John E. Le Lay
Impact in
- Surgery top 5%
- Pancreatic function and diabetes
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
- Surgery 14
- Pancreatic function and diabetes 13
- Cholesterol and Lipid Metabolism 1
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- Metabolism, Diabetes, and Cancer 3
- Epigenetics and DNA Methylation 2
- Genomics and Chromatin Dynamics 2
- Co-authors
- Klaus H. Kaestner (19 shared papers)Marc Montminy (4 shared papers)Susan A. Hedrick (2 shared papers)Young‐Sil Yoon (1 shared paper)Bing Luan (1 shared paper)Rexford S. Ahima (2 shared papers)Roland W. Stein (2 shared papers)Eva Henderson (2 shared papers)
- Journals
- Diabetes (3 papers)Journal of Clinical Investigation (2 papers)Molecular Endocrinology (2 papers)Diabetologia (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesGermanySpain
In The Last Decade
John E. Le Lay
27 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 91
- Surgery 473
- Cancer Research 133
- Molecular Biology 546
- Hepatology 70
- Epidemiology 193
Countries citing papers authored by John E. Le Lay
This map shows the geographic impact of John E. 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 E. 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 E. Le Lay more than expected).
Fields of papers citing papers by John E. Le Lay
This network shows the impact of papers produced by John E. 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 E. Le Lay. The network helps show where John E. Le Lay may publish in the future.
Co-authors
The 25 scholars most cited alongside John E. 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 238 | |
| 2 | 2006 | 170 | |
| 3 | 2011 | 151 | |
| 4 | 2015 | 113 | |
| 5 | 2013 | 110 | |
| 6 | 2010 | 96 | |
| 7 | 2008 | 95 | |
| 8 | 2009 | 80 | |
| 9 | 2010 | 74 | |
| 10 | 2015 | 67 | |
| 11 | 2014 | 52 | |
| 12 | 2010 | 49 | |
| 13 | 2008 | 47 | |
| 14 | 2013 | 47 | |
| 15 | 2015 | 46 | |
| 16 | 2009 | 45 | |
| 17 | 2013 | 43 | |
| 18 | 2007 | 42 | |
| 19 | 2015 | 40 | |
| 20 | 2006 | 38 |
About John E. Le Lay
John E. Le Lay is a scholar working on Surgery, Molecular Biology, Hepatology, Cancer Research and Developmental Neuroscience, having authored 27 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (13 papers), Metabolism, Diabetes, and Cancer (3 papers), Epigenetics and DNA Methylation (2 papers), Liver physiology and pathology (2 papers), Genomics and Chromatin Dynamics (2 papers), MicroRNA in disease regulation (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Cholesterol and Lipid Metabolism (1 paper). The work is most often cited by research in Surgery (473 citations), Cancer Research (133 citations), Molecular Biology (546 citations), Hepatology (70 citations) and Epidemiology (193 citations). John E. Le Lay has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Klaus H. Kaestner, Marc Montminy, Susan A. Hedrick, Young‐Sil Yoon, Bing Luan, Rexford S. Ahima, Roland W. Stein, Eva Henderson, Elena G. Ruano and Joshua R. Friedman. Their work appears in journals such as Diabetes, Journal of Clinical Investigation, Molecular Endocrinology, 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.