Brian Lam
Impact in
-
- Regulation of Appetite and Obesity
- Molecular Biology top 5%
- Advanced biosensing and bioanalysis techniques
- RNA Research and Splicing
Papers in
-
- Advanced biosensing and bioanalysis techniques 7
- Epigenetics and DNA Methylation 6
- Genetics 14
- Genetic Syndromes and Imprinting 5
- Co-authors
- Giles S.H. Yeo (40 shared papers)Shana O. Kelley (9 shared papers)Edward H. Sargent (8 shared papers)Curtis P. Berlinguette (10 shared papers)Fiona M. Gribble (7 shared papers)Frank Reimann (7 shared papers)Zhichao Fang (4 shared papers)Andrew T. Sage (3 shared papers)
- Journals
- Molecular Metabolism (7 papers)Endocrinology (3 papers)Nature Communications (3 papers)Cell Metabolism (2 papers)PROTEOMICS (2 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Brian Lam
94 papers receiving 4.6k citations
Brian Lam's Hit Papers
Peers
Comparison fields: 5 of 147
- Endocrine and Autonomic Systems 461
- Molecular Biology 2.0k
- Endocrinology, Diabetes and Metabolism 449
- Developmental Neuroscience 87
- Cancer Research 308
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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 297 | |
| 2 | 2009 | 194 | |
| 3 | 2010 | 167 | |
| 4 | 2016 | 166 | |
| 5 | 2006 | 158 | |
| 6 | 2012 | 149 | |
| 7 | 2022 | 145 | |
| 8 | 2003 | 132 | |
| 9 | 2011 | 127 | |
| 10 | 2019 | 123 | |
| 11 | 2017 | 123 | |
| 12 | 2014 | 114 | |
| 13 | 2013 | 114 | |
| 14 | 2017 | 111 | |
| 15 | 2019 | 103 | |
| 16 | 2012 | 96 | |
| 17 | 2021 | 90 | |
| 18 | 2010 | 81 | |
| 19 | 2019 | 78 | |
| 20 | 2021 | 77 |
About Brian Lam
Brian Lam is a scholar working on Molecular Biology, Genetics, Endocrine and Autonomic Systems, Biomedical Engineering and Physiology, having authored 99 papers that have together received 4.7k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (13 papers), Adipose Tissue and Metabolism (7 papers), Pancreatic function and diabetes (7 papers), Advanced biosensing and bioanalysis techniques (7 papers), Epigenetics and DNA Methylation (6 papers), Biochemical Analysis and Sensing Techniques (6 papers), Biosensors and Analytical Detection (5 papers) and Genetic Syndromes and Imprinting (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (461 citations), Molecular Biology (2.0k citations), Endocrinology, Diabetes and Metabolism (449 citations), Developmental Neuroscience (87 citations) and Cancer Research (308 citations). Brian Lam has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Giles S.H. Yeo, Shana O. Kelley, Edward H. Sargent, Curtis P. Berlinguette, Fiona M. Gribble, Frank Reimann, Zhichao Fang, Andrew T. Sage, John M. Luk and Anthony P. Coll. Their work appears in journals such as Molecular Metabolism, Endocrinology, Nature Communications, Cell Metabolism and PROTEOMICS.
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.