Mark S. Sulkowski
Impact in
- Hepatology top 2%
- Hepatitis C virus research
- Liver Disease and Transplantation
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment
- Hepatitis B Virus Studies
Papers in
-
- Hepatitis C virus research 7
-
- Liver Disease Diagnosis and Treatment 5
- Hepatitis B Virus Studies 2
- Co-authors
- Nezam H. Afdhal (6 shared papers)Shruti H. Mehta (2 shared papers)David L. Thomas (2 shared papers)Michael Torbenson (1 shared paper)Lisa B. Mirel (1 shared paper)Richard D. Moore (1 shared paper)Peter Bowers (1 shared paper)Eugene R. Schiff (1 shared paper)
- Journals
- Hepatology (6 papers)Journal of Hepatology (2 papers)Clinical Infectious Diseases (1 paper)Gastroenterology (1 paper)AIDS (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Mark S. Sulkowski
12 papers receiving 413 citations
Peers
Comparison fields: 5 of 40
- Hepatology 383
- Epidemiology 344
- Emergency Medicine 50
- Infectious Diseases 81
- Hematology 32
Countries citing papers authored by Mark S. Sulkowski
This map shows the geographic impact of Mark S. Sulkowski'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 Mark S. Sulkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark S. Sulkowski more than expected).
Fields of papers citing papers by Mark S. Sulkowski
This network shows the impact of papers produced by Mark S. Sulkowski. 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 Mark S. Sulkowski. The network helps show where Mark S. Sulkowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark S. Sulkowski, 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 | 2005 | 130 | |
| 2 | 2004 | 116 | |
| 3 | 2013 | 60 | |
| 4 | 2012 | 52 | |
| 5 | 2012 | 26 | |
| 6 | 2011 | 23 | |
| 7 | 2012 | 12 | |
| 8 | 2025 | 3 | |
| 9 | Il28B C/c Genotype Is Predictive of >= 1 Log10 Iu/ml Reduction in Plasma Hcv Rna After 4 Weeks of Peginterferon (Pegifn) and Ribavirin (Rbv) Therapy: Implications for the Use of the Lead-In Strategy for Direct-Acting Antiviral-Based Treatment Regimens | 2011 | 3 |
| 10 | 2014 | 3 | |
| 11 | 2013 | 2 | |
| 12 | 2003 | 2 | |
| 13 | PREDICTORS OF CONSENT TO PHARMACOGENOMICS TESTING IN THE IDEAL STUDY | 2011 | 0 |
| 14 | 2025 | 0 |
About Mark S. Sulkowski
Mark S. Sulkowski is a scholar working on Hepatology, Epidemiology, Hematology, Immunology and Infectious Diseases, having authored 14 papers that have together received 432 indexed citations. Recurring topics across this work include Hepatitis C virus research (7 papers), Liver Disease Diagnosis and Treatment (5 papers), Blood groups and transfusion (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Hepatitis B Virus Studies (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), HIV/AIDS drug development and treatment (2 papers) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Hepatology (383 citations), Epidemiology (344 citations), Emergency Medicine (50 citations), Infectious Diseases (81 citations) and Hematology (32 citations). Mark S. Sulkowski has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Nezam H. Afdhal, Shruti H. Mehta, David L. Thomas, Michael Torbenson, Lisa B. Mirel, Richard D. Moore, Peter Bowers, Eugene R. Schiff, Betty L. Goon and Zobair M. Younossi. Their work appears in journals such as Hepatology, Journal of Hepatology, Clinical Infectious Diseases, Gastroenterology and AIDS.
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.