Michaël Shum
Impact in
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
- Physiology top 5%
- Adipose Tissue and Metabolism
Papers in
-
- Mitochondrial Function and Pathology 6
- Metabolism, Diabetes, and Cancer 5
- PI3K/AKT/mTOR signaling in cancer 3
- Physiology 12
- Adipose Tissue and Metabolism 10
- Co-authors
- Marc Liesa (13 shared papers)Orian S. Shirihai (7 shared papers)André Marette (6 shared papers)Jeremy N. Bailenson (3 shared papers)David H. Uttal (3 shared papers)Rebeca Acín‐Pérez (6 shared papers)Essam A. Assali (3 shared papers)Michaela Veliova (3 shared papers)
- Journals
- Molecular Metabolism (4 papers)Nature Communications (3 papers)Molecular Oncology (2 papers)Psychological Bulletin (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Michaël Shum
35 papers receiving 1.9k citations
Michaël Shum's Hit Papers
Peers
Comparison fields: 5 of 153
- Biochemistry 236
- Physiology 577
- Cell Biology 295
- Neuropsychology and Physiological Psychology 24
- Endocrine and Autonomic Systems 95
Countries citing papers authored by Michaël Shum
This map shows the geographic impact of Michaël Shum'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 Michaël Shum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaël Shum more than expected).
Fields of papers citing papers by Michaël Shum
This network shows the impact of papers produced by Michaël Shum. 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 Michaël Shum. The network helps show where Michaël Shum may publish in the future.
Co-authors
The 25 scholars most cited alongside Michaël Shum, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mitochondria Bound to Lipid Droplets Have Unique Bioenergetics, Composition, and Dynamics that Support Lipid Droplet Expansion Hit paper breakdown → | 2018 | 429 |
| 2 | AMPK in skeletal muscle function and metabolism Hit paper breakdown → | 2017 | 352 |
| 3 | 1998 | 189 | |
| 4 | 2014 | 80 | |
| 5 | 2020 | 76 | |
| 6 | 2000 | 75 | |
| 7 | 2020 | 66 | |
| 8 | 2023 | 64 | |
| 9 | 2020 | 60 | |
| 10 | 2012 | 52 | |
| 11 | 1998 | 49 | |
| 12 | 2011 | 49 | |
| 13 | 2009 | 46 | |
| 14 | 2021 | 43 | |
| 15 | 2016 | 43 | |
| 16 | 2019 | 37 | |
| 17 | 2020 | 33 | |
| 18 | 2013 | 31 | |
| 19 | 2017 | 30 | |
| 20 | 2013 | 20 |
About Michaël Shum
Michaël Shum is a scholar working on Molecular Biology, Physiology, Epidemiology, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 35 papers that have together received 1.9k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (10 papers), Mitochondrial Function and Pathology (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Lipid metabolism and biosynthesis (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Pancreatic function and diabetes (3 papers) and Diet, Metabolism, and Disease (3 papers). The work is most often cited by research in Biochemistry (236 citations), Physiology (577 citations), Cell Biology (295 citations), Neuropsychology and Physiological Psychology (24 citations) and Endocrine and Autonomic Systems (95 citations). Michaël Shum has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Marc Liesa, Orian S. Shirihai, André Marette, Jeremy N. Bailenson, David H. Uttal, Rebeca Acín‐Pérez, Essam A. Assali, Michaela Veliova, Anton Petcherski and Marcus F. Oliveira. Their work appears in journals such as Molecular Metabolism, Nature Communications, Molecular Oncology, Psychological Bulletin and Journal of Biological Chemistry.
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.