Sze‐Ling Ng
Impact in
- Immunology top 5%
- interferon and immune responses
- Immune Response and Inflammation
Papers in
-
- interferon and immune responses 6
- Immune Cell Function and Interaction 3
- T-cell and B-cell Immunology 2
-
- Inflammasome and immune disorders 3
- Ubiquitin and proteasome pathways 2
- RNA and protein synthesis mechanisms 1
- Co-authors
- Tom Maniatis (3 shared papers)Benjamin R. tenOever (2 shared papers)Sarah M. McWhirter (1 shared paper)Adolfo García‐Sastre (1 shared paper)Mark A. Chua (1 shared paper)Daniel J. Rader (1 shared paper)Chad A. Cowan (1 shared paper)Kiran Musunuru (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Molecular Cell (1 paper)Cell Reports (1 paper)Science Immunology (1 paper)Nature Immunology (1 paper)
- Partner nations
- United StatesAustraliaSpain
In The Last Decade
Sze‐Ling Ng
13 papers receiving 1.4k citations
Sze‐Ling Ng's Hit Papers
Peers
Comparison fields: 5 of 70
- Business and International Management 62
- Immunology 563
- Infectious Diseases 221
- Molecular Biology 737
- Oncology 260
Countries citing papers authored by Sze‐Ling Ng
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
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-authors
The 25 scholars most cited alongside Sze‐Ling Ng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Permanent Alteration of PCSK9 With In Vivo CRISPR-Cas9 Genome Editing Hit paper breakdown → | 2014 | 404 |
| 2 | 2007 | 279 | |
| 3 | 2013 | 189 | |
| 4 | 2006 | 127 | |
| 5 | 2021 | 118 | |
| 6 | 2011 | 97 | |
| 7 | 2023 | 52 | |
| 8 | 2004 | 50 | |
| 9 | 2009 | 28 | |
| 10 | 2023 | 11 | |
| 11 | 2019 | 3 | |
| 12 | 2021 | 2 | |
| 13 | 2025 | 2 |
About Sze‐Ling Ng
Sze‐Ling Ng is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Oncology and Surgery, having authored 13 papers that have together received 1.4k indexed citations. Recurring topics across this work include interferon and immune responses (6 papers), Inflammasome and immune disorders (3 papers), Immune Cell Function and Interaction (3 papers), Viral Infections and Vectors (3 papers), Ubiquitin and proteasome pathways (2 papers), T-cell and B-cell Immunology (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Business and International Management (62 citations), Immunology (563 citations), Infectious Diseases (221 citations), Molecular Biology (737 citations) and Oncology (260 citations). Sze‐Ling Ng has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include Tom Maniatis, Benjamin R. tenOever, Sarah M. McWhirter, Adolfo García‐Sastre, Mark A. Chua, Daniel J. Rader, Chad A. Cowan, Kiran Musunuru, Alanna Strong and Kevin Patel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Cell, Cell Reports, Science Immunology and Nature Immunology.
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.