Sheen Peeceeyen

21 total papers · 454 total citations
15 papers, 303 citations indexed

About

Sheen Peeceeyen is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Sheen Peeceeyen has authored 15 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 7 papers in Surgery and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Sheen Peeceeyen's work include Cardiac Valve Diseases and Treatments (4 papers), Cardiac and Coronary Surgery Techniques (4 papers) and Aortic Disease and Treatment Approaches (3 papers). Sheen Peeceeyen is often cited by papers focused on Cardiac Valve Diseases and Treatments (4 papers), Cardiac and Coronary Surgery Techniques (4 papers) and Aortic Disease and Treatment Approaches (3 papers). Sheen Peeceeyen collaborates with scholars based in Australia. Sheen Peeceeyen's co-authors include Christopher Cao, Con Manganas, Tristan D. Yan, Su C. Ang, Mathew Doyle, Praveen Indraratna, Gregory E. Peoples, Paul G. Bannon, Kevin C. Hanel and M. G. Cooper and has published in prestigious journals such as Journal of Thoracic and Cardiovascular Surgery, International Journal of Infectious Diseases and European Journal of Preventive Cardiology.

In The Last Decade

Sheen Peeceeyen

13 papers receiving 296 citations

Author Peers

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

Author						Papers	Cites
Sheen Peeceeyen	151	117	98	41	25	15	303
P N Yu	154 1.0×	87 0.7×	114 1.2×	25 0.6×	9 0.4×	21	339
Marie-Hélène Auclair	152 1.0×	90 0.8×	64 0.7×	10 0.2×	54 2.2×	19	340
Ahmad A. Abdul-Aziz	66 0.4×	133 1.1×	113 1.2×	49 1.2×	13 0.5×	22	271
Cuilian Weng	107 0.7×	31 0.3×	80 0.8×	39 1.0×	8 0.3×	17	312
M Schindler	32 0.2×	135 1.2×	177 1.8×	39 1.0×	8 0.3×	20	325
Cüneyt Konuralp	98 0.6×	127 1.1×	109 1.1×	13 0.3×	7 0.3×	18	338
Johannes Steiner	92 0.6×	60 0.5×	183 1.9×	25 0.6×	6 0.2×	17	277
Clément Brun	50 0.3×	166 1.4×	133 1.4×	17 0.4×	43 1.7×	19	300
Daniel Enter	68 0.5×	245 2.1×	75 0.8×	72 1.8×	16 0.6×	17	302
Asuman Yavuz	124 0.8×	52 0.4×	35 0.4×	12 0.3×	15 0.6×	17	329

Countries citing papers authored by Sheen Peeceeyen

Since Specialization

Citations

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

Fields of papers citing papers by Sheen Peeceeyen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheen Peeceeyen

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