John Gar Yan Chan

24 total papers · 1.0k total citations
22 papers, 861 citations indexed

About

John Gar Yan Chan is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Food Science. According to data from OpenAlex, John Gar Yan Chan has authored 22 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pulmonary and Respiratory Medicine, 6 papers in Epidemiology and 6 papers in Food Science. Recurrent topics in John Gar Yan Chan's work include Inhalation and Respiratory Drug Delivery (18 papers), Microencapsulation and Drying Processes (6 papers) and Pneumonia and Respiratory Infections (5 papers). John Gar Yan Chan is often cited by papers focused on Inhalation and Respiratory Drug Delivery (18 papers), Microencapsulation and Drying Processes (6 papers) and Pneumonia and Respiratory Infections (5 papers). John Gar Yan Chan collaborates with scholars based in Australia, United States and China. John Gar Yan Chan's co-authors include Hak‐Kim Chan, Michael Yang, Qi Zhou, Sharon Shui Yee Leung, Patricia A. Tang, Daniela Traini, Paul M. Young, Philip Chi Lip Kwok, Warwick J. Britton and Suzanne M. D’Addio and has published in prestigious journals such as PLoS ONE, Advanced Drug Delivery Reviews and Journal of Controlled Release.

In The Last Decade

John Gar Yan Chan

22 papers receiving 842 citations

Author Peers

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

Author						Papers	Cites
John Gar Yan Chan	661	309	217	116	105	22	861
Jean C. Sung	670 1.0×	414 1.3×	136 0.6×	141 1.2×	58 0.6×	13	934
M Telko	754 1.1×	328 1.1×	280 1.3×	93 0.8×	158 1.5×	12	902
Nicholas B. Carrigy	318 0.5×	119 0.4×	197 0.9×	99 0.9×	136 1.3×	28	913
Takehisa Nakajima	339 0.5×	379 1.2×	69 0.3×	70 0.6×	59 0.6×	20	699
Matthew Coates	691 1.0×	64 0.2×	177 0.8×	157 1.4×	247 2.4×	28	924
J. Montharu	493 0.7×	127 0.4×	43 0.2×	102 0.9×	33 0.3×	29	878
Floris Grasmeijer	711 1.1×	228 0.7×	256 1.2×	56 0.5×	129 1.2×	31	826
Susan Hoe	416 0.6×	125 0.4×	230 1.1×	23 0.2×	168 1.6×	28	758
Willem Andreas Germishuizen	258 0.4×	154 0.5×	64 0.3×	253 2.2×	100 1.0×	20	884
P.P.H. Le Brun	474 0.7×	131 0.4×	65 0.3×	167 1.4×	39 0.4×	30	740

Countries citing papers authored by John Gar Yan Chan

Since Specialization

Citations

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

Fields of papers citing papers by John Gar Yan Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Gar Yan Chan. 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 John Gar Yan Chan. The network helps show where John Gar Yan Chan may publish in the future.

Co-authorship network of co-authors of John Gar Yan Chan

This figure shows the co-authorship network connecting the top 25 collaborators of John Gar Yan Chan. A scholar is included among the top collaborators of John Gar Yan Chan 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 John Gar Yan Chan. John Gar Yan Chan 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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