Raphael Sung

1.2k citations
19 papers · 905 indexed · h-index 12

Impact in

Papers in

Raphael Sung

19 papers receiving 876 citations

Peers

Raphael Sung
Comparison fields: 5 of 94
  • Genetics 357
  • Clinical Biochemistry 62
  • Archeology 79
  • Cardiology and Cardiovascular Medicine 179
  • Molecular Biology 386
Replace Kumiko Murayama with:
Kumiko Murayama Japan
Santosh S. Arcot United States
Jiayou Chu China
K Omoto Japan
Mark Barash Australia
Klaus Olek Germany
J. Dissing Denmark
Panayiotis A. Ioannou Australia
Dongsheng Lu China
Matthew C. Dulik United States
Raphael Sung relative to Kumiko Murayama Japan Kumiko Murayama's profile →
Citations per field
00.5×4.8×
Kumiko Murayama · 1×
Citations per year

Countries citing papers authored by Raphael Sung

Since Specialization
Citations

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

Fields of papers citing papers by Raphael Sung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raphael Sung. 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 Raphael Sung. The network helps show where Raphael Sung may publish in the future.

Co-authors

The 25 scholars most cited alongside Raphael Sung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Raphael Sung Line = papers co-authored together Raphael Sung links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2005356
2 2000145
3
Conservation of the class I beta-tubulin gene in human populations and lack of mutations in lung cancers and paclitaxel-resistant ovarian cancers.
200266
4 200456
5 201254
6 200449
7 201343
8 201228
9 200425
10 201918
11 201115
12 201712
13 201611
14 20027
15 20216
16 20105
17 20163
18 19823
19 20213

About Raphael Sung

Raphael Sung is a scholar working on Cardiology and Cardiovascular Medicine, Cell Biology, Immunology and Allergy, Molecular Biology and Genetics, having authored 19 papers that have together received 905 indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (10 papers), Cardiac electrophysiology and arrhythmias (9 papers), Cardiac pacing and defibrillation studies (6 papers), Atrial Fibrillation Management and Outcomes (3 papers), RNA Research and Splicing (3 papers), Forensic and Genetic Research (2 papers), Genetic diversity and population structure (2 papers) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Genetics (357 citations), Clinical Biochemistry (62 citations), Archeology (79 citations), Cardiology and Cardiovascular Medicine (179 citations) and Molecular Biology (386 citations). Raphael Sung has collaborated with scholars based in United States, Spain and Australia. Frequent co-authors include Peidong Shen, Peter A. Underhill, Peter J. Oefner, Karen Davis, David Modiano, Alfredo Coppa, Toomas Kivisild, Marcus W. Feldman, Curt Scharfe and Dennis P. Wall. Their work appears in journals such as Journal of Cardiovascular Electrophysiology, Gene, Journal of Interventional Cardiac Electrophysiology, Arrhythmia & Electrophysiology Review and Circulation.

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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