David Lam

541 citations
16 papers · 437 indexed · h-index 11

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
  • Cell Biology top 10%
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Vibrio bacteria research studies 2
    • Endoplasmic Reticulum Stress and Disease 3
    • Hippo pathway signaling and YAP/TAZ 1

David Lam

16 papers receiving 430 citations

Peers

David Lam
Comparison fields: 5 of 76
  • Aging 29
  • Cell Biology 120
  • Physiology 25
  • Epidemiology 156
  • Molecular Biology 236
Replace Yuta Homma with:
Yuta Homma Japan
Dhira Joshi United Kingdom
Christina Panaretou United Kingdom
Elisa B. Frankel United States
Evelyn Fuchs Germany
Yoshihiko Kuchitsu Japan
Derek C. Prosser United States
Sandra Tolchinsky Israel
Shigemi Sasawatari Japan
Shu Hiragi Japan
David Lam relative to Yuta Homma Japan Yuta Homma's profile →
Citations per field
00.5×4.1×
Yuta Homma · 1×
Citations per year

Countries citing papers authored by David Lam

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with David Lam Line = papers co-authored together David Lam links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201296
2 200863
3 200763
4 200645
5 201443
6 200929
7 200725
8 201017
9 200616
10 200813
11 201612
12
THE YIN-YANG SYSTEM OF ANCIENT CHINA: THE YIJING-BOOK OF CHANGES AS A PRAGMATIC METAPHOR FOR CHANGE THEORY
19985
13 20084
14 20133
15 20052
16 20251

About David Lam

David Lam is a scholar working on Endocrinology, Cell Biology, Epidemiology, Molecular Biology and Immunology and Allergy, having authored 16 papers that have together received 437 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), Hereditary Neurological Disorders (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Aging (29 citations), Cell Biology (120 citations), Physiology (25 citations), Epidemiology (156 citations) and Molecular Biology (236 citations). David Lam has collaborated with scholars based in France, United Kingdom and Canada. Frequent co-authors include Pierre Golstein, Artémis Kosta, Marie‐Françoise Luciani, Samantha H. Y. Loh, L. Miguel Martins, Nicoleta Moisoi, Inês Pimenta de Castro, Valentina Fedele, Roberta Tufi and David Dinsdale. Their work appears in journals such as Cell Death and Differentiation, Autophagy, PLoS ONE, Cell Death and Disease and Molecular Biology of the Cell.

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.

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