Gregory J. Tesz

2.4k total citations · 1 hit paper
17 papers, 1.6k citations indexed

About

Gregory J. Tesz is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Gregory J. Tesz has authored 17 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Surgery and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Gregory J. Tesz's work include Pancreatic function and diabetes (7 papers), Diet, Metabolism, and Disease (5 papers) and Metabolism, Diabetes, and Cancer (4 papers). Gregory J. Tesz is often cited by papers focused on Pancreatic function and diabetes (7 papers), Diet, Metabolism, and Disease (5 papers) and Metabolism, Diabetes, and Cancer (4 papers). Gregory J. Tesz collaborates with scholars based in United States, Netherlands and Sweden. Gregory J. Tesz's co-authors include Michael Czech, Myriam Aouadi, Sarah M. Nicoloro, Ernesto R. Soto, Gary R. Ostroff, Mengxi Wang, My Chouinard, Joshua D. Rabinowitz, Wenyun Lu and Morris J. Birnbaum and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Gregory J. Tesz

17 papers receiving 1.5k citations

Hit Papers

The Small Intestine Converts Dietary Fructose into Glucos... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory J. Tesz United States 13 782 399 385 345 207 17 1.6k
My Chouinard United States 12 1.3k 1.6× 142 0.4× 584 1.5× 1.1k 3.2× 254 1.2× 13 2.3k
Isabelle Chantret France 24 1.2k 1.6× 145 0.4× 137 0.4× 176 0.5× 251 1.2× 41 2.1k
Yukiko Tone United Kingdom 21 706 0.9× 177 0.4× 131 0.3× 277 0.8× 126 0.6× 29 2.8k
Tingting Xie China 21 529 0.7× 110 0.3× 135 0.4× 107 0.3× 80 0.4× 60 1.5k
Vasily M. Gelfanov United States 19 866 1.1× 665 1.7× 97 0.3× 210 0.6× 347 1.7× 49 1.7k
Yoshimi Miki Japan 22 888 1.1× 78 0.2× 117 0.3× 219 0.6× 157 0.8× 41 1.8k
A. Abbruzzese Italy 26 959 1.2× 202 0.5× 174 0.5× 68 0.2× 237 1.1× 53 1.9k
Hua Fan Germany 20 610 0.8× 171 0.4× 130 0.3× 184 0.5× 96 0.5× 46 1.8k
Sandra E. Reznik United States 21 400 0.5× 56 0.1× 239 0.6× 136 0.4× 100 0.5× 76 1.2k

Countries citing papers authored by Gregory J. Tesz

Since Specialization
Citations

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

Fields of papers citing papers by Gregory J. Tesz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory J. Tesz. 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 Gregory J. Tesz. The network helps show where Gregory J. Tesz may publish in the future.

Co-authorship network of co-authors of Gregory J. Tesz

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

All Works

17 of 17 papers shown
1.
Lindén, Daniel, Gregory J. Tesz, & Rohit Loomba. (2024). Targeting PNPLA3 to Treat MASH and MASH Related Fibrosis and Cirrhosis. Liver International. 45(4). e16186–e16186. 7 indexed citations
2.
Gart, Eveline, Wim van Duyvenvoorde, Jessica Snabel, et al.. (2023). Translational characterization of the temporal dynamics of metabolic dysfunctions in liver, adipose tissue and the gut during diet-induced NASH development in Ldlr−/−.Leiden mice. Heliyon. 9(3). e13985–e13985. 8 indexed citations
3.
Filipski, Kevin J., David J. Edmonds, Michelle R. Garnsey, et al.. (2023). Design of Next-Generation DGAT2 Inhibitor PF-07202954 with Longer Predicted Half-Life. ACS Medicinal Chemistry Letters. 14(10). 1427–1433. 1 indexed citations
4.
Zhang, Zhaoyue, Tara TeSlaa, Xincheng Xu, et al.. (2021). Serine catabolism generates liver NADPH and supports hepatic lipogenesis. Nature Metabolism. 3(12). 1608–1620. 75 indexed citations
5.
Jang, Cholsoon, Sheng Hui, Wenyun Lu, et al.. (2018). The Small Intestine Converts Dietary Fructose into Glucose and Organic Acids. Cell Metabolism. 27(2). 351–361.e3. 444 indexed citations breakdown →
6.
Czech, Michael, Myriam Aouadi, & Gregory J. Tesz. (2011). RNAi-based therapeutic strategies for metabolic disease. Nature Reviews Endocrinology. 7(8). 473–484. 81 indexed citations
7.
Tesz, Gregory J., Myriam Aouadi, Matthieu Prot, et al.. (2011). Glucan particles for selective delivery of siRNA to phagocytic cells in mice. Biochemical Journal. 436(2). 351–362. 98 indexed citations
8.
Padmanabhan, Srivatsan, Arnab Mukhopadhyay, Sri Devi Narasimhan, et al.. (2009). A PP2A Regulatory Subunit Regulates C. elegans Insulin/IGF-1 Signaling by Modulating AKT-1 Phosphorylation. Cell. 136(5). 939–951. 140 indexed citations
9.
Guilherme, Adı́lson, Gregory J. Tesz, Kalyani Guntur, & Michael Czech. (2009). Tumor Necrosis Factor-α Induces Caspase-mediated Cleavage of Peroxisome Proliferator-activated Receptor γ in Adipocytes. Journal of Biological Chemistry. 284(25). 17082–17091. 45 indexed citations
10.
Aouadi, Myriam, Gregory J. Tesz, Sarah M. Nicoloro, et al.. (2009). Orally delivered siRNA targeting macrophage Map4k4 suppresses systemic inflammation. Nature. 458(7242). 1180–1184. 461 indexed citations
11.
Tesz, Gregory J., Adı́lson Guilherme, Kalyani Guntur, et al.. (2007). Tumor Necrosis Factor α (TNFα) Stimulates Map4k4 Expression through TNFα Receptor 1 Signaling to c-Jun and Activating Transcription Factor 2. Journal of Biological Chemistry. 282(27). 19302–19312. 77 indexed citations
12.
Zawalich, Walter S., Gregory J. Tesz, Hanae Yamazaki, Kathleen C. Zawalich, & William M. Philbrick. (2005). Dexamethasone suppresses phospholipase C activation and insulin secretion from isolated rat islets. Metabolism. 55(1). 35–42. 40 indexed citations
13.
Zawalich, Walter S., Gregory J. Tesz, & Kathleen C. Zawalich. (2004). Effects of Prior 5-Hydroxytryptamine Exposure on Rat Islet Insulin Secretory and Phospholipase C Responses. Endocrine. 23(1). 11–16. 25 indexed citations
14.
Zawalich, Walter S., Kathleen C. Zawalich, Gregory J. Tesz, et al.. (2004). Effects of muscarinic receptor type 3 knockout on mouse islet secretory responses. Biochemical and Biophysical Research Communications. 315(4). 872–876. 33 indexed citations
15.
Zawalich, Walter S., Gregory J. Tesz, & Kathleen C. Zawalich. (2003). Contrasting effects of nateglinide and rosiglitazone on insulin secretion and phospholipase C activation. Metabolism. 52(11). 1393–1399. 7 indexed citations
16.
Zawalich, Walter S., Gregory J. Tesz, & Kathleen C. Zawalich. (2001). Are 5-Hydroxytryptamine-preloaded β-Cells an Appropriate Physiologic Model System for Establishing That Insulin Stimulates Insulin Secretion?. Journal of Biological Chemistry. 276(40). 37120–37123. 28 indexed citations
17.
Zawalich, Walter S., Kathleen C. Zawalich, Gregory J. Tesz, John Sterpka, & William M. Philbrick. (2001). Insulin secretion and IP levels in two distant lineages of the genusMus: comparisons with rat islets. American Journal of Physiology-Endocrinology and Metabolism. 280(5). E720–E728. 12 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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