Fadila Bouamr

2.2k total citations · 1 hit paper
38 papers, 1.8k citations indexed

About

Fadila Bouamr is a scholar working on Virology, Immunology and Molecular Biology. According to data from OpenAlex, Fadila Bouamr has authored 38 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Virology, 17 papers in Immunology and 13 papers in Molecular Biology. Recurrent topics in Fadila Bouamr's work include HIV Research and Treatment (25 papers), Animal Disease Management and Epidemiology (9 papers) and Vector-Borne Animal Diseases (9 papers). Fadila Bouamr is often cited by papers focused on HIV Research and Treatment (25 papers), Animal Disease Management and Epidemiology (9 papers) and Vector-Borne Animal Diseases (9 papers). Fadila Bouamr collaborates with scholars based in United States, France and Italy. Fadila Bouamr's co-authors include Jonathan Leis, Alexandra Kikonyogo, Carol A. Carter, Lynn VerPlank, Tracy J. LaGrassa, Paola Sette, Kunio Nagashima, Vincent Dussupt, Carol Carter and Joshua A. Jadwin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Molecular Biology.

In The Last Decade

Fadila Bouamr

38 papers receiving 1.8k citations

Hit Papers

Tsg101, a homologue of ub... 2001 2026 2009 2017 2001 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fadila Bouamr United States 23 947 786 507 470 461 38 1.8k
Clarisse Berlioz‐Torrent France 25 1.3k 1.4× 963 1.2× 677 1.3× 345 0.7× 657 1.4× 45 2.3k
Bettina Strack United States 16 1.3k 1.3× 1.0k 1.3× 670 1.3× 396 0.8× 535 1.2× 16 2.3k
Sherimay D. Ablan United States 27 1.7k 1.8× 964 1.2× 863 1.7× 212 0.5× 557 1.2× 44 2.4k
Lori V. Coren United States 23 1.5k 1.6× 991 1.3× 786 1.6× 135 0.3× 591 1.3× 32 2.2k
Alessia Zamborlini France 20 409 0.4× 806 1.0× 477 0.9× 331 0.7× 389 0.8× 30 1.7k
Carol A. Carter United States 14 680 0.7× 454 0.6× 339 0.7× 270 0.6× 265 0.6× 30 1.1k
Bridget A. Puffer United States 23 954 1.0× 511 0.7× 740 1.5× 120 0.3× 544 1.2× 29 2.0k
Ruben M. Markosyan United States 19 797 0.8× 585 0.7× 624 1.2× 110 0.2× 517 1.1× 24 1.7k
Valerie Bosch Germany 20 883 0.9× 611 0.8× 586 1.2× 99 0.2× 416 0.9× 44 1.7k
Matthew W. McNatt United States 9 941 1.0× 374 0.5× 363 0.7× 101 0.2× 514 1.1× 9 1.5k

Countries citing papers authored by Fadila Bouamr

Since Specialization
Citations

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

Fields of papers citing papers by Fadila Bouamr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fadila Bouamr

This figure shows the co-authorship network connecting the top 25 collaborators of Fadila Bouamr. A scholar is included among the top collaborators of Fadila Bouamr based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fadila Bouamr. Fadila Bouamr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Grigg, Michael E., et al.. (2024). TRIM5α: A Protean Architect of Viral Recognition and Innate Immunity. Viruses. 16(7). 997–997. 2 indexed citations
2.
Broeckel, Rebecca M., Friederike Feldmann, Kristin L. McNally, et al.. (2021). A pigtailed macaque model of Kyasanur Forest disease virus and Alkhurma hemorrhagic disease virus pathogenesis. PLoS Pathogens. 17(12). e1009678–e1009678. 10 indexed citations
4.
Vecchio, Claudia Del, Marta Celegato, Giorgio Palù, et al.. (2020). Alix-Mediated Rescue of Feline Immunodeficiency Virus Budding Differs from That Observed with Human Immunodeficiency Virus. Journal of Virology. 94(11). 7 indexed citations
5.
Hirsch, Vanessa M., et al.. (2020). Budding of a Retrovirus: Some Assemblies Required. Viruses. 12(10). 1188–1188. 25 indexed citations
6.
Flower, Thomas G., Yoshinori Takahashi, Arpa Hudait, et al.. (2020). A helical assembly of human ESCRT-I scaffolds reverse-topology membrane scission. Nature Structural & Molecular Biology. 27(6). 570–580. 43 indexed citations
7.
Chiramel, Abhilash I., Nicholas R. Meyerson, Kristin L. McNally, et al.. (2019). TRIM5α Restricts Flavivirus Replication by Targeting the Viral Protease for Proteasomal Degradation. Cell Reports. 27(11). 3269–3283.e6. 54 indexed citations
8.
Sette, Paola, Vincent Dussupt, Kunio Nagashima, et al.. (2016). HIV-1 Nucleocapsid Mimics the Membrane Adaptor Syntenin PDZ to Gain Access to ESCRTs and Promote Virus Budding. Cell Host & Microbe. 19(3). 336–348. 19 indexed citations
9.
Sette, Paola, Kunio Nagashima, Robert C. Piper, & Fadila Bouamr. (2013). Ubiquitin conjugation to Gag is essential for ESCRT-mediated HIV-1 budding. Retrovirology. 10(1). 79–79. 70 indexed citations
10.
Sette, Paola, Ruiling Mu, Vincent Dussupt, et al.. (2011). The Phe105 Loop of Alix Bro1 Domain Plays a Key Role in HIV-1 Release. Structure. 19(10). 1485–1495. 26 indexed citations
11.
Sette, Paola, Joshua A. Jadwin, Vincent Dussupt, Nana F. Bello, & Fadila Bouamr. (2010). The ESCRT-Associated Protein Alix Recruits the Ubiquitin Ligase Nedd4-1 To Facilitate HIV-1 Release through the LYPX n L L Domain Motif. Journal of Virology. 84(16). 8181–8192. 78 indexed citations
12.
Dussupt, Vincent, Georges Abou-Jaoudé, Joshua A. Jadwin, et al.. (2009). The Nucleocapsid Region of HIV-1 Gag Cooperates with the PTAP and LYPXnL Late Domains to Recruit the Cellular Machinery Necessary for Viral Budding. PLoS Pathogens. 5(3). e1000339–e1000339. 120 indexed citations
13.
Bouamr, Fadila, et al.. (2006). The C-Terminal Portion of the Hrs Protein Interacts with Tsg101 and Interferes with Human Immunodeficiency Virus Type 1 Gag Particle Production. Journal of Virology. 81(6). 2909–2922. 29 indexed citations
14.
Medina, Gisselle N., Yongjun Zhang, Yi Tang, et al.. (2005). The Functionally Exchangeable L Domains in RSV and HIV‐1 Gag Direct Particle Release Through Pathways Linked by Tsg101. Traffic. 6(10). 880–894. 43 indexed citations
16.
Bouamr, Fadila, Claudia C. Cornilescu, Stephen P. Goff, Nico Tjandra, & Carol A. Carter. (2004). Structural and Dynamics Studies of the D54A Mutant of Human T Cell Leukemia Virus-1 Capsid Protein. Journal of Biological Chemistry. 280(8). 6792–6801. 12 indexed citations
17.
Cornilescu, Claudia C., Fadila Bouamr, Carol Carter, & Nico Tjandra. (2003). Backbone 15N relaxation analysis of the N‐terminal domain of the HTLV‐I capsid protein and comparison with the capsid protein of HIV‐1. Protein Science. 12(5). 973–981. 7 indexed citations
18.
Rayne, Fabienne, Fadila Bouamr, J. R. Lalanne, & R. Mamoun. (2001). The NH 2 -Terminal Domain of the Human T-Cell Leukemia Virus Type 1 Capsid Protein Is Involved in Particle Formation. Journal of Virology. 75(11). 5277–5287. 23 indexed citations
20.
Mamoun, R., Danielle E. Dye, Nicole Rebeyrotte, et al.. (1997). Mouse Monoclonal Antibodies Directed Against the HTLV-I Protease Recognize Epitopes Internal To the Dimer. Journal of Acquired Immune Deficiency Syndromes & Human Retrovirology. 14(2). 184–188. 4 indexed citations

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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