Sze‐Ling Ng

1.5k total citations · 1 hit paper
9 papers, 1.1k citations indexed

About

Sze‐Ling Ng is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Sze‐Ling Ng has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Immunology and 3 papers in Infectious Diseases. Recurrent topics in Sze‐Ling Ng's work include interferon and immune responses (5 papers), Viral Infections and Vectors (3 papers) and Inflammasome and immune disorders (3 papers). Sze‐Ling Ng is often cited by papers focused on interferon and immune responses (5 papers), Viral Infections and Vectors (3 papers) and Inflammasome and immune disorders (3 papers). Sze‐Ling Ng collaborates with scholars based in United States, Australia and Spain. Sze‐Ling Ng's co-authors include Tom Maniatis, Benjamin R. tenOever, Adolfo Garcı́a-Sastre, Sarah M. McWhirter, Mark A. Chua, Bridget S. Gosis, Daniel J. Rader, Qiurong Ding, Chad A. Cowan and Kevin Patel and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Immunology.

In The Last Decade

Sze‐Ling Ng

8 papers receiving 1.1k citations

Hit Papers

Permanent Alteration of PCSK9 With In Vivo CRISPR-Cas9 Ge... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sze‐Ling Ng United States 7 611 492 187 146 128 9 1.1k
Yi-Min Zheng China 11 496 0.8× 266 0.5× 74 0.4× 181 1.2× 230 1.8× 21 930
Yuanhua Huang Hong Kong 17 864 1.4× 167 0.3× 42 0.2× 123 0.8× 211 1.6× 58 1.2k
Victoria E. Brown United States 13 934 1.5× 55 0.1× 169 0.9× 210 1.4× 186 1.5× 14 1.3k
Volker Wiebking United States 11 830 1.4× 193 0.4× 29 0.2× 501 3.4× 17 0.1× 13 1.2k
Alessandro Natoni Ireland 18 701 1.1× 332 0.7× 114 0.6× 269 1.8× 90 0.7× 43 1.1k
Douglas J. Dorahy Australia 17 325 0.5× 173 0.4× 103 0.6× 144 1.0× 100 0.8× 21 911
Katja Fiedler Germany 12 584 1.0× 287 0.6× 75 0.4× 127 0.9× 242 1.9× 16 978
Krishna Kumar India 13 407 0.7× 437 0.9× 71 0.4× 289 2.0× 105 0.8× 28 946
Elizabeth M. Williamson United Kingdom 11 905 1.5× 723 1.5× 63 0.3× 100 0.7× 114 0.9× 13 1.8k
Shaina N. Porter United States 14 597 1.0× 181 0.4× 23 0.1× 93 0.6× 71 0.6× 21 758

Countries citing papers authored by Sze‐Ling Ng

Since Specialization
Citations

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

Fields of papers citing papers by Sze‐Ling Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sze‐Ling Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Sze‐Ling Ng. A scholar is included among the top collaborators of Sze‐Ling Ng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sze‐Ling Ng. Sze‐Ling Ng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Angel, Thomas E., Zhuo Chen, Ahmed Moghieb, et al.. (2025). Implications of tissue specific STING protein flux and abundance on inflammation and the development of targeted therapeutics. PLoS ONE. 20(2). e0319216–e0319216.
2.
Aróstegui, Juan I., Ashley P. Ng, Waruni Abeysekera, et al.. (2023). G-CSF drives autoinflammation in APLAID. Nature Immunology. 24(5). 814–826. 10 indexed citations
3.
Humphries, Fiachra, Liraz Shmuel-Galia, Zhaozhao Jiang, et al.. (2023). Targeting STING oligomerization with small-molecule inhibitors. Proceedings of the National Academy of Sciences. 120(33). e2305420120–e2305420120. 46 indexed citations
4.
Humphries, Fiachra, Liraz Shmuel-Galia, Zhaozhao Jiang, et al.. (2021). A diamidobenzimidazole STING agonist protects against SARS-CoV-2 infection. Science Immunology. 6(59). 115 indexed citations
5.
Leno‐Durán, Ester, Sze‐Ling Ng, & Jack L. Strominger. (2021). Regulation of EAE by spontaneously generated IL‐10‐secreting regulatory T cells in HLA‐DR15/TCR.Ob1A12 double transgenic mice. Immunology. 163(3). 338–343. 1 indexed citations
6.
Ding, Qiurong, Alanna Strong, Kevin Patel, et al.. (2014). Permanent Alteration of PCSK9 With In Vivo CRISPR-Cas9 Genome Editing. Circulation Research. 115(5). 488–492. 402 indexed citations breakdown →
7.
Larabi, Amédé, Juliette M. Devos, Sze‐Ling Ng, et al.. (2013). Crystal Structure and Mechanism of Activation of TANK-Binding Kinase 1. Cell Reports. 3(3). 734–746. 186 indexed citations
8.
Stewart, Scott G., et al.. (2009). New thalidomide analogues derived through Sonogashira or Suzuki reactions and their TNF expression inhibition profiles. Bioorganic & Medicinal Chemistry. 18(2). 650–662. 28 indexed citations
9.
tenOever, Benjamin R., Sze‐Ling Ng, Mark A. Chua, et al.. (2007). Multiple Functions of the IKK-Related Kinase IKKε in Interferon-Mediated Antiviral Immunity. Science. 315(5816). 1274–1278. 278 indexed citations

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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