John Le Lay

1.8k total citations
22 papers, 1.5k citations indexed

About

John Le Lay is a scholar working on Surgery, Molecular Biology and Genetics. According to data from OpenAlex, John Le Lay has authored 22 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Surgery, 14 papers in Molecular Biology and 10 papers in Genetics. Recurrent topics in John Le Lay's work include Pancreatic function and diabetes (14 papers), Metabolism, Diabetes, and Cancer (7 papers) and Diabetes and associated disorders (6 papers). John Le Lay is often cited by papers focused on Pancreatic function and diabetes (14 papers), Metabolism, Diabetes, and Cancer (7 papers) and Diabetes and associated disorders (6 papers). John Le Lay collaborates with scholars based in United States, Mali and United Kingdom. John Le Lay's co-authors include Klaus H. Kaestner, Marc Montminy, Susan Hedrick, Bing Luan, Young‐Sil Yoon, Ali Naji, Rexford S. Ahima, Jonathan Schug, Roland Stein and Eva Henderson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

John Le Lay

22 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Le Lay United States 19 790 579 300 261 219 22 1.5k
Verónica Jiménez Spain 19 646 0.8× 293 0.5× 318 1.1× 146 0.6× 150 0.7× 31 1.2k
Alba Casellas Spain 20 569 0.7× 560 1.0× 352 1.2× 360 1.4× 174 0.8× 30 1.3k
Frédéric Leprêtre France 21 690 0.9× 244 0.4× 405 1.4× 177 0.7× 473 2.2× 47 1.8k
Rie Asada Japan 22 917 1.2× 321 0.6× 192 0.6× 82 0.3× 428 2.0× 37 1.8k
Rohit B. Sharma United States 17 491 0.6× 472 0.8× 335 1.1× 198 0.8× 121 0.6× 33 1.0k
Mohammad Mahdi Motazacker Netherlands 14 549 0.7× 437 0.8× 225 0.8× 261 1.0× 68 0.3× 18 1.2k
Tomokazu Matsuda Japan 19 666 0.8× 723 1.2× 244 0.8× 347 1.3× 171 0.8× 52 1.3k
Andrew Berry United Kingdom 22 854 1.1× 751 1.3× 543 1.8× 313 1.2× 91 0.4× 29 1.7k
Tilo Moede Sweden 20 990 1.3× 1.2k 2.0× 610 2.0× 585 2.2× 177 0.8× 33 2.0k
Flora Brozzi Switzerland 16 860 1.1× 315 0.5× 210 0.7× 104 0.4× 144 0.7× 22 1.4k

Countries citing papers authored by John Le Lay

Since Specialization
Citations

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

Fields of papers citing papers by John Le Lay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Le Lay. 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 John Le Lay. The network helps show where John Le Lay may publish in the future.

Co-authorship network of co-authors of John Le Lay

This figure shows the co-authorship network connecting the top 25 collaborators of John Le Lay. A scholar is included among the top collaborators of John Le Lay 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 John Le Lay. John Le Lay 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.
Kim, Jeong‐Ho, Susan Hedrick, Wen‐Wei Tsai, et al.. (2017). CREB coactivators CRTC2 and CRTC3 modulate bone marrow hematopoiesis. Proceedings of the National Academy of Sciences. 114(44). 11739–11744. 15 indexed citations
2.
Chang, Christina C., Mathias Leblanc, David R. Grimm, et al.. (2015). The CREB/CRTC2 pathway modulates autoimmune disease by promoting Th17 differentiation. Nature Communications. 6(1). 7216–7216. 42 indexed citations
3.
Shin, Soona, John Le Lay, Logan J. Everett, et al.. (2014). CREB mediates the insulinotropic and anti-apoptotic effects of GLP-1 signaling in adult mouse β-cells. Molecular Metabolism. 3(8). 803–812. 48 indexed citations
4.
Lay, John Le, et al.. (2014). The transcription factor CREB has no non-redundant functions in hepatic glucose metabolism in mice. Diabetologia. 57(6). 1242–8. 20 indexed citations
5.
Everett, Logan J., John Le Lay, Sabina Lukovac, et al.. (2013). Integrative genomic analysis of CREB defines a critical role for transcription factor networks in mediating the fed/fasted switch in liver. BMC Genomics. 14(1). 337–337. 47 indexed citations
6.
Jiao, Yang, Sebastian Rieck, John Le Lay, & Klaus H. Kaestner. (2013). CISH has no non-redundant functions in glucose homeostasis or beta cell proliferation during pregnancy in mice. Diabetologia. 56(11). 2435–2445. 13 indexed citations
7.
Jiao, Yang, et al.. (2013). Elevated Mouse Hepatic Betatrophin Expression Does Not Increase Human β-Cell Replication in the Transplant Setting. Diabetes. 63(4). 1283–1288. 101 indexed citations
8.
Miller, Russell, Qingwei Chu, John Le Lay, et al.. (2011). Adiponectin suppresses gluconeogenic gene expression in mouse hepatocytes independent of LKB1-AMPK signaling. Journal of Clinical Investigation. 121(6). 2518–2528. 142 indexed citations
9.
Gao, Yan, Jonathan Schug, Lindsay B. McKenna, et al.. (2010). Tissue-specific regulation of mouse MicroRNA genes in endoderm-derived tissues. Nucleic Acids Research. 39(2). 454–463. 47 indexed citations
10.
Gao, Nan, John Le Lay, Wei Qin, et al.. (2010). Foxa1 and Foxa2 Maintain the Metabolic and Secretory Features of the Mature β-Cell. Molecular Endocrinology. 24(8). 1594–1604. 87 indexed citations
11.
Schug, Jonathan, John Le Lay, Alan Fox, et al.. (2010). Genome-wide analysis of histone modifications in human pancreatic islets. Genome Research. 20(4). 428–433. 94 indexed citations
12.
Lay, John Le & Klaus H. Kaestner. (2010). The Fox Genes in the Liver: From Organogenesis to Functional Integration. Physiological Reviews. 90(1). 1–22. 69 indexed citations
13.
Gao, Nan, John Le Lay, Wei Qin, et al.. (2010). Foxa1 and Foxa2 Maintain the Metabolic and Secretory Features of the Mature β-Cell. The Journal of Clinical Endocrinology & Metabolism. 95(7). 3564–3564. 1 indexed citations
14.
Golson, Maria L., John Le Lay, Nan Gao, et al.. (2009). Jagged1 is a competitive inhibitor of Notch signaling in the embryonic pancreas. Mechanisms of Development. 126(8-9). 687–699. 43 indexed citations
15.
Lay, John Le, Geetu Tuteja, Peter White, et al.. (2009). CRTC2 (TORC2) Contributes to the Transcriptional Response to Fasting in the Liver but Is Not Required for the Maintenance of Glucose Homeostasis. Cell Metabolism. 10(1). 55–62. 79 indexed citations
16.
Hand, Nicholas J., et al.. (2008). Hepatic function is preserved in the absence of mature microRNAs #. Hepatology. 49(2). 618–626. 90 indexed citations
17.
Wang, Haitao, T. Harshani Peiris, Ping Zhang, et al.. (2007). C/EBPβ Activates E2F-regulated Genes in Vivo via Recruitment of the Coactivator CREB-binding Protein/P300. Journal of Biological Chemistry. 282(34). 24679–24688. 42 indexed citations
18.
Lay, John Le & Roland Stein. (2006). Involvement of PDX-1 in activation of human insulin gene transcription. Journal of Endocrinology. 188(2). 287–294. 38 indexed citations
19.
Artner, Isabella, John Le Lay, Yan Hang, et al.. (2006). MafB. Diabetes. 55(2). 297–304. 164 indexed citations
20.
Lay, John Le, Taka‐aki Matsuoka, Eva Henderson, & Roland Stein. (2004). Identification of a Novel PDX-1 Binding Site in the Human Insulin Gene Enhancer. Journal of Biological Chemistry. 279(21). 22228–22235. 29 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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