Jason Karpac

2.3k total citations · 1 hit paper
26 papers, 1.7k citations indexed

About

Jason Karpac is a scholar working on Immunology, Aging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jason Karpac has authored 26 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 13 papers in Aging and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jason Karpac's work include Invertebrate Immune Response Mechanisms (16 papers), Genetics, Aging, and Longevity in Model Organisms (13 papers) and Neurobiology and Insect Physiology Research (12 papers). Jason Karpac is often cited by papers focused on Invertebrate Immune Response Mechanisms (16 papers), Genetics, Aging, and Longevity in Model Organisms (13 papers) and Neurobiology and Insect Physiology Research (12 papers). Jason Karpac collaborates with scholars based in United States, United Kingdom and Germany. Jason Karpac's co-authors include Heinrich Jasper, Benoît Biteau, Linlin Guo, Xiao Zhao, Matthew DeGennaro, Ruth Lehmann, Dae‐Sung Hwangbo, Lifen Wang, A. Phillip West and Robert O. Watson and has published in prestigious journals such as Cell, Nature Communications and The Journal of Immunology.

In The Last Decade

Jason Karpac

26 papers receiving 1.7k citations

Hit Papers

Mitochondrial ROS promotes susceptibility to infection vi... 2022 2026 2023 2024 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Karpac United States 17 713 684 522 477 374 26 1.7k
Yasmine Driege Belgium 16 463 0.6× 471 0.7× 589 1.1× 597 1.3× 254 0.7× 28 1.6k
Parthive H. Patel United States 9 901 1.3× 966 1.4× 168 0.3× 528 1.1× 376 1.0× 11 2.0k
Ted Brummel United States 9 272 0.4× 640 0.9× 377 0.7× 573 1.2× 491 1.3× 10 1.7k
Kirst King‐Jones Canada 22 274 0.4× 879 1.3× 129 0.2× 927 1.9× 483 1.3× 43 1.9k
Kwan‐Hee You South Korea 18 330 0.5× 573 0.8× 77 0.1× 455 1.0× 178 0.5× 35 1.3k
Brian M. Zid United States 10 134 0.2× 1.2k 1.8× 976 1.9× 229 0.5× 126 0.3× 21 2.1k
David A. Wassarman United States 30 503 0.7× 3.0k 4.4× 218 0.4× 549 1.2× 120 0.3× 68 3.9k
Nathalie C. Franc United States 15 905 1.3× 416 0.6× 67 0.1× 308 0.6× 306 0.8× 19 1.3k
Aric N. Rogers United States 17 303 0.4× 1.1k 1.6× 1.1k 2.0× 106 0.2× 51 0.1× 29 2.1k
Stanislava Chtarbanova United States 12 270 0.4× 208 0.3× 119 0.2× 183 0.4× 213 0.6× 23 739

Countries citing papers authored by Jason Karpac

Since Specialization
Citations

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

Fields of papers citing papers by Jason Karpac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Karpac

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Karpac. A scholar is included among the top collaborators of Jason Karpac 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 Karpac. Jason Karpac 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.
Rajan, Akhila & Jason Karpac. (2025). Inter-organ communication in Drosophila: Lipoproteins, adipokines, and immune-metabolic coordination. Current Opinion in Cell Biology. 94. 102508–102508. 1 indexed citations
2.
Erazo‐Oliveras, Alfredo, Eunjoo Kim, Rachel Wright, et al.. (2023). Mutant APC reshapes Wnt signaling plasma membrane nanodomains by altering cholesterol levels via oncogenic β-catenin. Nature Communications. 14(1). 4342–4342. 7 indexed citations
3.
Li, Xiaotong & Jason Karpac. (2023). Adaptive physiology drives ageing plasticity in locusts. Nature Ecology & Evolution. 7(6). 798–799. 1 indexed citations
4.
Li, Xiaotong & Jason Karpac. (2023). A distinct Acyl-CoA binding protein (ACBP6) shapes tissue plasticity during nutrient adaptation in Drosophila. Nature Communications. 14(1). 7599–7599. 1 indexed citations
5.
Karpac, Jason, et al.. (2022). Integrin–ECM interactions and membrane-associated Catalase cooperate to promote resilience of the Drosophila intestinal epithelium. PLoS Biology. 20(5). e3001635–e3001635. 9 indexed citations
6.
Fuentes, Natividad R., et al.. (2021). Membrane therapy using DHA suppresses epidermal growth factor receptor signaling by disrupting nanocluster formation. Journal of Lipid Research. 62. 100026–100026. 8 indexed citations
7.
Zhao, Xiao & Jason Karpac. (2021). Glutamate metabolism directs energetic trade-offs to shape host-pathogen susceptibility in Drosophila. Cell Metabolism. 33(12). 2428–2444.e8. 21 indexed citations
8.
Zhao, Xiao, Xiaotong Li, Xiangyu Shi, & Jason Karpac. (2020). Diet‐MEF2 interactions shape lipid droplet diversification in muscle to influence Drosophila lifespan. Aging Cell. 19(7). e13172–e13172. 14 indexed citations
9.
Zhao, Xiao & Jason Karpac. (2020). The Drosophila midgut and the systemic coordination of lipid-dependent energy homeostasis. Current Opinion in Insect Science. 41. 100–105. 18 indexed citations
10.
Karpac, Jason, et al.. (2020). Dietary Adaptation of Microbiota in Drosophila Requires NF-κB-Dependent Control of the Translational Regulator 4E-BP. Cell Reports. 31(10). 107736–107736. 16 indexed citations
11.
Fuentes, Natividad R., Rola Barhoumi, Yang‐Yi Fan, et al.. (2018). Long-Chain n-3 Fatty Acids Attenuate Oncogenic KRas-Driven Proliferation by Altering Plasma Membrane Nanoscale Proteolipid Composition. Cancer Research. 78(14). 3899–3912. 27 indexed citations
12.
Khericha, Mobina, et al.. (2018). A virus-acquired host cytokine controls systemic aging by antagonizing apoptosis. PLoS Biology. 16(7). e2005796–e2005796. 8 indexed citations
13.
Zhao, Xiao & Jason Karpac. (2017). Muscle Directs Diurnal Energy Homeostasis through a Myokine-Dependent Hormone Module in Drosophila. Current Biology. 27(13). 1941–1955.e6. 65 indexed citations
14.
Luis, Nuno Miguel, Lifen Wang, Hansong Deng, et al.. (2016). Intestinal IRE1 Is Required for Increased Triglyceride Metabolism and Longer Lifespan under Dietary Restriction. Cell Reports. 17(5). 1207–1216. 51 indexed citations
15.
Guo, Linlin, et al.. (2014). PGRP-SC2 Promotes Gut Immune Homeostasis to Limit Commensal Dysbiosis and Extend Lifespan. Cell. 156(1-2). 109–122. 342 indexed citations
16.
Karpac, Jason, et al.. (2012). Notch-Mediated Suppression of TSC2 Expression Regulates Cell Differentiation in the Drosophila Intestinal Stem Cell Lineage. PLoS Genetics. 8(11). e1003045–e1003045. 79 indexed citations
17.
Biteau, Benoît, et al.. (2010). Lifespan Extension by Preserving Proliferative Homeostasis in Drosophila. PLoS Genetics. 6(10). e1001159–e1001159. 278 indexed citations
18.
Biteau, Benoît, Jason Karpac, Dae‐Sung Hwangbo, & Heinrich Jasper. (2010). Regulation of Drosophila lifespan by JNK signaling. Experimental Gerontology. 46(5). 349–354. 99 indexed citations
19.
Karpac, Jason, et al.. (2009). JNK signaling in insulin‐producing cells is required for adaptive responses to stress in Drosophila. Aging Cell. 8(3). 288–295. 60 indexed citations
20.
Karpac, Jason & Heinrich Jasper. (2009). Insulin and JNK: optimizing metabolic homeostasis and lifespan. Trends in Endocrinology and Metabolism. 20(3). 100–106. 65 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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