Chen Seng Ng

922 citations
22 papers · 709 · h-index 15

Impact in

Papers in

    • RNA Research and Splicing 6
    • CRISPR and Genetic Engineering 4
    • RNA regulation and disease 4
    • interferon and immune responses 8

Chen Seng Ng

21 papers receiving 703 citations

Peers

Chen Seng Ng
Comparison fields: 5 of 64
  • Immunology 239
  • Infectious Diseases 152
  • Cardiology and Cardiovascular Medicine 176
  • Molecular Biology 431
  • Physiology 20
Replace Linda J. Visser with:
Linda J. Visser Netherlands
Huifang M. Zhang Canada
Miroslav P. Milev Canada
Eliot Read United Kingdom
Evangelos D. Karousis Switzerland
Javier G. Magadán United States
Julienne Jagdeo Canada
Hongwei Ma China
Warren Emmett United Kingdom
Klara Höning Germany
Chen Seng Ng relative to Linda J. Visser Netherlands Linda J. Visser's profile →
Citations per field
00.5×10×
Linda J. Visser · 1×
Citations per year

Countries citing papers authored by Chen Seng Ng

Since Specialization
Citations

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

Fields of papers citing papers by Chen Seng Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014127
2 2013123
3 201380
4 202058
5 202240
6 201935
7 202134
8 202130
9 202028
10 202026
11 202023
12 202022
13 202121
14 201916
15 201214
16 202113
17 202110
18 20253
19 20212
20 20242

About Chen Seng Ng

Chen Seng Ng is a scholar working on Molecular Biology, Immunology, Cardiology and Cardiovascular Medicine, Epidemiology and Genetics, having authored 22 papers that have together received 709 indexed citations. Recurring topics across this work include interferon and immune responses (8 papers), RNA Research and Splicing (6 papers), Viral Infections and Immunology Research (6 papers), CRISPR and Genetic Engineering (4 papers), RNA regulation and disease (4 papers), Autophagy in Disease and Therapy (4 papers), Amyotrophic Lateral Sclerosis Research (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Immunology (239 citations), Infectious Diseases (152 citations), Cardiology and Cardiovascular Medicine (176 citations), Molecular Biology (431 citations) and Physiology (20 citations). Chen Seng Ng has collaborated with scholars based in Canada, Japan and China. Frequent co-authors include Honglin Luo, Takashi Fujita, Yuan Chao Xue, Hiroki Kato, Yasir Mohamud, Ji‐Seung Yoo, Mitsutoshi Yoneyama, Koji Onomoto, Huitao Liu and Huitao Liu. Their work appears in journals such as Molecular Therapy — Oncolytics, Communications Biology, Journal of Virology, iScience and Scientific Reports.

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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