Daniel Scott‐Algara
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Immunology top 1%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Immunology 61
- Immune Cell Function and Interaction 50
- T-cell and B-cell Immunology 24
- Immunotherapy and Immune Responses 16
- Reproductive System and Pregnancy 5
- Immune Response and Inflammation 5
- Virology 45
- HIV Research and Treatment 42
- Co-authors
- Françoise Barré‐Sinoussi (21 shared papers)Françoise Vuillier (13 shared papers)Gianfranco Pancino (12 shared papers)Guillaume Dighiero (12 shared papers)Stanislas Pol (5 shared papers)Maryline Bourgine (6 shared papers)Maria A. Ostos (2 shared papers)D. Recalde (2 shared papers)
In The Last Decade
Daniel Scott‐Algara
100 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 104
- Virology 1.1k
- Immunology 1.6k
- Infectious Diseases 564
- Hepatology 227
- Epidemiology 852
Countries citing papers authored by Daniel Scott‐Algara
This map shows the geographic impact of Daniel Scott‐Algara'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 Scott‐Algara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Scott‐Algara more than expected).
Fields of papers citing papers by Daniel Scott‐Algara
This network shows the impact of papers produced by Daniel Scott‐Algara. 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 Scott‐Algara. The network helps show where Daniel Scott‐Algara may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Scott‐Algara, 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 187 | |
| 2 | 2013 | 160 | |
| 3 | 2004 | 154 | |
| 4 | 1992 | 153 | |
| 5 | 2007 | 153 | |
| 6 | 2002 | 144 | |
| 7 | 2007 | 137 | |
| 8 | 2007 | 133 | |
| 9 | 2006 | 91 | |
| 10 | 2004 | 90 | |
| 11 | 2013 | 84 | |
| 12 | 2014 | 81 | |
| 13 | 2011 | 75 | |
| 14 | 1991 | 64 | |
| 15 | 2012 | 52 | |
| 16 | 2011 | 51 | |
| 17 | 2008 | 49 | |
| 18 | 2013 | 48 | |
| 19 | 2002 | 48 | |
| 20 | 1992 | 45 |
About Daniel Scott‐Algara
Daniel Scott‐Algara is a scholar working on Immunology, Virology, Epidemiology, Infectious Diseases and Molecular Biology, having authored 102 papers that have together received 3.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (50 papers), HIV Research and Treatment (42 papers), T-cell and B-cell Immunology (24 papers), Immunotherapy and Immune Responses (16 papers), Cytomegalovirus and herpesvirus research (9 papers), Hepatitis B Virus Studies (5 papers), Reproductive System and Pregnancy (5 papers) and Immune Response and Inflammation (5 papers). The work is most often cited by research in Virology (1.1k citations), Immunology (1.6k citations), Infectious Diseases (564 citations), Hepatology (227 citations) and Epidemiology (852 citations). Daniel Scott‐Algara has collaborated with scholars based in France, Mexico and Vietnam. Frequent co-authors include Françoise Barré‐Sinoussi, Françoise Vuillier, Gianfranco Pancino, Guillaume Dighiero, Stanislas Pol, Maryline Bourgine, Maria A. Ostos, D. Recalde, Mario M. Zakin and Pascale Paul. Their work appears in journals such as Clinical & Experimental Immunology, The Journal of Infectious Diseases, AIDS, Frontiers in Immunology and Retrovirology.
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.