Blake Frey

734 total citations
17 papers, 432 citations indexed

About

Blake Frey is a scholar working on Immunology, Molecular Biology and Virology. According to data from OpenAlex, Blake Frey has authored 17 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 5 papers in Molecular Biology and 4 papers in Virology. Recurrent topics in Blake Frey's work include Immune Cell Function and Interaction (9 papers), HIV Research and Treatment (4 papers) and IL-33, ST2, and ILC Pathways (4 papers). Blake Frey is often cited by papers focused on Immune Cell Function and Interaction (9 papers), HIV Research and Treatment (4 papers) and IL-33, ST2, and ILC Pathways (4 papers). Blake Frey collaborates with scholars based in United States, Denmark and Sweden. Blake Frey's co-authors include Jay A. Berzofsky, Yongjun Sui, Yichuan Wang, Casey T. Weaver, Shahram Solaymani-Mohammadi, Rolf Billeskov, Min Gao, David Venzon, Vincent A. Laufer and Robin D. Hatton and has published in prestigious journals such as Nature, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Blake Frey

17 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Blake Frey United States 11 227 137 75 67 61 17 432
Tabinda Hussain Australia 10 158 0.7× 95 0.7× 49 0.7× 58 0.9× 50 0.8× 13 375
Khader Ghneim United States 8 314 1.4× 127 0.9× 39 0.5× 98 1.5× 74 1.2× 12 530
Glen M. Chew United States 13 376 1.7× 155 1.1× 126 1.7× 135 2.0× 158 2.6× 23 603
Aidan S. Hancock United States 10 180 0.8× 81 0.6× 19 0.3× 87 1.3× 175 2.9× 12 423
F. G. A. Delemarre Netherlands 12 250 1.1× 92 0.7× 29 0.4× 31 0.5× 35 0.6× 19 453
Lolita Bebris United States 6 233 1.0× 183 1.3× 45 0.6× 24 0.4× 35 0.6× 8 502
Chang You Wu Canada 5 463 2.0× 72 0.5× 94 1.3× 25 0.4× 16 0.3× 7 653
J. J. Hooks United States 4 348 1.5× 109 0.8× 83 1.1× 59 0.9× 65 1.1× 9 564
Thao Nguyen United States 3 224 1.0× 68 0.5× 86 1.1× 69 1.0× 9 0.1× 5 355
Jizheng Chen China 16 167 0.7× 263 1.9× 70 0.9× 110 1.6× 31 0.5× 30 589

Countries citing papers authored by Blake Frey

Since Specialization
Citations

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

Fields of papers citing papers by Blake Frey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Blake Frey

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

All Works

17 of 17 papers shown
1.
Fortmann, Seth D., Blake Frey, Edgar L. Ready, et al.. (2025). Prenatally derived macrophages support choroidal health and decline in age-related macular degeneration. The Journal of Experimental Medicine. 222(7). 1 indexed citations
2.
Nath, Meryl C., et al.. (2023). Disparities in Glycemic Outcomes Persist in Youth with Type 1 Diabetes and High-Technology Use. Pediatric Diabetes. 2023. 1–6. 1 indexed citations
3.
Pascalis, Roberto De, Blake Frey, Terry Wu, et al.. (2022). Working correlates of protection predict SchuS4-derived-vaccine candidates with improved efficacy against an intracellular bacterium, Francisella tularensis. npj Vaccines. 7(1). 95–95. 8 indexed citations
4.
Zindl, Carlene L., Steven Witte, Vincent A. Laufer, et al.. (2022). A nonredundant role for T cell-derived interleukin 22 in antibacterial defense of colonic crypts. Immunity. 55(3). 494–511.e11. 25 indexed citations
5.
Chen, Mei Lan, Xiangsheng Huang, Hongtao Wang, et al.. (2021). CAR directs T cell adaptation to bile acids in the small intestine. Nature. 593(7857). 147–151. 61 indexed citations
6.
DiToro, Daniel, Stacey N. Harbour, Jennifer K. Bando, et al.. (2020). Insulin-Like Growth Factors Are Key Regulators of T Helper 17 Regulatory T Cell Balance in Autoimmunity. Immunity. 52(4). 650–667.e10. 118 indexed citations
7.
Sui, Yongjun, Amiran Dzutsev, David Venzon, et al.. (2018). Influence of gut microbiome on mucosal immune activation and SHIV viral transmission in naive macaques. Mucosal Immunology. 11(4). 1219–1229. 28 indexed citations
8.
Pascalis, Roberto De, Patrik Rydén, Lara Mittereder, et al.. (2018). A panel of correlates predicts vaccine-induced protection of rats against respiratory challenge with virulent Francisella tularensis. PLoS ONE. 13(5). e0198140–e0198140. 19 indexed citations
9.
Frey, Blake, Jiansheng Jiang, Yongjun Sui, et al.. (2018). Effects of Cross-Presentation, Antigen Processing, and Peptide Binding in HIV Evasion of T Cell Immunity. The Journal of Immunology. 200(5). 1853–1864. 13 indexed citations
10.
Sui, Yongjun, Blake Frey, Yichuan Wang, et al.. (2017). Paradoxical myeloid-derived suppressor cell reduction in the bone marrow of SIV chronically infected macaques. PLoS Pathogens. 13(5). e1006395–e1006395. 20 indexed citations
11.
Billeskov, Rolf, Yichuan Wang, Shahram Solaymani-Mohammadi, et al.. (2017). Low antigen dose in adjuvant-based vaccination selectively induces CD4 T cells with enhanced functional avidity and protective efficacy. The Journal of Immunology. 198(Supplement_1). 73.9–73.9. 1 indexed citations
12.
Dzutsev, Amiran, Alison Hogg, Yongjun Sui, et al.. (2017). Differential T cell homing to colon vs. small intestine is imprinted by local CD11c+ APCs that determine homing receptors. Journal of Leukocyte Biology. 102(6). 1381–1388. 10 indexed citations
13.
Billeskov, Rolf, Yichuan Wang, Shahram Solaymani-Mohammadi, et al.. (2017). Low Antigen Dose in Adjuvant-Based Vaccination Selectively Induces CD4 T Cells with Enhanced Functional Avidity and Protective Efficacy. The Journal of Immunology. 198(9). 3494–3506. 45 indexed citations
14.
Sui, Yongjun, Eun Mi Lee, Yichuan Wang, et al.. (2015). Early SIV Dissemination After Intrarectal SIVmac251 Challenge Was Associated With Proliferating Virus-Susceptible Cells in the Colorectum. JAIDS Journal of Acquired Immune Deficiency Syndromes. 71(4). 353–358. 7 indexed citations
15.
Yu, Huifeng, Yongjun Sui, Yichuan Wang, et al.. (2015). Interleukin-15 Constrains Mucosal T Helper 17 Cell Generation: Influence of Mononuclear Phagocytes. PLoS ONE. 10(11). e0143001–e0143001. 8 indexed citations
16.
Solaymani-Mohammadi, Shahram, Omar Lakhdari, Steve Shenouda, et al.. (2015). Lack of the programmed death-1 receptor renders host susceptible to enteric microbial infection through impairing the production of the mucosal natural killer cell effector molecules. Journal of Leukocyte Biology. 99(3). 475–482. 20 indexed citations
17.
Sui, Yongjun, Alison Hogg, Yichuan Wang, et al.. (2014). Vaccine-induced myeloid cell population dampens protective immunity to SIV. Journal of Clinical Investigation. 124(6). 2538–2549. 47 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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