Renu Dudani

1.4k total citations
37 papers, 1.1k citations indexed

About

Renu Dudani is a scholar working on Immunology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Renu Dudani has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Immunology, 11 papers in Infectious Diseases and 6 papers in Molecular Biology. Recurrent topics in Renu Dudani's work include Immunotherapy and Immune Responses (21 papers), T-cell and B-cell Immunology (12 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). Renu Dudani is often cited by papers focused on Immunotherapy and Immune Responses (21 papers), T-cell and B-cell Immunology (12 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). Renu Dudani collaborates with scholars based in Canada, United States and Germany. Renu Dudani's co-authors include Lakshmi Krishnan, Subash Sad, Henk van Faassen, Scott McComb, Nirmal Robinson, Yvan Chapdelaine, Dean K. Smith, Michael J. McCluskie, Lise Deschatelets and Bassel Akache and has published in prestigious journals such as Nature Immunology, The Journal of Immunology and PLoS ONE.

In The Last Decade

Renu Dudani

36 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
Renu Dudani Canada 18 689 429 242 176 104 37 1.1k
Lauren A. Hirao United States 17 455 0.7× 398 0.9× 195 0.8× 243 1.4× 59 0.6× 26 1.1k
Claire Maudet France 12 476 0.7× 511 1.2× 268 1.1× 251 1.4× 63 0.6× 13 1.2k
Bettina Stolp Germany 15 337 0.5× 483 1.1× 274 1.1× 141 0.8× 53 0.5× 26 1.1k
Adriana Flores‐Langarica United Kingdom 19 550 0.8× 182 0.4× 208 0.9× 87 0.5× 68 0.7× 28 955
Fábio V. Marinho Brazil 18 450 0.7× 270 0.6× 200 0.8× 115 0.7× 39 0.4× 39 871
Drew M. Catron United States 10 689 1.0× 206 0.5× 86 0.4× 105 0.6× 81 0.8× 11 1.0k
Stefan Moese Germany 13 771 1.1× 272 0.6× 152 0.6× 112 0.6× 65 0.6× 15 1.3k
Claire Jones United Kingdom 20 605 0.9× 465 1.1× 334 1.4× 174 1.0× 60 0.6× 36 1.3k
Mathias Schmaler Switzerland 18 657 1.0× 285 0.7× 254 1.0× 121 0.7× 152 1.5× 24 1.0k
Barbara J. Masten United States 11 513 0.7× 221 0.5× 176 0.7× 139 0.8× 97 0.9× 14 924

Countries citing papers authored by Renu Dudani

Since Specialization
Citations

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

Fields of papers citing papers by Renu Dudani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renu Dudani

This figure shows the co-authorship network connecting the top 25 collaborators of Renu Dudani. A scholar is included among the top collaborators of Renu Dudani 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 Renu Dudani. Renu Dudani 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
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Azizi, Hiva, Tyler M. Renner, Renu Dudani, et al.. (2024). Self-amplifying RNAs generated with the modified nucleotides 5-methylcytidine and 5-methyluridine mediate strong expression and immunogenicity in vivo. PubMed. 1(2). ugae004–ugae004. 7 indexed citations
3.
Stuible, Matthew, Bassel Akache, Tyler M. Renner, et al.. (2024). SARS-CoV-2 spike-based virus-like particles incorporate influenza H1/N1 antigens and induce dual immunity in mice. Vaccine. 42(26). 126463–126463. 2 indexed citations
4.
Renner, Tyler M., Bassel Akache, Matthew Stuible, et al.. (2023). Tuning the immune response: sulfated archaeal glycolipid archaeosomes as an effective vaccine adjuvant for induction of humoral and cell-mediated immunity towards the SARS-CoV-2 Omicron variant of concern. Frontiers in Immunology. 14. 1182556–1182556. 6 indexed citations
5.
Akache, Bassel, Andrew J. Read, Renu Dudani, et al.. (2023). Sulfated Lactosyl Archaeol Archaeosome-Adjuvanted Vaccine Formulations Targeting Rabbit Hemorrhagic Disease Virus Are Immunogenic and Efficacious. Vaccines. 11(6). 1043–1043. 5 indexed citations
6.
Hrapovic, Sabahudin, Nasha Nassoury, Nathalie Coulombe, et al.. (2023). Production, purification and immunogenicity of Gag virus-like particles carrying SARS-CoV-2 components. Vaccine. 42(1). 40–52. 9 indexed citations
7.
Akache, Bassel, Tyler M. Renner, Matthew Stuible, et al.. (2022). Immunogenicity of SARS-CoV-2 spike antigens derived from Beta & Delta variants of concern. npj Vaccines. 7(1). 118–118. 15 indexed citations
8.
Akache, Bassel, Tyler M. Renner, Anh Tran, et al.. (2021). Immunogenic and efficacious SARS-CoV-2 vaccine based on resistin-trimerized spike antigen SmT1 and SLA archaeosome adjuvant. Scientific Reports. 11(1). 21849–21849. 27 indexed citations
9.
Jia, Yimei, Bassel Akache, Lise Deschatelets, et al.. (2019). A comparison of the immune responses induced by antigens in three different archaeosome-based vaccine formulations. International Journal of Pharmaceutics. 561. 187–196. 33 indexed citations
10.
Akache, Bassel, Felicity C. Stark, Yimei Jia, et al.. (2018). Sulfated archaeol glycolipids: Comparison with other immunological adjuvants in mice. PLoS ONE. 13(12). e0208067–e0208067. 30 indexed citations
11.
Tzelepis, Fanny, Renu Dudani, Komal Gurnani, et al.. (2012). Modulation of Antigenic Location Converts Chronic into Acute Infection by Forcing CD8+ T Cell Recognition. Cell Reports. 2(6). 1710–1721. 8 indexed citations
12.
Robinson, Nirmal, et al.. (2012). Type I interferon induces necroptosis in macrophages during infection with Salmonella enterica serovar Typhimurium. Nature Immunology. 13(10). 954–962. 350 indexed citations
13.
Russell, Marsha S., Renu Dudani, Lakshmi Krishnan, & Subash Sad. (2009). IFN-γ Expressed by T Cells Regulates the Persistence of Antigen Presentation by Limiting the Survival of Dendritic Cells. The Journal of Immunology. 183(12). 7710–7718. 12 indexed citations
14.
Dudani, Renu, Kaja Murali‐Krishna, Lakshmi Krishnan, & Subash Sad. (2008). IFN-γ Induces the Erosion of Preexisting CD8 T Cell Memory during Infection with a Heterologous Intracellular Bacterium. The Journal of Immunology. 181(3). 1700–1709. 22 indexed citations
15.
Dudani, Renu, Marsha S. Russell, Henk van Faassen, Lakshmi Krishnan, & Subash Sad. (2008). Mutation in the Fas Pathway Impairs CD8+ T Cell Memory. The Journal of Immunology. 180(5). 2933–2941. 6 indexed citations
16.
Sad, Subash, Renu Dudani, Komal Gurnani, et al.. (2008). Pathogen Proliferation Governs the Magnitude but Compromises the Function of CD8 T Cells. The Journal of Immunology. 180(9). 5853–5861. 19 indexed citations
17.
18.
Faassen, Henk van, Renu Dudani, Lakshmi Krishnan, & Subash Sad. (2004). Prolonged Antigen Presentation, APC-, and CD8+ T Cell Turnover during Mycobacterial Infection: Comparison with Listeria monocytogenes. The Journal of Immunology. 172(6). 3491–3500. 52 indexed citations
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Smith, Dean K., Renu Dudani, João Pedras-Vasconcelos, et al.. (2002). Cross-Reactive Antigen Is Required to Prevent Erosion of Established T Cell Memory and Tumor Immunity: A Heterologous Bacterial Model of Attrition. The Journal of Immunology. 169(3). 1197–1206. 35 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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