Jin Young Song

48 total papers · 883 total citations
30 papers, 610 citations indexed

About

Jin Young Song is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jin Young Song has authored 30 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Epidemiology, 17 papers in Pulmonary and Respiratory Medicine and 14 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jin Young Song's work include Congenital Heart Disease Studies (17 papers), Cardiac Valve Diseases and Treatments (6 papers) and Pulmonary Hypertension Research and Treatments (5 papers). Jin Young Song is often cited by papers focused on Congenital Heart Disease Studies (17 papers), Cardiac Valve Diseases and Treatments (6 papers) and Pulmonary Hypertension Research and Treatments (5 papers). Jin Young Song collaborates with scholars based in South Korea, China and United States. Jin Young Song's co-authors include Cheul Lee, Jae Gun Kwak, Chang‐Ha Lee, Chun Soo Park, Woo-Sup Shim, Eun Young Choi, Soo‐Jin Kim, Yang Min Kim, Jae Suk Baek and June Huh and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Jin Young Song

28 papers receiving 593 citations

Author Peers

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

Author Last Decade Papers Cites
Jin Young Song 432 335 288 275 48 30 610
Floris E.A. Udink ten Cate 251 0.6× 203 0.6× 363 1.3× 112 0.4× 34 0.7× 36 622
Virginie Lambert 343 0.8× 340 1.0× 175 0.6× 235 0.9× 61 1.3× 32 646
Tiffanie R. Johnson 267 0.6× 263 0.8× 345 1.2× 175 0.6× 34 0.7× 28 589
Evan H. Dillon 165 0.4× 330 1.0× 96 0.3× 296 1.1× 57 1.2× 23 666
Mehmet Yurdakul 95 0.2× 338 1.0× 84 0.3× 298 1.1× 24 0.5× 39 512
Ravinder‐Jeet Singh 122 0.3× 229 0.7× 64 0.2× 196 0.7× 32 0.7× 42 586
Stephen E. Cyran 401 0.9× 182 0.5× 307 1.1× 323 1.2× 57 1.2× 44 677
Tamar J. Preminger 399 0.9× 292 0.9× 158 0.5× 395 1.4× 38 0.8× 27 656
L. LuAnn Minich 357 0.8× 267 0.8× 288 1.0× 286 1.0× 47 1.0× 19 592
Neil Patel 170 0.4× 276 0.8× 135 0.5× 129 0.5× 67 1.4× 46 632

Countries citing papers authored by Jin Young Song

Since Specialization
Citations

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

Fields of papers citing papers by Jin Young Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Young Song

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