Jason S. Ellis

1.1k total citations
31 papers, 886 citations indexed

About

Jason S. Ellis is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Jason S. Ellis has authored 31 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Immunology, 8 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Jason S. Ellis's work include T-cell and B-cell Immunology (19 papers), Immune Cell Function and Interaction (17 papers) and Immunotherapy and Immune Responses (12 papers). Jason S. Ellis is often cited by papers focused on T-cell and B-cell Immunology (19 papers), Immune Cell Function and Interaction (17 papers) and Immunotherapy and Immune Responses (12 papers). Jason S. Ellis collaborates with scholars based in United States, France and Cuba. Jason S. Ellis's co-authors include Habib Zaghouani, Renu Jain, J. Jeremiah Bell, Helen Braley‐Mullen, Randal K. Gregg, Rohit Divekar, Christine M. Hoeman, Danielle Tartar, Hyun-Hee Lee and Ping Yu and has published in prestigious journals such as The Journal of Experimental Medicine, Immunity and The Journal of Immunology.

In The Last Decade

Jason S. Ellis

30 papers receiving 877 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason S. Ellis United States 14 633 181 112 108 97 31 886
Ren Zhu France 9 668 1.1× 173 1.0× 81 0.7× 80 0.7× 92 0.9× 15 853
Yasushi Kobayashi Japan 12 675 1.1× 89 0.5× 90 0.8× 195 1.8× 124 1.3× 13 1.0k
Michael Judo United States 7 396 0.6× 125 0.7× 86 0.8× 191 1.8× 72 0.7× 7 688
Bi-Huei Yang United States 8 459 0.7× 120 0.7× 89 0.8× 201 1.9× 97 1.0× 13 730
Enayat Nikoopour Canada 15 341 0.5× 193 1.1× 81 0.7× 130 1.2× 40 0.4× 22 659
Thomas Packard United States 12 262 0.4× 124 0.7× 78 0.7× 164 1.5× 87 0.9× 18 643
Christiane Gläser Germany 17 248 0.4× 103 0.6× 117 1.0× 175 1.6× 48 0.5× 40 831
Wahiba Chaara France 13 630 1.0× 123 0.7× 128 1.1× 158 1.5× 106 1.1× 15 1.0k
Nicole Schaaf‐Lafontaine Belgium 13 434 0.7× 83 0.5× 174 1.6× 113 1.0× 112 1.2× 35 846
Shinji Sunaga Japan 12 493 0.8× 69 0.4× 76 0.7× 176 1.6× 154 1.6× 16 901

Countries citing papers authored by Jason S. Ellis

Since Specialization
Citations

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

Fields of papers citing papers by Jason S. Ellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason S. Ellis. 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 Jason S. Ellis. The network helps show where Jason S. Ellis may publish in the future.

Co-authorship network of co-authors of Jason S. Ellis

This figure shows the co-authorship network connecting the top 25 collaborators of Jason S. Ellis. A scholar is included among the top collaborators of Jason S. Ellis 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 Jason S. Ellis. Jason S. Ellis 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.
Fattahi, Fatemeh, et al.. (2025). HuR ablation destabilizes Foxp3 mRNA and impairs regulatory T cell function, contributing to an autoimmune phenotype. Frontiers in Immunology. 16. 1618677–1618677.
2.
Fattahi, Fatemeh, et al.. (2021). HuR-Targeted Inhibition Impairs Th2 Proinflammatory Responses in Asthmatic CD4+ T Cells. The Journal of Immunology. 208(1). 38–48. 5 indexed citations
3.
Wolf, Sonya, Jason S. Ellis, Jianhua Liu, et al.. (2019). Ultraviolet light induces increased T cell activation in lupus-prone mice via type I IFN-dependent inhibition of T regulatory cells. Journal of Autoimmunity. 103. 102291–102291. 42 indexed citations
4.
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Glascock, Jacqueline, et al.. (2016). The RNA binding protein HuR is necessary for IL-2 homeostasis and CD4+ T cell differentiation. The Journal of Immunology. 196(1_Supplement). 127.7–127.7. 1 indexed citations
7.
Ellis, Jason S., Xiaoxiao Wan, & Helen Braley‐Mullen. (2013). Transient depletion of CD4+ CD25+ regulatory T cells results in multiple autoimmune diseases in wild‐type and B‐cell‐deficient NOD mice. Immunology. 139(2). 179–186. 38 indexed citations
8.
Tartar, Danielle, Xiaoxiao Wan, Renu Jain, et al.. (2010). FoxP3+RORγt+ T Helper Intermediates Display Suppressive Function against Autoimmune Diabetes. The Journal of Immunology. 184(7). 3377–3385. 72 indexed citations
9.
Ellis, Jason S., Danielle Tartar, Christine M. Hoeman, et al.. (2010). APCs Expressing High Levels of Programmed Death Ligand 2 Sustain the Development of CD4 T Cell Memory. The Journal of Immunology. 185(6). 3149–3157. 7 indexed citations
10.
Fang, Yujiang, et al.. (2010). Comparison of sensitivity of Th1, Th2, and Th17 cells to Fas-mediated apoptosis. Journal of Leukocyte Biology. 87(6). 1019–1028. 47 indexed citations
11.
Jain, Renu, Danielle Tartar, Randal K. Gregg, et al.. (2008). Innocuous IFNγ induced by adjuvant-free antigen restores normoglycemia in NOD mice through inhibition of IL-17 production. The Journal of Experimental Medicine. 205(1). 207–218. 159 indexed citations
12.
Yu, Ping, Cara Haymaker, Rohit Divekar, et al.. (2008). Fetal Exposure to High-Avidity TCR Ligand Enhances Expansion of Peripheral T Regulatory Cells. The Journal of Immunology. 181(1). 73–80. 14 indexed citations
13.
Lee, Hyun-Hee, Christine M. Hoeman, John C. Hardaway, et al.. (2008). Delayed maturation of an IL-12–producing dendritic cell subset explains the early Th2 bias in neonatal immunity. The Journal of Experimental Medicine. 205(10). 2269–2280. 116 indexed citations
14.
Haymaker, Cara, Ping Yu, Jason S. Ellis, et al.. (2007). Treg Development and Suppression of Experimental Allergic Encephalomyelitis (129.28). The Journal of Immunology. 178(1_Supplement). S223–S223. 1 indexed citations
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Yu, Ping, Randal K. Gregg, J. Jeremiah Bell, et al.. (2005). Specific T Regulatory Cells Display Broad Suppressive Functions against Experimental Allergic Encephalomyelitis upon Activation with Cognate Antigen. The Journal of Immunology. 174(11). 6772–6780. 104 indexed citations
17.
Li, Lequn, Hyun‐Hee Lee, J. Jeremiah Bell, et al.. (2004). IL-4 Utilizes an Alternative Receptor to Drive Apoptosis of Th1 Cells and Skews Neonatal Immunity toward Th2. Immunity. 20(4). 429–440. 115 indexed citations
18.
Hausler, K D, Nicole J. Horwood, Jason S. Ellis, et al.. (2002). Secreted frizzled-related protein (sFRP-1) inhibits TNFalpha- or RANKL-dependent osteoclast formation.. Journal of Bone and Mineral Research. 17. 1 indexed citations
19.
Asare, Adam L., Jason S. Ellis, & Charles W. Caldwell. (2002). A Decision-Support System for Flow Cytometry Immunophenotyping. American Journal of Clinical Pathology. 118(4). 567–573. 41 indexed citations
20.
Hausler, K D, Nicole J. Horwood, Aykut Üren, et al.. (2001). Secreted Frizzled-related protein (sFRP-1) binds to RANKL to inhibit osteoclast formation.. Journal of Bone and Mineral Research. 16. 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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