Chin Poh

27 total papers · 678 total citations
17 papers, 398 citations indexed

About

Chin Poh is a scholar working on Surgery, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chin Poh has authored 17 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 12 papers in Epidemiology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chin Poh's work include Congenital Heart Disease Studies (11 papers), Cardiac Structural Anomalies and Repair (11 papers) and Aortic Disease and Treatment Approaches (3 papers). Chin Poh is often cited by papers focused on Congenital Heart Disease Studies (11 papers), Cardiac Structural Anomalies and Repair (11 papers) and Aortic Disease and Treatment Approaches (3 papers). Chin Poh collaborates with scholars based in Australia, New Zealand and United States. Chin Poh's co-authors include Yves d’Udekem, Michael O’Keefe, Peter Skillington, Rochelle Wynne, Edward Buratto, Marco Larobina, James Tatoulis, John Goldblatt, David S. Celermajer and Karin du Plessis and has published in prestigious journals such as Journal of the American College of Cardiology, Journal of Thoracic and Cardiovascular Surgery and Heart.

In The Last Decade

Chin Poh

16 papers receiving 387 citations

Author Peers

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

Author						Papers	Cites
Chin Poh	324	252	223	177	51	17	398
Joey M. Kuijpers	368 1.1×	275 1.1×	165 0.7×	189 1.1×	14 0.3×	16	443
Morten Helvind	233 0.7×	184 0.7×	222 1.0×	199 1.1×	26 0.5×	21	379
Kouji Fukae	278 0.9×	193 0.8×	258 1.2×	194 1.1×	61 1.2×	16	412
A Eygelaar	264 0.8×	181 0.7×	172 0.8×	154 0.9×	20 0.4×	13	346
Adriano Cipriani	231 0.7×	131 0.5×	187 0.8×	153 0.9×	43 0.8×	14	335
Amando Gamba	146 0.5×	209 0.8×	225 1.0×	126 0.7×	62 1.2×	29	440
Aijaz Hashmi	220 0.7×	158 0.6×	253 1.1×	245 1.4×	11 0.2×	21	413
Luis J. Rosado	143 0.4×	226 0.9×	244 1.1×	104 0.6×	50 1.0×	20	378
Wassim Khoury	219 0.7×	130 0.5×	286 1.3×	217 1.2×	63 1.2×	14	392
Tacy Downing	316 1.0×	142 0.6×	229 1.0×	181 1.0×	33 0.6×	24	406

Countries citing papers authored by Chin Poh

Since Specialization

Citations

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

Fields of papers citing papers by Chin Poh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chin Poh

This figure shows the co-authorship network connecting the top 25 collaborators of Chin Poh. A scholar is included among the top collaborators of Chin Poh 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 Chin Poh. Chin Poh 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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