Elisabeth Dam

842 total citations
14 papers, 695 citations indexed

About

Elisabeth Dam is a scholar working on Virology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Elisabeth Dam has authored 14 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Virology, 10 papers in Infectious Diseases and 5 papers in Molecular Biology. Recurrent topics in Elisabeth Dam's work include HIV Research and Treatment (12 papers), HIV/AIDS drug development and treatment (10 papers) and HIV/AIDS Research and Interventions (5 papers). Elisabeth Dam is often cited by papers focused on HIV Research and Treatment (12 papers), HIV/AIDS drug development and treatment (10 papers) and HIV/AIDS Research and Interventions (5 papers). Elisabeth Dam collaborates with scholars based in France, Denmark and Germany. Elisabeth Dam's co-authors include François Clavel, Ara G. Hovanessian, Robert Weil, Marion Bonnet, Éliane Meurs, Romina Quercia, Allan J. Hance, Fabrizio Mammano, Virginie Trouplin and Danielle Perez-Bercoff and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Journal of Virology.

In The Last Decade

Elisabeth Dam

14 papers receiving 677 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elisabeth Dam France 10 374 364 281 118 81 14 695
Mariana Santa‐Marta Portugal 9 407 1.1× 237 0.7× 257 0.9× 189 1.6× 158 2.0× 12 615
Junpeng Yan United States 12 375 1.0× 153 0.4× 378 1.3× 233 2.0× 194 2.4× 15 732
Cassie Liu United States 8 397 1.1× 196 0.5× 195 0.7× 343 2.9× 108 1.3× 13 683
Courtney Prochnow United States 8 371 1.0× 188 0.5× 370 1.3× 180 1.5× 196 2.4× 9 660
Matthieu Bertrand France 5 469 1.3× 195 0.5× 265 0.9× 372 3.2× 224 2.8× 6 762
M Matsuda Japan 11 322 0.9× 206 0.6× 270 1.0× 182 1.5× 105 1.3× 28 657
Zilin Nie United States 13 432 1.2× 250 0.7× 288 1.0× 267 2.3× 114 1.4× 17 758
Gunilla B. Karlsson United States 13 577 1.5× 289 0.8× 140 0.5× 439 3.7× 141 1.7× 14 779
Patricia Benz United States 9 299 0.8× 114 0.3× 161 0.6× 292 2.5× 95 1.2× 19 561
Laura Bolling United States 7 204 0.5× 197 0.5× 211 0.8× 83 0.7× 55 0.7× 7 646

Countries citing papers authored by Elisabeth Dam

Since Specialization
Citations

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

Fields of papers citing papers by Elisabeth Dam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabeth Dam

This figure shows the co-authorship network connecting the top 25 collaborators of Elisabeth Dam. A scholar is included among the top collaborators of Elisabeth Dam 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 Elisabeth Dam. Elisabeth Dam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Spanggaard, Iben, Marko Snoj, Andréa Cavalcanti, et al.. (2013). Gene Electrotransfer of Plasmid Antiangiogenic Metargidin Peptide (AMEP) in Disseminated Melanoma: Safety and Efficacy Results of a Phase I First-in-Man Study. PubMed. 24(3). 99–107. 53 indexed citations
2.
Dam, Elisabeth, Romina Quercia, Bärbel Glass, et al.. (2009). Gag Mutations Strongly Contribute to HIV-1 Resistance to Protease Inhibitors in Highly Drug-Experienced Patients besides Compensating for Fitness Loss. PLoS Pathogens. 5(3). e1000345–e1000345. 112 indexed citations
3.
Matsuoka, Saori, Elisabeth Dam, Denise Lecossier, François Clavel, & Allan J. Hance. (2009). Modulation of HIV-1 infectivity and cyclophilin A-dependence by Gag sequence and target cell type. Retrovirology. 6(1). 21–21. 27 indexed citations
4.
Quercia, Romina, Elisabeth Dam, Danielle Perez-Bercoff, & François Clavel. (2009). Selective-Advantage Profile of Human Immunodeficiency Virus Type 1 Integrase Mutants Explains In Vivo Evolution of Raltegravir Resistance Genotypes. Journal of Virology. 83(19). 10245–10249. 49 indexed citations
5.
Barrail‐Tran, Aurélie, Laurence Morand‐Joubert, G Raguin, et al.. (2008). Predictive Values of the Human Immunodeficiency Virus Phenotype and Genotype and of Amprenavir and Lopinavir Inhibitory Quotients in Heavily Pretreated Patients on a Ritonavir-Boosted Dual-Protease-Inhibitor Regimen. Antimicrobial Agents and Chemotherapy. 52(5). 1642–1646. 8 indexed citations
6.
Dam, Elisabeth, et al.. (2007). Long-Term Foscarnet Therapy Remodels Thymidine Analogue Mutations and Alters Resistance to Zidovudine and Lamivudine in HIV-1. Antiviral Therapy. 12(3). 335–344. 9 indexed citations
7.
Dam, Elisabeth, Sophie Lebel‐Binay, Laurent Essioux, et al.. (2007). Synergistic Inhibition of Protease-Inhibitor-Resistant HIV type 1 by Saquinavir in Combination with Atazanavir or Lopinavir. Antiviral Therapy. 12(3). 371–380. 9 indexed citations
8.
Morand‐Joubert, Laurence, Charlotte Charpentier, Geneviève Chêne, et al.. (2006). Low Genetic Barrier to Large Increases in HIV-1 Cross-Resistance to Protease Inhibitors during Salvage Therapy. Antiviral Therapy. 11(2). 143–154. 16 indexed citations
9.
Amiel, Corinne, Nathalie Désiré, Véronique Schneider, et al.. (2005). A new insertion in the HIV-1 reverse transcriptase gene inducing major resistance to non-nucleoside reverse transcriptase inhibitors. AIDS. 19(16). 1922–1924. 1 indexed citations
10.
Bouchonnet, Francine, Elisabeth Dam, Fabrizio Mammano, et al.. (2004). Quantification of the Effects on Viral DNA Synthesis of Reverse Transcriptase Mutations Conferring Human Immunodeficiency Virus Type 1 Resistance to Nucleoside Analogues. Journal of Virology. 79(2). 812–822. 13 indexed citations
11.
Labrosse, Béatrice, Jean‐Louis Labernardière, Elisabeth Dam, et al.. (2002). Baseline Susceptibility of Primary Human Immunodeficiency Virus Type 1 to Entry Inhibitors. Journal of Virology. 77(2). 1610–1613. 83 indexed citations
12.
Masquelier, Bernard, Esther Race, Catherine Tamalet, et al.. (2001). Genotypic and Phenotypic Resistance Patterns of Human Immunodeficiency Virus Type 1 Variants with Insertions or Deletions in the Reverse Transcriptase (RT): Multicenter Study of Patients Treated with RT Inhibitors. Antimicrobial Agents and Chemotherapy. 45(6). 1836–1842. 57 indexed citations
13.
Bonnet, Marion, Robert Weil, Elisabeth Dam, Ara G. Hovanessian, & Éliane Meurs. (2000). PKR Stimulates NF-κB Irrespective of Its Kinase Function by Interacting with the IκB Kinase Complex. Molecular and Cellular Biology. 20(13). 4532–4542. 190 indexed citations
14.
Callebaut, Christian, Julià Blanco, Nadia Benkirane, et al.. (1998). Identification of V3 Loop-binding Proteins as Potential Receptors Implicated in the Binding of HIV Particles to CD4+Cells. Journal of Biological Chemistry. 273(34). 21988–21997. 68 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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