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
-
- Endoplasmic Reticulum Stress and Disease 3
-
- Autophagy in Disease and Therapy 9
- Co-authors
- Pierre Golstein (8 shared papers)Marie‐Françoise Luciani (4 shared papers)Artémis Kosta (4 shared papers)Samantha H. Y. Loh (3 shared papers)Luis Miguel Martins (3 shared papers)Nicoleta Moisoi (2 shared papers)Inês Pimenta de Castro (2 shared papers)Valentina Fedele (1 shared paper)
- Journals
- Cell Death and Differentiation (2 papers)Biochemical and Biophysical Research Communications (1 paper)Molecular Biology of the Cell (1 paper)Cell Death and Disease (1 paper)Oncotarget (1 paper)
- Partner nations
- FranceUnited KingdomPortugal
In The Last Decade
David Lam
17 papers receiving 458 citations
Peers
Comparison fields: 5 of 78
- Aging 33
- Cell Biology 122
- Physiology 24
- Epidemiology 158
- Molecular Biology 245
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 | 108 | |
| 2 | 2008 | 67 | |
| 3 | 2007 | 64 | |
| 4 | 2006 | 47 | |
| 5 | 2014 | 45 | |
| 6 | 2009 | 34 | |
| 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 | 2008 | 4 | |
| 14 | 2013 | 4 | |
| 15 | 2005 | 2 | |
| 16 | 2025 | 1 | |
| 17 | A specific pathway inducing autophagic cell death is marked by an IP3R mutation. | 2008 | 1 |
About David Lam
David Lam is a scholar working on Cell Biology, Epidemiology, Molecular Biology, Endocrinology and Immunology and Allergy, having authored 17 papers that have together received 466 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (9 papers), Autophagy in Disease and Therapy (9 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Melanoma and MAPK Pathways (2 papers), Vibrio bacteria research studies (2 papers), CRISPR and Genetic Engineering (1 paper), RNA Interference and Gene Delivery (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Aging (33 citations), Cell Biology (122 citations), Physiology (24 citations), Epidemiology (158 citations) and Molecular Biology (245 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, Luis Miguel Martins, Nicoleta Moisoi, Inês Pimenta de Castro, Valentina Fedele, Emma Deas and Roberta Tufi. Their work appears in journals such as Cell Death and Differentiation, Biochemical and Biophysical Research Communications, Molecular Biology of the Cell, Cell Death and Disease and Oncotarget.
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.