Diana M. Brainard
- Hepatology top 0.05%
- Hepatitis C virus research 141
- Virology top 0.5%
- HIV Research and Treatment 21
- Epidemiology top 0.2%
- Liver Disease Diagnosis and Treatment 74
- Hepatitis B Virus Studies 70
- Infectious Diseases top 0.5%
- HIV/AIDS drug development and treatment 81
- HIV/AIDS Research and Interventions 14
- Emergency Medicine top 0.5%
-
- Systemic Lupus Erythematosus Research 15
-
- Chronic Lymphocytic Leukemia Research 12
- Co-authors
- John G. McHutchisonEvguenia S. SvarovskaiaRobert H. HylandHadas Dvory‐SobolHongmei MoEdward GaneWilliam T. SymondsEric Lawitz
- Cited by
- HepatologyVirologyEpidemiology
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Diana M. Brainard
183 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Hepatology 5.7k
- Virology 911
- Epidemiology 5.3k
- Infectious Diseases 2.6k
- Emergency Medicine 663
Countries citing papers authored by Diana M. Brainard
This map shows the geographic impact of Diana M. Brainard'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 Diana M. Brainard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diana M. Brainard more than expected).
Fields of papers citing papers by Diana M. Brainard
This network shows the impact of papers produced by Diana M. Brainard. 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 Diana M. Brainard. The network helps show where Diana M. Brainard may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Diana M. Brainard, 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 | Safety and efficacy of remdesivir in a pediatric covid-19 population | 2021 | 3 |
| 2 | 2019 | 11 | |
| 3 | 2019 | 116 | |
| 4 | 2019 | 99 | |
| 5 | 2018 | 2 | |
| 6 | 2018 | 11 | |
| 7 | 2018 | 18 | |
| 8 | 2018 | 11 | |
| 9 | 2017 | 149 | |
| 10 | 2016 | 22 | |
| 11 | 2016 | 163 | |
| 12 | Sofosbuvir With Velpatasvir in Treatment-Naive Noncirrhotic Patients With Genotype 1 to 6 Hepatitis C Virus Infection | 2015 | 4 |
| 13 | 2015 | 28 | |
| 14 | 2015 | 73 | |
| 15 | 2014 | 254 | |
| 16 | 2010 | 44 | |
| 17 | 2010 | 14 | |
| 18 | 2010 | 29 | |
| 19 | Doubling the Dose of Raltegravir (RAL) Does Not Increase Trough Levels in the Presence of Rifampin (RIF) | 2008 | 2 |
| 20 | 2003 | 5 |
About Diana M. Brainard
Diana M. Brainard is a scholar working on Hepatology, Infectious Diseases and Virology, having authored 189 papers that have together received 7.6k indexed citations. Recurring topics across this work include Hepatitis C virus research (141 papers), HIV/AIDS drug development and treatment (81 papers), Liver Disease Diagnosis and Treatment (74 papers), Hepatitis B Virus Studies (70 papers), HIV Research and Treatment (21 papers), Systemic Lupus Erythematosus Research (15 papers), HIV/AIDS Research and Interventions (14 papers) and Chronic Lymphocytic Leukemia Research (12 papers). The work is most often cited by research in Hepatology (5.7k citations), Virology (911 citations) and Epidemiology (5.3k citations). Diana M. Brainard has collaborated with scholars based in United States, Germany and France. Frequent co-authors include John G. McHutchison, Evguenia S. Svarovskaia, Robert H. Hyland, Hadas Dvory‐Sobol, Hongmei Mo, Edward Gane, William T. Symonds, Eric Lawitz, G. Mani Subramanian and Michael D. Miller. Their work appears in journals such as New England Journal of Medicine, The Lancet and JAMA.
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.