Yen-Shing Ng

2.0k citations
9 papers · 1.5k indexed · h-index 9
  • Immunology top 2%
    • T-cell and B-cell Immunology 5
    • Immunodeficiency and Autoimmune Disorders 4
    • Immune Cell Function and Interaction 4
    • Immune Response and Inflammation 1
  • Genetics top 5%
    • Diabetes and associated disorders 2
    • Virus-based gene therapy research 1
    • Chronic Lymphocytic Leukemia Research 1
  • Genetics top 10%
    • Diabetes and associated disorders 2
    • Virus-based gene therapy research 1
    • Chronic Lymphocytic Leukemia Research 1
    • Adenosine and Purinergic Signaling 2

Yen-Shing Ng

9 papers receiving 1.5k citations

Peers

Yen-Shing Ng
Comparison fields: 5 of 59
  • Immunology 1.2k
  • Genetics 303
  • Rheumatology 209
  • Pathology and Forensic Medicine 228
  • Genetics 292
Replace Jennifer Barnard with:
Jennifer Barnard United States
Giorgio Inghirami United States
Marilyn Thien Australia
Anupama Ahuja United States
Boutahar Bendaoud France
Karin Reiter Germany
Christian Kneitz Germany
Isabelle Isnardi United States
Aya Kawasaki Japan
Simona Cascioli Italy
Yen-Shing Ng relative to Jennifer Barnard United States Jennifer Barnard's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yen-Shing Ng

Since Specialization
Citations

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

Fields of papers citing papers by Yen-Shing Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

9 of 9 papers shown
#Work
1 201758
2 201560
3 201242
4 2011231
5 2010350
6 2008173
7 200794
8 2005253
9 2005252

About Yen-Shing Ng

Yen-Shing Ng is a scholar working on Physiology, Immunology, Endocrinology, Genetics and Genetics, having authored 9 papers that have together received 1.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Immune Cell Function and Interaction (4 papers), Adenosine and Purinergic Signaling (2 papers), Diabetes and associated disorders (2 papers), Virus-based gene therapy research (1 paper), Chronic Lymphocytic Leukemia Research (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Immunology (1.2k citations), Genetics (303 citations), Rheumatology (209 citations), Pathology and Forensic Medicine (228 citations) and Genetics (292 citations). Yen-Shing Ng has collaborated with scholars based in United States, France and Türkiye. Frequent co-authors include Eric Meffre, Jonathan Samuels, Isabelle Isnardi, Laurence Ménard, Jane H. Buckner, David Saadoun, Maxime Hervé, Charlotte Cunningham‐Rundles, Emilia Albesiano and Kai Xu. Their work appears in journals such as The Journal of Experimental Medicine, Journal of Clinical Investigation, Immunity and Blood.

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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