Shaun Kingston

18 total papers · 651 total citations
9 papers, 387 citations indexed

About

Shaun Kingston is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Shaun Kingston has authored 9 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pulmonary and Respiratory Medicine, 3 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Shaun Kingston's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Neonatal Respiratory Health Research (2 papers) and Inhalation and Respiratory Drug Delivery (2 papers). Shaun Kingston is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Neonatal Respiratory Health Research (2 papers) and Inhalation and Respiratory Drug Delivery (2 papers). Shaun Kingston collaborates with scholars based in United Kingdom, United States and France. Shaun Kingston's co-authors include Clare M. Lloyd, Poonam Ghai, Philip L. Molyneaux, Toby M. Maher, Adam J. Byrne, Peter McErlean, Richard Hewitt, Patricia P. Ogger, Simone A. Walker and Peter Saunders and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Brain Research and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Shaun Kingston

9 papers receiving 384 citations

Author Peers

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

Author Last Decade Papers Cites
Shaun Kingston 135 108 85 60 53 9 387
Jufang Yao 39 0.3× 188 1.7× 67 0.8× 33 0.6× 23 0.4× 11 367
GJ Laurent 261 1.9× 119 1.1× 62 0.7× 31 0.5× 8 0.2× 13 437
Zhi-bing Ou 33 0.2× 182 1.7× 80 0.9× 117 1.9× 49 0.9× 12 406
Ali Baker 31 0.2× 150 1.4× 108 1.3× 39 0.7× 20 0.4× 8 415
Xingwu Teng 127 0.9× 141 1.3× 122 1.4× 36 0.6× 6 0.1× 9 410
Anna Kleyman 41 0.3× 118 1.1× 93 1.1× 53 0.9× 7 0.1× 14 403
Changming Wang 140 1.0× 200 1.9× 66 0.8× 24 0.4× 13 0.2× 10 387
René HM te Morsche 27 0.2× 93 0.9× 31 0.4× 77 1.3× 11 0.2× 9 334
Wencong Dai 60 0.4× 136 1.3× 88 1.0× 40 0.7× 96 1.8× 9 413
Craig Boyer 206 1.5× 79 0.7× 36 0.4× 119 2.0× 11 0.2× 7 386

Countries citing papers authored by Shaun Kingston

Since Specialization
Citations

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

Fields of papers citing papers by Shaun Kingston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaun Kingston

This figure shows the co-authorship network connecting the top 25 collaborators of Shaun Kingston. A scholar is included among the top collaborators of Shaun Kingston 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 Shaun Kingston. Shaun Kingston 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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2026