Daniel Bruno
Impact in
- Virology top 2%
- Poxvirus research and outbreaks
- HIV Research and Treatment
- Parasitology top 5%
- Parasitic Infections and Diagnostics
Papers in
- Virology 17
- HIV Research and Treatment 10
- Poxvirus research and outbreaks 7
-
- HIV/AIDS Research and Interventions 5
- HIV/AIDS drug development and treatment 3
- Co-authors
- Craig Martens (26 shared papers)Stephen F. Porcella (17 shared papers)Bernard Moss (7 shared papers)Zhilong Yang (5 shared papers)Stacy Ricklefs (4 shared papers)Andrew D. Redd (13 shared papers)Theodore E. Nash (1 shared paper)Rodney D. Adam (1 shared paper)
- Journals
- Journal of Virology (3 papers)AIDS (3 papers)The Journal of Infectious Diseases (3 papers)Proceedings of the National Academy of Sciences (3 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesUgandaSouth Africa
In The Last Decade
Daniel Bruno
27 papers receiving 755 citations
Peers
Comparison fields: 5 of 73
- Virology 388
- Parasitology 88
- Infectious Diseases 144
- Epidemiology 217
- Genetics 146
Countries citing papers authored by Daniel Bruno
This map shows the geographic impact of Daniel Bruno'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 Daniel Bruno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Bruno more than expected).
Fields of papers citing papers by Daniel Bruno
This network shows the impact of papers produced by Daniel Bruno. 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 Daniel Bruno. The network helps show where Daniel Bruno may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Bruno, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 188 | |
| 2 | 2011 | 123 | |
| 3 | 2013 | 83 | |
| 4 | 2011 | 61 | |
| 5 | 2012 | 41 | |
| 6 | 2019 | 34 | |
| 7 | 2015 | 27 | |
| 8 | 2013 | 22 | |
| 9 | 2014 | 20 | |
| 10 | 2020 | 19 | |
| 11 | 2017 | 18 | |
| 12 | 2014 | 18 | |
| 13 | 2013 | 17 | |
| 14 | 2019 | 15 | |
| 15 | 2012 | 14 | |
| 16 | 2020 | 13 | |
| 17 | 2020 | 10 | |
| 18 | 2015 | 9 | |
| 19 | 2016 | 8 | |
| 20 | 2024 | 6 |
About Daniel Bruno
Daniel Bruno is a scholar working on Virology, Infectious Diseases, Molecular Biology, Epidemiology and Parasitology, having authored 28 papers that have together received 764 indexed citations. Recurring topics across this work include HIV Research and Treatment (10 papers), Poxvirus research and outbreaks (7 papers), HIV/AIDS Research and Interventions (5 papers), Herpesvirus Infections and Treatments (5 papers), Gut microbiota and health (3 papers), HIV/AIDS drug development and treatment (3 papers), Bacteriophages and microbial interactions (3 papers) and Dermatology and Skin Diseases (2 papers). The work is most often cited by research in Virology (388 citations), Parasitology (88 citations), Infectious Diseases (144 citations), Epidemiology (217 citations) and Genetics (146 citations). Daniel Bruno has collaborated with scholars based in United States, Uganda and South Africa. Frequent co-authors include Craig Martens, Stephen F. Porcella, Bernard Moss, Zhilong Yang, Stacy Ricklefs, Andrew D. Redd, Theodore E. Nash, Rodney D. Adam, Nirmala P. Narla and Matthew M. Hernandez. Their work appears in journals such as Journal of Virology, AIDS, The Journal of Infectious Diseases, Proceedings of the National Academy of Sciences and PLoS ONE.
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.