Ser Hon Puah

57 total papers · 1.4k total citations
29 papers, 724 citations indexed

About

Ser Hon Puah is a scholar working on Pulmonary and Respiratory Medicine, Critical Care and Intensive Care Medicine and Neurology. According to data from OpenAlex, Ser Hon Puah has authored 29 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pulmonary and Respiratory Medicine, 8 papers in Critical Care and Intensive Care Medicine and 7 papers in Neurology. Recurrent topics in Ser Hon Puah's work include Respiratory Support and Mechanisms (9 papers), Long-Term Effects of COVID-19 (7 papers) and COVID-19 Clinical Research Studies (5 papers). Ser Hon Puah is often cited by papers focused on Respiratory Support and Mechanisms (9 papers), Long-Term Effects of COVID-19 (7 papers) and COVID-19 Clinical Research Studies (5 papers). Ser Hon Puah collaborates with scholars based in Singapore, Australia and United States. Ser Hon Puah's co-authors include Peter G. Gibson, Ling Qin, Qian Hui Chew, Kang Sim, Wee Khoon Ng, Cheong Wei Terence Huey, Pei Lin Lynnette Tan, Chen Seong Wong, Vishal G. Shelat and John Abisheganaden and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Research and Public Health and Archives of Physical Medicine and Rehabilitation.

In The Last Decade

Ser Hon Puah

25 papers receiving 713 citations

Hit Papers

COVID ‐19 acute respirato... 2020 2026 2022 2024 2020 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Ser Hon Puah 273 210 182 132 85 29 724
Lei Zha 260 1.0× 146 0.7× 164 0.9× 126 1.0× 73 0.9× 25 764
Bhupinder Natt 251 0.9× 248 1.2× 157 0.9× 90 0.7× 40 0.5× 25 758
Toshio Fukuoka 240 0.9× 111 0.5× 126 0.7× 86 0.7× 93 1.1× 48 766
Vito D’Agnano 200 0.7× 166 0.8× 148 0.8× 62 0.5× 49 0.6× 38 686
Fahad Al-Hameed 304 1.1× 170 0.8× 163 0.9× 88 0.7× 73 0.9× 39 798
Gerhard Schillinger 313 1.1× 163 0.8× 237 1.3× 53 0.4× 88 1.0× 16 764
Negin Hajizadeh 438 1.6× 144 0.7× 250 1.4× 40 0.3× 76 0.9× 52 866
Roberto Parrella 373 1.4× 155 0.7× 198 1.1× 54 0.4× 34 0.4× 52 827
Mette Reilev 226 0.8× 107 0.5× 136 0.7× 61 0.5× 31 0.4× 35 620
Dan Wootton 315 1.2× 77 0.4× 396 2.2× 137 1.0× 130 1.5× 28 859

Countries citing papers authored by Ser Hon Puah

Since Specialization
Citations

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

Fields of papers citing papers by Ser Hon Puah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ser Hon Puah. 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 Ser Hon Puah. The network helps show where Ser Hon Puah may publish in the future.

Co-authorship network of co-authors of Ser Hon Puah

This figure shows the co-authorship network connecting the top 25 collaborators of Ser Hon Puah. A scholar is included among the top collaborators of Ser Hon Puah 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 Ser Hon Puah. Ser Hon Puah 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