Carol Lam
Impact in
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- Regulation of Appetite and Obesity
- Physiology top 5%
- Diet and metabolism studies
- Adipose Tissue and Metabolism
Papers in
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- Regulation of Appetite and Obesity 10
- Surgery 9
- Pancreatic function and diabetes 8
- Co-authors
- Tony K.T. Lam (12 shared papers)Madhu Chari (12 shared papers)Penny Y.T. Wang (6 shared papers)Grace W.C. Cheung (5 shared papers)Andrea Kokorovic (5 shared papers)Peter E. Light (2 shared papers)Roger Gutiérrez‐Juárez (2 shared papers)Gary J. Schwartz (2 shared papers)
- Journals
- Diabetes (5 papers)Cell Metabolism (1 paper)Nature Medicine (1 paper)Frontiers in Pediatrics (1 paper)Nature (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Carol Lam
24 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 94
- Endocrine and Autonomic Systems 527
- Physiology 510
- Endocrinology, Diabetes and Metabolism 307
- Nutrition and Dietetics 197
- Surgery 426
Countries citing papers authored by Carol Lam
This map shows the geographic impact of Carol 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 Carol Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carol Lam more than expected).
Fields of papers citing papers by Carol Lam
This network shows the impact of papers produced by Carol 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 Carol Lam. The network helps show where Carol Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Carol 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
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 238 | |
| 2 | 2009 | 145 | |
| 3 | 2009 | 92 | |
| 4 | 2013 | 90 | |
| 5 | 2008 | 77 | |
| 6 | 2010 | 72 | |
| 7 | 2010 | 67 | |
| 8 | 2011 | 62 | |
| 9 | 2008 | 61 | |
| 10 | 2010 | 54 | |
| 11 | 2008 | 40 | |
| 12 | 2008 | 38 | |
| 13 | 2013 | 37 | |
| 14 | 2011 | 28 | |
| 15 | 2017 | 20 | |
| 16 | 2019 | 17 | |
| 17 | 2012 | 11 | |
| 18 | 2019 | 10 | |
| 19 | 2016 | 8 | |
| 20 | 2024 | 2 |
About Carol Lam
Carol Lam is a scholar working on Endocrine and Autonomic Systems, Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology and Physiology, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (10 papers), Pancreatic function and diabetes (8 papers), Metabolism, Diabetes, and Cancer (4 papers), Adipose Tissue and Metabolism (4 papers), Diet, Metabolism, and Disease (2 papers), Biochemical Analysis and Sensing Techniques (2 papers), Vitamin D Research Studies (2 papers) and Hormonal Regulation and Hypertension (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (527 citations), Physiology (510 citations), Endocrinology, Diabetes and Metabolism (307 citations), Nutrition and Dietetics (197 citations) and Surgery (426 citations). Carol Lam has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Tony K.T. Lam, Madhu Chari, Penny Y.T. Wang, Grace W.C. Cheung, Andrea Kokorovic, Peter E. Light, Roger Gutiérrez‐Juárez, Gary J. Schwartz, Xiaosong Li and Michelle Ang. Their work appears in journals such as Diabetes, Cell Metabolism, Nature Medicine, Frontiers in Pediatrics and Nature.
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.