Christopher Song

1.1k citations
31 papers · 631 indexed · h-index 13

Christopher Song

27 papers receiving 616 citations

Peers

Christopher Song
Comparison fields: 5 of 72
  • Cardiology and Cardiovascular Medicine 456
  • Internal Medicine 43
  • Radiology, Nuclear Medicine and Imaging 122
  • Emergency Medicine 47
  • Behavioral Neuroscience 15
Replace Guglielmo Mario Actis Dato with:
Guglielmo Mario Actis Dato Italy
Mehmet Bilge Türkiye
Enrica Pezzullo Italy
Thomas L. McKiernan United States
Philippine Kiès Netherlands
Kyoung‐Min Park South Korea
Matthias Müller Germany
Christopher Beynon Germany
Harun Kılıç Türkiye
Christopher Song relative to Guglielmo Mario Actis Dato Italy Guglielmo Mario Actis Dato's profile →
Citations per field
00.5×
Guglielmo Mario Actis Dato · 1×
Citations per year

Countries citing papers authored by Christopher Song

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20240
4 20241
5 20231
6 20237
7 20214
8 20207
9 20201
10 201920
11 201943
12 201989
13 20192
14 201839
15 20178
16 201725
17 201718
18 201623
19 200629
20 20032

About Christopher Song

Christopher Song is a scholar working on Microbiology, Cardiology and Cardiovascular Medicine, Internal Medicine, Biological Psychiatry and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 631 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (14 papers), Cardiac Arrhythmias and Treatments (11 papers), Cardiac Imaging and Diagnostics (8 papers), Acute Ischemic Stroke Management (5 papers), Cardiac Arrest and Resuscitation (3 papers), Cardiovascular Function and Risk Factors (3 papers), Cerebrovascular and Carotid Artery Diseases (2 papers) and Venous Thromboembolism Diagnosis and Management (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (456 citations), Internal Medicine (43 citations), Radiology, Nuclear Medicine and Imaging (122 citations), Emergency Medicine (47 citations) and Behavioral Neuroscience (15 citations). Christopher Song has collaborated with scholars based in United States, China and Czechia. Frequent co-authors include Shadi Yaghi, Karen L. Furie, Hooman Kamel, Mitchell S.V. Elkind, William A. Gray, Shawna Cutting, Mark S. Link, N.A. Mark Estes, Alexander E. Merkler and Tina Burton. Their work appears in journals such as Journal of Stroke and Cerebrovascular Diseases, Stroke, Journal of Cardiovascular Development and Disease, Scientific Reports and Journal of Interventional Cardiac Electrophysiology.

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

Rankless by CCL
2026