Daniel Candotti
Impact in
- Hepatology top 0.2%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Virology top 1%
- HIV Research and Treatment
Papers in
- Epidemiology 72
- Hepatitis B Virus Studies 62
- Liver Disease Diagnosis and Treatment 28
- Hepatology 60
- Hepatitis C virus research 59
- Co-authors
- Jean‐Pierre Allain (49 shared papers)Francis Sarkodie (7 shared papers)Syria Laperche (16 shared papers)Jillian Temple (6 shared papers)Armen Parsyan (4 shared papers)Henri Agut (17 shared papers)Shirley Owusu‐Ofori (6 shared papers)Kwabena A. Danso (4 shared papers)
- Journals
- Transfusion (11 papers)Journal of Hepatology (8 papers)AIDS (6 papers)Journal of Medical Virology (6 papers)Journal of General Virology (5 papers)
- Partner nations
- United KingdomFranceGhana
In The Last Decade
Daniel Candotti
97 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 90
- Hepatology 2.4k
- Virology 554
- Epidemiology 2.9k
- Management of Technology and Innovation 410
- Infectious Diseases 1.0k
Countries citing papers authored by Daniel Candotti
This map shows the geographic impact of Daniel Candotti'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 Daniel Candotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Candotti more than expected).
Fields of papers citing papers by Daniel Candotti
This network shows the impact of papers produced by Daniel Candotti. 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 Daniel Candotti. The network helps show where Daniel Candotti may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Candotti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 236 | |
| 2 | 1991 | 196 | |
| 3 | 2009 | 170 | |
| 4 | 2003 | 146 | |
| 5 | 2004 | 137 | |
| 6 | 2003 | 120 | |
| 7 | 2013 | 118 | |
| 8 | 2008 | 112 | |
| 9 | 2008 | 111 | |
| 10 | 2018 | 107 | |
| 11 | 2005 | 105 | |
| 12 | 2001 | 99 | |
| 13 | 2007 | 98 | |
| 14 | 2010 | 97 | |
| 15 | 2004 | 88 | |
| 16 | 2012 | 86 | |
| 17 | 2008 | 73 | |
| 18 | 2001 | 71 | |
| 19 | 2009 | 70 | |
| 20 | 2007 | 67 |
About Daniel Candotti
Daniel Candotti is a scholar working on Epidemiology, Hepatology, Infectious Diseases, Virology and Management of Technology and Innovation, having authored 98 papers that have together received 4.0k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (62 papers), Hepatitis C virus research (59 papers), Liver Disease Diagnosis and Treatment (28 papers), HIV Research and Treatment (21 papers), HIV/AIDS drug development and treatment (14 papers), Parvovirus B19 Infection Studies (10 papers), Blood donation and transfusion practices (10 papers) and HIV/AIDS Research and Interventions (8 papers). The work is most often cited by research in Hepatology (2.4k citations), Virology (554 citations), Epidemiology (2.9k citations), Management of Technology and Innovation (410 citations) and Infectious Diseases (1.0k citations). Daniel Candotti has collaborated with scholars based in United Kingdom, France and Ghana. Frequent co-authors include Jean‐Pierre Allain, Francis Sarkodie, Syria Laperche, Jillian Temple, Armen Parsyan, Henri Agut, Shirley Owusu‐Ofori, Kwabena A. Danso, Ohene Opare‐Sem and Chengyao Li. Their work appears in journals such as Transfusion, Journal of Hepatology, AIDS, Journal of Medical Virology and Journal of General Virology.
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.