Michael T. Lam
Impact in
- Endocrine and Autonomic Systems top 0.5%
- Circadian rhythm and melatonin
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
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- Circadian rhythm and melatonin 3
-
- Cancer-related molecular mechanisms research 4
- Co-authors
- Christopher K. GlassMinna U. KaikkonenSatchidananda PandaMichael G. RosenfeldGabriele SulliWenbo LiHan ChoRonald M. Evans
- Journals
- Nature (2 papers)eLife (2 papers)Proceedings of the National Academy of Sciences (2 papers)Cell Metabolism (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- United StatesCanadaFinland
In The Last Decade
Michael T. Lam
19 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Endocrine and Autonomic Systems 1.0k
- Aging 220
- Cancer Research 774
- Molecular Biology 1.8k
- Physiology 671
Countries citing papers authored by Michael T. Lam
This map shows the geographic impact of Michael T. Lam'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 Michael T. Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Lam more than expected).
Fields of papers citing papers by Michael T. Lam
This network shows the impact of papers produced by Michael T. Lam. 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 Michael T. Lam. The network helps show where Michael T. Lam may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael T. Lam, 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 | 2025 | 0 | |
| 2 | 2023 | 4 | |
| 3 | 2022 | 6 | |
| 4 | 2022 | 0 | |
| 5 | 2021 | 3 | |
| 6 | Interplay between Circadian Clock and Cancer: New Frontiers for Cancer Treatment Hit paper breakdown → | 2019 | 312 |
| 7 | 2017 | 66 | |
| 8 | 2016 | 56 | |
| 9 | 2016 | 68 | |
| 10 | 2016 | 256 | |
| 11 | 2016 | 22 | |
| 12 | 2014 | 372 | |
| 13 | 2013 | 434 | |
| 14 | Regulation of circadian behaviour and metabolism by REV-ERB-α and REV-ERB-β Hit paper breakdown → | 2012 | 831 |
| 15 | 2012 | 39 | |
| 16 | Non-coding RNAs as regulators of gene expression and epigenetics Hit paper breakdown → | 2011 | 505 |
| 17 | 2011 | 150 | |
| 18 | 2008 | 97 | |
| 19 | 2008 | 109 | |
| 20 | 2005 | 161 |
About Michael T. Lam
Michael T. Lam is a scholar working on Endocrine and Autonomic Systems, Cancer Research, Immunology, Cellular and Molecular Neuroscience and Pharmacy, having authored 21 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Circadian rhythm and melatonin (3 papers), RNA Research and Splicing (3 papers), COVID-19 Clinical Research Studies (2 papers), RNA modifications and cancer (2 papers), Cholesterol and Lipid Metabolism (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.0k citations), Aging (220 citations), Cancer Research (774 citations), Molecular Biology (1.8k citations) and Physiology (671 citations). Michael T. Lam has collaborated with scholars based in United States, Canada and Finland. Frequent co-authors include Christopher K. Glass, Minna U. Kaikkonen, Satchidananda Panda, Michael G. Rosenfeld, Gabriele Sulli, Wenbo Li, Han Cho, Ronald M. Evans, Ling-Wa Chong and Christopher Liddle. Their work appears in journals such as Nature, eLife, Proceedings of the National Academy of Sciences, Cell Metabolism and Frontiers in Immunology.
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.