Simon Lam

2.0k citations
34 papers · 576 · h-index 14

Impact in

Papers in

    • Angiogenesis and VEGF in Cancer 3
    • CRISPR and Genetic Engineering 3
    • DNA Repair Mechanisms 2
    • Mitochondrial Function and Pathology 2
    • Bioinformatics and Genomic Networks 2
    • Coronary Interventions and Diagnostics 7

Simon Lam

32 papers receiving 567 citations

Peers

Simon Lam
Comparison fields: 5 of 82
  • Health Informatics 5
  • Cardiology and Cardiovascular Medicine 66
  • Molecular Biology 221
  • Infectious Diseases 56
  • Biological Psychiatry 6
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Citations per field
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Citations per year

Countries citing papers authored by Simon Lam

Since Specialization
Citations

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

Fields of papers citing papers by Simon Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201296
2 202177
3 202074
4 202068
5 201626
6 201223
7 201021
8 202020
9 202417
10 201816
11 202114
12 202114
13 202214
14 201714
15 202513
16 202011
17 20189
18
The CEPHEUS Pan-Asian survey: high low-density lipoprotein cholesterol goal attainment rate among hypercholesterolaemic patients undergoing lipid-lowering treatment in a Hong Kong regional centre.
20129
19 20208
20 20247

About Simon Lam

Simon Lam is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Epidemiology and Neurology, having authored 34 papers that have together received 576 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (7 papers), Angiogenesis and VEGF in Cancer (3 papers), CRISPR and Genetic Engineering (3 papers), DNA Repair Mechanisms (2 papers), Blood Pressure and Hypertension Studies (2 papers), Alzheimer's disease research and treatments (2 papers), Mitochondrial Function and Pathology (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Health Informatics (5 citations), Cardiology and Cardiovascular Medicine (66 citations), Molecular Biology (221 citations), Infectious Diseases (56 citations) and Biological Psychiatry (6 citations). Simon Lam has collaborated with scholars based in United Kingdom, Hong Kong and China. Frequent co-authors include Adil Mardinoğlu, Mathias Uhlén, Hasan Türkez, Jan Borén, Muhammad Arif, Arthur Yung, Özlem Altay, Giles S.H. Yeo, Brian Lam and Graham Pullan. Their work appears in journals such as Journal of the American College of Cardiology, Circulation Cardiovascular Interventions, Briefings in Bioinformatics, Nature Communications and Biomedicines.

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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