Silvana Opp
Impact in
- Virology top 2%
- HIV Research and Treatment
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
Papers in
- Virology 15
- HIV Research and Treatment 15
- Co-authors
- Felipe Diaz‐Griffero (16 shared papers)Cindy Buffone (10 shared papers)Jürgen G. Okun (7 shared papers)Stefan Kölker (7 shared papers)Bianca Schulte (4 shared papers)Sven W. Sauer (5 shared papers)Sven W. Sauer (3 shared papers)Georg F. Hoffmann (3 shared papers)
- Journals
- Journal of Virology (6 papers)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (3 papers)Retrovirology (3 papers)Journal of Inherited Metabolic Disease (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Silvana Opp
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 83
- Virology 408
- Clinical Biochemistry 177
- Infectious Diseases 287
- Immunology 262
- Biochemistry 79
Countries citing papers authored by Silvana Opp
This map shows the geographic impact of Silvana Opp'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 Silvana Opp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvana Opp more than expected).
Fields of papers citing papers by Silvana Opp
This network shows the impact of papers produced by Silvana Opp. 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 Silvana Opp. The network helps show where Silvana Opp may publish in the future.
Co-authors
The 25 scholars most cited alongside Silvana Opp, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 165 | |
| 2 | 2010 | 89 | |
| 3 | 2016 | 89 | |
| 4 | 2017 | 85 | |
| 5 | 2018 | 81 | |
| 6 | 2010 | 60 | |
| 7 | 2015 | 56 | |
| 8 | 2014 | 47 | |
| 9 | 2016 | 45 | |
| 10 | 2015 | 43 | |
| 11 | 2011 | 42 | |
| 12 | 2017 | 39 | |
| 13 | 2016 | 39 | |
| 14 | 2015 | 39 | |
| 15 | 2014 | 30 | |
| 16 | 2015 | 18 | |
| 17 | 2019 | 17 | |
| 18 | 2009 | 17 | |
| 19 | 2019 | 16 | |
| 20 | 2015 | 14 |
About Silvana Opp
Silvana Opp is a scholar working on Virology, Molecular Biology, Infectious Diseases, Immunology and Clinical Biochemistry, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (15 papers), HIV/AIDS drug development and treatment (9 papers), Metabolism and Genetic Disorders (6 papers), Virus-based gene therapy research (5 papers), Amino Acid Enzymes and Metabolism (4 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (4 papers) and HIV/AIDS Research and Interventions (3 papers). The work is most often cited by research in Virology (408 citations), Clinical Biochemistry (177 citations), Infectious Diseases (287 citations), Immunology (262 citations) and Biochemistry (79 citations). Silvana Opp has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Felipe Diaz‐Griffero, Cindy Buffone, Jürgen G. Okun, Stefan Kölker, Bianca Schulte, Sven W. Sauer, Sven W. Sauer, Georg F. Hoffmann, Marcin M. Kamiński and Francesca Di Nunzio. Their work appears in journals such as Journal of Virology, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Retrovirology, Journal of Inherited Metabolic Disease and International Journal of Molecular Sciences.
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.