Jason DeFuria

2.6k total citations · 1 hit paper
18 papers, 2.1k citations indexed

About

Jason DeFuria is a scholar working on Epidemiology, Immunology and Physiology. According to data from OpenAlex, Jason DeFuria has authored 18 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 8 papers in Immunology and 7 papers in Physiology. Recurrent topics in Jason DeFuria's work include Adipokines, Inflammation, and Metabolic Diseases (11 papers), Adipose Tissue and Metabolism (6 papers) and Immune Cell Function and Interaction (5 papers). Jason DeFuria is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (11 papers), Adipose Tissue and Metabolism (6 papers) and Immune Cell Function and Interaction (5 papers). Jason DeFuria collaborates with scholars based in United States, China and Czechia. Jason DeFuria's co-authors include Martin S. Obin, Katherine J. Strissel, Andrew S. Greenberg, James W. Perfield, Hideaki Miyoshi, Zlatina S. Stancheva, Grace Bennett, Barbara S. Nikolajczyk, Min Zhu and Merav E. Shaul and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Diabetes.

In The Last Decade

Jason DeFuria

18 papers receiving 2.0k citations

Hit Papers

Adipocyte Death, Adipose Tissue Remodeling, and Obesity C... 2007 2026 2013 2019 2007 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason DeFuria United States 13 1.1k 933 557 447 226 18 2.1k
Kae Won Cho United States 27 817 0.7× 732 0.8× 520 0.9× 684 1.5× 176 0.8× 54 2.2k
Chang Ling Sia United States 20 478 0.4× 621 0.7× 342 0.6× 670 1.5× 186 0.8× 28 2.2k
Azumi Nagasawa Japan 14 958 0.8× 859 0.9× 225 0.4× 567 1.3× 431 1.9× 19 2.4k
Nicky Konstantopoulos Australia 15 927 0.8× 790 0.8× 298 0.5× 886 2.0× 219 1.0× 25 2.2k
Nanlan Luo United States 14 1.1k 0.9× 781 0.8× 254 0.5× 626 1.4× 332 1.5× 16 1.9k
Stephan Wueest Switzerland 24 927 0.8× 934 1.0× 289 0.5× 493 1.1× 242 1.1× 42 2.0k
Subramanian Ranganathan United States 12 968 0.9× 762 0.8× 311 0.6× 463 1.0× 293 1.3× 20 2.1k
Drew V. Tortoriello United States 18 477 0.4× 534 0.6× 187 0.3× 520 1.2× 154 0.7× 29 1.9k
Antoni Paul United States 25 702 0.6× 455 0.5× 480 0.9× 717 1.6× 299 1.3× 48 2.5k
Incoronata Murano Italy 14 1.9k 1.7× 2.1k 2.2× 555 1.0× 886 2.0× 687 3.0× 15 3.6k

Countries citing papers authored by Jason DeFuria

Since Specialization
Citations

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

Fields of papers citing papers by Jason DeFuria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason DeFuria

This figure shows the co-authorship network connecting the top 25 collaborators of Jason DeFuria. A scholar is included among the top collaborators of Jason DeFuria 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 DeFuria. Jason DeFuria 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.
Lewis, Erin D., Zhihong Ren, Jason DeFuria, et al.. (2018). Dietary supplementation with blueberry partially restores T-cell-mediated function in high-fat-diet-induced obese mice. British Journal Of Nutrition. 119(12). 1393–1399. 23 indexed citations
2.
Huang, Mengqi, Zhiyi Liu, Lauren Baugh, et al.. (2018). Lysyl oxidase enzymes mediate TGF-β1-induced fibrotic phenotypes in human skin-like tissues. Laboratory Investigation. 99(4). 514–527. 27 indexed citations
3.
Ip, Blanche C., Anna C. Belkina, Jason DeFuria, et al.. (2015). Th17 cytokines differentiate obesity from obesity-associated type 2 diabetes and promote TNFα production. DSpace@MIT (Massachusetts Institute of Technology). 38 indexed citations
4.
Ip, Blanche C., Nicholas A. Cilfone, Anna C. Belkina, et al.. (2015). Th17 cytokines differentiate obesity from obesity‐associated type 2 diabetes and promote TNFα production. Obesity. 24(1). 102–112. 109 indexed citations
5.
Bennett, Grace, Katherine J. Strissel, Jason DeFuria, et al.. (2014). Deletion of TNF-like weak inducer of apoptosis (TWEAK) protects mice from adipose and systemic impacts of severe obesity. Obesity. 22(6). 1485–1494. 11 indexed citations
6.
Belkina, Anna C., Jason DeFuria, Madhumita Jagannathan‐Bogdan, et al.. (2014). B cells support a dominant Th17 cytokine signature in type 2 diabetes (HEM4P.255). The Journal of Immunology. 192(Supplement_1). 117.6–117.6. 1 indexed citations
7.
Zhu, Min, Anna C. Belkina, Jason DeFuria, et al.. (2014). B cells promote obesity-associated periodontitis and oral pathogen-associated inflammation. Journal of Leukocyte Biology. 96(2). 349–357. 35 indexed citations
8.
Canaan, Allon, Jason DeFuria, Vincent Schultz, et al.. (2014). Extended lifespan and reduced adiposity in mice lacking the FAT10 gene. Proceedings of the National Academy of Sciences. 111(14). 5313–5318. 48 indexed citations
9.
DeFuria, Jason, Anna C. Belkina, Madhumita Jagannathan‐Bogdan, et al.. (2013). B cells promote inflammation in obesity and type 2 diabetes through regulation of T-cell function and an inflammatory cytokine profile. Proceedings of the National Academy of Sciences. 110(13). 5133–5138. 399 indexed citations
10.
Vieira‐Potter, Victoria J., Katherine J. Strissel, Chen Xie, et al.. (2012). Adipose Tissue Inflammation and Reduced Insulin Sensitivity in Ovariectomized Mice Occurs in the Absence of Increased Adiposity. Endocrinology. 153(9). 4266–4277. 77 indexed citations
11.
Strissel, Katherine J., Jason DeFuria, Merav E. Shaul, et al.. (2010). T‐Cell Recruitment and Th1 Polarization in Adipose Tissue During Diet‐Induced Obesity in C57BL/6 Mice. Obesity. 18(10). 1918–1925. 219 indexed citations
12.
DeFuria, Jason, Grace Bennett, Katherine J. Strissel, et al.. (2009). Dietary Blueberry Attenuates Whole-Body Insulin Resistance in High Fat-Fed Mice by Reducing Adipocyte Death and Its Inflammatory Sequelae. Journal of Nutrition. 139(8). 1510–1516. 245 indexed citations
13.
Wu, Dayong, Zhihong Ren, Jason DeFuria, Martin S. Obin, & Simin Nikbin Meydani. (2009). Effect of blueberries on the immune response of obese mice induced by high fat diet. The FASEB Journal. 23(S1). 2 indexed citations
14.
15.
Danilova, Olga V., Albert Tai, Deanna A. Mele, et al.. (2009). Neurogenin 3-Specific Dipeptidyl Peptidase-2 Deficiency Causes Impaired Glucose Tolerance, Insulin Resistance, and Visceral Obesity. Endocrinology. 150(12). 5240–5248. 14 indexed citations
16.
DeFuria, Jason & Thomas Shea. (2007). Arsenic inhibits neurofilament transport and induces perikaryal accumulation of phosphorylated neurofilaments: Roles of JNK and GSK-3β. Brain Research. 1181. 74–82. 28 indexed citations
17.
Strissel, Katherine J., Zlatina S. Stancheva, Hideaki Miyoshi, et al.. (2007). Adipocyte Death, Adipose Tissue Remodeling, and Obesity Complications. Diabetes. 56(12). 2910–2918. 773 indexed citations breakdown →

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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