Mark H.C. Lam

1.4k citations
12 papers · 1.3k · h-index 12

Impact in

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

Papers in

    • 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 989
  • Oncology 303
  • Cell Biology 152
  • Genetics 164
  • Virology 24
Replace Marie-Claire Gensac with:
Marie-Claire Gensac France
Teruaki Nomura Japan
Carlos M. Gorbea United States
Ravi P. Misra United States
Graciana Diez‐Roux Italy
Hanna‐Mari Pallari Finland
Marina V. Kisseleva United States
Eran Rom Israel
Senye Takahashi Japan
Normand Groulx Canada
Mark H.C. Lam relative to Marie-Claire Gensac France Marie-Claire Gensac's profile →
Citations per field
00.5×2×2.8×
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-authors

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 2000463
2 1999179
3 200292
4 199986
5 200182
6 199677
7 199977
8 200162
9 200046
10 199635
11 200131
12 200122

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 1.3k 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), Pancreatic function and diabetes (2 papers), Cancer-related Molecular Pathways (2 papers), Genomics and Chromatin Dynamics (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 (989 citations), Oncology (303 citations), Cell Biology (152 citations), Genetics (164 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, Thomas John Martin, Wei Min Hu, Lyndall J. Briggs, Jade Kenneth Forwood, Rachel J. Thomas, Bruce E. Kemp and Tony Tiganis. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, Bone, Molecular Endocrinology and Biochemical and Biophysical Research Communications.

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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