Yves Mugabo
Impact in
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
-
- Diet, Metabolism, and Disease
Papers in
-
- Lipid metabolism and biosynthesis 4
-
- Diet, Metabolism, and Disease 3
- Co-authors
- Marc Prentki (10 shared papers)S.R. Murthy Madiraju (10 shared papers)Geneviève Renier (2 shared papers)Shangang Zhao (8 shared papers)Marie‐Line Peyot (9 shared papers)Érik Joly (7 shared papers)Ling Li (1 shared paper)Jose I. Iglesias (5 shared papers)
- Journals
- Molecular Metabolism (3 papers)Journal of Biological Chemistry (2 papers)Cell Metabolism (2 papers)JCI Insight (2 papers)Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (1 paper)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Yves Mugabo
16 papers receiving 730 citations
Peers
Comparison fields: 5 of 83
- Biochemistry 80
- Endocrinology, Diabetes and Metabolism 158
- Aging 13
- Surgery 294
- Physiology 166
Countries citing papers authored by Yves Mugabo
This map shows the geographic impact of Yves Mugabo'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 Yves Mugabo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yves Mugabo more than expected).
Fields of papers citing papers by Yves Mugabo
This network shows the impact of papers produced by Yves Mugabo. 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 Yves Mugabo. The network helps show where Yves Mugabo may publish in the future.
Co-authors
The 25 scholars most cited alongside Yves Mugabo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 146 | |
| 2 | 2016 | 107 | |
| 3 | 2010 | 90 | |
| 4 | 2014 | 87 | |
| 5 | 2016 | 70 | |
| 6 | 2017 | 49 | |
| 7 | 2015 | 44 | |
| 8 | 2020 | 33 | |
| 9 | 2010 | 32 | |
| 10 | 2018 | 24 | |
| 11 | 2022 | 20 | |
| 12 | 2018 | 17 | |
| 13 | 2022 | 12 | |
| 14 | 2022 | 11 | |
| 15 | 2013 | 1 | |
| 16 | 2024 | 1 |
About Yves Mugabo
Yves Mugabo is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology and Molecular Biology, having authored 16 papers that have together received 744 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (7 papers), Lipid metabolism and biosynthesis (4 papers), 14-3-3 protein interactions (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Adipose Tissue and Metabolism (3 papers), Diet, Metabolism, and Disease (3 papers), Ubiquitin and proteasome pathways (3 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Biochemistry (80 citations), Endocrinology, Diabetes and Metabolism (158 citations), Aging (13 citations), Surgery (294 citations) and Physiology (166 citations). Yves Mugabo has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Marc Prentki, S.R. Murthy Madiraju, Geneviève Renier, Shangang Zhao, Marie‐Line Peyot, Érik Joly, Ling Li, Jose I. Iglesias, Pegah Poursharifi and Gareth E. Lim. Their work appears in journals such as Molecular Metabolism, Journal of Biological Chemistry, Cell Metabolism, JCI Insight and Biochimica et Biophysica Acta (BBA) - Molecular Cell Research.
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.