Michaël Pollak
- Endocrinology, Diabetes and Metabolism top 0.01%
- Growth Hormone and Insulin-like Growth Factors 232
- Cancer Research top 0.02%
- Cancer, Hypoxia, and Metabolism 77
- Cancer, Lipids, and Metabolism 56
- Oncology top 0.02%
- Cancer Risks and Factors 120
- Cancer-related Molecular Pathways 43
- Molecular Biology top 0.05%
- Metabolism, Diabetes, and Cancer 228
- PI3K/AKT/mTOR signaling in cancer 52
- Aging top 0.5%
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- Prostate Cancer Treatment and Research 33
- Co-authors
- Susan E. HankinsonEdward L. GiovannucciMahvash ZakikhaniNahum SonenbergEva SchernhammerHung HuynhRyan J.O. DowlingMeir J. Stampfer
- Journals
- Cancer Epidemiology Biomarkers & Prevention (45 papers)Journal of Clinical Oncology (33 papers)Cancer Research (26 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Michaël Pollak
577 papers receiving 45.5k citations
Hit Papers
Peers
Comparison fields: 5 of 209
- Endocrinology, Diabetes and Metabolism 15.3k
- Cancer Research 11.6k
- Oncology 15.9k
- Molecular Biology 26.6k
- Aging 426
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 31 | |
| 2 | 2017 | 10 | |
| 3 | 2016 | 13 | |
| 4 | 2016 | 27 | |
| 5 | 2015 | 162 | |
| 6 | 2013 | 7 | |
| 7 | 2013 | 73 | |
| 8 | 2013 | 53 | |
| 9 | 2012 | 288 | |
| 10 | 2012 | 28 | |
| 11 | 2011 | 48 | |
| 12 | 2011 | 91 | |
| 13 | 2010 | 55 | |
| 14 | 2010 | 52 | |
| 15 | 2010 | 28 | |
| 16 | 2010 | 182 | |
| 17 | 2010 | 398 | |
| 18 | 2009 | 86 | |
| 19 | 2008 | 339 | |
| 20 | 2007 | 65 |
About Michaël Pollak
Michaël Pollak is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Oncology, having authored 599 papers that have together received 46.8k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (232 papers), Metabolism, Diabetes, and Cancer (228 papers), Cancer Risks and Factors (120 papers), Cancer, Hypoxia, and Metabolism (77 papers), Cancer, Lipids, and Metabolism (56 papers), PI3K/AKT/mTOR signaling in cancer (52 papers), Cancer-related Molecular Pathways (43 papers) and Prostate Cancer Treatment and Research (33 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (15.3k citations), Cancer Research (11.6k citations) and Oncology (15.9k citations). Michaël Pollak has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Susan E. Hankinson, Edward L. Giovannucci, Mahvash Zakikhani, Nahum Sonenberg, Eva Schernhammer, Hung Huynh, Ryan J.O. Dowling, Meir J. Stampfer, 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.