Michaël Pollak
Impact in
- Endocrinology, Diabetes and Metabolism top 0.01%
- Growth Hormone and Insulin-like Growth Factors
- Cancer Research top 0.02%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
Papers in
-
- Metabolism, Diabetes, and Cancer 183
- PI3K/AKT/mTOR signaling in cancer 45
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- Growth Hormone and Insulin-like Growth Factors 202
- Co-authors
- Edward L. Giovannucci (40 shared papers)Susan E. Hankinson (25 shared papers)Mahvash Zakikhani (22 shared papers)Nahum Sonenberg (10 shared papers)Eva Schernhammer (9 shared papers)Hung Huynh (21 shared papers)Meir J. Stampfer (24 shared papers)Ryan J.O. Dowling (5 shared papers)
- Journals
- Cancer Epidemiology Biomarkers & Prevention (42 papers)Journal of Clinical Oncology (33 papers)Cancer Research (26 papers)Cancer Causes & Control (17 papers)JNCI Journal of the National Cancer Institute (17 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Michaël Pollak
580 papers receiving 47.3k citations
Michaël Pollak's Hit Papers
Peers
Comparison fields: 5 of 213
- Endocrinology, Diabetes and Metabolism 13.3k
- Cancer Research 9.5k
- Oncology 12.3k
- Molecular Biology 23.5k
- Aging 448
Countries citing papers authored by Michaël Pollak
This map shows the geographic impact of Michaël Pollak'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 Pollak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaël Pollak more than expected).
Fields of papers citing papers by Michaël Pollak
This network shows the impact of papers produced by Michaël Pollak. 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 Pollak. The network helps show where Michaël Pollak may publish in the future.
Co-authors
The 25 scholars most cited alongside Michaël Pollak, 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 613 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Diabetes and Cancer Hit paper breakdown → | 2010 | 1801 |
| 2 | Plasma Insulin-Like Growth Factor-I and Prostate Cancer Risk: A Prospective Study Hit paper breakdown → | 1998 | 1710 |
| 3 | Insulin and insulin-like growth factor signalling in neoplasia Hit paper breakdown → | 2008 | 1655 |
| 4 | Circulating concentrations of insulin-like growth factor I and risk of breast cancer Hit paper breakdown → | 1998 | 1546 |
| 5 | Insulin-like growth factors and neoplasia Hit paper breakdown → | 2004 | 1204 |
| 6 | Metformin: From Mechanisms of Action to Therapies Hit paper breakdown → | 2014 | 1149 |
| 7 | Prospective Study of Colorectal Cancer Risk in Men and Plasma Levels of Insulin-Like Growth Factor (IGF)-I and IGF-Binding Protein-3 Hit paper breakdown → | 1999 | 966 |
| 8 | The insulin and insulin-like growth factor receptor family in neoplasia: an update Hit paper breakdown → | 2012 | 909 |
| 9 | Metformin Is an AMP Kinase–Dependent Growth Inhibitor for Breast Cancer Cells Hit paper breakdown → | 2006 | 902 |
| 10 | Diabetes and Cancer: A Consensus Report Hit paper breakdown → | 2010 | 843 |
| 11 | Anastrozole Is Superior to Tamoxifen as First-Line Therapy for Advanced Breast Cancer in Postmenopausal Women: Results of a North American Multicenter Randomized Trial Hit paper breakdown → | 2000 | 794 |
| 12 | Metformin Inhibits Mammalian Target of Rapamycin–Dependent Translation Initiation in Breast Cancer Cells Hit paper breakdown → | 2007 | 789 |
| 13 | Insulin-Like Growth Factor-I Receptor Signaling and Resistance to Trastuzumab (Herceptin) Hit paper breakdown → | 2001 | 729 |
| 14 | mTORC1 Controls Mitochondrial Activity and Biogenesis through 4E-BP-Dependent Translational Regulation Hit paper breakdown → | 2013 | 637 |
| 15 | Effects of metformin and other biguanides on oxidative phosphorylation in mitochondria Hit paper breakdown → | 2014 | 522 |
| 16 | Metformin inhibits the senescence‐associated secretory phenotype by interfering with Hit paper breakdown → | 2013 | 517 |
| 17 | 2012 | 423 | |
| 18 | 2010 | 419 | |
| 19 | 2015 | 415 | |
| 20 | Dietary correlates of plasma insulin-like growth factor I and insulin-like growth factor binding protein 3 concentrations. | 2002 | 384 |
About Michaël Pollak
Michaël Pollak is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Oncology, Cancer Research and Genetics, having authored 613 papers that have together received 49.0k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (202 papers), Metabolism, Diabetes, and Cancer (183 papers), Cancer Risks and Factors (84 papers), Cancer, Hypoxia, and Metabolism (69 papers), PI3K/AKT/mTOR signaling in cancer (45 papers), Cancer, Lipids, and Metabolism (35 papers), Cancer-related Molecular Pathways (27 papers) and Prostate Cancer Treatment and Research (17 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (13.3k citations), Cancer Research (9.5k citations), Oncology (12.3k citations), Molecular Biology (23.5k citations) and Aging (448 citations). Michaël Pollak has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Edward L. Giovannucci, Susan E. Hankinson, Mahvash Zakikhani, Nahum Sonenberg, Eva Schernhammer, Hung Huynh, Meir J. Stampfer, Ryan J.O. Dowling, June M. Chan and Jing Ma. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, Journal of Clinical Oncology, Cancer Research, Cancer Causes & Control and JNCI Journal of the National Cancer Institute.
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.