Mario Kahn

3.8k total citations · 1 hit paper
37 papers, 2.9k citations indexed

About

Mario Kahn is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Mario Kahn has authored 37 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 16 papers in Epidemiology and 15 papers in Physiology. Recurrent topics in Mario Kahn's work include Liver Disease Diagnosis and Treatment (14 papers), Adipose Tissue and Metabolism (13 papers) and Pancreatic function and diabetes (10 papers). Mario Kahn is often cited by papers focused on Liver Disease Diagnosis and Treatment (14 papers), Adipose Tissue and Metabolism (13 papers) and Pancreatic function and diabetes (10 papers). Mario Kahn collaborates with scholars based in United States, Japan and China. Mario Kahn's co-authors include Gerald I. Shulman, Varman T. Samuel, Dongyan Zhang, Sanjay Bhanot, Sara A. Beddow, Michael J. Jurczak, Zhenxiang Liu, Blas A. Guigni, Kitt Falk Petersen and Brett P. Monia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Mario Kahn

35 papers receiving 2.9k 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.

Cellular mechanism of insulin resistance in nonalcoholic fatty liver disease

2011 450 citations Naoki Kumashiro, Derek M. Erion et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mario Kahn United States	23	1.4k	1.2k	1.1k	924	559	37	2.9k
Paul M. Titchenell United States	22	988 0.7×	1.5k 1.2×	992 0.9×	754 0.8×	558 1.0×	40	3.0k
Kimihiko Matsusue Japan	22	1.5k 1.1×	2.3k 1.8×	1.3k 1.2×	564 0.6×	614 1.1×	51	3.8k
Isabelle Hainault France	28	1.2k 0.8×	1.4k 1.1×	821 0.8×	631 0.7×	967 1.7×	45	3.1k
Anthony J. Romanelli United States	8	922 0.6×	1000 0.8×	801 0.8×	639 0.7×	473 0.8×	10	2.2k
Daniel Lindén Sweden	30	919 0.6×	1.0k 0.8×	653 0.6×	548 0.6×	477 0.9×	53	2.5k
Jonathan J. Fillmore United States	12	957 0.7×	1.4k 1.2×	1.5k 1.4×	455 0.5×	477 0.9×	14	2.8k
Edwards A. Park United States	35	587 0.4×	1.8k 1.4×	987 0.9×	570 0.6×	639 1.1×	74	3.2k
Katsumi Iizuka Japan	26	736 0.5×	1.3k 1.1×	585 0.6×	833 0.9×	1.2k 2.1×	86	2.8k
Daniel F. Vatner United States	16	868 0.6×	1.0k 0.8×	597 0.6×	822 0.9×	519 0.9×	33	2.4k
Minako Imamura Japan	20	460 0.3×	1.2k 0.9×	823 0.8×	554 0.6×	559 1.0×	41	2.8k

Countries citing papers authored by Mario Kahn

Since Specialization

Citations

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

Fields of papers citing papers by Mario Kahn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Kahn

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

LaMoia, Traci E., Brandon T. Hubbard, Mateus T. Guerra, et al.. (2024). Cytosolic calcium regulates hepatic mitochondrial oxidation, intrahepatic lipolysis, and gluconeogenesis via CAMKII activation. Cell Metabolism. 36(10). 2329–2340.e4. 11 indexed citations

Goedeke, Leigh, Jillian C. Rogers, Max C. Petersen, et al.. (2024). High-fat-diet-induced hepatic insulin resistance per se attenuates murine de novo lipogenesis. iScience. 27(11). 111175–111175. 1 indexed citations

Xu, Weiwei, Yumin Ma, Rafael Calais Gaspar, et al.. (2024). Ceramide synthesis inhibitors prevent lipid-induced insulin resistance through the DAG-PKCε-insulin receptorT1150 phosphorylation pathway. Cell Reports. 43(10). 114746–114746. 10 indexed citations

Luukkonen, Panu K., Ikki Sakuma, Rafael Calais Gaspar, et al.. (2023). Inhibition of HSD17B13 protects against liver fibrosis by inhibition of pyrimidine catabolism in nonalcoholic steatohepatitis. Proceedings of the National Academy of Sciences. 120(4). e2217543120–e2217543120. 36 indexed citations

Sakuma, Ikki, Rafael Calais Gaspar, Panu K. Luukkonen, et al.. (2023). Lysophosphatidic acid triggers inflammation in the liver and white adipose tissue in rat models of 1-acyl-sn-glycerol-3-phosphate acyltransferase 2 deficiency and overnutrition. Proceedings of the National Academy of Sciences. 120(52). e2312666120–e2312666120. 10 indexed citations

Goedeke, Leigh, Xinbo Zhang, Jonathan Sun, et al.. (2022). Abstract P3032: Liver-directed Mitochondrial Uncoupling Attenuates The Progression Of Early And Late-stage Atherosclerosis In Mice. Circulation Research. 131(Suppl_1). 1 indexed citations

Hubbard, Brandon T., Traci E. LaMoia, Leigh Goedeke, et al.. (2022). Q-Flux: A method to assess hepatic mitochondrial succinate dehydrogenase, methylmalonyl-CoA mutase, and glutaminase fluxes in vivo. Cell Metabolism. 35(1). 212–226.e4. 11 indexed citations

Gaspar, Rafael Calais, Kun Lyu, Brandon T. Hubbard, et al.. (2022). Distinct subcellular localisation of intramyocellular lipids and reduced PKCε/PKCθ activity preserve muscle insulin sensitivity in exercise-trained mice. Diabetologia. 66(3). 567–578. 14 indexed citations

Bhat, Neha, Anand Narayanan, Mohsen Fathzadeh, et al.. (2021). Dyrk1b promotes hepatic lipogenesis by bypassing canonical insulin signaling and directly activating mTORC2 in mice. Journal of Clinical Investigation. 132(3). 28 indexed citations

10.

Lyu, Kun, Dongyan Zhang, Mario Kahn, et al.. (2020). A Membrane-Bound Diacylglycerol Species Induces PKCϵ-Mediated Hepatic Insulin Resistance. Cell Metabolism. 32(4). 654–664.e5. 104 indexed citations

11.

Abulizi, Abudukadier, Daniel F. Vatner, Yongliang Wang, et al.. (2020). Membrane-bound sn-1,2-diacylglycerols explain the dissociation of hepatic insulin resistance from hepatic steatosis in MTTP knockout mice. Journal of Lipid Research. 61(12). 1565–1576. 14 indexed citations

12.

Camporez, João Paulo, Mohamed Asrih, Dongyan Zhang, et al.. (2015). Hepatic insulin resistance and increased hepatic glucose production in mice lacking Fgf21. Journal of Endocrinology. 226(3). 207–217. 40 indexed citations

13.

Lee, Hui‐Young, Arijeet K. Gattu, João Paulo Camporez, et al.. (2014). Muscle-specific activation of Ca2+/calmodulin-dependent protein kinase IV increases whole-body insulin action in mice. Diabetologia. 57(6). 1232–1241. 16 indexed citations

14.

Kumashiro, Naoki, Toru Yoshimura, Jennifer Cantley, et al.. (2012). Role of patatin-like phospholipase domain-containing 3 on lipid-induced hepatic steatosis and insulin resistance in rats. Hepatology. 57(5). 1763–1772. 75 indexed citations

15.

Alves, Tiago C., Douglas E. Befroy, Richard G. Kibbey, et al.. (2011). Regulation of hepatic fat and glucose oxidation in rats with lipid-induced hepatic insulin resistance. Hepatology. 53(4). 1175–1181. 41 indexed citations

16.

Le, Annie, Lei Zhang, Mario Kahn, et al.. (2009). MAPK phosphatase-1 facilitates the loss of oxidative myofibers associated with obesity in mice. Journal of Clinical Investigation. 119(12). 3817–3829. 60 indexed citations

17.

Erion, Derek M., Shin Yonemitsu, Yoshio Nagai, et al.. (2009). Prevention of Hepatic Steatosis and Hepatic Insulin Resistance by Knockdown of cAMP Response Element-Binding Protein. Cell Metabolism. 10(6). 499–506. 90 indexed citations

18.

Choi, Cheol Soo, Jonathan J. Fillmore, Jason K. Kim, et al.. (2007). Overexpression of uncoupling protein 3 in skeletal muscle protects against fat-induced insulin resistance. Journal of Clinical Investigation. 117(7). 1995–2003. 161 indexed citations

19.

Samuel, Varman T., Zhenxiang Liu, Amy Wang, et al.. (2007). Inhibition of protein kinase Cε prevents hepatic insulin resistance in nonalcoholic fatty liver disease. Journal of Clinical Investigation. 117(3). 739–745. 393 indexed citations

20.

Choi, Cheol Soo, David B. Savage, Ameya Kulkarni, et al.. (2007). Suppression of Diacylglycerol Acyltransferase-2 (DGAT2), but Not DGAT1, with Antisense Oligonucleotides Reverses Diet-induced Hepatic Steatosis and Insulin Resistance. Journal of Biological Chemistry. 282(31). 22678–22688. 312 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.

Explore authors with similar magnitude of impact