Gary Chew

14 total papers · 1.1k total citations
6 papers, 517 citations indexed

About

Gary Chew is a scholar working on Immunology, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, Gary Chew has authored 6 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Immunology, 2 papers in Pathology and Forensic Medicine and 2 papers in Epidemiology. Recurrent topics in Gary Chew's work include Immunodeficiency and Autoimmune Disorders (3 papers), Immune Cell Function and Interaction (2 papers) and T-cell and B-cell Immunology (2 papers). Gary Chew is often cited by papers focused on Immunodeficiency and Autoimmune Disorders (3 papers), Immune Cell Function and Interaction (2 papers) and T-cell and B-cell Immunology (2 papers). Gary Chew collaborates with scholars based in Australia, United States and United Kingdom. Gary Chew's co-authors include David A. Fulcher, Matthew Cook, S. Cindy, Bodo Grimbacher, Stuart G. Tangye, Melanie Wong, Archana Priyadarshi, Nicholas Simpson, Paul A. Gatenby and Sean Riminton and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of Allergy and Clinical Immunology and Pathology.

In The Last Decade

Gary Chew

6 papers receiving 509 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Gary Chew	423	109	81	54	50	6	517
Christina Großerichter-Wagener	315 0.7×	70 0.6×	85 1.0×	27 0.5×	48 1.0×	12	486
E. Graham Davies	298 0.7×	165 1.5×	164 2.0×	52 1.0×	79 1.6×	11	576
Esther W. Taanman-Kueter	442 1.0×	41 0.4×	53 0.7×	43 0.8×	52 1.0×	9	570
HansD. Ochs	306 0.7×	45 0.4×	131 1.6×	33 0.6×	108 2.2×	7	597
Jean Yves Bonnefoy	370 0.9×	34 0.3×	63 0.8×	40 0.7×	19 0.4×	8	599
Muriel Nguyen	481 1.1×	70 0.6×	98 1.2×	96 1.8×	22 0.4×	16	615
Eszter Csomor	250 0.6×	60 0.6×	63 0.8×	30 0.6×	45 0.9×	15	511
Chenxiong Le	174 0.4×	66 0.6×	148 1.8×	83 1.5×	46 0.9×	11	511
Kenichirou Tajima	499 1.2×	41 0.4×	98 1.2×	65 1.2×	12 0.2×	9	598
Alessandra Ferrera	172 0.4×	46 0.4×	126 1.6×	48 0.9×	45 0.9×	12	466

Countries citing papers authored by Gary Chew

Since Specialization

Citations

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

Fields of papers citing papers by Gary Chew

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary Chew. 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 Gary Chew. The network helps show where Gary Chew may publish in the future.

Co-authorship network of co-authors of Gary Chew

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

All Works

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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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