Julia A. Brown

13.5k total citations · 4 hit papers
37 papers, 6.2k citations indexed

About

Julia A. Brown is a scholar working on Immunology, Public Health, Environmental and Occupational Health and Oncology. According to data from OpenAlex, Julia A. Brown has authored 37 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 11 papers in Public Health, Environmental and Occupational Health and 10 papers in Oncology. Recurrent topics in Julia A. Brown's work include Mosquito-borne diseases and control (10 papers), Viral Infections and Vectors (9 papers) and Immune Cell Function and Interaction (8 papers). Julia A. Brown is often cited by papers focused on Mosquito-borne diseases and control (10 papers), Viral Infections and Vectors (9 papers) and Immune Cell Function and Interaction (8 papers). Julia A. Brown collaborates with scholars based in United States, United Kingdom and Belgium. Julia A. Brown's co-authors include Gordon J. Freeman, David A. Hafler, Clare Baecher‐Allan, David M. Dorfman, Laurie H. Glimcher, Howard L. Weiner, Ann Ranger, Vijay K. Kuchroo, Scott S. Zamvil and Nasrin Nabavi and has published in prestigious journals such as Science, Cell and Nature Communications.

In The Last Decade

Julia A. Brown

35 papers receiving 6.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

CD4+CD25high Regulatory Cells in Human Peripheral Blood

2001 1.5k citations Clare Baecher‐Allan, Julia A. Brown et al. The Journal of Immunology profile →
B7-1 and B7-2 costimulatory molecules activate differentially the Th1/Th2 developmental pathways: Application to autoimmune disease therapy

1995 1.4k citations Julia A. Brown, Laurie H. Glimcher et al. profile →
Blockade of Programmed Death-1 Ligands on Dendritic Cells Enhances T Cell Activation and Cytokine Production

2003 779 citations Julia A. Brown, David M. Dorfman et al. The Journal of Immunology profile →
Enhancement of Zika virus pathogenesis by preexisting antiflavivirus immunity

2017 387 citations Susana V. Bardina, Shashank Tripathi et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julia A. Brown United States	21	4.1k	1.6k	915	836	702	37	6.2k
Shinjiro Hamano Japan	31	2.3k 0.6×	943 0.6×	901 1.0×	632 0.8×	787 1.1×	125	4.4k
Anja Fuchs United States	31	5.1k 1.3×	703 0.4×	488 0.5×	493 0.6×	695 1.0×	54	6.7k
Eva V. Acosta Rodríguez Argentina	24	3.5k 0.9×	767 0.5×	449 0.5×	357 0.4×	871 1.2×	54	4.7k
David H. McDermott United States	36	2.4k 0.6×	1.8k 1.1×	450 0.5×	722 0.9×	595 0.8×	79	5.1k
Michael Lohoff Germany	35	4.4k 1.1×	1.1k 0.7×	570 0.6×	261 0.3×	624 0.9×	88	6.1k
Joe Craft United States	47	6.3k 1.6×	1.2k 0.8×	359 0.4×	469 0.6×	852 1.2×	104	8.4k
Nicolas Burdin France	33	4.3k 1.1×	1.1k 0.7×	316 0.3×	388 0.5×	640 0.9×	58	5.5k
Marta Catálfamo United States	25	4.3k 1.1×	1.1k 0.7×	215 0.2×	747 0.9×	753 1.1×	55	6.0k
Raffaele Badolato Italy	43	3.2k 0.8×	886 0.6×	421 0.5×	724 0.9×	857 1.2×	165	6.0k
Jan Pravsgaard Christensen Denmark	42	3.9k 1.0×	1.6k 1.0×	455 0.5×	814 1.0×	1.6k 2.2×	149	6.3k

Countries citing papers authored by Julia A. Brown

Since Specialization

Citations

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

Fields of papers citing papers by Julia A. Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia A. Brown. 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 Julia A. Brown. The network helps show where Julia A. Brown may publish in the future.

Co-authorship network of co-authors of Julia A. Brown

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

All Works

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20 of 20 papers shown

Sanidad, Katherine Z., Aparna Ananthanarayanan, Tingting Li, et al.. (2024). Gut bacteria–derived serotonin promotes immune tolerance in early life. Science Immunology. 9(93). eadj4775–eadj4775. 43 indexed citations

Acklin, Joshua A., Julia A. Brown, Gregory A. Foster, et al.. (2021). Evaluating the Safety of West Nile Virus Immunity During Congenital Zika Virus Infection in Mice. Frontiers in Immunology. 12. 686411–686411. 5 indexed citations

Amir, Mohammed, et al.. (2020). Maternal Microbiome and Infections in Pregnancy. Microorganisms. 8(12). 1996–1996. 46 indexed citations

Kottkamp, Angelica C, et al.. (2019). Atovaquone Inhibits Arbovirus Replication through the Depletion of Intracellular Nucleotides. Journal of Virology. 93(11). 24 indexed citations

Bailey, Mark, James Duehr, Felix Broecker, et al.. (2018). Human antibodies targeting Zika virus NS1 provide protection against disease in a mouse model. Nature Communications. 9(1). 4560–4560. 79 indexed citations

Durham, Natasha D., Benjamin Tweel, Kevin W. Hoffman, et al.. (2018). P2X Antagonists Inhibit HIV-1 Productive Infection and Inflammatory Cytokines Interleukin-10 (IL-10) and IL-1β in a Human Tonsil Explant Model. Journal of Virology. 93(1). 31 indexed citations

Tripathi, Shashank, Vinod Balasubramaniam, Julia A. Brown, et al.. (2017). A novel Zika virus mouse model reveals strain specific differences in virus pathogenesis and host inflammatory immune responses. PLoS Pathogens. 13(3). e1006258–e1006258. 182 indexed citations

Bardina, Susana V., Shashank Tripathi, James Duehr, et al.. (2017). Enhancement of Zika virus pathogenesis by preexisting antiflavivirus immunity. Science. 356(6334). 175–180. 387 indexed citations breakdown →

Politikos, Ioannis, Haesook T. Kim, Theodoros Karantanos, et al.. (2016). Angiogenic Factors Correlate with T Cell Immune Reconstitution and Clinical Outcomes after Double-Unit Umbilical Cord Blood Transplantation in Adults. Biology of Blood and Marrow Transplantation. 23(1). 103–112. 3 indexed citations

10.

Politikos, Ioannis, Haesook T. Kim, Sarah Nikiforow, et al.. (2015). IL-7 and SCF Levels Inversely Correlate with T Cell Reconstitution and Clinical Outcomes after Cord Blood Transplantation in Adults. PLoS ONE. 10(7). e0132564–e0132564. 19 indexed citations

11.

Brown, Julia A. & Vassiliki A. Boussiotis. (2008). Umbilical cord blood transplantation: Basic biology and clinical challenges to immune reconstitution. Clinical Immunology. 127(3). 286–297. 121 indexed citations

12.

Cai, Guifang, Anukanth Anumanthan, Julia A. Brown, et al.. (2008). CD160 inhibits activation of human CD4+ T cells through interaction with herpesvirus entry mediator. Nature Immunology. 9(2). 176–185. 267 indexed citations

13.

Ge, Xupeng, Julia A. Brown, Megan Sykes, & Vassiliki A. Boussiotis. (2008). CD134-Allodepletion Allows Selective Elimination of Alloreactive Human T Cells without Loss of Virus-Specific and Leukemia-Specific Effectors. Biology of Blood and Marrow Transplantation. 14(5). 518–530. 33 indexed citations

14.

Dorfman, David M., Julia A. Brown, Aliakbar Shahsafaei, & Gordon J. Freeman. (2006). Programmed Death-1 (PD-1) is a Marker of Germinal Center-associated T Cells and Angioimmunoblastic T-Cell Lymphoma. The American Journal of Surgical Pathology. 30(7). 802–810. 264 indexed citations

15.

Brown, Julia A., David M. Dorfman, Fengrong Ma, et al.. (2003). Blockade of Programmed Death-1 Ligands on Dendritic Cells Enhances T Cell Activation and Cytokine Production. The Journal of Immunology. 170(3). 1257–1266. 779 indexed citations breakdown →

16.

Baecher‐Allan, Clare, Julia A. Brown, Gordon J. Freeman, & David A. Hafler. (2003). CD4 ⁺ CD25 ⁺ Regulatory Cells from Human Peripheral Blood Express Very High Levels of CD25 Ex Vivo. Novartis Foundation symposium. 252. 67–91. 108 indexed citations

17.

Brown, Julia A. & Colin A. Brown. (2002). Evaluation of reactive blue 2 derivatives as selective antagonists for P2Y receptors. Vascular Pharmacology. 39(6). 309–315. 18 indexed citations

18.

Baecher‐Allan, Clare, Julia A. Brown, Gordon J. Freeman, & David A. Hafler. (2001). CD4+CD25high Regulatory Cells in Human Peripheral Blood. The Journal of Immunology. 167(3). 1245–1253. 1530 indexed citations breakdown →

19.

Brown, Julia A., Sarah Jones, John Howl, et al.. (2000). Critical Evaluation of ECV304 as a Human Endothelial Cell Model Defined by Genetic Analysis and Functional Responses: A Comparison with the Human Bladder Cancer Derived Epithelial Cell Line T24/83. Laboratory Investigation. 80(1). 37–45. 155 indexed citations

20.

Douhan, John, et al.. (1996). Regulation of the E_β gene in vivo: lessons from E_β^d transgenic mice. International Immunology. 8(2). 255–265. 4 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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