Eugene Lam
Impact in
- Pharmacology top 10%
- Inflammatory mediators and NSAID effects
- Rehabilitation top 10%
- Wound Healing and Treatments
Papers in
-
- 14-3-3 protein interactions 3
- Ubiquitin and proteasome pathways 3
- Signaling Pathways in Disease 1
- Metabolism, Diabetes, and Cancer 1
- TGF-β signaling in diseases 1
-
- Inflammatory mediators and NSAID effects 2
- Co-authors
- Aziz Ghahary (3 shared papers)Edward E. Tredget (3 shared papers)Min Yao (1 shared paper)Colleen Kelly (2 shared papers)Jilly F. Evans (1 shared paper)Stacia Kargman (1 shared paper)Pauline Luk (1 shared paper)Elizabeth Kwong (1 shared paper)
- Journals
- Journal of Investigative Dermatology (2 papers)Current Microbiology (1 paper)Molecular and Cellular Biochemistry (1 paper)Plastic & Reconstructive Surgery (1 paper)Emerging infectious diseases (1 paper)
- Partner nations
- CanadaUnited StatesThailand
In The Last Decade
Eugene Lam
9 papers receiving 354 citations
Peers
Comparison fields: 5 of 66
- Pharmacology 138
- Rehabilitation 38
- Dermatology 43
- Cancer Research 60
- Genetics 105
Countries citing papers authored by Eugene Lam
This map shows the geographic impact of Eugene 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 Eugene Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene Lam more than expected).
Fields of papers citing papers by Eugene Lam
This network shows the impact of papers produced by Eugene 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 Eugene Lam. The network helps show where Eugene Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Eugene 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 | Inhibition of cyclooxygenase-2 by rofecoxib attenuates the growth and metastatic potential of colorectal carcinoma in mice. | 2003 | 169 |
| 2 | 2005 | 90 | |
| 3 | 2005 | 53 | |
| 4 | 2007 | 31 | |
| 5 | 2004 | 9 | |
| 6 | 2014 | 8 | |
| 7 | 2004 | 3 | |
| 8 | 2005 | 3 | |
| 9 | 2003 | 1 |
About Eugene Lam
Eugene Lam is a scholar working on Molecular Biology, Pharmacology, Epidemiology, Genetics and Infectious Diseases, having authored 9 papers that have together received 367 indexed citations. Recurring topics across this work include 14-3-3 protein interactions (3 papers), Ubiquitin and proteasome pathways (3 papers), Inflammatory mediators and NSAID effects (2 papers), Liver Disease and Transplantation (1 paper), Signaling Pathways in Disease (1 paper), Metabolism, Diabetes, and Cancer (1 paper), TGF-β signaling in diseases (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Pharmacology (138 citations), Rehabilitation (38 citations), Dermatology (43 citations), Cancer Research (60 citations) and Genetics (105 citations). Eugene Lam has collaborated with scholars based in Canada, United States and Thailand. Frequent co-authors include Aziz Ghahary, Edward E. Tredget, Min Yao, Colleen Kelly, Jilly F. Evans, Stacia Kargman, Pauline Luk, Elizabeth Kwong, M. Michael Wolfe and Yaxin Zheng. Their work appears in journals such as Journal of Investigative Dermatology, Current Microbiology, Molecular and Cellular Biochemistry, Plastic & Reconstructive Surgery and Emerging infectious diseases.
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.