Sheng‐Chia Chung

95 total papers · 71.9k total citations
33 papers, 931 citations indexed

About

Sheng‐Chia Chung is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and General Health Professions. According to data from OpenAlex, Sheng‐Chia Chung has authored 33 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cardiology and Cardiovascular Medicine, 5 papers in Epidemiology and 4 papers in General Health Professions. Recurrent topics in Sheng‐Chia Chung's work include Atrial Fibrillation Management and Outcomes (8 papers), Cardiovascular Function and Risk Factors (7 papers) and Acute Myocardial Infarction Research (5 papers). Sheng‐Chia Chung is often cited by papers focused on Atrial Fibrillation Management and Outcomes (8 papers), Cardiovascular Function and Risk Factors (7 papers) and Acute Myocardial Infarction Research (5 papers). Sheng‐Chia Chung collaborates with scholars based in United Kingdom, United States and Sweden. Sheng‐Chia Chung's co-authors include Harry Hemingway, Adam Timmis, Tomas Jernberg, John Deanfield, Lars Wallentin, Anders Jeppsson, Maria M. Brooks, Stefan James, Rolf Gedeborg and Peter U. Heuschmann and has published in prestigious journals such as The Lancet, Circulation and Journal of the American College of Cardiology.

In The Last Decade

Sheng‐Chia Chung

32 papers receiving 903 citations

Author Peers

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

Author Last Decade Papers Cites
Sheng‐Chia Chung 513 182 130 123 109 33 931
Christopher Gamboa 433 0.8× 202 1.1× 177 1.4× 58 0.5× 99 0.9× 23 1.0k
Ali F. Sonel 666 1.3× 331 1.8× 82 0.6× 141 1.1× 81 0.7× 32 1.1k
Linda R. Donovan 498 1.0× 126 0.7× 194 1.5× 74 0.6× 208 1.9× 26 1.0k
Lawrence Liao 823 1.6× 224 1.2× 106 0.8× 122 1.0× 81 0.7× 33 1.2k
Karen F. Miller 399 0.8× 90 0.5× 86 0.7× 55 0.4× 47 0.4× 45 833
Corina Grey 529 1.0× 178 1.0× 135 1.0× 107 0.9× 145 1.3× 88 1.1k
Prakriti Gaba 400 0.8× 289 1.6× 80 0.6× 124 1.0× 67 0.6× 39 1.1k
Marion Mafham 258 0.5× 145 0.8× 80 0.6× 37 0.3× 75 0.7× 33 1.1k
Susan Connolly 433 0.8× 212 1.2× 107 0.8× 57 0.5× 99 0.9× 38 1.1k
Chava L. Ramspek 205 0.4× 175 1.0× 222 1.7× 111 0.9× 107 1.0× 33 1.2k

Countries citing papers authored by Sheng‐Chia Chung

Since Specialization
Citations

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

Fields of papers citing papers by Sheng‐Chia Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheng‐Chia Chung. 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 Sheng‐Chia Chung. The network helps show where Sheng‐Chia Chung may publish in the future.

Co-authorship network of co-authors of Sheng‐Chia Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng‐Chia Chung. A scholar is included among the top collaborators of Sheng‐Chia Chung 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 Sheng‐Chia Chung. Sheng‐Chia Chung 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