Daniel Candotti
Impact in
- Virology top 2%
- HIV Research and Treatment
-
- Blood donation and transfusion practices
Papers in
- Virology 23
- HIV Research and Treatment 23
- Epidemiology 56
- Hepatitis B Virus Studies 52
- Cytomegalovirus and herpesvirus research 4
- Co-authors
- Jean‐Pierre Allain (51 shared papers)Francis Sarkodie (9 shared papers)Syria Laperche (19 shared papers)Jillian Temple (6 shared papers)Armen E. Parsyan (4 shared papers)Shirley Owusu‐Ofori (7 shared papers)Henri Agut (21 shared papers)Kwabena A. Danso (4 shared papers)
- Journals
- Transfusion (15 papers)Journal of Hepatology (9 papers)AIDS (6 papers)Vox Sanguinis (5 papers)Journal of Virology (5 papers)
- Partner nations
- United KingdomFranceGhana
In The Last Decade
Daniel Candotti
106 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 90
- Virology 434
- Management of Technology and Innovation 690
- Epidemiology 2.5k
- Hepatology 370
- Infectious Diseases 555
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 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 258 | |
| 2 | 1991 | 210 | |
| 3 | 2009 | 187 | |
| 4 | 2003 | 153 | |
| 5 | 2004 | 150 | |
| 6 | 2013 | 129 | |
| 7 | 2003 | 127 | |
| 8 | 2018 | 127 | |
| 9 | 2005 | 121 | |
| 10 | 2008 | 115 | |
| 11 | 2008 | 115 | |
| 12 | 2010 | 107 | |
| 13 | 2007 | 105 | |
| 14 | 2001 | 102 | |
| 15 | 2012 | 95 | |
| 16 | 2004 | 91 | |
| 17 | 2001 | 78 | |
| 18 | 2005 | 77 | |
| 19 | 2008 | 75 | |
| 20 | 2009 | 74 |
About Daniel Candotti
Daniel Candotti is a scholar working on Virology, Epidemiology, Management of Technology and Innovation, Hepatology and Infectious Diseases, having authored 109 papers that have together received 4.5k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (52 papers), HIV Research and Treatment (23 papers), Blood donation and transfusion practices (22 papers), Hepatitis C virus research (13 papers), Parvovirus B19 Infection Studies (6 papers), Viral-associated cancers and disorders (5 papers), Cytomegalovirus and herpesvirus research (4 papers) and Blood transfusion and management (3 papers). The work is most often cited by research in Virology (434 citations), Management of Technology and Innovation (690 citations), Epidemiology (2.5k citations), Hepatology (370 citations) and Infectious Diseases (555 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 E. Parsyan, Shirley Owusu‐Ofori, Henri Agut, Kwabena A. Danso, Ohene Opare‐Sem and Snežna Levičnik Stezinar. Their work appears in journals such as Transfusion, Journal of Hepatology, AIDS, Vox Sanguinis and Journal of 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.