Catherine Riou

4.1k total citations
56 papers, 1.5k citations indexed

About

Catherine Riou is a scholar working on Infectious Diseases, Immunology and Virology. According to data from OpenAlex, Catherine Riou has authored 56 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Infectious Diseases, 28 papers in Immunology and 22 papers in Virology. Recurrent topics in Catherine Riou's work include HIV Research and Treatment (22 papers), Tuberculosis Research and Epidemiology (18 papers) and Immune Cell Function and Interaction (18 papers). Catherine Riou is often cited by papers focused on HIV Research and Treatment (22 papers), Tuberculosis Research and Epidemiology (18 papers) and Immune Cell Function and Interaction (18 papers). Catherine Riou collaborates with scholars based in South Africa, United States and United Kingdom. Catherine Riou's co-authors include Robert J. Wilkinson, Wendy A. Burgers, René Goliath, Elsa Du Bruyn, Rafick‐Pierre Sékaly, Bader Yassine‐Diab, Clive M. Gray, Katalin A. Wilkinson, Elias K. Haddad and Salim S. Abdool Karim and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and The Journal of Experimental Medicine.

In The Last Decade

Catherine Riou

53 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Catherine Riou South Africa 23 751 742 487 455 330 56 1.5k
Jean Marie Arduino United States 18 614 0.8× 270 0.4× 490 1.0× 433 1.0× 523 1.6× 37 1.8k
Gilad Doitsh United States 13 455 0.6× 1.2k 1.6× 616 1.3× 1.0k 2.2× 972 2.9× 15 2.4k
T Izumi Japan 26 530 0.7× 481 0.6× 415 0.9× 840 1.8× 480 1.5× 86 1.8k
Federico Martini Italy 25 296 0.4× 1.1k 1.4× 334 0.7× 368 0.8× 155 0.5× 68 1.6k
Emmanouil Papasavvas United States 22 528 0.7× 870 1.2× 318 0.7× 987 2.2× 190 0.6× 46 1.7k
M. Shirin Sabbaghian United States 11 537 0.7× 1.4k 1.8× 356 0.7× 1.5k 3.2× 223 0.7× 15 2.0k
Arumugam Balamurugan United States 20 442 0.6× 592 0.8× 261 0.5× 319 0.7× 224 0.7× 32 1.4k
Kristin Gebhard United States 9 667 0.9× 590 0.8× 270 0.6× 1.2k 2.6× 346 1.0× 11 1.7k
Barbara Maschera United Kingdom 15 562 0.7× 606 0.8× 205 0.4× 525 1.2× 492 1.5× 20 1.7k
Barbara Varano Italy 20 192 0.3× 894 1.2× 255 0.5× 416 0.9× 291 0.9× 40 1.4k

Countries citing papers authored by Catherine Riou

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Riou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine Riou

This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Riou. A scholar is included among the top collaborators of Catherine Riou 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 Catherine Riou. Catherine Riou 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.
Baguma, Richard, Amkele Ngomti, Mathilda Mennen, et al.. (2024). Post-pandemic memory T cell response to SARS-CoV-2 is durable, broadly targeted, and cross-reactive to the hypermutated BA.2.86 variant. Cell Host & Microbe. 32(2). 162–169.e3. 29 indexed citations
2.
Burgers, Wendy A., et al.. (2023). The immune response to SARS-CoV-2 in people with HIV. Cellular and Molecular Immunology. 21(2). 184–196. 21 indexed citations
3.
Mutavhatsindi, Hygon, Elsa Du Bruyn, Patrick Howlett, et al.. (2023). Blood and Site of Disease Inflammatory Profiles Differ in Patients With Pericardial Tuberculosis and Human Immunodeficiency Virus Type 1. Open Forum Infectious Diseases. 10(3). ofad128–ofad128. 1 indexed citations
4.
Wilkinson, Robert J., et al.. (2022). Characterization of Mycobacterium tuberculosis –Specific Th22 Cells and the Effect of Tuberculosis Disease and HIV Coinfection. The Journal of Immunology. 209(3). 446–455. 5 indexed citations
5.
Mutavhatsindi, Hygon & Catherine Riou. (2022). Protocol to quantify and phenotype SARS-CoV-2-specific T cell response using a rapid flow-cytometry-based whole blood assay. STAR Protocols. 3(4). 101771–101771. 1 indexed citations
6.
Keeton, Roanne, Marius B. Tincho, Akiko Suzuki, et al.. (2022). Impact of SARS-CoV-2 exposure history on the T cell and IgG response. Cell Reports Medicine. 4(1). 100898–100898. 25 indexed citations
7.
Riou, Catherine, Sarah Joseph, Nancie M. Archin, et al.. (2021). Immunological Correlates of the HIV-1 Replication-Competent Reservoir Size. Clinical Infectious Diseases. 73(8). 1528–1531. 8 indexed citations
8.
Bruyn, Elsa Du, Kiyoshi F. Fukutani, Neesha Rockwood, et al.. (2021). Inflammatory profile of patients with tuberculosis with or without HIV-1 co-infection: a prospective cohort study and immunological network analysis. The Lancet Microbe. 2(8). e375–e385. 13 indexed citations
9.
Lowe, David M., Catherine Riou, Thomas J. Scriba, et al.. (2018). The effect of antiretroviral treatment on selected genes in whole blood from HIV-infected adults sensitised by Mycobacterium tuberculosis. PLoS ONE. 13(12). e0209516–e0209516. 2 indexed citations
10.
Riou, Catherine, Andreia Soares, Björn Corleis, et al.. (2016). HIV Skews the Lineage-Defining Transcriptional Profile of Mycobacterium tuberculosis–Specific CD4+ T Cells. The Journal of Immunology. 196(7). 3006–3018. 17 indexed citations
11.
Soares, Andreia, Nigel Garrett, Natasha Samsunder, et al.. (2016). Effect of Antiretroviral Therapy on the Memory and Activation Profiles of B Cells in HIV-Infected African Women. The Journal of Immunology. 198(3). 1220–1228. 16 indexed citations
12.
Wilkinson, Katalin A., Tolu Oni, Hannah P. Gideon, et al.. (2016). Activation Profile of Mycobacterium tuberculosis –Specific CD4+ T Cells Reflects Disease Activity Irrespective of HIV Status. American Journal of Respiratory and Critical Care Medicine. 193(11). 1307–1310. 39 indexed citations
13.
14.
Riou, Catherine, Clive M. Gray, Lynsey Stewart‐Isherwood, et al.. (2014). A Subset of Circulating Blood Mycobacteria-Specific CD4 T Cells Can Predict the Time to Mycobacterium tuberculosis Sputum Culture Conversion. PLoS ONE. 9(7). e102178–e102178. 22 indexed citations
15.
Maenetje, Pholo, Catherine Riou, Joseph P. Casazza, et al.. (2010). A Steady State of CD4+ T Cell Memory Maturation and Activation Is Established during Primary Subtype C HIV-1 Infection. The Journal of Immunology. 184(9). 4926–4935. 19 indexed citations
16.
Burgers, Wendy A., Catherine Riou, Mandla Mlotshwa, et al.. (2009). Association of HIV-Specific and Total CD8+ T Memory Phenotypes in Subtype C HIV-1 Infection with Viral Set Point. The Journal of Immunology. 182(8). 4751–4761. 69 indexed citations
17.
Grevenynghe, Julien van, Francesco A. Procopio, Zhong He, et al.. (2008). Transcription factor FOXO3a controls the persistence of memory CD4+ T cells during HIV infection. Nature Medicine. 14(3). 266–274. 123 indexed citations
18.
Riou, Catherine, Bader Yassine‐Diab, Julien van Grevenynghe, et al.. (2006). Convergence of TCR and cytokine signaling leads to FOXO3a phosphorylation and drives the survival of CD4+ central memory T cells. The Journal of Experimental Medicine. 204(1). 79–91. 179 indexed citations
19.
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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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