Rahul Basu

653 total citations
24 papers, 456 citations indexed

About

Rahul Basu is a scholar working on Infectious Diseases, Molecular Biology and Virology. According to data from OpenAlex, Rahul Basu has authored 24 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 9 papers in Molecular Biology and 9 papers in Virology. Recurrent topics in Rahul Basu's work include HIV Research and Treatment (9 papers), Mosquito-borne diseases and control (5 papers) and Immune Cell Function and Interaction (5 papers). Rahul Basu is often cited by papers focused on HIV Research and Treatment (9 papers), Mosquito-borne diseases and control (5 papers) and Immune Cell Function and Interaction (5 papers). Rahul Basu collaborates with scholars based in United States, India and Singapore. Rahul Basu's co-authors include Jayasri Das Sarma, Harriet L. Robinson, Nathanael McCurley, Arban Domi, Farshad Guirakhoo, Rama Rao Amara, François Villinger, Nisha K. Duggal, Suefen Kwa and Dalit Talmi-Frank and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Immunology.

In The Last Decade

Rahul Basu

21 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rahul Basu United States 13 200 152 126 120 106 24 456
Zaikun Xu Canada 10 233 1.2× 153 1.0× 148 1.2× 78 0.7× 182 1.7× 14 593
Sarah Talley United States 10 133 0.7× 228 1.5× 102 0.8× 83 0.7× 32 0.3× 13 459
Joséphine M. Reynaud France 7 213 1.1× 54 0.4× 87 0.7× 153 1.3× 152 1.4× 8 428
Andrés Mejía United States 12 72 0.4× 88 0.6× 60 0.5× 180 1.5× 80 0.8× 31 453
Minu Nain India 5 187 0.9× 54 0.4× 55 0.4× 122 1.0× 267 2.5× 15 422
Christopher Chung United States 10 197 1.0× 86 0.6× 120 1.0× 82 0.7× 160 1.5× 17 426
Hamid Salimi United States 12 286 1.4× 189 1.2× 126 1.0× 83 0.7× 187 1.8× 16 619
Franziska B. Grieder United States 15 396 2.0× 82 0.5× 169 1.3× 149 1.2× 386 3.6× 29 740
Hannah J. Barbian United States 10 132 0.7× 247 1.6× 141 1.1× 88 0.7× 34 0.3× 21 468
Lucie Bonnet‐Madin France 8 384 1.9× 49 0.3× 172 1.4× 133 1.1× 385 3.6× 10 707

Countries citing papers authored by Rahul Basu

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Basu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahul Basu

This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Basu. A scholar is included among the top collaborators of Rahul Basu 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 Rahul Basu. Rahul Basu 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.
Basu, Mausumi, Chiara Zurla, Daryll Vanover, et al.. (2024). mRNA-encoded Cas13 can be used to treat dengue infections in mice. Nature Microbiology. 9(8). 2160–2172. 9 indexed citations
2.
Jana, Soumen, et al.. (2024). Differential expression of cellular prion protein (PrPC) in mouse hepatitis virus induced neuroinflammation. Journal of NeuroVirology. 30(3). 215–228.
3.
Moghadasi, Seyed Arad, Yuka Otsuka, Christina B. Cooley, et al.. (2024). SARS-CoV-2 Mpro inhibitor identification using a cellular gain-of-signal assay for high-throughput screening. SLAS DISCOVERY. 29(6). 100181–100181. 2 indexed citations
4.
Basu, Rahul, Clinton J. Bradfield, Jing Sun, et al.. (2024). Bactericidal antibiotic treatment induces damaging inflammation via TLR9 sensing of bacterial DNA. Nature Communications. 15(1). 10359–10359. 6 indexed citations
5.
Basu, Rahul, Sundar Ganesan, Clayton W. Winkler, et al.. (2023). Identification of age-specific gene regulators of La Crosse virus neuroinvasion and pathogenesis. Nature Communications. 14(1). 2836–2836. 6 indexed citations
6.
Ojha, Durbadal, Rahul Basu, & Karin E. Peterson. (2022). Therapeutic targeting of organelles for inhibition of Zika virus replication in neurons. Antiviral Research. 209. 105464–105464. 2 indexed citations
7.
Basu, Rahul, Vinod Nair, Clayton W. Winkler, et al.. (2021). Age influences susceptibility of brain capillary endothelial cells to La Crosse virus infection and cell death. Journal of Neuroinflammation. 18(1). 125–125. 8 indexed citations
8.
Salvato, María S., Arban Domi, Sandra Medina-Moreno, et al.. (2019). A Single Dose of Modified Vaccinia Ankara Expressing Lassa Virus-like Particles Protects Mice from Lethal Intra-cerebral Virus Challenge. Pathogens. 8(3). 133–133. 25 indexed citations
9.
Domi, Arban, Friederike Feldmann, Rahul Basu, et al.. (2018). A Single Dose of Modified Vaccinia Ankara expressing Ebola Virus Like Particles Protects Nonhuman Primates from Lethal Ebola Virus Challenge. Scientific Reports. 8(1). 864–864. 33 indexed citations
10.
Basu, Rahul, et al.. (2018). Loss of Cx43-Mediated Functional Gap Junction Communication in Meningeal Fibroblasts Following Mouse Hepatitis Virus Infection. Molecular Neurobiology. 55(8). 6558–6571. 19 indexed citations
11.
Brault, Aaron C., Arban Domi, Erin McDonald, et al.. (2017). A Zika Vaccine Targeting NS1 Protein Protects Immunocompetent Adult Mice in a Lethal Challenge Model. Scientific Reports. 7(1). 14769–14769. 90 indexed citations
13.
McCurley, Nathanael, Arban Domi, Rahul Basu, et al.. (2017). HIV transmitted/founder vaccines elicit autologous tier 2 neutralizing antibodies for the CD4 binding site. PLoS ONE. 12(10). e0177863–e0177863. 9 indexed citations
14.
Shen, Xiaoying, Rahul Basu, Sheetal Sawant, et al.. (2017). HIV-1 gp120 and Modified Vaccinia Virus Ankara (MVA) gp140 Boost Immunogens Increase Immunogenicity of a DNA/MVA HIV-1 Vaccine. Journal of Virology. 91(24). 16 indexed citations
16.
Kannanganat, Sunil, Sailaja Gangadhara, Rafiq Nabi, et al.. (2016). Strong, but Age-Dependent, Protection Elicited by a Deoxyribonucleic Acid/Modified Vaccinia Ankara Simian Immunodeficiency Virus Vaccine. Open Forum Infectious Diseases. 3(1). ofw034–ofw034. 13 indexed citations
17.
Basu, Rahul, et al.. (2015). Mouse Hepatitis Virus Infection Remodels Connexin43-Mediated Gap Junction Intercellular Communication In Vitro and In Vivo. Journal of Virology. 90(5). 2586–2599. 29 indexed citations
18.
Kwa, Suefen, Xiaoying Shen, Jung Joo Hong, et al.. (2015). CD40L-Adjuvanted DNA/Modified Vaccinia Virus Ankara Simian Immunodeficiency Virus (SIV) Vaccine Enhances Protection against Neutralization-Resistant Mucosal SIV Infection. Journal of Virology. 89(8). 4690–4695. 24 indexed citations
19.
Robinson, Harriet L., Melanie Thompson, Sonya L. Heath, et al.. (2014). Elicitation of Immune Responses by a DNA/MVA Vaccine in ART Treated Patients in a Treatment Interruption Trial. AIDS Research and Human Retroviruses. 30(S1). A17–A17. 1 indexed citations
20.
Banerjee, Subhash, et al.. (1994). Humoral immunity response in malignancies with special reference to the effect of radiotherapy.. PubMed. 92(10). 323–5, 330. 1 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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