Alberto La Rosa
- Emergency Medicine top 0.5%
- Infectious Diseases top 2%
- Virology top 1%
- Epidemiology top 10%
- Surgery
- Co-authors
- Jacqueline NeuhausLewis H. KullerRussell P. TracyMatti RistolaSarah PettMichael G. ShlipakDavid R. JacobsMichael J. Ross
- Topics
- HIV/AIDS Research and Interventions (12 papers)HIV/AIDS drug development and treatment (11 papers)HIV-related health complications and treatments (11 papers)
- Partner nations
- PeruUnited StatesItaly
In The Last Decade
Alberto La Rosa
36 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Emergency Medicine 737
- Infectious Diseases 722
- Virology 513
- Epidemiology 366
- Surgery 109
Countries citing papers authored by Alberto La Rosa
This map shows the geographic impact of Alberto La Rosa'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 Alberto La Rosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto La Rosa more than expected).
Fields of papers citing papers by Alberto La Rosa
This network shows the impact of papers produced by Alberto La Rosa. 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 Alberto La Rosa. The network helps show where Alberto La Rosa may publish in the future.
Co-authorship network of co-authors of Alberto La Rosa
This figure shows the co-authorship network connecting the top 25 collaborators of Alberto La Rosa. A scholar is included among the top collaborators of Alberto La Rosa 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 Alberto La Rosa. Alberto La Rosa 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 | 3 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | 12 | |
| 6 | 10 | |
| 7 | 103 | |
| 8 | 5 | |
| 9 | 13 | |
| 10 | 18 | |
| 11 | 4 | |
| 12 | 16 | |
| 13 | 136 | |
| 14 | Markers of Inflammation, Coagulation, and Renal Function Are Elevated in Adults with HIV Infectionbreakdown → | 660 |
| 15 | 40 | |
| 16 | 9 | |
| 17 | 8 | |
| 18 | ARGO-YBJ Computing Model. Data Analysis and Hardware/Software Architecture of the Processing Farm | 0 |
| 19 | 11 | |
| 20 | Finite State Machine Composition for Embedded Hardware/Software Trade-offs | 0 |
About Alberto La Rosa
Alberto La Rosa is a scholar working on Virology, Hardware and Architecture and Infectious Diseases, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (12 papers), HIV/AIDS drug development and treatment (11 papers) and HIV-related health complications and treatments (11 papers). The work is most often cited by research in Virology (513 citations), Emergency Medicine (737 citations) and Infectious Diseases (722 citations). Alberto La Rosa has collaborated with scholars based in Peru, United States and Italy. Frequent co-authors include Jacqueline Neuhaus, Lewis H. Kuller, Russell P. Tracy, Matti Ristola, Sarah Pett, Michael G. Shlipak, David R. Jacobs, Michael J. Ross, James D. Neaton and Alexandra Calmy. Their work appears in journals such as Nature Communications, PLoS ONE and Clinical Infectious Diseases.
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.