Brian Lam
Impact in
- Endocrine and Autonomic Systems top 0.5%
- Regulation of Appetite and Obesity
-
- Hormonal Regulation and Hypertension
Papers in
-
- Regulation of Appetite and Obesity 25
- Genetics 17
- Genetic Syndromes and Imprinting 9
- Genetic Associations and Epidemiology 7
- Genomics and Rare Diseases 4
- Co-authors
- Giles S.H. Yeo (42 shared papers)Fiona Mary Gribble (9 shared papers)Frank M. Reimann (8 shared papers)Marcella K.L. Ma (13 shared papers)John Moon Luk (8 shared papers)Anthony P. Coll (8 shared papers)Debra Rimmington (7 shared papers)Stephen O’Rahilly (11 shared papers)
- Journals
- Molecular Metabolism (8 papers)Cell Reports (4 papers)Cell Metabolism (4 papers)Nature Metabolism (4 papers)Diabetes (4 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Brian Lam
96 papers receiving 4.8k citations
Brian Lam's Hit Papers
Peers
Comparison fields: 5 of 125
- Endocrine and Autonomic Systems 731
- Endocrinology, Diabetes and Metabolism 401
- Cellular and Molecular Neuroscience 335
- Hepatology 174
- Molecular Biology 1.2k
Countries citing papers authored by Brian Lam
This map shows the geographic impact of Brian 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 Brian Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Lam more than expected).
Fields of papers citing papers by Brian Lam
This network shows the impact of papers produced by Brian 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 Brian Lam. The network helps show where Brian Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 306 | |
| 2 | 2009 | 202 | |
| 3 | 2016 | 177 | |
| 4 | 2010 | 174 | |
| 5 | 2022 | 171 | |
| 6 | 2012 | 164 | |
| 7 | 2006 | 162 | |
| 8 | 2016 | 156 | |
| 9 | 2003 | 135 | |
| 10 | 2017 | 135 | |
| 11 | 2017 | 122 | |
| 12 | GDF15 linked to maternal risk of nausea and vomiting during pregnancy Hit paper breakdown → | 2023 | 121 |
| 13 | 2016 | 100 | |
| 14 | 2019 | 100 | |
| 15 | 2021 | 98 | |
| 16 | 2012 | 97 | |
| 17 | 2021 | 96 | |
| 18 | 2021 | 93 | |
| 19 | 2021 | 86 | |
| 20 | 2019 | 83 |
About Brian Lam
Brian Lam is a scholar working on Endocrine and Autonomic Systems, Genetics, Molecular Biology, Hepatology and Reproductive Medicine, having authored 98 papers that have together received 4.9k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (25 papers), Genetic Syndromes and Imprinting (9 papers), Pancreatic function and diabetes (7 papers), Genetic Associations and Epidemiology (7 papers), Hypothalamic control of reproductive hormones (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Genomics and Rare Diseases (4 papers) and Atherosclerosis and Cardiovascular Diseases (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (731 citations), Endocrinology, Diabetes and Metabolism (401 citations), Cellular and Molecular Neuroscience (335 citations), Hepatology (174 citations) and Molecular Biology (1.2k citations). Brian Lam has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Giles S.H. Yeo, Fiona Mary Gribble, Frank M. Reimann, Marcella K.L. Ma, John Moon Luk, Anthony P. Coll, Debra Rimmington, Stephen O’Rahilly, Alice E. Adriaenssens and James W. Fawcett. Their work appears in journals such as Molecular Metabolism, Cell Reports, Cell Metabolism, Nature Metabolism and Diabetes.
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.