Dar‐San Hwang

8 total papers · 802 total citations
5 papers, 571 citations indexed

About

Dar‐San Hwang is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Dar‐San Hwang has authored 5 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 1 paper in Molecular Biology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Dar‐San Hwang's work include Cardiomyopathy and Myosin Studies (3 papers), Heart Failure Treatment and Management (1 paper) and Receptor Mechanisms and Signaling (1 paper). Dar‐San Hwang is often cited by papers focused on Cardiomyopathy and Myosin Studies (3 papers), Heart Failure Treatment and Management (1 paper) and Receptor Mechanisms and Signaling (1 paper). Dar‐San Hwang collaborates with scholars based in Taiwan, United States and United Kingdom. Dar‐San Hwang's co-authors include Hugh Watkins, William J. McKenna, Christine E. Seidman, Tatjana Levi, Anthony Rosenzweig, J G Seidman, Ludwig Thierfelder, Ying‐Tsung Chen, Jung‐Sheng Chen and Ted W. Love and has published in prestigious journals such as New England Journal of Medicine, Journal of Molecular and Cellular Cardiology and International Journal of Cardiology.

In The Last Decade

Dar‐San Hwang

5 papers receiving 551 citations

Hit Papers

Characteristics and Progn... 1992 2026 2003 2014 1992 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Dar‐San Hwang 547 196 90 34 23 5 571
Corinna Armentano 484 0.9× 203 1.0× 86 1.0× 50 1.5× 13 0.6× 4 500
Manuel Penas-Lado 525 1.0× 123 0.6× 88 1.0× 15 0.4× 44 1.9× 7 567
Annie O'Donoghue 643 1.2× 273 1.4× 76 0.8× 31 0.9× 8 0.3× 3 686
Johanna C. Moolman 484 0.9× 201 1.0× 74 0.8× 17 0.5× 9 0.4× 8 538
L. Carrier 486 0.9× 350 1.8× 79 0.9× 16 0.5× 19 0.8× 10 573
Raja Kawas 584 1.1× 229 1.2× 90 1.0× 20 0.6× 29 1.3× 7 630
Jessica Woodley 343 0.6× 275 1.4× 44 0.5× 26 0.8× 14 0.6× 3 515
Susanne Probst 587 1.1× 385 2.0× 102 1.1× 20 0.6× 86 3.7× 7 661
Jean Cavanaugh 365 0.7× 339 1.7× 44 0.5× 5 0.1× 26 1.1× 10 572
Veena Thyagarajan 128 0.2× 289 1.5× 76 0.8× 7 0.2× 83 3.6× 9 548

Countries citing papers authored by Dar‐San Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Dar‐San Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dar‐San Hwang. 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 Dar‐San Hwang. The network helps show where Dar‐San Hwang may publish in the future.

Co-authorship network of co-authors of Dar‐San Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Dar‐San Hwang. A scholar is included among the top collaborators of Dar‐San Hwang 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 Dar‐San Hwang. Dar‐San Hwang 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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