Jay H. Bream

9.5k total citations · 2 hit papers
85 papers, 7.1k citations indexed

About

Jay H. Bream is a scholar working on Immunology, Oncology and Virology. According to data from OpenAlex, Jay H. Bream has authored 85 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Immunology, 24 papers in Oncology and 23 papers in Virology. Recurrent topics in Jay H. Bream's work include Immune Cell Function and Interaction (33 papers), HIV Research and Treatment (23 papers) and T-cell and B-cell Immunology (16 papers). Jay H. Bream is often cited by papers focused on Immune Cell Function and Interaction (33 papers), HIV Research and Treatment (23 papers) and T-cell and B-cell Immunology (16 papers). Jay H. Bream collaborates with scholars based in United States, United Kingdom and China. Jay H. Bream's co-authors include Howard A. Young, John J. O’Shea, Mary Carrington, Charles S. Rabkin, Maureen P. Martin, Kenneth E.L. McColl, George Lanyon, Jesús Herrera, Emad El‐Omar and Jolanta Lissowska and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Jay H. Bream

85 papers receiving 6.9k 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.

Interleukin-1 polymorphisms associated with increased risk of gastric cancer

2000 1.9k citations Emad El‐Omar, Mary Carrington et al. Nature profile →
The effect of HAART-induced HIV suppression on circulating markers of inflammation and immune activation

2014 298 citations Lisa P. Jacobson, Elizabeth C. Breen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jay H. Bream United States	39	3.2k	1.6k	1.4k	1.2k	1.0k	85	7.1k
Stig S. Frøland Norway	58	4.6k 1.4×	1.1k 0.7×	2.2k 1.6×	1.2k 1.0×	2.3k 2.2×	225	11.5k
Fredrik Müller Norway	45	2.2k 0.7×	563 0.4×	1.2k 0.9×	635 0.5×	1.3k 1.3×	134	6.2k
Ineke J. M. ten Berge Netherlands	48	3.8k 1.2×	858 0.5×	799 0.6×	1.1k 1.0×	2.8k 2.7×	189	7.7k
Peter Mannon United States	31	2.2k 0.7×	1.0k 0.7×	1.7k 1.3×	465 0.4×	935 0.9×	71	6.2k
Saurabh Mehandru United States	34	2.7k 0.8×	1.5k 0.9×	2.0k 1.5×	555 0.5×	2.7k 2.6×	72	8.7k
Jan Ceuppens Belgium	61	6.0k 1.9×	1.2k 0.7×	2.1k 1.6×	1.3k 1.1×	1.3k 1.2×	317	12.6k
Marco Carli Italy	37	4.0k 1.2×	762 0.5×	771 0.6×	616 0.5×	1.4k 1.3×	98	7.8k
Seymour Katz United States	51	4.1k 1.3×	1.8k 1.1×	1.3k 1.0×	935 0.8×	2.5k 2.4×	248	11.0k
Steve Nelson United States	50	3.0k 0.9×	394 0.3×	1.3k 1.0×	618 0.5×	2.3k 2.2×	195	7.7k
Akihiro Yachie Japan	50	4.0k 1.2×	1.2k 0.7×	4.4k 3.3×	1.4k 1.2×	1.0k 1.0×	356	10.7k

Countries citing papers authored by Jay H. Bream

Since Specialization

Citations

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

Fields of papers citing papers by Jay H. Bream

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay H. Bream. 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 Jay H. Bream. The network helps show where Jay H. Bream may publish in the future.

Co-authorship network of co-authors of Jay H. Bream

This figure shows the co-authorship network connecting the top 25 collaborators of Jay H. Bream. A scholar is included among the top collaborators of Jay H. Bream 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 Jay H. Bream. Jay H. Bream 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

Sehl, Mary E., et al.. (2024). Decreased but persistent epigenetic age acceleration is associated with changes in T-cell subsets after initiation of highly active antiretroviral therapy in persons living with HIV. SHILAP Revista de lepidopterología. 4. 1356509–1356509. 2 indexed citations

Breen, Elizabeth C., Mary E. Sehl, Roger Shih, et al.. (2022). Accelerated aging with HIV occurs at the time of initial HIV infection. iScience. 25(7). 104488–104488. 38 indexed citations

Dabitao, Djénéba, Michael E. Urbanowski, Bourahima Kone, et al.. (2020). Short Communication: Genetic Variation in Human IL10 Proximal Promoter and Susceptibility to HIV-1 Infection in Mali, West Africa. AIDS Research and Human Retroviruses. 37(1). 57–61. 1 indexed citations

Hussain, Shehnaz K., Asieh Golozar, Daniel P. Widney, et al.. (2020). Effect of Statin Use on Inflammation and Immune Activation Biomarkers in HIV-Infected Persons on Effective Antiretroviral Therapy. AIDS Research and Human Retroviruses. 37(5). 357–367. 10 indexed citations

Ma, Jinxia, Palak Shah, Priyanka Uprety, et al.. (2020). The development of colitis in Il10 mice is dependent on IL-22. Mucosal Immunology. 13(3). 493–506. 48 indexed citations

Bhavsar, Nrupen A., Jay H. Bream, Alan K. Meeker, et al.. (2014). A Peripheral Circulating TH1 Cytokine Profile Is Inversely Associated with Prostate Cancer Risk in CLUE II. Cancer Epidemiology Biomarkers & Prevention. 23(11). 2561–2567. 18 indexed citations

Rizvi, Syed, Nasir Salam, Jie Geng, et al.. (2014). Distinct Assembly Profiles of HLA-B Molecules. The Journal of Immunology. 192(11). 4967–4976. 72 indexed citations

Vendrame, Elena, Shehnaz K. Hussain, Elizabeth C. Breen, et al.. (2013). Serum Levels of Cytokines and Biomarkers for Inflammation and Immune Activation, and HIV-Associated Non-Hodgkin B-Cell Lymphoma Risk. Cancer Epidemiology Biomarkers & Prevention. 23(2). 343–349. 52 indexed citations

Hussain, Shehnaz K., Weiming Zhu, Shen-Chih Chang, et al.. (2012). Serum Levels of the Chemokine CXCL13, Genetic Variation in CXCL13 and Its Receptor CXCR5, and HIV-Associated Non-Hodgkin B-Cell Lymphoma Risk. Cancer Epidemiology Biomarkers & Prevention. 22(2). 295–307. 45 indexed citations

10.

Breen, Elizabeth C., Shehnaz K. Hussain, Larry Magpantay, et al.. (2011). B-Cell Stimulatory Cytokines and Markers of Immune Activation Are Elevated Several Years Prior to the Diagnosis of Systemic AIDS–Associated Non-Hodgkin B-Cell Lymphoma. Cancer Epidemiology Biomarkers & Prevention. 20(7). 1303–1314. 100 indexed citations

11.

Gingo, Matthew R., Lorrie Lucht, Kieran R. Daly, et al.. (2011). Serologic Responses to Pneumocystis Proteins in HIV Patients With and Without Pneumocystis jirovecii Pneumonia. JAIDS Journal of Acquired Immune Deficiency Syndromes. 57(3). 190–196. 25 indexed citations

12.

Dabitao, Djénéba, Joseph B. Margolick, & Jay H. Bream. (2010). Performance evaluation of two multiplex technologies for the measurement of serum cytokines in HIV-infected individuals (134.17). The Journal of Immunology. 184(Supplement_1). 134.17–134.17. 1 indexed citations

13.

Redd, Andrew D., Djénéba Dabitao, Jay H. Bream, et al.. (2009). Microbial translocation, the innate cytokine response, and HIV-1 disease progression in Africa. Proceedings of the National Academy of Sciences. 106(16). 6718–6723. 93 indexed citations

14.

Forthal, Donald N., et al.. (2007). FcγRIIa Genotype Predicts Progression of HIV Infection. The Journal of Immunology. 179(11). 7916–7923. 109 indexed citations

15.

Yao, Zhengju, Yongzhi Cui, Wendy T. Watford, et al.. (2006). Stat5a/b are essential for normal lymphoid development and differentiation. Proceedings of the National Academy of Sciences. 103(4). 1000–1005. 285 indexed citations

16.

Rodriguez‐Galán, María Cecilia, Jay H. Bream, Andrew G. Farr, & Howard A. Young. (2005). Synergistic Effect of IL-2, IL-12, and IL-18 on Thymocyte Apoptosis and Th1/Th2 Cytokine Expression. The Journal of Immunology. 174(5). 2796–2804. 53 indexed citations

17.

Gonsky, Rivkah, Richard L. Deem, Jay H. Bream, Howard A. Young, & Stephan R. Targan. (2004). Enhancer Role of STAT5 in CD2 Activation of IFN-γ Gene Expression. The Journal of Immunology. 173(10). 6241–6247. 24 indexed citations

18.

Chevillard, Christophe, Jay H. Bream, Bourèma Kouriba, et al.. (2003). IFN-γ Polymorphisms (IFN-γ +2109 and IFN-γ +3810) Are Associated with Severe Hepatic Fibrosis in Human Hepatic Schistosomiasis ( Schistosoma mansoni ). The Journal of Immunology. 171(10). 5596–5601. 68 indexed citations

19.

El‐Omar, Emad, Mary Carrington, Wong‐Ho Chow, et al.. (2001). Correction: The role of interleukin-1 polymorphisms in the pathogenesis of gastric cancer. Nature. 412(6842). 99–99. 190 indexed citations

20.

Gonsky, Rivkah, Richard L. Deem, Jay H. Bream, et al.. (2000). Mucosa-Specific Targets for Regulation of IFN-γ Expression: Lamina Propria T Cells Use Different cis- Elements than Peripheral Blood T Cells to Regulate Transactivation of IFN-γ Expression. The Journal of Immunology. 164(3). 1399–1407. 22 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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