David Lam
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Cell death mechanisms and regulation 9
- Melanoma and MAPK Pathways 2
- Mitochondrial Function and Pathology 1
-
- Autophagy in Disease and Therapy 8
- Co-authors
- Pierre Golstein (7 shared papers)Marie‐Françoise Luciani (4 shared papers)Artémis Kosta (4 shared papers)Samantha H. Y. Loh (3 shared papers)L. Miguel Martins (3 shared papers)Nicoleta Moisoi (2 shared papers)Inês Pimenta de Castro (2 shared papers)Emma Deas (1 shared paper)
- Journals
- Cell Death and Differentiation (2 papers)Biochemical and Biophysical Research Communications (1 paper)Oncotarget (1 paper)Molecular Biology of the Cell (1 paper)PLoS ONE (1 paper)
- Partner nations
- FranceUnited KingdomPortugal
In The Last Decade
David Lam
16 papers receiving 453 citations
Peers
Comparison fields: 5 of 78
- Aging 31
- Cell Biology 121
- Physiology 24
- Epidemiology 158
- Molecular Biology 244
Countries citing papers authored by David Lam
This map shows the geographic impact of David 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 David Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Lam more than expected).
Fields of papers citing papers by David Lam
This network shows the impact of papers produced by David 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 David Lam. The network helps show where David Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside David 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 | 2012 | 107 | |
| 2 | 2008 | 67 | |
| 3 | 2007 | 64 | |
| 4 | 2006 | 47 | |
| 5 | 2014 | 43 | |
| 6 | 2009 | 33 | |
| 7 | 2007 | 25 | |
| 8 | 2010 | 17 | |
| 9 | 2006 | 16 | |
| 10 | 2008 | 13 | |
| 11 | 2016 | 12 | |
| 12 | THE YIN-YANG SYSTEM OF ANCIENT CHINA: THE YIJING-BOOK OF CHANGES AS A PRAGMATIC METAPHOR FOR CHANGE THEORY | 1998 | 6 |
| 13 | 2013 | 4 | |
| 14 | 2008 | 4 | |
| 15 | 2005 | 2 | |
| 16 | 2025 | 1 |
About David Lam
David Lam is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Endocrinology and Pharmacology, having authored 16 papers that have together received 461 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (9 papers), Autophagy in Disease and Therapy (8 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Melanoma and MAPK Pathways (2 papers), Vibrio bacteria research studies (2 papers), Chinese history and philosophy (1 paper), Pharmacological Effects of Natural Compounds (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Aging (31 citations), Cell Biology (121 citations), Physiology (24 citations), Epidemiology (158 citations) and Molecular Biology (244 citations). David Lam has collaborated with scholars based in France, United Kingdom and Portugal. Frequent co-authors include Pierre Golstein, Marie‐Françoise Luciani, Artémis Kosta, Samantha H. Y. Loh, L. Miguel Martins, Nicoleta Moisoi, Inês Pimenta de Castro, Emma Deas, David Dinsdale and Roberta Tufi. Their work appears in journals such as Cell Death and Differentiation, Biochemical and Biophysical Research Communications, Oncotarget, Molecular Biology of the Cell and PLoS ONE.
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.