Mark Danta
- Hepatology top 0.5%
- Epidemiology top 2%
- Infectious Diseases top 5%
- Molecular Biology
- Rheumatology top 10%
- Co-authors
- Gail MatthewsGeoffrey DusheikoGregory J. DoreBehzad HajarizadehJanaki AminMatthew LawMaria PrinsSanjay Bhagani
- Topics
- Hepatitis C virus research (31 papers)Liver Disease Diagnosis and Treatment (25 papers)Hepatitis B Virus Studies (14 papers)
- Journals
- The LancetSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Mark Danta
63 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Hepatology 1.3k
- Epidemiology 1.2k
- Infectious Diseases 460
- Molecular Biology 125
- Rheumatology 106
Countries citing papers authored by Mark Danta
This map shows the geographic impact of Mark Danta'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 Danta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Danta more than expected).
Fields of papers citing papers by Mark Danta
This network shows the impact of papers produced by Mark Danta. 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 Danta. The network helps show where Mark Danta may publish in the future.
Co-authorship network of co-authors of Mark Danta
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Danta. A scholar is included among the top collaborators of Mark Danta 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 Mark Danta. Mark Danta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 12 | |
| 8 | 9 | |
| 9 | 17 | |
| 10 | Improved survival following Hepatitis C-related hepatocellular carcinoma diagnosis in the direct-acting antiviral therapy era in New South Wales, Australia | 1 |
| 11 | 9 | |
| 12 | 17 | |
| 13 | 26 | |
| 14 | 82 | |
| 15 | 26 | |
| 16 | Evidence of international transmission of HCV in pan-European study of HIV-positive men who have sex with men (MSM) | 1 |
| 17 | Use of pegylated interferon-alpha (peg-IFN) with or without ribavirin in the treatment of acute HCV in HIV-positive individuals. | 3 |
| 18 | Evidence for sexual transmission of HCV in recent epidemic in HIV-infected men in Southeast England. | 2 |
| 19 | 12 | |
| 20 | 18 |
About Mark Danta
Mark Danta is a scholar working on Hepatology, Epidemiology and Virology, having authored 66 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hepatitis C virus research (31 papers), Liver Disease Diagnosis and Treatment (25 papers) and Hepatitis B Virus Studies (14 papers). The work is most often cited by research in Hepatology (1.3k citations), Epidemiology (1.2k citations) and Infectious Diseases (460 citations). Mark Danta has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Gail Matthews, Geoffrey Dusheiko, Gregory J. Dore, Behzad Hajarizadeh, Janaki Amin, Matthew Law, Maria Prins, Sanjay Bhagani, Jason Grebely and Reem Waziry. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.
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.