John Le Lay
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in ⓘ
- Surgery 14
- Pancreatic function and diabetes 14
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- Metabolism, Diabetes, and Cancer 7
- FOXO transcription factor regulation 4
- RNA modifications and cancer 2
- Co-authors
- Klaus H. Kaestner (16 shared papers)Marc Montminy (3 shared papers)Susan Hedrick (2 shared papers)Bing Luan (1 shared paper)Young‐Sil Yoon (1 shared paper)Ali Naji (2 shared papers)Rexford S. Ahima (2 shared papers)Jonathan Schug (4 shared papers)
- Journals
- Diabetes (2 papers)Molecular Endocrinology (2 papers)Journal of Biological Chemistry (2 papers)Diabetologia (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
John Le Lay
22 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 88
- Endocrinology, Diabetes and Metabolism 261
- Cancer Research 214
- Surgery 579
- Molecular Biology 790
- Genetics 300
Countries citing papers authored by John Le Lay
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
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-authors
The 25 scholars most cited alongside John Le Lay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 218 | |
| 2 | 2006 | 164 | |
| 3 | 2011 | 142 | |
| 4 | 2013 | 101 | |
| 5 | 2010 | 94 | |
| 6 | 2008 | 90 | |
| 7 | 2010 | 87 | |
| 8 | 2009 | 79 | |
| 9 | 2010 | 69 | |
| 10 | 2014 | 48 | |
| 11 | 2010 | 47 | |
| 12 | 2013 | 47 | |
| 13 | 2009 | 43 | |
| 14 | 2015 | 42 | |
| 15 | 2007 | 42 | |
| 16 | 2008 | 41 | |
| 17 | 2006 | 38 | |
| 18 | 2004 | 29 | |
| 19 | 2014 | 20 | |
| 20 | 2017 | 15 |
About John Le Lay
John Le Lay is a scholar working on Surgery, Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism and Immunology, having authored 22 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (14 papers), Metabolism, Diabetes, and Cancer (7 papers), Diabetes and associated disorders (6 papers), FOXO transcription factor regulation (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), MicroRNA in disease regulation (2 papers), Diet, Metabolism, and Disease (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (261 citations), Cancer Research (214 citations), Surgery (579 citations), Molecular Biology (790 citations) and Genetics (300 citations). John Le Lay has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Klaus H. Kaestner, Marc Montminy, Susan Hedrick, Bing Luan, Young‐Sil Yoon, Ali Naji, Rexford S. Ahima, Jonathan Schug, Eva Henderson and Roland Stein. Their work appears in journals such as Diabetes, Molecular Endocrinology, Journal of Biological Chemistry, Diabetologia and Proceedings of the National Academy of Sciences.
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.