Guy De La Rosa
- Hepatology top 0.5%
- Epidemiology top 2%
- Infectious Diseases top 5%
- Rheumatology top 10%
- Virology top 5%
- Co-authors
- Oliver LenzRonald KalmeijerRekha SinhaJane ScottMonika PeetersMaria Beumont‐MauvielSivi Ouwerkerk‐MahadevanIra M. Jacobson
- Topics
- Hepatitis C virus research (19 papers)HIV/AIDS drug development and treatment (13 papers)Liver Disease Diagnosis and Treatment (10 papers)
- Journals
- The LancetGastroenterologyHepatology
- Partner nations
- United StatesBelgiumUnited Kingdom
In The Last Decade
Guy De La Rosa
35 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Hepatology 1.4k
- Epidemiology 1.2k
- Infectious Diseases 513
- Rheumatology 124
- Virology 115
Countries citing papers authored by Guy De La Rosa
This map shows the geographic impact of Guy De 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 Guy De 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 Guy De La Rosa more than expected).
Fields of papers citing papers by Guy De La Rosa
This network shows the impact of papers produced by Guy De 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 Guy De La Rosa. The network helps show where Guy De La Rosa may publish in the future.
Co-authorship network of co-authors of Guy De La Rosa
This figure shows the co-authorship network connecting the top 25 collaborators of Guy De La Rosa. A scholar is included among the top collaborators of Guy De 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 Guy De La Rosa. Guy De 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 | 3 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 3 | |
| 7 | Simeprevir plus sofosbuvir (12 and 8 weeks) in hepatitis C virus genotype 1-infected patients without cirrhosis: OPTIMIST-1, a phase 3, randomized study | 5 |
| 8 | 13 | |
| 9 | 142 | |
| 10 | 50 | |
| 11 | Simeprevir with pegylated interferon alfa 2a plus ribavirin in treatment-naive patients with chronic hepatitis C virus genotype 1 infection (QUEST-1): a phase 3, randomised, double-blind, placebo-controlled trialbreakdown → | 333 |
| 12 | 278 | |
| 13 | 45 | |
| 14 | 187 | |
| 15 | 72 | |
| 16 | 11 | |
| 17 | 11 | |
| 18 | 6 | |
| 19 | 1 | |
| 20 | 4 |
About Guy De La Rosa
Guy De La Rosa is a scholar working on Hepatology, Virology and Toxicology, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hepatitis C virus research (19 papers), HIV/AIDS drug development and treatment (13 papers) and Liver Disease Diagnosis and Treatment (10 papers). The work is most often cited by research in Hepatology (1.4k citations), Epidemiology (1.2k citations) and Infectious Diseases (513 citations). Guy De La Rosa has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Oliver Lenz, Ronald Kalmeijer, Rekha Sinha, Jane Scott, Monika Peeters, Maria Beumont‐Mauviel, Sivi Ouwerkerk‐Mahadevan, Ira M. Jacobson, Eric Lawitz and Bart Fevery. Their work appears in journals such as The Lancet, Gastroenterology and Hepatology.
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.