Michael T. Lam

5.0k citations
21 papers · 3.5k · 3 hit papers · h-index 15

Impact in

Papers in

    • RNA Research and Splicing 3
    • RNA modifications and cancer 2
    • Peroxisome Proliferator-Activated Receptors 2

Michael T. Lam

19 papers receiving 3.5k citations

Michael T. Lam's Hit Papers

Interplay between Circadian Clock and Cancer: New Frontiers for Cancer Treatment 2019 · 312 citations
3120+5+10Years since publication250500750

Peers

Michael T. Lam
Comparison fields: 5 of 124
  • Endocrine and Autonomic Systems 1.0k
  • Aging 220
  • Cancer Research 774
  • Molecular Biology 1.8k
  • Physiology 671
Replace Uma M. Sachdeva with:
Uma M. Sachdeva United States
Jan Törnell Sweden
Edward O. List United States
Ray Zhang United States
Iain C. A. F. Robinson United Kingdom
N. Henriette Uhlenhaut Germany
Isao Shimokawa Japan
Coralie Fontaine France
Connie Zhao United States
Pascale Cervera France
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Citations per field
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Citations per year

Countries citing papers authored by Michael T. Lam

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Michael T. Lam Line = papers co-authored together Michael T. Lam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Regulation of circadian behaviour and metabolism by REV-ERB-α and REV-ERB-β
Hit paper breakdown →
2012831
2
Non-coding RNAs as regulators of gene expression and epigenetics
Hit paper breakdown →
2011505
3 2013434
4 2014372
5
Interplay between Circadian Clock and Cancer: New Frontiers for Cancer Treatment
Hit paper breakdown →
2019312
6 2016256
7 2005161
8 2011150
9 2008109
10 200897
11 201668
12 201766
13 201656
14 201239
15 201622
16 20199
17 20226
18 20234
19 20213
20 20250

About Michael T. Lam

Michael T. Lam is a scholar working on Molecular Biology, Immunology, Cancer Research, Cellular and Molecular Neuroscience and Infectious Diseases, 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), RNA Research and Splicing (3 papers), Circadian rhythm and melatonin (3 papers), COVID-19 Clinical Research Studies (2 papers), Cholesterol and Lipid Metabolism (2 papers), Vascular Malformations Diagnosis and Treatment (2 papers), RNA modifications and cancer (2 papers) and Peroxisome Proliferator-Activated Receptors (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, Ronald M. Evans, Han Cho, Grant D. Barish and Luciano DiTacchio. 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.

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