Victor De Gruttola
- Virology top 0.5%
- HIV Research and Treatment 34
- Sensory Systems top 0.5%
- Hearing, Cochlea, Tinnitus, Genetics 10
- Statistics and Probability top 0.2%
- Advanced Causal Inference Techniques 14
- Statistical Methods and Bayesian Inference 12
- Statistical Methods in Clinical Trials 10
- Statistical Methods and Inference 10
- Infectious Diseases top 1%
- HIV/AIDS Research and Interventions 37
- HIV/AIDS drug development and treatment 19
- Speech and Hearing top 1%
- Co-authors
- Stephen W. LagakosThomas R. FlemingD. Y. LinM. Charles LibermanXin TuPei‐zhe WuJennifer T. O’MalleyLeila M. Barraj
- Partner nations
- United StatesUnited KingdomSouth Africa
In The Last Decade
Victor De Gruttola
94 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 163
- Virology 1.1k
- Sensory Systems 757
- Statistics and Probability 1.0k
- Infectious Diseases 1.4k
- Speech and Hearing 323
Countries citing papers authored by Victor De Gruttola
This map shows the geographic impact of Victor De Gruttola'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 Victor De Gruttola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victor De Gruttola more than expected).
Fields of papers citing papers by Victor De Gruttola
This network shows the impact of papers produced by Victor De Gruttola. 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 Victor De Gruttola. The network helps show where Victor De Gruttola may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Victor De Gruttola, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | 2021 | 2 | |
| 3 | 2020 | 5 | |
| 4 | 2019 | 41 | |
| 5 | 2017 | 31 | |
| 6 | 2017 | 0 | |
| 7 | 2015 | 0 | |
| 8 | 2014 | 7 | |
| 9 | 2012 | 35 | |
| 10 | FLEXIBLE COVARIATE-ADJUSTED EXACT TESTS OF RANDOMIZED TREATMENT EFFECTS WITH APPLICATION TO A TRIAL OF HIV EDUCATION1 | 2012 | 8 |
| 11 | 2011 | 43 | |
| 12 | 2011 | 26 | |
| 13 | 2007 | 0 | |
| 14 | 2006 | 8 | |
| 15 | 2002 | 25 | |
| 16 | 2002 | 12 | |
| 17 | 2000 | 8 | |
| 18 | 1995 | 10 | |
| 19 | 1988 | 149 | |
| 20 | 1987 | 24 |
About Victor De Gruttola
Victor De Gruttola is a scholar working on Virology, Statistics and Probability and Infectious Diseases, having authored 98 papers that have together received 4.2k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (37 papers), HIV Research and Treatment (34 papers), HIV/AIDS drug development and treatment (19 papers), Advanced Causal Inference Techniques (14 papers), Statistical Methods and Bayesian Inference (12 papers), Statistical Methods in Clinical Trials (10 papers), Hearing, Cochlea, Tinnitus, Genetics (10 papers) and Statistical Methods and Inference (10 papers). The work is most often cited by research in Virology (1.1k citations), Sensory Systems (757 citations) and Statistics and Probability (1.0k citations). Victor De Gruttola has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Stephen W. Lagakos, Thomas R. Fleming, D. Y. Lin, M. Charles Liberman, Xin Tu, Pei‐zhe Wu, Jennifer T. O’Malley, Leila M. Barraj, Kara Bennett and Leslie D. Liberman. Their work appears in journals such as Nature, New England Journal of Medicine and The Lancet.
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.