Yen-Shing Ng

2.0k total citations
9 papers, 1.5k citations indexed

About

Yen-Shing Ng is a scholar working on Immunology, Genetics and Physiology. According to data from OpenAlex, Yen-Shing Ng has authored 9 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 3 papers in Genetics and 2 papers in Physiology. Recurrent topics in Yen-Shing Ng's work include T-cell and B-cell Immunology (5 papers), Immunodeficiency and Autoimmune Disorders (4 papers) and Immune Cell Function and Interaction (4 papers). Yen-Shing Ng is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Immunodeficiency and Autoimmune Disorders (4 papers) and Immune Cell Function and Interaction (4 papers). Yen-Shing Ng collaborates with scholars based in United States, France and Türkiye. Yen-Shing Ng's 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 and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Blood.

In The Last Decade

Yen-Shing Ng

9 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yen-Shing Ng United States	9	1.2k	303	292	231	228	9	1.5k
Karin Reiter Germany	20	1.2k 1.0×	132 0.4×	149 0.5×	344 1.5×	127 0.6×	37	1.7k
Pauline A. van Schouwenburg Netherlands	19	990 0.8×	247 0.8×	246 0.8×	519 2.2×	64 0.3×	32	1.5k
Jennifer Barnard United States	14	1.4k 1.2×	258 0.9×	120 0.4×	482 2.1×	175 0.8×	18	2.0k
Boutahar Bendaoud France	17	527 0.4×	117 0.4×	123 0.4×	279 1.2×	140 0.6×	34	1.1k
Anupama Ahuja United States	6	683 0.6×	92 0.3×	258 0.9×	249 1.1×	86 0.4×	7	1.0k
Marilyn Thien Australia	7	856 0.7×	117 0.4×	87 0.3×	209 0.9×	90 0.4×	14	1.3k
Giorgio Inghirami United States	16	640 0.5×	180 0.6×	84 0.3×	303 1.3×	308 1.4×	28	1.3k
Simona Cascioli Italy	18	554 0.5×	221 0.7×	84 0.3×	71 0.3×	153 0.7×	28	1.1k
Aya Kawasaki Japan	22	826 0.7×	76 0.3×	155 0.5×	121 0.5×	192 0.8×	38	1.4k
Isabelle Isnardi United States	10	857 0.7×	66 0.2×	232 0.8×	135 0.6×	55 0.2×	11	1.0k

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 of co-authors of Yen-Shing Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Yen-Shing Ng. A scholar is included among the top collaborators of Yen-Shing 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 Yen-Shing Ng. Yen-Shing Ng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Schickel, Jean‐Nicolas, Salomé Glauzy, Yen-Shing Ng, et al.. (2017). Self-reactive VH4-34–expressing IgG B cells recognize commensal bacteria. The Journal of Experimental Medicine. 214(7). 1991–2003. 58 indexed citations

Cantaert, Tineke, Jason M. Bannock, Yen-Shing Ng, et al.. (2015). Activation-Induced Cytidine Deaminase Expression in Human B Cell Precursors Is Essential for Central B Cell Tolerance. Immunity. 43(5). 884–895. 60 indexed citations

Sauer, Aisha V., Henner Morbach, Immacolata Brigida, et al.. (2012). Defective B cell tolerance in adenosine deaminase deficiency is corrected by gene therapy. Journal of Clinical Investigation. 122(6). 2141–2152. 42 indexed citations

Ménard, Laurence, David Saadoun, Isabelle Isnardi, et al.. (2011). The PTPN22 allele encoding an R620W variant interferes with the removal of developing autoreactive B cells in humans. Journal of Clinical Investigation. 121(9). 3635–3644. 231 indexed citations

Isnardi, Isabelle, Yen-Shing Ng, Laurence Ménard, et al.. (2010). Complement receptor 2/CD21− human naive B cells contain mostly autoreactive unresponsive clones. Blood. 115(24). 5026–5036. 350 indexed citations

Isnardi, Isabelle, Yen-Shing Ng, Roja Motaghedi, et al.. (2008). IRAK-4- and MyD88-Dependent Pathways Are Essential for the Removal of Developing Autoreactive B Cells in Humans. Immunity. 29(5). 746–757. 173 indexed citations

Hervé, Maxime, Isabelle Isnardi, Yen-Shing Ng, et al.. (2007). CD40 ligand and MHC class II expression are essential for human peripheral B cell tolerance. The Journal of Experimental Medicine. 204(7). 1583–1593. 94 indexed citations

Hervé, Maxime, Kai Xu, Yen-Shing Ng, et al.. (2005). Unmutated and mutated chronic lymphocytic leukemias derive from self-reactive B cell precursors despite expressing different antibody reactivity. Journal of Clinical Investigation. 115(6). 1636–1643. 253 indexed citations

Samuels, Jonathan, et al.. (2005). Impaired early B cell tolerance in patients with rheumatoid arthritis. The Journal of Experimental Medicine. 201(10). 1659–1667. 252 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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