Mark H.C. Lam

1.4k citations
12 papers · 1.2k indexed · h-index 12

Impact in

    • Nuclear Structure and Function
    • RNA Research and Splicing
    • Genomics and Chromatin Dynamics
    • Bone Metabolism and Diseases
    • RNA Interference and Gene Delivery
  • Oncology top 10%
    • Bone health and treatments
    • Cancer-related Molecular Pathways

Papers in

    • Endoplasmic Reticulum Stress and Disease 2
    • Cellular transport and secretion 2
    • Bone health and treatments 4
    • Cancer-related Molecular Pathways 2

Mark H.C. Lam

12 papers receiving 1.2k citations

Peers

Mark H.C. Lam
Comparison fields: 5 of 77
  • Molecular Biology 976
  • Oncology 278
  • Cell Biology 156
  • Genetics 169
  • Virology 24
Replace Marie-Claire Gensac with:
Marie-Claire Gensac France
Normand Groulx Canada
James C. Geoghegan United States
Brian Florence United States
Nianhua Xu United States
Marion Déjosez United States
Aleth Callé France
Anna Zachariou United Kingdom
Stephen Gschmeissner United Kingdom
M A Raines United States
Mark H.C. Lam relative to Marie-Claire Gensac France Marie-Claire Gensac's profile →
Citations per field
00.5×1.5×2.5×
Marie-Claire Gensac · 1×
Citations per year

Countries citing papers authored by Mark H.C. Lam

Since Specialization
Citations

This map shows the geographic impact of Mark H.C. 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 Mark H.C. Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark H.C. Lam more than expected).

Fields of papers citing papers by Mark H.C. Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark H.C. 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 Mark H.C. Lam. The network helps show where Mark H.C. Lam may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Mark H.C. 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 Mark H.C. Lam Line = papers co-authored together Mark H.C. Lam links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 200289
2 200121
3 200130
4 200181
5 200160
6 2000451
7 200044
8 199976
9 1999166
10 199970
11 199673
12 199635

About Mark H.C. Lam

Mark H.C. Lam is a scholar working on Cell Biology, Oncology, Molecular Biology, Cancer Research and Rheumatology, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nuclear Structure and Function (8 papers), RNA Research and Splicing (5 papers), Bone health and treatments (4 papers), Genomics and Chromatin Dynamics (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Cancer-related Molecular Pathways (2 papers), Cellular transport and secretion (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Molecular Biology (976 citations), Oncology (278 citations), Cell Biology (156 citations), Genetics (169 citations) and Virology (24 citations). Mark H.C. Lam has collaborated with scholars based in Australia, France and United States. Frequent co-authors include David A. Jans, Chong-Yun Xiao, Matthew T. Gillespie, T. John Martin, Wei Hu, Lyndall J. Briggs, Jade K. Forwood, Rachel J. Thomas, Tony Tiganis and Bruce E. Kemp. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, Traffic, Immunology and Cell Biology and BioEssays.

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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