Thomas Song

1.5k citations
34 papers · 1.1k · h-index 16

Impact in

Papers in

Thomas Song

30 papers receiving 1.1k citations

Peers

Thomas Song
Comparison fields: 5 of 90
  • Health Informatics 44
  • Cardiology and Cardiovascular Medicine 431
  • Internal Medicine 55
  • Radiology, Nuclear Medicine and Imaging 356
  • Critical Care and Intensive Care Medicine 33
Replace Kwang Nam Jin with:
Kwang Nam Jin South Korea
Adele Valentini Italy
Mats Christian Højbjerg Lassen Denmark
Michael P. McRae United States
Giuseppe Muscogiuri Italy
Ahmet İlker Tekkeşin Türkiye
Jae‐Kwang Lim South Korea
Marco Guglielmo Italy
Michael A. Bolen United States
Chang Sheng Zhou China
Thomas Song relative to Kwang Nam Jin South Korea Kwang Nam Jin's profile →
Citations per field
00.5×3.3×
Kwang Nam Jin · 1×
Citations per year

Countries citing papers authored by Thomas Song

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas Song, 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 Thomas Song Line = papers co-authored together Thomas Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020180
2 2017129
3 2016113
4 202099
5 201697
6 200992
7 201863
8 201545
9 201244
10 201037
11 201632
12 201429
13 202023
14
Coronary computed tomography angiography in dialysis patients undergoing pre-renal transplantation cardiac risk stratification.
201020
15 200719
16 202017
17 200715
18 20128
19 20194
20 20223

About Thomas Song

Thomas Song is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (9 papers), Atrial Fibrillation Management and Outcomes (5 papers), Infective Endocarditis Diagnosis and Management (4 papers), Cardiac Imaging and Diagnostics (4 papers), Lung Cancer Diagnosis and Treatment (3 papers), Cardiac Arrhythmias and Treatments (3 papers), COVID-19 Clinical Research Studies (3 papers) and Cardiac pacing and defibrillation studies (2 papers). The work is most often cited by research in Health Informatics (44 citations), Cardiology and Cardiovascular Medicine (431 citations), Internal Medicine (55 citations), Radiology, Nuclear Medicine and Imaging (356 citations) and Critical Care and Intensive Care Medicine (33 citations). Thomas Song has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Dee Dee Wang, William W. O’Neill, Adam B. Greenbaum, Milan Pantelic, Marvin H. Eng, Eric Myers, Jeffrey Nadig, Patrick Karabon, Janet Wyman and Neo Poyiadji. Their work appears in journals such as Journal of the American College of Cardiology, Academic Radiology, JACC. Cardiovascular imaging, Radiology and Cancer Epidemiology Biomarkers & Prevention.

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.

Explore authors with similar magnitude of impact