Liora S. Katz

999 total citations
28 papers, 737 citations indexed

About

Liora S. Katz is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Liora S. Katz has authored 28 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Surgery, 12 papers in Molecular Biology and 10 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Liora S. Katz's work include Pancreatic function and diabetes (15 papers), Diabetes and associated disorders (6 papers) and Cholesterol and Lipid Metabolism (5 papers). Liora S. Katz is often cited by papers focused on Pancreatic function and diabetes (15 papers), Diabetes and associated disorders (6 papers) and Cholesterol and Lipid Metabolism (5 papers). Liora S. Katz collaborates with scholars based in United States, Israel and Switzerland. Liora S. Katz's co-authors include Donald K. Scott, Yvan Gosmain, Sharon Baumel-Alterzon, Jacques Philippé, Adolfo Garcı́a-Ocaña, Claire Cheyssac, Marvin C. Gershengorn, Mark A. Herman, Mounia Heddad Masson and Elizabeth Geras‐Raaka and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

Liora S. Katz

26 papers receiving 732 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liora S. Katz United States 17 345 331 175 171 153 28 737
Sabine Rütti Switzerland 11 329 1.0× 230 0.7× 130 0.7× 247 1.4× 165 1.1× 16 678
Kwan Yi Chu Australia 15 396 1.1× 277 0.8× 135 0.8× 227 1.3× 131 0.9× 18 797
Markus Jähnert Germany 15 154 0.4× 322 1.0× 110 0.6× 125 0.7× 226 1.5× 40 660
Balachandar Nedumaran South Korea 12 196 0.6× 406 1.2× 83 0.5× 176 1.0× 108 0.7× 19 721
Manuel Blandino-Rosano United States 16 574 1.7× 424 1.3× 220 1.3× 310 1.8× 136 0.9× 29 920
Ji-Won Kim South Korea 15 362 1.0× 197 0.6× 134 0.8× 208 1.2× 104 0.7× 34 612
Luca Meoli Germany 10 277 0.8× 229 0.7× 284 1.6× 224 1.3× 267 1.7× 10 756
Jean‐Valéry Turatsinze Belgium 11 353 1.0× 321 1.0× 221 1.3× 143 0.8× 338 2.2× 12 944
Rita P. S. Middelberg Australia 12 150 0.4× 251 0.8× 243 1.4× 167 1.0× 139 0.9× 18 797
Ebru Boslem Australia 10 342 1.0× 326 1.0× 112 0.6× 149 0.9× 121 0.8× 12 704

Countries citing papers authored by Liora S. Katz

Since Specialization
Citations

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

Fields of papers citing papers by Liora S. Katz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liora S. Katz

This figure shows the co-authorship network connecting the top 25 collaborators of Liora S. Katz. A scholar is included among the top collaborators of Liora S. Katz 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 Liora S. Katz. Liora S. Katz 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.
Katz, Liora S., Peter J. Cossar, Markus Kaiser, et al.. (2025). Molecular glues of the regulatory ChREBP/14-3-3 complex protect beta cells from glucolipotoxicity. Nature Communications. 16(1). 2110–2110. 6 indexed citations
2.
Baumel-Alterzon, Sharon, et al.. (2024). NRF2 is required for neonatal mouse beta cell growth by maintaining redox balance and promoting mitochondrial biogenesis and function. Diabetologia. 67(3). 547–560. 10 indexed citations
3.
4.
Katz, Liora S., Peng Wang, Luca Lambertini, et al.. (2023). Transcriptional activation of the Myc gene by glucose in β-cells requires a ChREBP-dependent 3-D chromatin interaction between the Myc and Pvt1 genes. Molecular Metabolism. 79. 101848–101848. 2 indexed citations
5.
Katz, Liora S., Carmen Argmann, Luca Lambertini, & Donald K. Scott. (2022). T3 and glucose increase expression of phosphoenolpyruvate carboxykinase (PCK1) leading to increased β-cell proliferation. Molecular Metabolism. 66. 101646–101646. 6 indexed citations
6.
Katz, Liora S., Sharon Baumel-Alterzon, Donald K. Scott, & Mark A. Herman. (2021). Adaptive and maladaptive roles for ChREBP in the liver and pancreatic islets. Journal of Biological Chemistry. 296. 100623–100623. 40 indexed citations
7.
Katz, Liora S., Ashley A. Smith, Jennifer C. Dunn, et al.. (2021). Pharmacological blockade of the EP3 prostaglandin E2 receptor in the setting of type 2 diabetes enhances β-cell proliferation and identity and relieves oxidative damage. Molecular Metabolism. 54. 101347–101347. 20 indexed citations
8.
Rosselot, Carolina, Sharon Baumel-Alterzon, Yansui Li, et al.. (2020). The many lives of Myc in the pancreatic β-cell. Journal of Biological Chemistry. 296. 100122–100122. 16 indexed citations
9.
Baumel-Alterzon, Sharon, et al.. (2020). Nrf2: The Master and Captain of Beta Cell Fate. Trends in Endocrinology and Metabolism. 32(1). 7–19. 73 indexed citations
10.
Katz, Liora S., et al.. (2019). HB-EGF Signaling Is Required for Glucose-Induced Pancreatic β-Cell Proliferation in Rats. Diabetes. 69(3). 369–380. 20 indexed citations
11.
12.
Zhang, Pili, Tianjiao Chu, Nikolaos Dedousis, et al.. (2017). DNA methylation alters transcriptional rates of differentially expressed genes and contributes to pathophysiology in mice fed a high fat diet. Molecular Metabolism. 6(4). 327–339. 28 indexed citations
13.
Shtraizent, Nataly, Charles DeRossi, Shikha Nayar, et al.. (2017). MPI depletion enhances O-GlcNAcylation of p53 and suppresses the Warburg effect. eLife. 6. 29 indexed citations
14.
Razzoli, Maria, Andrea Frontini, Allison Gurney, et al.. (2015). Stress-induced activation of brown adipose tissue prevents obesity in conditions of low adaptive thermogenesis. Molecular Metabolism. 5(1). 19–33. 68 indexed citations
15.
Zhang, Pili, Anil Kumar, Liora S. Katz, et al.. (2015). Induction of the ChREBPβ Isoform Is Essential for Glucose-Stimulated β-Cell Proliferation. Diabetes. 64(12). 4158–4170. 46 indexed citations
16.
Katz, Liora S., Hagit Shapira, Judith Sandbank, et al.. (2014). PAR-3 Knockdown Enhances Adhesion Rate of PANC-1 Cells via Increased Expression of Integrinαv and E-Cadherin. PLoS ONE. 9(4). e93879–e93879. 6 indexed citations
17.
Katz, Liora S., Elizabeth Geras‐Raaka, & Marvin C. Gershengorn. (2013). Reprogramming Adult Human Dermal Fibroblasts to Islet-Like Cells by Epigenetic Modification Coupled to Transcription Factor Modulation. Stem Cells and Development. 22(18). 2551–2560. 23 indexed citations
18.
Hiram‐Bab, Sahar, Liora S. Katz, Hagit Shapira, et al.. (2013). Platelet-Derived Growth Factor BB Mimics Serum-Induced Dispersal of Pancreatic Epithelial Cell Clusters. Journal of Cellular Physiology. 229(6). 743–751. 7 indexed citations
19.
20.
Gosmain, Yvan, Eric Marthinet, Claire Cheyssac, et al.. (2010). Pax6 Controls the Expression of Critical Genes Involved in Pancreatic α Cell Differentiation and Function*. Journal of Biological Chemistry. 285(43). 33381–33393. 61 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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