Felipe Diaz‐Griffero
- Virology top 0.05%
- HIV Research and Treatment 95
- Immunology top 0.5%
- interferon and immune responses 30
- Immune Cell Function and Interaction 21
- Infectious Diseases top 0.5%
- HIV/AIDS drug development and treatment 38
- Epidemiology top 1%
- Cytomegalovirus and herpesvirus research 32
- Herpesvirus Infections and Treatments 15
- Molecular Biology top 2%
- Nuclear Structure and Function 13
- RNA Research and Splicing 12
- Co-authors
- Joseph SodroskiMatthew StremlauThomas FrickeAlberto Brandariz-NúñezTommy E. WhiteHassan JavanbakhtByeongwoon SongJosé Carlos Valle‐Casuso
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Journal of Biological Chemistry (5 papers)Nature Medicine (1 paper)
- 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
- Infectious Diseases 2.0k
- Epidemiology 1.8k
- Molecular Biology 2.6k
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
The 25 scholars most cited alongside Felipe Diaz‐Griffero, 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 | 2024 | 1 | |
| 2 | 2021 | 34 | |
| 3 | 2020 | 98 | |
| 4 | 2018 | 22 | |
| 5 | 2016 | 9 | |
| 6 | 2014 | 1 | |
| 7 | 2013 | 50 | |
| 8 | 2013 | 9 | |
| 9 | 2013 | 129 | |
| 10 | 2013 | 28 | |
| 11 | 2012 | 121 | |
| 12 | 2012 | 29 | |
| 13 | 2012 | 13 | |
| 14 | 2011 | 20 | |
| 15 | 2010 | 23 | |
| 16 | 2009 | 151 | |
| 17 | 2009 | 258 | |
| 18 | Specific recognition and accelerated uncoating of retroviral capsids by the TRIM5α restriction factorbreakdown → | 2006 | 593 |
| 19 | 2006 | 102 | |
| 20 | 2005 | 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), Cytomegalovirus and herpesvirus research (32 papers), interferon and immune responses (30 papers), Immune Cell Function and Interaction (21 papers), Herpesvirus Infections and Treatments (15 papers), Nuclear Structure and Function (13 papers) and RNA Research and Splicing (12 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.