Michael C. Lam
Impact in
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- Regulation of Appetite and Obesity
- Epidemiology top 2%
- Adipokines, Inflammation, and Metabolic Diseases
- Liver Disease Diagnosis and Treatment
Papers in
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- Adipokines, Inflammation, and Metabolic Diseases 5
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- Lipid metabolism and disorders 4
- Cardiovascular Disease and Adiposity 1
- Co-authors
- Karen S.L. Lam (8 shared papers)Aimin Xu (7 shared papers)Yu Wang (6 shared papers)Ruby L.C. Hoo (4 shared papers)Kathryn Choon Beng Tan (3 shared papers)Garth J. S. Cooper (3 shared papers)Jialiang Zhang (3 shared papers)Baoying Chen (3 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)Proceedings of the National Academy of Sciences (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)Molecular Endocrinology (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- Hong KongChinaNew Zealand
In The Last Decade
Michael C. Lam
8 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 83
- Endocrine and Autonomic Systems 210
- Epidemiology 989
- Physiology 666
- Cardiology and Cardiovascular Medicine 539
- Endocrinology, Diabetes and Metabolism 244
Countries citing papers authored by Michael C. Lam
This map shows the geographic impact of Michael C. 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 C. 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 C. Lam more than expected).
Fields of papers citing papers by Michael C. Lam
This network shows the impact of papers produced by Michael C. 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 C. Lam. The network helps show where Michael C. Lam may publish in the future.
Co-authors
The 21 scholars most cited alongside Michael C. 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 | 2005 | 360 | |
| 2 | 2004 | 296 | |
| 3 | 2005 | 264 | |
| 4 | 2006 | 232 | |
| 5 | 2006 | 214 | |
| 6 | 2006 | 181 | |
| 7 | 2007 | 35 | |
| 8 | 2004 | 26 |
About Michael C. Lam
Michael C. Lam is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Physiology, Molecular Biology and Oncology, having authored 8 papers that have together received 1.6k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (5 papers), Lipid metabolism and disorders (4 papers), Adipose Tissue and Metabolism (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Atherosclerosis and Cardiovascular Diseases (1 paper), Cardiovascular Disease and Adiposity (1 paper), Metabolism, Diabetes, and Cancer (1 paper) and Regulation of Appetite and Obesity (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (210 citations), Epidemiology (989 citations), Physiology (666 citations), Cardiology and Cardiovascular Medicine (539 citations) and Endocrinology, Diabetes and Metabolism (244 citations). Michael C. Lam has collaborated with scholars based in Hong Kong, China and New Zealand. Frequent co-authors include Karen S.L. Lam, Aimin Xu, Yu Wang, Ruby L.C. Hoo, Kathryn Choon Beng Tan, Garth J. S. Cooper, Jialiang Zhang, Baoying Chen, Wing-Sun Chow and Janice B. B. Lam. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism, Molecular Endocrinology and Biochemical and Biophysical Research Communications.
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.