Aylwin Ng

18.5k citations
47 papers · 9.4k indexed · 6 hit papers · h-index 35

Aylwin Ng

46 papers receiving 9.2k citations

Hit Papers

Image-based genome-wide...385197420261991200850010001.5k2.0k

Peers

Aylwin Ng
Comparison fields: 5 of 146
  • Immunology 2.1k
  • Aging 156
  • Molecular Biology 5.2k
  • Biological Psychiatry 183
  • Epidemiology 2.4k
Replace Gerhard Liebisch with:
Gerhard Liebisch Germany
Mark W. Musch United States
Wei Li China
Kebin Liu United States
Kent D. Taylor United States
Wen Li China
Jerrold M. Ward United States
Sudha B. Biddinger United States
Vincent Magrini United States
Jerome F. Strauss United States
Aylwin Ng relative to Gerhard Liebisch Germany Gerhard Liebisch's profile →
Citations per field
00.5×1.5×2.2×
Gerhard Liebisch · 1×
Citations per year

Countries citing papers authored by Aylwin Ng

Since Specialization
Citations

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

Fields of papers citing papers by Aylwin Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201862
2 201646
3 201595
4 201457
5 2014180
6 201444
7 2014112
8 201298
9
Image-based genome-wide siRNA screen identifies selective autophagy factorsbreakdown →
2011385
10 2010182
11
Virus-Plus-Susceptibility Gene Interaction Determines Crohn's Disease Gene Atg16L1 Phenotypes in Intestinebreakdown →
2010672
12 200942
13
Regulation of inflammatory responses by gut microbiota and chemoattractant receptor GPR43breakdown →
20092484
14 2009158
15 200871
16 200828
17
Identification of a Molecular Signaling Network that Regulates a Cellular Necrotic Cell Death Pathwaybreakdown →
2008784
18 200862
19 200531
20 200329

About Aylwin Ng

Aylwin Ng is a scholar working on Immunology, Virology, Aging, Microbiology and Epidemiology, having authored 47 papers that have together received 9.4k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (9 papers), Bioinformatics and Genomic Networks (5 papers), Immune cells in cancer (5 papers), interferon and immune responses (4 papers), Epigenetics and DNA Methylation (4 papers), IL-33, ST2, and ILC Pathways (4 papers), Immune Response and Inflammation (4 papers) and Antimicrobial Peptides and Activities (3 papers). The work is most often cited by research in Immunology (2.1k citations), Aging (156 citations), Molecular Biology (5.2k citations), Biological Psychiatry (183 citations) and Epidemiology (2.4k citations). Aylwin Ng has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Ramnik J. Xavier, Jan Kranich, Fabienne Mackay, Frédéric Sierro, Di Yu, Michael S. Rolph, Charles R. Mackay, David Artis, Mauro Martins Teixeira and Angélica T. Vieira. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell Reports, Autophagy, Nature and Cell.

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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