Yen-Shing Ng
Impact in
- Immunology top 2%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunodeficiency and Autoimmune Disorders
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
- Diabetes and associated disorders
Papers in
-
- T-cell and B-cell Immunology 5
- Immunodeficiency and Autoimmune Disorders 4
- Immune Cell Function and Interaction 4
- Genetics 3
- Diabetes and associated disorders 2
- Co-authors
- Eric Meffre (9 shared papers)Jonathan Samuels (2 shared papers)Isabelle Isnardi (5 shared papers)David Saadoun (2 shared papers)Jane H. Buckner (2 shared papers)Laurence Ménard (2 shared papers)Maxime Hervé (2 shared papers)Charlotte Cunningham‐Rundles (2 shared papers)
- Journals
- The Journal of Experimental Medicine (3 papers)Journal of Clinical Investigation (3 papers)Immunity (2 papers)Blood (1 paper)
- Partner nations
- United StatesFranceTürkiye
In The Last Decade
Yen-Shing Ng
9 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 59
- Immunology 1.2k
- Genetics 303
- Rheumatology 209
- Pathology and Forensic Medicine 228
- Genetics 292
Countries citing papers authored by Yen-Shing Ng
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
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-authors
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 350 | |
| 2 | 2005 | 253 | |
| 3 | 2005 | 252 | |
| 4 | 2011 | 231 | |
| 5 | 2008 | 173 | |
| 6 | 2007 | 94 | |
| 7 | 2015 | 60 | |
| 8 | 2017 | 58 | |
| 9 | 2012 | 42 |
About Yen-Shing Ng
Yen-Shing Ng is a scholar working on Immunology, Genetics, Physiology, Molecular Biology 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), Lymphoma Diagnosis and Treatment (1 paper), Cytomegalovirus and herpesvirus research (1 paper) and Protein Tyrosine Phosphatases (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, David Saadoun, Jane H. Buckner, Laurence Ménard, Maxime Hervé, Charlotte Cunningham‐Rundles, Emilia Albesiano and Bradley T. Messmer. 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.