Daniel Scott‐Algara
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Rabies epidemiology and control
- Immunology top 1%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Atherosclerosis and Cardiovascular Diseases
Papers in
- Virology 40
- HIV Research and Treatment 38
- Rabies epidemiology and control 2
- Immunology 32
- Immune Cell Function and Interaction 14
- T-cell and B-cell Immunology 10
- Immunotherapy and Immune Responses 4
- Co-authors
- Françoise Barré‐Sinoussi (23 shared papers)Françoise Vuillier (14 shared papers)Gianfranco Pancino (12 shared papers)Guillaume Dighiero (13 shared papers)Maria A. Ostos (2 shared papers)Delia Recalde (2 shared papers)Mario M. Zakin (2 shared papers)Stanislas Pol (5 shared papers)
In The Last Decade
Daniel Scott‐Algara
105 papers receiving 4.1k citations
Daniel Scott‐Algara's Hit Papers
Peers
Comparison fields: 5 of 90
- Virology 1.1k
- Immunology 901
- Endocrinology 47
- Epidemiology 352
- Infectious Diseases 130
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 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition) Hit paper breakdown → | 2019 | 817 |
| 2 | 2003 | 189 | |
| 3 | 2013 | 166 | |
| 4 | 2004 | 157 | |
| 5 | 2007 | 153 | |
| 6 | 1992 | 148 | |
| 7 | 2002 | 144 | |
| 8 | 2007 | 141 | |
| 9 | 2007 | 134 | |
| 10 | 2004 | 95 | |
| 11 | 2006 | 92 | |
| 12 | 2014 | 89 | |
| 13 | 2013 | 88 | |
| 14 | 2011 | 76 | |
| 15 | 1991 | 64 | |
| 16 | 2011 | 55 | |
| 17 | 2012 | 53 | |
| 18 | 2013 | 52 | |
| 19 | 2008 | 49 | |
| 20 | 2002 | 47 |
About Daniel Scott‐Algara
Daniel Scott‐Algara is a scholar working on Virology, Immunology, Epidemiology, Parasitology and Infectious Diseases, having authored 107 papers that have together received 4.2k indexed citations. Recurring topics across this work include HIV Research and Treatment (38 papers), Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (10 papers), Hepatitis B Virus Studies (4 papers), Cell death mechanisms and regulation (4 papers), Immunotherapy and Immune Responses (4 papers), Rabies epidemiology and control (2 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Virology (1.1k citations), Immunology (901 citations), Endocrinology (47 citations), Epidemiology (352 citations) and Infectious Diseases (130 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, Maria A. Ostos, Delia Recalde, Mario M. Zakin, Stanislas Pol, Hélène Fontaine and Maryline Bourgine. Their work appears in journals such as Clinical & Experimental Immunology, Frontiers in Immunology, AIDS, The Journal of Infectious Diseases 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.