Dena M. Carbonari
- Hepatology top 5%
- Hepatitis C virus research 14
- Liver Disease and Transplantation 6
- Pharmacology top 5%
- Drug-Induced Hepatotoxicity and Protection 7
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment 13
- Hepatitis B Virus Studies 7
- Chronic Disease Management Strategies 2
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- Diabetes Treatment and Management 4
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- HIV-related health complications and treatments 3
- Co-authors
- Vincent Lo ReJason RoyK. Rajender ReddyJay R. KostmanBrian L. StromKevin HaynesKimberly A. FordeDouglas A. Corley
- Cited by
- HepatologyPharmacologyEpidemiology
- Journals
- Gastroenterology (1 paper)JNCI Journal of the National Cancer Institute (1 paper)The American Journal of Medicine (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Dena M. Carbonari
25 papers receiving 544 citations
Peers
Comparison fields: 5 of 81
- Hepatology 262
- Pharmacology 151
- Epidemiology 281
- Transplantation 18
- Infectious Diseases 94
Countries citing papers authored by Dena M. Carbonari
This map shows the geographic impact of Dena M. Carbonari'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 Dena M. Carbonari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dena M. Carbonari more than expected).
Fields of papers citing papers by Dena M. Carbonari
This network shows the impact of papers produced by Dena M. Carbonari. 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 Dena M. Carbonari. The network helps show where Dena M. Carbonari may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dena M. Carbonari, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 5 | |
| 6 | 2021 | 18 | |
| 7 | 2021 | 8 | |
| 8 | 2019 | 4 | |
| 9 | 2019 | 17 | |
| 10 | 2019 | 4 | |
| 11 | 2016 | 95 | |
| 12 | 2016 | 4 | |
| 13 | 2015 | 60 | |
| 14 | 2015 | 46 | |
| 15 | 2015 | 85 | |
| 16 | 2015 | 7 | |
| 17 | 2015 | 14 | |
| 18 | 2014 | 25 | |
| 19 | 2014 | 17 | |
| 20 | 2011 | 19 |
About Dena M. Carbonari
Dena M. Carbonari is a scholar working on Hepatology, Pharmacology and Toxicology, having authored 28 papers that have together received 548 indexed citations. Recurring topics across this work include Hepatitis C virus research (14 papers), Liver Disease Diagnosis and Treatment (13 papers), Drug-Induced Hepatotoxicity and Protection (7 papers), Hepatitis B Virus Studies (7 papers), Liver Disease and Transplantation (6 papers), Diabetes Treatment and Management (4 papers), HIV-related health complications and treatments (3 papers) and Chronic Disease Management Strategies (2 papers). The work is most often cited by research in Hepatology (262 citations), Pharmacology (151 citations) and Epidemiology (281 citations). Dena M. Carbonari has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Vincent Lo Re, Jason Roy, K. Rajender Reddy, Jay R. Kostman, Brian L. Strom, Kevin Haynes, Kimberly A. Forde, Douglas A. Corley, Jennifer L. Schneider and Amy R. Marks. Their work appears in journals such as Gastroenterology, JNCI Journal of the National Cancer Institute and The American Journal of Medicine.
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.