Raymond Ng

1.6k citations
10 papers · 1.3k · h-index 10

Impact in

  • Hepatology top 2%
    • Liver physiology and pathology
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Liver Disease Diagnosis and Treatment 2
    • Liver physiology and pathology 2
    • Liver Disease and Transplantation 1

Raymond Ng

10 papers receiving 1.3k citations

Peers

Raymond Ng
Comparison fields: 5 of 70
  • Hepatology 343
  • Cancer Research 506
  • Epidemiology 351
  • Molecular Biology 553
  • Surgery 259
Replace John Brooling with:
John Brooling United States
Elena Kotsiliti United Kingdom
Jinghua Du China
Raquel Maeso‐Díaz Spain
André L. Simão Portugal
Amy S. Mauer United States
Adel Hammoutène France
Derrick Zhao United States
Tim Rakemann Germany
Arthur Brouillet France
Raymond Ng relative to John Brooling United States John Brooling's profile →
Citations per field
00.5×3.4×
John Brooling · 1×
Citations per year

Countries citing papers authored by Raymond Ng

Since Specialization
Citations

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

Fields of papers citing papers by Raymond Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2011326
2 2015174
3 2010174
4 2012133
5 2014133
6 201392
7 200977
8 201776
9 200754
10 201128

About Raymond Ng

Raymond Ng is a scholar working on Epidemiology, Hepatology, Cancer Research, Molecular Biology and Surgery, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Liver physiology and pathology (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Folate and B Vitamins Research (1 paper), Epigenetics and DNA Methylation (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Liver Disease and Transplantation (1 paper) and Diet, Metabolism, and Disease (1 paper). The work is most often cited by research in Hepatology (343 citations), Cancer Research (506 citations), Epidemiology (351 citations), Molecular Biology (553 citations) and Surgery (259 citations). Raymond Ng has collaborated with scholars based in United States, Singapore and Germany. Frequent co-authors include Holger Willenbring, Guisheng Song, Clifford J. Steer, Heng Wu, Garrett R. Roll, Niels Frandsen, Xin Chen, Joan P. Zape, Nina Schürmann and Bruce Wang. Their work appears in journals such as Hepatology, Journal of Lipid Research, Journal of Clinical Investigation, Gut and Proceedings of the National Academy of Sciences.

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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