Mi Jin Song

506 total citations
32 papers, 332 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 332 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), Endometriosis Research and Treatment (4 papers) and Congenital Anomalies and Fetal Surgery (4 papers). Mi Jin Song is often cited by papers focused on Prenatal Screening and Diagnostics (6 papers), Endometriosis Research and Treatment (4 papers) and Congenital Anomalies and Fetal Surgery (4 papers). Mi Jin Song collaborates with scholars based in South Korea, Mexico and China. Mi Jin Song's co-authors include Young Ho Lee, Sung Bin Park, Byoung Hee Han, Min Hoan Moon, Jeong‐Ah Kim, Jeong Yeon Cho, Hye Jeong Choi, Jong Hwa Lee, Hoomin Lee and Moon-Taek Park 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 320 citations

Peers

Mi Jin Song
Comparison fields: 5 of 69
  • Pediatrics, Perinatology and Child Health 106
  • Obstetrics and Gynecology 101
  • Surgery 97
  • Pulmonary and Respiratory Medicine 56
  • Public Health, Environmental and Occupational Health 48
Replace Barbara J. Doss with:
Barbara J. Doss United States
Arnim Bader Austria
Jeffrey Olpin United States
Eiji Kondo Japan
Amélie Benbara France
Vinciane Placé France
L. Selvaggi Italy
Sabrina Piedimonte Canada
Marie Audouin France
J Arraztoa Chile
Barbara J. Doss United States View profile →
Citations per field, relative to Mi Jin Song
Mi Jin Song · 1×
Citations per year, relative to Mi Jin Song
Mi Jin Song · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 10
2 2
3 20
4 1
5 1
6 10
7 30
8 17
9 7
10 6
11 30
12
Fetal Sonography for the Detection of Chromosomal Abnormality.
1
13 13
14
Characteristic sonographic vesicular pattern of a complete hydatidiform mole in the early first trimester.
3
15 4
16 23
17 9
18 22
19 7
20 1

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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