Puay‐Wah Phuan

92 total papers · 2.9k total citations
52 papers, 2.3k citations indexed

About

Puay‐Wah Phuan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Organic Chemistry. According to data from OpenAlex, Puay‐Wah Phuan has authored 52 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 16 papers in Pulmonary and Respiratory Medicine and 13 papers in Organic Chemistry. Recurrent topics in Puay‐Wah Phuan's work include Cystic Fibrosis Research Advances (13 papers), Ion Transport and Channel Regulation (10 papers) and Neonatal Respiratory Health Research (7 papers). Puay‐Wah Phuan is often cited by papers focused on Cystic Fibrosis Research Advances (13 papers), Ion Transport and Channel Regulation (10 papers) and Neonatal Respiratory Health Research (7 papers). Puay‐Wah Phuan collaborates with scholars based in United States, Canada and China. Puay‐Wah Phuan's co-authors include Lukmanee Tradtrantip, A.S. Verkman, A. S. Verkman, Marisa C. Kozlowski, Marc O. Anderson, Peter M. Haggie, Jay R. Thiagarajah, Jeffrey L. Bennett, W. Namkung and Joseph‐Anthony Tan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Puay‐Wah Phuan

52 papers receiving 2.3k citations

Author Peers

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

Author Last Decade Papers Cites
Puay‐Wah Phuan 1.1k 513 471 422 411 52 2.3k
Marc O. Anderson 1.2k 1.1× 317 0.6× 410 0.9× 124 0.3× 140 0.3× 56 2.0k
Laurent Désaubry 1.8k 1.7× 149 0.3× 608 1.3× 138 0.3× 127 0.3× 89 3.2k
David Gallo 1.9k 1.8× 221 0.4× 138 0.3× 200 0.5× 178 0.4× 47 3.1k
Michael Huang 1.5k 1.4× 224 0.4× 139 0.3× 164 0.4× 142 0.3× 49 2.7k
Michael D. Kaufman 648 0.6× 119 0.2× 669 1.4× 1.0k 2.4× 347 0.8× 85 2.8k
E. Jon Jacobsen 643 0.6× 80 0.2× 780 1.7× 180 0.4× 215 0.5× 44 2.1k
Daret St. Clair 1.5k 1.5× 236 0.5× 118 0.3× 84 0.2× 129 0.3× 51 2.7k
Mark A. Ator 1.8k 1.7× 182 0.4× 601 1.3× 136 0.3× 91 0.2× 91 3.1k
Mariapaola Nitti 1.9k 1.8× 209 0.4× 192 0.4× 162 0.4× 107 0.3× 47 3.1k
Joana D. Amaral 1.1k 1.0× 203 0.4× 184 0.4× 74 0.2× 194 0.5× 52 2.7k

Countries citing papers authored by Puay‐Wah Phuan

Since Specialization
Citations

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

Fields of papers citing papers by Puay‐Wah Phuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Puay‐Wah Phuan. 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 Puay‐Wah Phuan. The network helps show where Puay‐Wah Phuan may publish in the future.

Co-authorship network of co-authors of Puay‐Wah Phuan

This figure shows the co-authorship network connecting the top 25 collaborators of Puay‐Wah Phuan. A scholar is included among the top collaborators of Puay‐Wah Phuan 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 Puay‐Wah Phuan. Puay‐Wah Phuan 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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