Ali Saı̈b

4.8k citations
63 papers · 3.4k indexed · 1 hit paper · h-index 33

Ali Saı̈b

61 papers receiving 3.3k citations

Hit Papers

TRIM family proteins: retroviral restriction and antivira...6042005202620122019200400600

Peers

Ali Saı̈b
Comparison fields: 5 of 95
  • Virology 1.4k
  • Immunology 1.0k
  • Infectious Diseases 680
  • Agronomy and Crop Science 348
  • Epidemiology 968
Replace Martin Löchelt with:
Martin Löchelt Germany
Brian J. Willett United Kingdom
Hal P. Bogerd United States
D Dina United States
Maxine L. Linial United States
Andrew I. Dayton United States
Andrea Cimarelli France
Sara L. Sawyer United States
Sam J. Wilson United Kingdom
Sundararajan Venkatesan United States
Ali Saı̈b relative to Martin Löchelt Germany Martin Löchelt's profile →
Citations per field
00.5×1.5×2.4×
Martin Löchelt · 1×
Citations per year

Countries citing papers authored by Ali Saı̈b

Since Specialization
Citations

This map shows the geographic impact of Ali Saı̈b'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 Ali Saı̈b with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Saı̈b more than expected).

Fields of papers citing papers by Ali Saı̈b

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali Saı̈b. 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 Ali Saı̈b. The network helps show where Ali Saı̈b may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ali Saı̈b, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ali Saı̈b Line = papers co-authored together Ali Saı̈b links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202119
2 201825
3 20121
4 201121
5 201017
6 200994
7 20081
8 200733
9 200630
10 20061
11 20055
12 2004132
13
Le cytosquelette et les virus, ou comment se déplacer dans une cellule
20021
14
Mécanismes moléculaires de la réplication virale
20001
15 200051
16 199819
17 199730
18 19964
19 199526
20 199516

About Ali Saı̈b

Ali Saı̈b is a scholar working on Virology, Immunology and Infectious Diseases, having authored 63 papers that have together received 3.4k indexed citations. Recurring topics across this work include HIV Research and Treatment (38 papers), Virus-based gene therapy research (16 papers), T-cell and Retrovirus Studies (12 papers), Herpesvirus Infections and Treatments (8 papers), Cytomegalovirus and herpesvirus research (8 papers), Ubiquitin and proteasome pathways (7 papers), HIV/AIDS drug development and treatment (7 papers) and Virology and Viral Diseases (6 papers). The work is most often cited by research in Virology (1.4k citations), Immunology (1.0k citations) and Infectious Diseases (680 citations). Ali Saı̈b has collaborated with scholars based in France, United States and Cameroon. Frequent co-authors include Sébastien Nisole, Jonathan P. Stoye, Hugues de Thé, Olivier Delelis, Alessia Zamborlini, J. Périès, Jacqueline Lehmann‐Che, Antoine Gessain, Joëlle Tobaly-Tapiero and Sara Calattini. Their work appears in journals such as Retrovirology, Journal of Virology, Journal of Biological Chemistry, International Journal of Cancer and 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.

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