Mi Jin Song

98 total papers · 503 total citations
32 papers, 331 citations indexed

About

Mi Jin Song is a scholar working on Pediatrics, Perinatology and Child Health, Surgery and Obstetrics and Gynecology. According to data from OpenAlex, Mi Jin Song has authored 32 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pediatrics, Perinatology and Child Health, 8 papers in Surgery and 7 papers in Obstetrics and Gynecology. Recurrent topics in Mi Jin Song's work include Prenatal Screening and Diagnostics (6 papers), Congenital Anomalies and Fetal Surgery (4 papers) and Ovarian cancer diagnosis and treatment (4 papers). Mi Jin Song is often cited by papers focused on Prenatal Screening and Diagnostics (6 papers), Congenital Anomalies and Fetal Surgery (4 papers) and Ovarian cancer diagnosis and treatment (4 papers). Mi Jin Song collaborates with scholars based in South Korea, China and Mexico. Mi Jin Song's co-authors include Young Ho Lee, Sung Bin Park, Byoung Hee Han, Min Hoan Moon, Jeong Yeon Cho, Jeong‐Ah Kim, Jong Hwa Lee, Hye Jeong Choi, Eun-Taex Oh and Hoomin Lee and has published in prestigious journals such as American Journal of Roentgenology, Phytotherapy Research and Haematologica.

In The Last Decade

Mi Jin Song

31 papers receiving 319 citations

Author Peers

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

Author Last Decade Papers Cites
Mi Jin Song 105 101 97 56 48 32 331
Suwanit Therasakvichya 66 0.6× 115 1.1× 108 1.1× 32 0.6× 99 2.1× 24 353
Jyotsna Sen 50 0.5× 89 0.9× 124 1.3× 74 1.3× 26 0.5× 43 327
Ghina Berjawi 57 0.5× 50 0.5× 79 0.8× 47 0.8× 69 1.4× 26 276
N. Pateisky 76 0.7× 72 0.7× 60 0.6× 19 0.3× 44 0.9× 36 309
Osamu Takamiya 80 0.8× 113 1.1× 51 0.5× 82 1.5× 18 0.4× 45 339
Micaela Petrone 50 0.5× 82 0.8× 64 0.7× 33 0.6× 81 1.7× 32 321
Ichiro Kawabata 114 1.1× 56 0.6× 118 1.2× 72 1.3× 58 1.2× 34 307
Maryam Kadivar 32 0.3× 62 0.6× 99 1.0× 91 1.6× 19 0.4× 40 338
Showa Aoki 101 1.0× 123 1.2× 89 0.9× 48 0.9× 31 0.6× 34 296
Mert Turğal 106 1.0× 99 1.0× 58 0.6× 10 0.2× 53 1.1× 40 280

Countries citing papers authored by Mi Jin Song

Since Specialization
Citations

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

Fields of papers citing papers by Mi Jin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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