Colin Lam
Impact in
- Molecular Biology top 10%
- Microbial Metabolic Engineering and Bioproduction
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- Gene Regulatory Network Analysis
- Viral Infectious Diseases and Gene Expression in Insects
- Genetics top 10%
- Bacterial Genetics and Biotechnology
Papers in
-
- RNA and protein synthesis mechanisms 3
- Cancer-related gene regulation 2
- Cell death mechanisms and regulation 2
- Genetics 4
- Bacterial Genetics and Biotechnology 3
- Co-authors
- Joao C. Guimaraes (3 shared papers)Adam P. Arkin (3 shared papers)Guillaume Cambray (3 shared papers)Drew Endy (3 shared papers)Vivek K. Mutalik (3 shared papers)Jay D. Keasling (2 shared papers)Becky Kwan (1 shared paper)James M. Carothers (1 shared paper)
- Journals
- Nature Methods (2 papers)Current Cancer Drug Targets (2 papers)Molecular Carcinogenesis (1 paper)Molecular Cancer Therapeutics (1 paper)Neuropharmacology (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Colin Lam
14 papers receiving 1.1k citations
Colin Lam's Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Biology 900
- Genetics 305
- Biotechnology 59
- Pharmacology 62
- Ecology 90
Countries citing papers authored by Colin Lam
This map shows the geographic impact of Colin 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 Colin Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Colin Lam more than expected).
Fields of papers citing papers by Colin Lam
This network shows the impact of papers produced by Colin 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 Colin Lam. The network helps show where Colin Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Colin 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 | Precise and reliable gene expression via standard transcription and translation initiation elements Hit paper breakdown → | 2013 | 554 |
| 2 | 2013 | 156 | |
| 3 | 2013 | 135 | |
| 4 | 2012 | 54 | |
| 5 | 2007 | 40 | |
| 6 | 2011 | 32 | |
| 7 | 2010 | 29 | |
| 8 | 2012 | 28 | |
| 9 | 2009 | 21 | |
| 10 | 2009 | 20 | |
| 11 | 2007 | 14 | |
| 12 | 2012 | 8 | |
| 13 | 2022 | 3 | |
| 14 | 2021 | 2 |
About Colin Lam
Colin Lam is a scholar working on Molecular Biology, Genetics, Pharmacology, Cellular and Molecular Neuroscience and Biotechnology, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (3 papers), RNA and protein synthesis mechanisms (3 papers), Cancer Research and Treatments (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Cancer-related gene regulation (2 papers), Cell death mechanisms and regulation (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Molecular Biology (900 citations), Genetics (305 citations), Biotechnology (59 citations), Pharmacology (62 citations) and Ecology (90 citations). Colin Lam has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Joao C. Guimaraes, Adam P. Arkin, Guillaume Cambray, Drew Endy, Vivek K. Mutalik, Jay D. Keasling, Becky Kwan, James M. Carothers, Lance Martin and Gaymon Bennett. Their work appears in journals such as Nature Methods, Current Cancer Drug Targets, Molecular Carcinogenesis, Molecular Cancer Therapeutics and Neuropharmacology.
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.