Yun‐Mi Song

237 total papers · 6.7k total citations
196 papers, 4.7k citations indexed

About

Yun‐Mi Song is a scholar working on Public Health, Environmental and Occupational Health, Oncology and Epidemiology. According to data from OpenAlex, Yun‐Mi Song has authored 196 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Public Health, Environmental and Occupational Health, 37 papers in Oncology and 32 papers in Epidemiology. Recurrent topics in Yun‐Mi Song's work include Obesity, Physical Activity, Diet (21 papers), Nutritional Studies and Diet (15 papers) and Digital Radiography and Breast Imaging (15 papers). Yun‐Mi Song is often cited by papers focused on Obesity, Physical Activity, Diet (21 papers), Nutritional Studies and Diet (15 papers) and Digital Radiography and Breast Imaging (15 papers). Yun‐Mi Song collaborates with scholars based in South Korea, United States and Australia. Yun‐Mi Song's co-authors include Joohon Sung, Kayoung Lee, Shah Ebrahim, George Davey Smith, GwangPyo Ko, Sung‐Il Cho, Joohon Sung, Debbie A. Lawlor, Mi Young Lim and Jinyoung Shin and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Yun‐Mi Song

187 papers receiving 4.6k citations

Author Peers

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

Author Last Decade Papers Cites
Yun‐Mi Song 1.1k 987 778 755 703 196 4.7k
Joohon Sung 1.1k 1.0× 1.6k 1.6× 1.0k 1.3× 817 1.1× 766 1.1× 236 5.9k
Sun‐Seog Kweon 713 0.7× 652 0.7× 962 1.2× 921 1.2× 705 1.0× 203 5.5k
Peter Schwarz 842 0.8× 932 0.9× 922 1.2× 617 0.8× 688 1.0× 240 5.7k
Sadao Suzuki 817 0.8× 782 0.8× 530 0.7× 700 0.9× 926 1.3× 221 5.2k
James J. Grady 1.3k 1.2× 926 0.9× 937 1.2× 534 0.7× 531 0.8× 198 7.2k
Tom Palmer 908 0.8× 945 1.0× 727 0.9× 681 0.9× 303 0.4× 89 5.8k
Mimi Kim 1.1k 1.0× 978 1.0× 374 0.5× 1.3k 1.7× 969 1.4× 195 7.7k
Elizabeth Williamson 693 0.6× 593 0.6× 580 0.7× 624 0.8× 593 0.8× 131 7.1k
Kyle Porter 714 0.7× 444 0.4× 637 0.8× 586 0.8× 638 0.9× 191 5.1k
Saeid Safiri 704 0.7× 594 0.6× 630 0.8× 808 1.1× 325 0.5× 201 6.4k

Countries citing papers authored by Yun‐Mi Song

Since Specialization
Citations

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

Fields of papers citing papers by Yun‐Mi Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun‐Mi Song

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