Todd Bradley

2.1k total citations
30 papers, 707 citations indexed

About

Todd Bradley is a scholar working on Infectious Diseases, Immunology and Molecular Biology. According to data from OpenAlex, Todd Bradley has authored 30 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 12 papers in Immunology and 8 papers in Molecular Biology. Recurrent topics in Todd Bradley's work include SARS-CoV-2 and COVID-19 Research (10 papers), Immune Cell Function and Interaction (8 papers) and HIV Research and Treatment (6 papers). Todd Bradley is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (10 papers), Immune Cell Function and Interaction (8 papers) and HIV Research and Treatment (6 papers). Todd Bradley collaborates with scholars based in United States, United Kingdom and Netherlands. Todd Bradley's co-authors include Marco Blanchette, Malcolm Cook, Cas LeMaster, Rangaraj Selvarangan, Elin Grundberg, Elizabeth Fraley, Barton F. Haynes, Guido Ferrari, Edward P. Browne and Dithi Banerjee and has published in prestigious journals such as New England Journal of Medicine, Nucleic Acids Research and Genes & Development.

In The Last Decade

Todd Bradley

27 papers receiving 699 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Todd Bradley United States 11 337 261 180 123 88 30 707
Barbara Ridolfi Italy 15 179 0.5× 152 0.6× 183 1.0× 139 1.1× 65 0.7× 26 515
Patricia A. Thibault Canada 14 370 1.1× 108 0.4× 79 0.4× 28 0.2× 119 1.4× 26 601
Ariane Volkmann United States 13 201 0.6× 108 0.4× 195 1.1× 75 0.6× 27 0.3× 27 527
Nicolas Vabret United States 9 167 0.5× 88 0.3× 88 0.5× 20 0.2× 25 0.3× 21 304
Nicholas Bayless United States 7 394 1.2× 77 0.3× 139 0.8× 21 0.2× 36 0.4× 16 671
Jason A. Iskarpatyoti United States 8 370 1.1× 203 0.8× 478 2.7× 10 0.1× 43 0.5× 10 784
Wei Hou China 10 558 1.7× 123 0.5× 235 1.3× 346 2.8× 168 1.9× 17 905
Robert A. Barclay United States 12 469 1.4× 229 0.9× 181 1.0× 254 2.1× 123 1.4× 18 691

Countries citing papers authored by Todd Bradley

Since Specialization
Citations

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

Fields of papers citing papers by Todd Bradley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Todd Bradley

This figure shows the co-authorship network connecting the top 25 collaborators of Todd Bradley. A scholar is included among the top collaborators of Todd Bradley 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 Todd Bradley. Todd Bradley 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.
Aggelakopoulou, Maria, Santosh Khanal, Cas LeMaster, et al.. (2026). Bromodomain and extra-terminal protein inhibitors modulate natural killer cell function and differentiation. Scientific Reports. 16(1). 3465–3465.
2.
McLennan, Rebecca, et al.. (2024). Autoantibodies to ACE2 and immune molecules are associated with COVID-19 disease severity. SHILAP Revista de lepidopterología. 4(1). 47–47. 10 indexed citations
3.
Menden, Heather, et al.. (2024). SARS-CoV-2 envelope protein regulates innate immune tolerance. iScience. 27(6). 109975–109975. 7 indexed citations
4.
Bradley, Todd, et al.. (2024). Triggered - does maternal COVID-19 program an exaggerated immune response in neonates?. Pediatric Research. 95(6). 1400–1401. 1 indexed citations
5.
LeMaster, Cas, Santosh Khanal, Daniel Louiselle, et al.. (2023). The cellular and immunological dynamics of early and transitional human milk. Communications Biology. 6(1). 10 indexed citations
6.
McLennan, Rebecca, et al.. (2022). Development of combinatorial antibody therapies for diffuse large B cell lymphoma. Frontiers in Medicine. 9. 1034594–1034594. 2 indexed citations
7.
Pollara, Justin, Santosh Khanal, R. Whitney Edwards, et al.. (2022). Single-cell analysis of immune cell transcriptome during HIV-1 infection and therapy. BMC Immunology. 23(1). 48–48. 10 indexed citations
8.
LeMaster, Cas, Elizabeth Fraley, Santosh Khanal, et al.. (2022). Cross-reactive antibodies elicited to conserved epitopes on SARS-CoV-2 spike protein after infection and vaccination. Scientific Reports. 12(1). 6496–6496. 25 indexed citations
9.
Fraley, Elizabeth, Santosh Khanal, Cas LeMaster, et al.. (2022). Effects of Prior Infection with SARS-CoV-2 on B Cell Receptor Repertoire Response during Vaccination. Vaccines. 10(9). 1477–1477. 4 indexed citations
10.
Banerjee, Dithi, Todd Bradley, Warren Cheung, et al.. (2021). Immune cell residency in the nasal mucosa may partially explain respiratory disease severity across the age range. Scientific Reports. 11(1). 15927–15927. 17 indexed citations
11.
Khanal, Santosh & Todd Bradley. (2021). A prognostic gene signature for predicting survival outcome in diffuse large B-cell lymphoma. Cancer Genetics. 252-253. 87–95. 1 indexed citations
12.
Nielsen, Carolyn M., Ane Ogbe, Isabela Pedroza‐Pacheco, et al.. (2021). Protein/AS01B vaccination elicits stronger, more Th2-skewed antigen-specific human T follicular helper cell responses than heterologous viral vectors. Cell Reports Medicine. 2(3). 100207–100207. 28 indexed citations
13.
Fraley, Elizabeth, Cas LeMaster, Dithi Banerjee, et al.. (2021). Humoral immune responses during SARS-CoV-2 mRNA vaccine administration in seropositive and seronegative individuals. BMC Medicine. 19(1). 169–169. 44 indexed citations
14.
McLennan, Rebecca, et al.. (2021). Natural killer cells in liver transplantation: Can we harness the power of the immune checkpoint to promote tolerance?. Clinical and Translational Science. 15(5). 1091–1103. 7 indexed citations
15.
Edwards, Robert J., Celia C. LaBranche, Katayoun Mansouri, et al.. (2021). Polyclonal Broadly Neutralizing Antibody Activity Characterized by CD4 Binding Site and V3-Glycan Antibodies in a Subset of HIV-1 Virus Controllers. Frontiers in Immunology. 12. 670561–670561. 6 indexed citations
16.
Bradley, Todd, et al.. (2020). Targeting Natural Killer Cells for Improved Immunity and Control of the Adaptive Immune Response. Frontiers in Cellular and Infection Microbiology. 10. 231–231. 46 indexed citations
17.
Bradley, Todd, Guido Ferrari, Barton F. Haynes, David M. Margolis, & Edward P. Browne. (2018). Single-Cell Analysis of Quiescent HIV Infection Reveals Host Transcriptional Profiles that Regulate Proviral Latency. Cell Reports. 25(1). 107–117.e3. 78 indexed citations
18.
Bradley, Todd, Malcolm Cook, & Marco Blanchette. (2014). SR proteins control a complex network of RNA-processing events. RNA. 21(1). 75–92. 100 indexed citations
19.
Taliaferro, J. Matthew, et al.. (2013). Two new and distinct roles for Drosophila Argonaute-2 in the nucleus: alternative pre-mRNA splicing and transcriptional repression. Genes & Development. 27(4). 378–389. 83 indexed citations
20.
Schopman, Nick C.T., Marjolein H. Willemsen, Ying Poi Liu, et al.. (2011). Deep sequencing of virus-infected cells reveals HIV-encoded small RNAs. Nucleic Acids Research. 40(1). 414–427. 109 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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