Vanessa Sue Wacleche

1.8k total citations
17 papers, 1.1k citations indexed

About

Vanessa Sue Wacleche is a scholar working on Immunology, Virology and Infectious Diseases. According to data from OpenAlex, Vanessa Sue Wacleche has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 13 papers in Virology and 3 papers in Infectious Diseases. Recurrent topics in Vanessa Sue Wacleche's work include HIV Research and Treatment (13 papers), Immune Cell Function and Interaction (9 papers) and T-cell and B-cell Immunology (8 papers). Vanessa Sue Wacleche is often cited by papers focused on HIV Research and Treatment (13 papers), Immune Cell Function and Interaction (9 papers) and T-cell and B-cell Immunology (8 papers). Vanessa Sue Wacleche collaborates with scholars based in Canada, United States and Armenia. Vanessa Sue Wacleche's co-authors include Petronela Ancuța, Annie Gosselin, Jean‐Pierre Routy, Patricia Monteiro, Nicolas Chomont, Mohamed El‐Far, Mohamed‐Rachid Boulassel, Elias A. Said, Dana Gabuzda and Kuang‐Yu Liu and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Frontiers in Microbiology.

In The Last Decade

Vanessa Sue Wacleche

17 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vanessa Sue Wacleche Canada 14 724 588 233 187 146 17 1.1k
Annie Gosselin Canada 16 750 1.0× 695 1.2× 289 1.2× 201 1.1× 181 1.2× 28 1.2k
Lucy Y. Shin Canada 10 438 0.6× 442 0.8× 171 0.7× 197 1.1× 98 0.7× 11 811
Afam A. Okoye United States 13 517 0.7× 517 0.9× 273 1.2× 274 1.5× 130 0.9× 21 1.0k
Andrea Stacey United Kingdom 11 468 0.6× 590 1.0× 310 1.3× 292 1.6× 117 0.8× 16 1.0k
Feng Yun Yue Canada 22 912 1.3× 407 0.7× 192 0.8× 242 1.3× 196 1.3× 53 1.3k
Enrique Martín‐Gayo Spain 17 759 1.0× 621 1.1× 419 1.8× 175 0.9× 250 1.7× 33 1.4k
Franck P. Dupuy Canada 15 705 1.0× 400 0.7× 217 0.9× 223 1.2× 275 1.9× 34 1.2k
Riddhima Banga Switzerland 11 538 0.7× 660 1.1× 344 1.5× 202 1.1× 101 0.7× 17 960
Sònia Fernández Australia 20 546 0.8× 434 0.7× 187 0.8× 263 1.4× 62 0.4× 45 883
Yoav Peretz Canada 13 687 0.9× 386 0.7× 186 0.8× 230 1.2× 150 1.0× 24 1.0k

Countries citing papers authored by Vanessa Sue Wacleche

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa Sue Wacleche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vanessa Sue Wacleche. 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 Vanessa Sue Wacleche. The network helps show where Vanessa Sue Wacleche may publish in the future.

Co-authorship network of co-authors of Vanessa Sue Wacleche

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

All Works

17 of 17 papers shown
1.
Wacleche, Vanessa Sue, Natalia Fonseca do Rosário, Annie Gosselin, et al.. (2021). RALDH Activity Induced by Bacterial/Fungal Pathogens in CD16+ Monocyte-Derived Dendritic Cells Boosts HIV Infection and Outgrowth in CD4+ T Cells. The Journal of Immunology. 206(11). 2638–2651. 7 indexed citations
2.
Wacleche, Vanessa Sue, Runci Wang, & Deepak A. Rao. (2021). Identification of T Peripheral Helper (Tph) Cells. Methods in molecular biology. 2380. 59–76. 14 indexed citations
3.
Zhang, Yuwei, Delphine Planas, Marta Massanella, et al.. (2020). Improving HIV Outgrowth by Optimizing Cell-Culture Conditions and Supplementing With all-trans Retinoic Acid. Frontiers in Microbiology. 11. 902–902. 14 indexed citations
4.
Wacleche, Vanessa Sue, Cécile Tremblay, Jean‐Pierre Routy, & Petronela Ancuța. (2018). The Biology of Monocytes and Dendritic Cells: Contribution to HIV Pathogenesis. Viruses. 10(2). 65–65. 50 indexed citations
5.
Wacleche, Vanessa Sue, Jean-Philippe Goulet, Dominique Gauchat, et al.. (2018). CD16+ monocytes give rise to CD103+RALDH2+TCF4+ dendritic cells with unique transcriptional and immunological features. Blood Advances. 2(21). 2862–2878. 19 indexed citations
6.
Wacleche, Vanessa Sue, Alan Landay, Jean‐Pierre Routy, & Petronela Ancuța. (2017). The Th17 Lineage: From Barrier Surfaces Homeostasis to Autoimmunity, Cancer, and HIV-1 Pathogenesis. Viruses. 9(10). 303–303. 74 indexed citations
7.
Wacleche, Vanessa Sue, Jean-Philippe Goulet, Annie Gosselin, et al.. (2016). New insights into the heterogeneity of Th17 subsets contributing to HIV-1 persistence during antiretroviral therapy. Retrovirology. 13(1). 59–59. 78 indexed citations
8.
Gosselin, Annie, Tomas Raul Wiche Salinas, Delphine Planas, et al.. (2016). HIV persists in CCR6+CD4+ T cells from colon and blood during antiretroviral therapy. AIDS. 31(1). 35–48. 103 indexed citations
9.
Wacleche, Vanessa Sue, Delphine Planas, Julia Niessl, et al.. (2015). The transcriptional program governed by RORγt favors HIV-1 replication in CCR4 + CCR6 + Th17 cells. Journal of Virus Eradication. 1. 10–10. 1 indexed citations
10.
Zhang, Yuwei, Delphine Planas, Patricia Monteiro, et al.. (2015). Identification of novel HIV-1 dependency factors in primary CCR4+CCR6+Th17 cells via a genome-wide transcriptional approach. Retrovirology. 12(1). 102–102. 48 indexed citations
11.
DaFonseca, Sandrina, Julia Niessl, Vanessa Sue Wacleche, et al.. (2015). Impaired Th17 polarization of phenotypically naive CD4+ T-cells during chronic HIV-1 infection and potential restoration with early ART. Retrovirology. 12(1). 38–38. 30 indexed citations
12.
Ancuța, Petronela, Vanessa Sue Wacleche, Annie Gosselin, et al.. (2015). Long-lived Th17 subsets contribute to HIV-1 persistence under ART. Journal of Virus Eradication. 1. 9–9. 1 indexed citations
13.
14.
Wacleche, Vanessa Sue, Nicolas Chomont, Annie Gosselin, et al.. (2012). The Colocalization Potential of HIV-Specific CD8+ and CD4+ T-Cells is Mediated by Integrin β7 but Not CCR6 and Regulated by Retinoic Acid. PLoS ONE. 7(3). e32964–e32964. 17 indexed citations
15.
Monteiro, Patricia, Annie Gosselin, Vanessa Sue Wacleche, et al.. (2011). Memory CCR6+CD4+ T Cells Are Preferential Targets for Productive HIV Type 1 Infection Regardless of Their Expression of Integrin β7. The Journal of Immunology. 186(8). 4618–4630. 115 indexed citations
16.
Gosselin, Annie, Patricia Monteiro, Nicolas Chomont, et al.. (2009). Peripheral Blood CCR4+CCR6+ and CXCR3+CCR6+ CD4+ T Cells Are Highly Permissive to HIV-1 Infection. The Journal of Immunology. 184(3). 1604–1616. 258 indexed citations
17.
Ancuța, Petronela, Kuang‐Yu Liu, Vikas Misra, et al.. (2009). Transcriptional profiling reveals developmental relationship and distinct biological functions of CD16+ and CD16- monocyte subsets. BMC Genomics. 10(1). 403–403. 210 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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