Ebru Erbay

4.2k total citations · 2 hit papers
27 papers, 2.8k citations indexed

About

Ebru Erbay is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Ebru Erbay has authored 27 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Surgery and 7 papers in Epidemiology. Recurrent topics in Ebru Erbay's work include Endoplasmic Reticulum Stress and Disease (7 papers), Adipose Tissue and Metabolism (4 papers) and Autophagy in Disease and Therapy (4 papers). Ebru Erbay is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (7 papers), Adipose Tissue and Metabolism (4 papers) and Autophagy in Disease and Therapy (4 papers). Ebru Erbay collaborates with scholars based in United States, Türkiye and Germany. Ebru Erbay's co-authors include Gökhan S. Hotamışlıgil, Jie Chen, Emma M. Corr, Graeme J. Koelwyn, Kathryn J. Moore, Vladimir R. Babaev, Steven M. Watkins, In-Hyun Park, Sergio Fazio and Michelle M. Wiest and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Ebru Erbay

26 papers receiving 2.8k citations

Hit Papers

Nutrient sensing and inflammation in metabolic diseases 2008 2026 2014 2020 2008 2018 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
Ebru Erbay United States 19 1.4k 869 739 529 492 27 2.8k
Megan R. McMullen United States 38 1.4k 1.0× 2.1k 2.4× 894 1.2× 656 1.2× 374 0.8× 79 4.1k
Yup Kang South Korea 30 1.3k 1.0× 962 1.1× 490 0.7× 537 1.0× 392 0.8× 99 3.5k
Eek Joong Park United States 13 1.4k 1.0× 1.1k 1.2× 458 0.6× 333 0.6× 332 0.7× 13 2.9k
Shannon M. Reilly United States 20 1.3k 1.0× 1.3k 1.4× 830 1.1× 1.2k 2.2× 193 0.4× 28 3.1k
Motoyuki Kohjima Japan 29 1.2k 0.9× 1.5k 1.7× 492 0.7× 744 1.4× 308 0.6× 104 3.4k
Chandrashekhar R. Gandhi United States 35 945 0.7× 1.3k 1.5× 452 0.6× 538 1.0× 279 0.6× 93 3.5k
Sang‐Wook Kang South Korea 30 1.2k 0.8× 480 0.6× 409 0.6× 263 0.5× 603 1.2× 65 2.6k
Satoshi Ishii Japan 29 1.8k 1.3× 343 0.4× 608 0.8× 613 1.2× 430 0.9× 64 3.3k
Gen‐ichi Atsumi Japan 20 1.8k 1.3× 532 0.6× 364 0.5× 610 1.2× 200 0.4× 43 3.0k
Aiwei Yao‐Borengasser United States 23 1.2k 0.8× 1.3k 1.5× 316 0.4× 1.3k 2.5× 397 0.8× 32 3.0k

Countries citing papers authored by Ebru Erbay

Since Specialization
Citations

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

Fields of papers citing papers by Ebru Erbay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ebru Erbay

This figure shows the co-authorship network connecting the top 25 collaborators of Ebru Erbay. A scholar is included among the top collaborators of Ebru Erbay 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 Ebru Erbay. Ebru Erbay 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.
Baboo, Sabyasachi, Syed Muhammad Hamid, Özlem Tufanlı, et al.. (2022). Intercepting IRE1 kinase‐FMRP signaling prevents atherosclerosis progression. EMBO Molecular Medicine. 14(4). e15344–e15344. 26 indexed citations
2.
Hamid, Syed Muhammad, Aslı Yıldırım, Ganes C. Sen, et al.. (2022). PACT establishes a posttranscriptional brake on mitochondrial biogenesis by promoting the maturation of miR-181c. Journal of Biological Chemistry. 298(7). 102050–102050. 6 indexed citations
3.
Yıldırım, Aslı, et al.. (2022). ER Stress-Induced Sphingosine-1-Phosphate Lyase Phosphorylation Potentiates the Mitochondrial Unfolded Protein Response. Journal of Lipid Research. 63(10). 100279–100279. 7 indexed citations
4.
Yıldırım, Aslı, Syed Muhammad Hamid, Angela C. Gomez, et al.. (2022). Targeting IRE1 endoribonuclease activity alleviates cardiovascular lesions in a murine model of Kawasaki disease vasculitis. JCI Insight. 7(6). 17 indexed citations
5.
Ramani, Komal, Aaron Robinson, Wei Fan, et al.. (2021). S‐adenosylmethionine inhibits la ribonucleoprotein domain family member 1 in murine liver and human liver cancer cells. Hepatology. 75(2). 280–296. 22 indexed citations
6.
Hamid, Syed Muhammad, Erdem M. Terzi, İsmail Çimen, et al.. (2020). Inositol‐requiring enzyme‐1 regulates phosphoinositide signaling lipids and macrophage growth. EMBO Reports. 21(12). e51462–e51462. 20 indexed citations
7.
Çimen, İsmail, Aslı Yıldırım, Özlem Tufanlı, et al.. (2019). Double bond configuration of palmitoleate is critical for atheroprotection. Molecular Metabolism. 28. 58–72. 20 indexed citations
8.
Onat, Umut İnci, Aslı Yıldırım, Özlem Tufanlı, et al.. (2019). Intercepting the Lipid-Induced Integrated Stress Response Reduces Atherosclerosis. Journal of the American College of Cardiology. 73(10). 1149–1169. 64 indexed citations
9.
Tumurkhuu, Gantsetseg, Jargalsaikhan Dagvadorj, Rebecca A. Porritt, et al.. (2018). Chlamydia pneumoniae Hijacks a Host Autoregulatory IL-1β Loop to Drive Foam Cell Formation and Accelerate Atherosclerosis. Cell Metabolism. 28(3). 432–448.e4. 66 indexed citations
10.
Chen, Shuang, Kenichi Shimada, Timothy R. Crother, et al.. (2018). Chlamydia and Lipids Engage a Common Signaling Pathway That Promotes Atherogenesis. Journal of the American College of Cardiology. 71(14). 1553–1570. 21 indexed citations
11.
Koelwyn, Graeme J., Emma M. Corr, Ebru Erbay, & Kathryn J. Moore. (2018). Regulation of macrophage immunometabolism in atherosclerosis. Nature Immunology. 19(6). 526–537. 414 indexed citations breakdown →
12.
Tufanlı, Özlem, Pelin Telkoparan‐Akillilar, Diego Acosta‐Alvear, et al.. (2017). Targeting IRE1 with small molecules counteracts progression of atherosclerosis. Proceedings of the National Academy of Sciences. 114(8). E1395–E1404. 155 indexed citations
14.
Erbay, Ebru. (2015). Therapeutic treasure hunt in the myeloid secretome. Science Translational Medicine. 7(272).
15.
Babaev, Vladimir R., Robert P. Runner, Daping Fan, et al.. (2011). Macrophage Mal1 Deficiency Suppresses Atherosclerosis in Low-Density Lipoprotein Receptor–Null Mice by Activating Peroxisome Proliferator-Activated Receptor-γ–Regulated Genes. Arteriosclerosis Thrombosis and Vascular Biology. 31(6). 1283–1290. 54 indexed citations
16.
Erbay, Ebru, Vladimir R. Babaev, Jared R. Mayers, et al.. (2009). Reducing endoplasmic reticulum stress through a macrophage lipid chaperone alleviates atherosclerosis. Nature Medicine. 15(12). 1383–1391. 407 indexed citations
17.
Hotamışlıgil, Gökhan S. & Ebru Erbay. (2008). Nutrient sensing and inflammation in metabolic diseases. Nature reviews. Immunology. 8(12). 923–934. 796 indexed citations breakdown →
18.
Erbay, Ebru, Haiming Cao, & Gökhan S. Hotamışlıgil. (2007). Adipocyte/macrophage fatty acid binding proteins in metabolic syndrome. Current Atherosclerosis Reports. 9(3). 222–229. 27 indexed citations
19.
Park, In-Hyun, et al.. (2005). Skeletal myocyte hypertrophy requires mTOR kinase activity and S6K1. Experimental Cell Research. 309(1). 211–219. 64 indexed citations
20.
Erbay, Ebru, Jae Eun Kim, & Jie Chen. (2005). Amino acid-sensing mTOR signaling.. 353–380. 7 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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