Gerardo Alvarez‐Uria
- Infectious Diseases top 2%
- Epidemiology top 5%
- Applied Microbiology and Biotechnology top 0.5%
- Molecular Medicine top 2%
- Surgery
- Co-authors
- Manoranjan MiddePraveen Kumar NaikRaghavakalyan PakamSumanth GandraRamanan LaxminarayanDirek LimmathurotsakulJyoti JoshiH. Rogier van Doorn
- Topics
- HIV/AIDS Research and Interventions (26 papers)HIV Research and Treatment (15 papers)HIV/AIDS drug development and treatment (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEClinical Microbiology Reviews
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Gerardo Alvarez‐Uria
68 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 120
- Infectious Diseases 705
- Epidemiology 582
- Applied Microbiology and Biotechnology 276
- Molecular Medicine 199
- Surgery 155
Countries citing papers authored by Gerardo Alvarez‐Uria
This map shows the geographic impact of Gerardo Alvarez‐Uria'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 Gerardo Alvarez‐Uria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerardo Alvarez‐Uria more than expected).
Fields of papers citing papers by Gerardo Alvarez‐Uria
This network shows the impact of papers produced by Gerardo Alvarez‐Uria. 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 Gerardo Alvarez‐Uria. The network helps show where Gerardo Alvarez‐Uria may publish in the future.
Co-authorship network of co-authors of Gerardo Alvarez‐Uria
This figure shows the co-authorship network connecting the top 25 collaborators of Gerardo Alvarez‐Uria. A scholar is included among the top collaborators of Gerardo Alvarez‐Uria 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 Gerardo Alvarez‐Uria. Gerardo Alvarez‐Uria is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 2 | |
| 5 | 40 | |
| 6 | 25 | |
| 7 | 95 | |
| 8 | 34 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 23 | |
| 12 | 9 | |
| 13 | 13 | |
| 14 | 13 | |
| 15 | 24 | |
| 16 | 5 | |
| 17 | 12 | |
| 18 | 3 | |
| 19 | 8 | |
| 20 | 6 |
About Gerardo Alvarez‐Uria
Gerardo Alvarez‐Uria is a scholar working on Applied Microbiology and Biotechnology, Virology and Infectious Diseases, having authored 70 papers that have together received 1.4k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (26 papers), HIV Research and Treatment (15 papers) and HIV/AIDS drug development and treatment (12 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (276 citations), Molecular Medicine (199 citations) and Infectious Diseases (705 citations). Gerardo Alvarez‐Uria has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Manoranjan Midde, Praveen Kumar Naik, Raghavakalyan Pakam, Sumanth Gandra, Ramanan Laxminarayan, Direk Limmathurotsakul, Jyoti Joshi, H. Rogier van Doorn, Paul Turner and José Manuel Azcona. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Microbiology Reviews.
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.