Hung-Ta Wo

48 total papers · 728 total citations
37 papers, 449 citations indexed

About

Hung-Ta Wo is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Hung-Ta Wo has authored 37 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cardiology and Cardiovascular Medicine, 6 papers in Molecular Biology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Hung-Ta Wo's work include Cardiac electrophysiology and arrhythmias (18 papers), Cardiac Arrhythmias and Treatments (18 papers) and Atrial Fibrillation Management and Outcomes (13 papers). Hung-Ta Wo is often cited by papers focused on Cardiac electrophysiology and arrhythmias (18 papers), Cardiac Arrhythmias and Treatments (18 papers) and Atrial Fibrillation Management and Outcomes (13 papers). Hung-Ta Wo collaborates with scholars based in Taiwan, United States and China. Hung-Ta Wo's co-authors include Ming‐Shien Wen, Po‐Cheng Chang, Chung‐Chuan Chou, San‐Jou Yeh, Hui‐Ling Lee, Tien‐Hsing Chen, Chun‐Chieh Wang, Xulei Qin, Masataka Nishiga and Jing Ge and has published in prestigious journals such as ACS Nano, PLoS ONE and Scientific Reports.

In The Last Decade

Hung-Ta Wo

34 papers receiving 447 citations

Author Peers

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

Author						Papers	Cites
Hung-Ta Wo	254	100	72	50	47	37	449
Carlo Dal Lin	203 0.8×	72 0.7×	121 1.7×	72 1.4×	9 0.2×	38	482
Jacek Drobnik	62 0.2×	76 0.8×	68 0.9×	77 1.5×	152 3.2×	37	469
F. Markos	150 0.6×	94 0.9×	94 1.3×	81 1.6×	27 0.6×	45	427
Yu Liu	99 0.4×	145 1.4×	210 2.9×	45 0.9×	12 0.3×	41	540
Athanasios Peppas	202 0.8×	98 1.0×	114 1.6×	106 2.1×	5 0.1×	22	478
Qiuling Xiang	131 0.5×	180 1.8×	94 1.3×	40 0.8×	11 0.2×	26	496
John E. Chimoskey	220 0.9×	99 1.0×	73 1.0×	87 1.7×	16 0.3×	34	470
Ahmed Ménaouar	124 0.5×	119 1.2×	77 1.1×	85 1.7×	138 2.9×	25	540
Jitka Švíglerová	164 0.6×	75 0.8×	89 1.2×	51 1.0×	15 0.3×	36	440
Ming-Yun Ho	154 0.6×	140 1.4×	118 1.6×	147 2.9×	23 0.5×	28	436

Countries citing papers authored by Hung-Ta Wo

Since Specialization

Citations

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

Fields of papers citing papers by Hung-Ta Wo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung-Ta Wo. 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 Hung-Ta Wo. The network helps show where Hung-Ta Wo may publish in the future.

Co-authorship network of co-authors of Hung-Ta Wo

This figure shows the co-authorship network connecting the top 25 collaborators of Hung-Ta Wo. A scholar is included among the top collaborators of Hung-Ta Wo 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 Hung-Ta Wo. Hung-Ta Wo 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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