Bernard Lam

690 citations
14 papers · 121 · h-index 4

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
    • Viral gastroenteritis research and epidemiology

Papers in

    • Cancer Genomics and Diagnostics 8
    • Cancer-related molecular mechanisms research 2
    • Cancer, Hypoxia, and Metabolism 1
    • Pancreatic and Hepatic Oncology Research 3
    • PARP inhibition in cancer therapy 2
    • Colorectal Cancer Treatments and Studies 1

Bernard Lam

11 papers receiving 119 citations

Peers

Bernard Lam
Comparison fields: 5 of 36
  • Cancer Research 53
  • Infectious Diseases 37
  • Molecular Biology 67
  • Animal Science and Zoology 9
  • Hepatology 7
Replace Yaochang Yuan with:
Yaochang Yuan China
Jiangpeng Feng China
Elizabeth A. Maier United States
Stephen Adonai Leon‐Icaza France
Shumeng Luo Hong Kong
Marine Mommert France
Mircea Gabriel Stoleriu Germany
Kritsada Khongnomnan Thailand
Ting Cai China
Bernard Lam relative to Yaochang Yuan China Yaochang Yuan's profile →
Citations per field
00.5×1.5×
Yaochang Yuan · 1×
Citations per year

Countries citing papers authored by Bernard Lam

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201865
2 198636
3 20115
4 20225
5 20203
6 20212
7 20241
8 20231
9 20211
10 20211
11 20231
12 20220
13 20250
14 20240

About Bernard Lam

Bernard Lam is a scholar working on Cancer Research, Oncology, Molecular Biology, Pathology and Forensic Medicine and Infectious Diseases, having authored 14 papers that have together received 121 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Genetic factors in colorectal cancer (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), PARP inhibition in cancer therapy (2 papers), Cancer-related molecular mechanisms research (2 papers), Lymphoma Diagnosis and Treatment (1 paper), Colorectal Cancer Treatments and Studies (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Cancer Research (53 citations), Infectious Diseases (37 citations), Molecular Biology (67 citations), Animal Science and Zoology (9 citations) and Hepatology (7 citations). Bernard Lam has collaborated with scholars based in Canada, United States and Ireland. Frequent co-authors include John S. Tam, Yousef Haj-Ahmad, C. Y. Yeung, Winnie W. S. Kum, Mun Hon Ng, Paul Haluska, Michael E. Menefee, Jinzhou Huang, Jaye L. Viner and Yandan Yao. Their work appears in journals such as Journal of Clinical Oncology, BMC Genomics, Infection Control and Hospital Epidemiology, Journal of Clinical Microbiology and Annals of Oncology.

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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