Pak Hei Chan

47 total papers · 748 total citations
26 papers, 521 citations indexed

About

Pak Hei Chan is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Pak Hei Chan has authored 26 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 16 papers in Cardiology and Cardiovascular Medicine and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Pak Hei Chan's work include Coronary Interventions and Diagnostics (10 papers), Cardiac Valve Diseases and Treatments (9 papers) and Atrial Fibrillation Management and Outcomes (6 papers). Pak Hei Chan is often cited by papers focused on Coronary Interventions and Diagnostics (10 papers), Cardiac Valve Diseases and Treatments (9 papers) and Atrial Fibrillation Management and Outcomes (6 papers). Pak Hei Chan collaborates with scholars based in United Kingdom, Hong Kong and China. Pak Hei Chan's co-authors include Carlo Di Mario, Eduardo Alegría‐Barrero, Nicolas Foin, Nicola Viceconte, Alistair C Lindsay, Ryo Torii, Neil Moat, Justin E. Davies, Rob Krams and Manuel Paulo and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and The American Journal of Cardiology.

In The Last Decade

Pak Hei Chan

25 papers receiving 509 citations

Author Peers

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

Author						Papers	Cites
Pak Hei Chan	361	347	197	192	81	26	521
Eugene Wallsh	345 1.0×	275 0.8×	113 0.6×	133 0.7×	49 0.6×	26	489
Salim Adawi	161 0.4×	434 1.3×	235 1.2×	90 0.5×	91 1.1×	28	618
Yasumi Igarashi	400 1.1×	197 0.6×	214 1.1×	187 1.0×	22 0.3×	36	584
Alun Harcombe	264 0.7×	397 1.1×	145 0.7×	158 0.8×	67 0.8×	24	581
Nelson M. Wolf	228 0.6×	380 1.1×	293 1.5×	82 0.4×	30 0.4×	21	521
Avanindra Jain	250 0.7×	315 0.9×	253 1.3×	124 0.6×	36 0.4×	29	503
Dan Elian	340 0.9×	429 1.2×	192 1.0×	60 0.3×	46 0.6×	32	577
Christian Witzke	199 0.6×	380 1.1×	113 0.6×	260 1.4×	202 2.5×	37	562
James T. DeVries	235 0.7×	266 0.8×	223 1.1×	113 0.6×	52 0.6×	36	538
Srinivas Iyengar	447 1.2×	406 1.2×	148 0.8×	128 0.7×	31 0.4×	20	618

Countries citing papers authored by Pak Hei Chan

Since Specialization

Citations

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

Fields of papers citing papers by Pak Hei Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pak Hei 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 Pak Hei Chan. The network helps show where Pak Hei Chan may publish in the future.

Co-authorship network of co-authors of Pak Hei Chan

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