Clinton J. Bradfield

925 total citations
18 papers, 611 citations indexed

About

Clinton J. Bradfield is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Clinton J. Bradfield has authored 18 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 8 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Clinton J. Bradfield's work include interferon and immune responses (6 papers), Inflammasome and immune disorders (6 papers) and Immune cells in cancer (4 papers). Clinton J. Bradfield is often cited by papers focused on interferon and immune responses (6 papers), Inflammasome and immune disorders (6 papers) and Immune cells in cancer (4 papers). Clinton J. Bradfield collaborates with scholars based in United States, United Kingdom and France. Clinton J. Bradfield's co-authors include John D. MacMicking, Bae-Hoon Kim, Pradeep Kumar, Avinash R. Shenoy, Eui‐Soon Park, Pradeep Kumar, Jonathan Chee, Iain D. C. Fraser, Jing Sun and Ryan G. Gaudet and has published in prestigious journals such as Science, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Clinton J. Bradfield

16 papers receiving 608 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clinton J. Bradfield United States 11 296 252 140 90 63 18 611
Ghizlane Maarifi France 16 345 1.2× 400 1.6× 111 0.8× 183 2.0× 62 1.0× 25 717
Adel M. Nour United States 9 279 0.9× 512 2.0× 126 0.9× 98 1.1× 43 0.7× 13 779
James Sissons United States 18 263 0.9× 693 2.8× 108 0.8× 157 1.7× 52 0.8× 25 1.1k
Wibke Ballhorn Germany 14 233 0.8× 103 0.4× 78 0.6× 77 0.9× 102 1.6× 22 554
Marı́a Teresa Damiani Argentina 13 204 0.7× 516 2.0× 123 0.9× 50 0.6× 34 0.5× 27 868
Sarah Veloso Nogueira Brazil 11 154 0.5× 128 0.5× 129 0.9× 183 2.0× 73 1.2× 11 464
Fiorella Kotsias France 10 504 1.7× 243 1.0× 181 1.3× 73 0.8× 34 0.5× 16 804
Gabriel Morón Argentina 17 660 2.2× 295 1.2× 127 0.9× 111 1.2× 22 0.3× 37 998
Sheng‐Li Ming China 12 128 0.4× 137 0.5× 156 1.1× 99 1.1× 27 0.4× 28 433
Berislav Lisnić Croatia 15 229 0.8× 196 0.8× 285 2.0× 58 0.6× 39 0.6× 35 565

Countries citing papers authored by Clinton J. Bradfield

Since Specialization
Citations

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

Fields of papers citing papers by Clinton J. Bradfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clinton J. Bradfield. 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 Clinton J. Bradfield. The network helps show where Clinton J. Bradfield may publish in the future.

Co-authorship network of co-authors of Clinton J. Bradfield

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

All Works

18 of 18 papers shown
1.
Bradfield, Clinton J., et al.. (2025). Nigericin‐Triggered Phosphodynamics in Inflammasome Formation and Pyroptosis. PubMed. e70030–e70030.
2.
Zhu, Shiwei, Clinton J. Bradfield, Agnieszka Mamińska, et al.. (2024). Native architecture of a human GBP1 defense complex for cell-autonomous immunity to infection. Science. 383(6686). eabm9903–eabm9903. 20 indexed citations
3.
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
4.
Bradfield, Clinton J., et al.. (2024). Efficient electroporation in primary cells with PEDOT:PSS electrodes. Science Advances. 10(43). eado5042–eado5042. 6 indexed citations
5.
Bradfield, Clinton J., Orna Ernst, Jing Sun, et al.. (2023). Biphasic JNK signaling reveals distinct MAP3K complexes licensing inflammasome formation and pyroptosis. Cell Death and Differentiation. 30(2). 589–604. 22 indexed citations
6.
Chan, Waipan, Xiang Zhao, Dongya Jia, et al.. (2023). TCR ligand potency differentially impacts PD-1 inhibitory effects on diverse signaling pathways. The Journal of Experimental Medicine. 220(12). 7 indexed citations
7.
Bradfield, Clinton J., Orna Ernst, Sinu P. John, et al.. (2023). Biphasic JNK signaling reveals distinct MAP3K complexes licensing inflammasome formation and pyroptosis. The Journal of Immunology. 210(Supplement_1). 167.01–167.01. 1 indexed citations
8.
John, Sinu P., Anju Singh, Jing Sun, et al.. (2022). Small-molecule screening identifies Syk kinase inhibition and rutaecarpine as modulators of macrophage training and SARS-CoV-2 infection. Cell Reports. 41(1). 111441–111441. 9 indexed citations
9.
Gaudet, Ryan G., Shiwei Zhu, Bae-Hoon Kim, et al.. (2021). A human apolipoprotein L with detergent-like activity kills intracellular pathogens. Science. 373(6552). 64 indexed citations
10.
Dorrington, Michael G., Clinton J. Bradfield, Justin Lack, et al.. (2021). Type I IFNs facilitate innate immune control of the opportunistic bacteria Burkholderia cenocepacia in the macrophage cytosol. PLoS Pathogens. 17(3). e1009395–e1009395. 10 indexed citations
11.
Daniels, Casey M., Clinton J. Bradfield, Trisha Tucholski, et al.. (2020). Dynamic ADP-Ribosylome, Phosphoproteome, and Interactome in LPS-Activated Macrophages. Journal of Proteome Research. 19(9). 3716–3731. 16 indexed citations
12.
John, Sinu P., Jing Sun, Rebecca J. Carlson, et al.. (2018). IFIT1 Exerts Opposing Regulatory Effects on the Inflammatory and Interferon Gene Programs in LPS-Activated Human Macrophages. Cell Reports. 25(1). 95–106.e6. 65 indexed citations
13.
Lipovsky, Alex, Wei Zhang, Clinton J. Bradfield, et al.. (2018). The Cellular Endosomal Protein Stannin Inhibits Human Papillomavirus Entry. SSRN Electronic Journal.
14.
Lipovsky, Alex, Clinton J. Bradfield, John D. MacMicking, et al.. (2017). The cellular endosomal protein stannin inhibits intracellular trafficking of human papillomavirus during virus entry. Journal of General Virology. 98(11). 2821–2836. 10 indexed citations
15.
Kim, Bae-Hoon, Jonathan Chee, Clinton J. Bradfield, et al.. (2016). Interferon-induced guanylate-binding proteins in inflammasome activation and host defense. Nature Immunology. 17(5). 481–489. 116 indexed citations
16.
Gaudet, Ryan G., Clinton J. Bradfield, & John D. MacMicking. (2016). Evolution of Cell-Autonomous Effector Mechanisms in Macrophages versus Non-Immune Cells. Microbiology Spectrum. 4(6). 17 indexed citations
17.
Kim, Bae-Hoon, Avinash R. Shenoy, Pradeep Kumar, Clinton J. Bradfield, & John D. MacMicking. (2012). IFN-Inducible GTPases in Host Cell Defense. Cell Host & Microbe. 12(4). 432–444. 221 indexed citations
18.
Bradfield, Clinton J., et al.. (2012). The Immune Response to a Vesicular Stomatitis Virus Vaccine Vector Is Independent of Particulate Antigen Secretion and Protein Turnover Rate. Journal of Virology. 86(8). 4253–4261. 21 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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Rankless by CCL
2026