Mounib Elchebly
Impact in
- Physiology top 10%
- Adipose Tissue and Metabolism
- Clinical Biochemistry top 10%
Papers in
-
- Peroxisome Proliferator-Activated Receptors 5
- Protein Tyrosine Phosphatases 5
- Metabolism, Diabetes, and Cancer 4
- Surgery 9
- Cholesterol and Lipid Metabolism 4
- Lipoproteins and Cardiovascular Health 4
- Co-authors
- Michel L. Tremblay (4 shared papers)Alan Cheng (3 shared papers)Émile Lévy (9 shared papers)Kyoko Tsukiyama–Kohara (1 shared paper)Christine T. DeMaria (1 shared paper)Francis Poulin (1 shared paper)Mary‐Ellen Harper (1 shared paper)Anne‐Claude Gingras (1 shared paper)
In The Last Decade
Mounib Elchebly
23 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 79
- Physiology 230
- Clinical Biochemistry 61
- Biochemistry 66
- Aging 16
- Molecular Biology 618
Countries citing papers authored by Mounib Elchebly
This map shows the geographic impact of Mounib Elchebly'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 Mounib Elchebly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mounib Elchebly more than expected).
Fields of papers citing papers by Mounib Elchebly
This network shows the impact of papers produced by Mounib Elchebly. 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 Mounib Elchebly. The network helps show where Mounib Elchebly may publish in the future.
Co-authors
The 25 scholars most cited alongside Mounib Elchebly, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 330 | |
| 2 | 1999 | 141 | |
| 3 | 2013 | 117 | |
| 4 | 2008 | 66 | |
| 5 | 2008 | 64 | |
| 6 | 2007 | 64 | |
| 7 | 2000 | 54 | |
| 8 | 2008 | 53 | |
| 9 | 1998 | 52 | |
| 10 | 2012 | 51 | |
| 11 | 2009 | 44 | |
| 12 | 2008 | 36 | |
| 13 | 2006 | 36 | |
| 14 | 1996 | 33 | |
| 15 | 2006 | 23 | |
| 16 | 2020 | 23 | |
| 17 | 2010 | 23 | |
| 18 | 1996 | 15 | |
| 19 | 2021 | 9 | |
| 20 | 2023 | 3 |
About Mounib Elchebly
Mounib Elchebly is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Cancer Research and Oncology, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (5 papers), Protein Tyrosine Phosphatases (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Cholesterol and Lipid Metabolism (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Lipoproteins and Cardiovascular Health (4 papers) and Galectins and Cancer Biology (3 papers). The work is most often cited by research in Physiology (230 citations), Clinical Biochemistry (61 citations), Biochemistry (66 citations), Aging (16 citations) and Molecular Biology (618 citations). Mounib Elchebly has collaborated with scholars based in Canada, France and Israel. Frequent co-authors include Michel L. Tremblay, Alan Cheng, Émile Lévy, Kyoko Tsukiyama–Kohara, Christine T. DeMaria, Francis Poulin, Mary‐Ellen Harper, Anne‐Claude Gingras, Nahum Sonenberg and Michinori Kohara. Their work appears in journals such as Journal of Lipid Research, American Journal of Physiology-Gastrointestinal and Liver Physiology, Atherosclerosis, Endocrinology and Cell Death Discovery.
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.