Hak Chiaw Tang

36 total papers · 733 total citations
17 papers, 237 citations indexed

About

Hak Chiaw Tang is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Hak Chiaw Tang has authored 17 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 2 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Hak Chiaw Tang's work include Cardiomyopathy and Myosin Studies (8 papers), Cardiovascular Function and Risk Factors (7 papers) and Cardiac Valve Diseases and Treatments (3 papers). Hak Chiaw Tang is often cited by papers focused on Cardiomyopathy and Myosin Studies (8 papers), Cardiovascular Function and Risk Factors (7 papers) and Cardiac Valve Diseases and Treatments (3 papers). Hak Chiaw Tang collaborates with scholars based in Singapore, United Kingdom and Sweden. Hak Chiaw Tang's co-authors include Lorenzo Monserrat, Luís R. Lopes, Michael Hubank, Chrysoula Dalageorgou, Petros Syrris, Oliver Guttmann, Constantinos O’Mahony, Sharon Jenkins, Perry Elliott and Vincent Plagnol and has published in prestigious journals such as Journal of the American College of Cardiology, Cardiovascular Research and Heart.

In The Last Decade

Hak Chiaw Tang

16 papers receiving 237 citations

Author Peers

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

Author						Papers	Cites
Hak Chiaw Tang	206	65	44	34	31	17	237
Waseem Hindieh	259 1.3×	47 0.7×	30 0.7×	32 0.9×	51 1.6×	11	285
Lianming Kang	248 1.2×	55 0.8×	26 0.6×	46 1.4×	42 1.4×	28	292
Massimo Baldi	294 1.4×	68 1.0×	20 0.5×	26 0.8×	52 1.7×	11	314
Silvia Passantino	186 0.9×	44 0.7×	28 0.6×	26 0.8×	49 1.6×	27	220
Jiunn‐Lee Lin	259 1.3×	54 0.8×	24 0.5×	43 1.3×	38 1.2×	21	310
Yoji Nagata	241 1.2×	58 0.9×	20 0.5×	13 0.4×	32 1.0×	16	272
Dana Fourey	227 1.1×	83 1.3×	9 0.2×	16 0.5×	34 1.1×	14	266
Akihiko Hodatsu	244 1.2×	83 1.3×	16 0.4×	14 0.4×	23 0.7×	15	279
Jun Hua Chong	140 0.7×	17 0.3×	58 1.3×	55 1.6×	20 0.6×	20	255
Anne M. Dybro	154 0.7×	87 1.3×	9 0.2×	22 0.6×	60 1.9×	15	240

Countries citing papers authored by Hak Chiaw Tang

Since Specialization

Citations

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

Fields of papers citing papers by Hak Chiaw Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hak Chiaw Tang. 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 Hak Chiaw Tang. The network helps show where Hak Chiaw Tang may publish in the future.

Co-authorship network of co-authors of Hak Chiaw Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Hak Chiaw Tang. A scholar is included among the top collaborators of Hak Chiaw Tang 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 Hak Chiaw Tang. Hak Chiaw Tang 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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