Hsueh-Hwa Wang

20 total papers · 542 total citations
19 papers, 433 citations indexed

About

Hsueh-Hwa Wang is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Endocrine and Autonomic Systems. According to data from OpenAlex, Hsueh-Hwa Wang has authored 19 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Endocrine and Autonomic Systems. Recurrent topics in Hsueh-Hwa Wang's work include Cardiac Imaging and Diagnostics (5 papers), Cardiac electrophysiology and arrhythmias (4 papers) and Neuroscience of respiration and sleep (4 papers). Hsueh-Hwa Wang is often cited by papers focused on Cardiac Imaging and Diagnostics (5 papers), Cardiac electrophysiology and arrhythmias (4 papers) and Neuroscience of respiration and sleep (4 papers). Hsueh-Hwa Wang collaborates with scholars based in United States, Czechia and Sweden. Hsueh-Hwa Wang's co-authors include René Wégria, Charles W. Frank, Ronald L. Katz, J Lammerant, Robert C. Miller, Robert Miller, G. A. Misrahy, Ralph Epstein, Kenneth E. Eakins and Prasad S. Kulkarni and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Circulation Research.

In The Last Decade

Hsueh-Hwa Wang

19 papers receiving 363 citations

Author Peers

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

Author Last Decade Papers Cites
Hsueh-Hwa Wang 237 87 76 59 51 19 433
C. A. Schneider 259 1.1× 58 0.7× 76 1.0× 64 1.1× 57 1.1× 19 406
Salvador Sialer 236 1.0× 76 0.9× 87 1.1× 112 1.9× 34 0.7× 15 480
Masuki Mori 306 1.3× 91 1.0× 68 0.9× 97 1.6× 64 1.3× 20 449
Gr. Heyndrickx 140 0.6× 74 0.9× 47 0.6× 69 1.2× 45 0.9× 12 378
Kerry Kaplan 312 1.3× 127 1.5× 92 1.2× 47 0.8× 35 0.7× 19 466
Thomas H. Gardner 166 0.7× 107 1.2× 48 0.6× 147 2.5× 42 0.8× 24 474
K. Joseph Elsperger 324 1.4× 111 1.3× 158 2.1× 81 1.4× 46 0.9× 17 479
Sinsia A. Gao 367 1.5× 122 1.4× 80 1.1× 53 0.9× 17 0.3× 24 450
Dinah Sherzad Khatir 130 0.5× 43 0.5× 114 1.5× 61 1.0× 38 0.7× 19 379
Alfred J. Kaltman 310 1.3× 112 1.3× 89 1.2× 66 1.1× 31 0.6× 16 475

Countries citing papers authored by Hsueh-Hwa Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hsueh-Hwa Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsueh-Hwa Wang. 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 Hsueh-Hwa Wang. The network helps show where Hsueh-Hwa Wang may publish in the future.

Co-authorship network of co-authors of Hsueh-Hwa Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Hsueh-Hwa Wang. A scholar is included among the top collaborators of Hsueh-Hwa Wang 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 Hsueh-Hwa Wang. Hsueh-Hwa Wang 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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