Clifford A. Brass
- Hepatology top 0.05%
- Epidemiology top 0.2%
- Infectious Diseases top 1%
- Rheumatology top 1%
- Molecular Biology
- Co-authors
- Janice K. AlbrechtBruce R. BaconNavdeep BoparaiFred PoordadMark SulkowskiZachary GoodmanIra M. JacobsonJonathan McCone
- Topics
- Hepatitis C virus research (72 papers)Liver Disease Diagnosis and Treatment (44 papers)Hepatitis B Virus Studies (31 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Clifford A. Brass
113 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Hepatology 7.0k
- Epidemiology 6.1k
- Infectious Diseases 1.3k
- Rheumatology 670
- Molecular Biology 550
Countries citing papers authored by Clifford A. Brass
This map shows the geographic impact of Clifford A. Brass'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 Clifford A. Brass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clifford A. Brass more than expected).
Fields of papers citing papers by Clifford A. Brass
This network shows the impact of papers produced by Clifford A. Brass. 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 Clifford A. Brass. The network helps show where Clifford A. Brass may publish in the future.
Co-authorship network of co-authors of Clifford A. Brass
This figure shows the co-authorship network connecting the top 25 collaborators of Clifford A. Brass. A scholar is included among the top collaborators of Clifford A. Brass 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 Clifford A. Brass. Clifford A. Brass 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 | 17 | |
| 3 | 54 | |
| 4 | 2 | |
| 5 | 40 | |
| 6 | 150 | |
| 7 | 6 | |
| 8 | 49 | |
| 9 | 30 | |
| 10 | 9 | |
| 11 | PREDICTORS OF CONSENT TO PHARMACOGENOMICS TESTING IN THE IDEAL STUDY | 0 |
| 12 | PREDICTING PEGINTERFERON-alpha AND RIBAVIRIN TREATMENT RESPONSE IN GENOTYPE 1 HCV PATIENTS - SIMPLE NOMOGRAMS TO SUPPORT CLINICIANS | 1 |
| 13 | Boceprevir for Previously Treated Chronic HCV Genotype 1 Infectionbreakdown → | 1229 |
| 14 | 69 | |
| 15 | 36 | |
| 16 | 3 | |
| 17 | 55 | |
| 18 | Efficacy of 6 months treatment with PEG-interferon alpha-2b plus ribavirin (P/R) in patients infected with hepatitis C with genotype 1 of low viral load (G1LVL) | 5 |
| 19 | 27 | |
| 20 | Increased oxyradical production during reoxygenation of perfused rat liver. Signal versus injury. | 23 |
About Clifford A. Brass
Clifford A. Brass is a scholar working on Hepatology, Epidemiology and Genetics, having authored 115 papers that have together received 7.8k indexed citations. Recurring topics across this work include Hepatitis C virus research (72 papers), Liver Disease Diagnosis and Treatment (44 papers) and Hepatitis B Virus Studies (31 papers). The work is most often cited by research in Hepatology (7.0k citations), Epidemiology (6.1k citations) and Infectious Diseases (1.3k citations). Clifford A. Brass has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Janice K. Albrecht, Bruce R. Bacon, Navdeep Boparai, Fred Poordad, Mark Sulkowski, Zachary Goodman, Ira M. Jacobson, Jonathan McCone, Eric Lawitz and Vilma Sniukiene. 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.