Michael C. Lam
Impact in
- Epidemiology top 2%
- Adipokines, Inflammation, and Metabolic Diseases
- Liver Disease Diagnosis and Treatment
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- Cardiovascular Disease and Adiposity
- Lipid metabolism and disorders
Papers in
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- Adipokines, Inflammation, and Metabolic Diseases 7
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- Lipid metabolism and disorders 1
- Cardiovascular Disease and Adiposity 1
- Co-authors
- Karen SL Lam (8 shared papers)Aimin Xu (7 shared papers)Yu Wang (6 shared papers)Ruby L.C. Hoo (5 shared papers)Kathryn Choon Beng Tan (3 shared papers)Garth J. S. Cooper (3 shared papers)Bao-Ying Chen (3 shared papers)Jialiang Zhang (3 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)Biochemical and Biophysical Research Communications (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)Atherosclerosis (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- Hong KongNew ZealandChina
In The Last Decade
Michael C. Lam
8 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 69
- Epidemiology 912
- Cardiology and Cardiovascular Medicine 215
- Endocrinology, Diabetes and Metabolism 117
- Physiology 173
- Reproductive Medicine 63
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 20 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 | 368 | |
| 2 | 2004 | 310 | |
| 3 | 2005 | 276 | |
| 4 | 2006 | 240 | |
| 5 | 2006 | 225 | |
| 6 | 2006 | 191 | |
| 7 | 2007 | 37 | |
| 8 | 2004 | 30 |
About Michael C. Lam
Michael C. Lam is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Molecular Biology, Immunology and Oncology, having authored 8 papers that have together received 1.7k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (7 papers), Cholesterol and Lipid Metabolism (1 paper), Atherosclerosis and Cardiovascular Diseases (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Lipid metabolism and disorders (1 paper), Cardiovascular Disease and Adiposity (1 paper), Peroxisome Proliferator-Activated Receptors (1 paper) and Wnt/β-catenin signaling in development and cancer (1 paper). The work is most often cited by research in Epidemiology (912 citations), Cardiology and Cardiovascular Medicine (215 citations), Endocrinology, Diabetes and Metabolism (117 citations), Physiology (173 citations) and Reproductive Medicine (63 citations). Michael C. Lam has collaborated with scholars based in Hong Kong, New Zealand and China. Frequent co-authors include Karen SL Lam, Aimin Xu, Yu Wang, Ruby L.C. Hoo, Kathryn Choon Beng Tan, Garth J. S. Cooper, Bao-Ying Chen, Jialiang Zhang, Wing-Sun Chow and Janice B. B. Lam. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, The Journal of Clinical Endocrinology & Metabolism, Atherosclerosis and Proceedings of the National Academy of Sciences.
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.