Infectious Diseases and Immunology, having authored 120 papers that have together received 6.7k indexed citations. Recurring topics across this work include HIV Research and Treatment (95 papers), HIV/AIDS drug development and treatment (38 papers) and Cytomegalovirus and herpesvirus research (32 papers). The work is most often cited by research in Virology (4.5k citations), Immunology (2.8k citations) and Infectious Diseases (2.0k citations). Felipe Diaz‐Griffero has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include Joseph Sodroski, Matthew Stremlau, Thomas Fricke, Alberto Brandariz-Núñez, Tommy E. White, Hassan Javanbakht, Byeongwoon Song, José Carlos Valle‐Casuso, Baek Kim and Jürgen Brojatsch. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.
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.