Dar‐San Hwang

803 total citations · 1 hit paper
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), Viral Infections and Immunology Research (1 paper) and Neuropeptides and Animal Physiology (1 paper). Dar‐San Hwang is often cited by papers focused on Cardiomyopathy and Myosin Studies (3 papers), Viral Infections and Immunology Research (1 paper) and Neuropeptides and Animal Physiology (1 paper). Dar‐San Hwang collaborates with scholars based in Taiwan, United Kingdom and United States. Dar‐San Hwang's co-authors include William J. McKenna, Christine E. Seidman, Hugh Watkins, Tatjana Levi, J G Seidman, Anthony Rosenzweig, Ying‐Tsung Chen, Jung‐Sheng Chen, Ludwig Thierfelder 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

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Characteristics and Prognostic Implications of Myosin Missense Mutations in Familial Hypertrophic Cardiomyopathy

1992 526 citations Hugh Watkins, Anthony Rosenzweig et al. New England Journal of Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dar‐San Hwang Taiwan	4	547	196	89	34	23	5	571
Corinna Armentano Italy	3	484 0.9×	203 1.0×	86 1.0×	50 1.5×	13 0.6×	4	500
Manuel Penas-Lado Spain	4	526 1.0×	123 0.6×	88 1.0×	14 0.4×	45 2.0×	7	569
Ella Field United Kingdom	9	331 0.6×	108 0.6×	86 1.0×	29 0.9×	31 1.3×	34	368
Gabrielle Norrish United Kingdom	10	361 0.7×	112 0.6×	113 1.3×	30 0.9×	32 1.4×	29	405
Massimo Baldi Italy	5	294 0.5×	68 0.3×	52 0.6×	19 0.6×	26 1.1×	11	313
María José Oliva‐Sandoval Spain	8	320 0.6×	62 0.3×	26 0.3×	16 0.5×	20 0.9×	9	330
Kayo Hayato Japan	13	418 0.8×	50 0.3×	61 0.7×	23 0.7×	54 2.3×	15	464
Juan Pablo Ochoa Spain	8	247 0.5×	127 0.6×	51 0.6×	34 1.0×	20 0.9×	39	296
William Uribe Colombia	6	538 1.0×	93 0.5×	29 0.3×	5 0.1×	34 1.5×	35	577
Lianming Kang China	11	249 0.5×	56 0.3×	42 0.5×	18 0.5×	46 2.0×	29	294

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

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Chen, Jung‐Sheng, et al.. (1995). Stereospecific blocking effects of naloxone against hemodynamic compromise and ventricular dysfunction due to myocardial ischemia and reperfusion. International Journal of Cardiology. 50(2). 125–129. 11 indexed citations

2.

Watkins, Hugh, Anthony Rosenzweig, Dar‐San Hwang, et al.. (1992). Characteristics and Prognostic Implications of Myosin Missense Mutations in Familial Hypertrophic Cardiomyopathy. New England Journal of Medicine. 326(17). 1108–1114. 526 indexed citations breakdown →

3.

Seidman, Christine E., Hugh Watkins, Ludwig Thierfelder, et al.. (1992). Analyses of cardiac myosin heavy chain gene mutations that cause familial hypertrophic cardiomyopathy. Journal of Molecular and Cellular Cardiology. 24. 19–19. 1 indexed citations

4.

Watkins, Hugh, et al.. (1992). Sporadic hypertrophic cardiomyopathy due to de novo myosin mutations. Journal of Molecular and Cellular Cardiology. 24. S77–S77. 9 indexed citations

5.

Chen, Ying‐Tsung, et al.. (1990). Detection of prosthetic mitral valve leak: A comparative study using transesophageal echocardiography, transthoracic echocardiography, and auscultation. Journal of Clinical Ultrasound. 18(7). 557–561. 24 indexed citations

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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