Eun-Cheol Song

10 total papers · 1.1k total citations
10 papers, 894 citations indexed

About

Eun-Cheol Song is a scholar working on Molecular Biology, Neurology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Eun-Cheol Song has authored 10 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Neurology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Eun-Cheol Song's work include Intracerebral and Subarachnoid Hemorrhage Research (5 papers), Cancer-related gene regulation (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Eun-Cheol Song is often cited by papers focused on Intracerebral and Subarachnoid Hemorrhage Research (5 papers), Cancer-related gene regulation (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Eun-Cheol Song collaborates with scholars based in South Korea, United States and Panama. Eun-Cheol Song's co-authors include Kon Chu, Soon‐Tae Lee, Jae‐Kyu Roh, Keun‐Hwa Jung, Manho Kim, Dong-In Sinn, Jeong‐Min Kim, Dong-Kyu Park, Sang Kun Lee and Eun‐Hee Kim and has published in prestigious journals such as Stroke, Brain Research and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Eun-Cheol Song

10 papers receiving 880 citations

Author Peers

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

Author Last Decade Papers Cites
Eun-Cheol Song 355 199 168 162 144 10 894
Mercedes Santiso 335 0.9× 202 1.0× 239 1.4× 186 1.1× 106 0.7× 12 878
Tohru Koide 297 0.8× 275 1.4× 299 1.8× 253 1.6× 182 1.3× 20 999
Dean A. Le 597 1.7× 269 1.4× 313 1.9× 73 0.5× 157 1.1× 11 1.0k
Kathleen K. Blizzard 267 0.8× 109 0.5× 170 1.0× 148 0.9× 306 2.1× 11 1.0k
Susan Longar 296 0.8× 128 0.6× 139 0.8× 251 1.5× 147 1.0× 7 794
Koh Kawasaki 402 1.1× 192 1.0× 199 1.2× 129 0.8× 117 0.8× 24 922
Xueren Zhao 358 1.0× 149 0.7× 234 1.4× 216 1.3× 245 1.7× 15 929
Malcolm E. Meistrell 316 0.9× 160 0.8× 152 0.9× 73 0.5× 335 2.3× 11 871
Issam A. Ayoub 381 1.1× 104 0.5× 106 0.6× 113 0.7× 179 1.2× 9 804
Roberto Paternò 361 1.0× 192 1.0× 138 0.8× 72 0.4× 74 0.5× 19 863

Countries citing papers authored by Eun-Cheol Song

Since Specialization
Citations

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

Fields of papers citing papers by Eun-Cheol Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eun-Cheol Song

This figure shows the co-authorship network connecting the top 25 collaborators of Eun-Cheol Song. A scholar is included among the top collaborators of Eun-Cheol Song 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 Eun-Cheol Song. Eun-Cheol Song 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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2026