Min Jae Song

939 citations
35 papers · 595 indexed · h-index 14
Topics
3D Printing in Biomedical Research (14 papers)Cellular Mechanics and Interactions (7 papers)Cancer Cells and Metastasis (5 papers)

In The Last Decade

Min Jae Song

34 papers receiving 589 citations

Peers

Min Jae Song
Comparison fields: 5 of 96
  • Biomedical Engineering 306
  • Molecular Biology 170
  • Cell Biology 109
  • Automotive Engineering 87
  • Surgery 62
Replace Srinivas Ramasamy with:
Srinivas Ramasamy Singapore
Fiona Louis Japan
Noriko Umegaki‐Arao Japan
Sabrina Rohringer Austria
Matthias Fuest Germany
Liani Devito United Kingdom
M. Leclercq-Smekens Belgium
Chris Layton United Kingdom
Victoria L. Workman United Kingdom
Min Jae Song relative to Srinivas Ramasamy Singapore Srinivas Ramasamy's profile →
Citations per field
00.5×1.5×2.1×
Srinivas Ramasamy · 1×
Citations per year

Countries citing papers authored by Min Jae Song

Since Specialization
Citations

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

Fields of papers citing papers by Min Jae Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Jae Song

This figure shows the co-authorship network connecting the top 25 collaborators of Min Jae Song. A scholar is included among the top collaborators of Min Jae 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 Min Jae Song. Min Jae 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
#WorkIndexed citations
1 0
2 3
3 12
4 19
5 2
6 1
7 2
8 3
9 3
10 39
11 19
12 2
13 38
14 74
15 92
16 12
17
Hypoxia of Retina Pigment Epithelium Induces Type 1 CNV-like Morphology within 3D Engineered iPSC-RPE/“Choroid” Tissues
1
18 22
19
3D tissue engineered RPE/“choroid” to identify mechanism of AMD-disease initiation and progression
1
20 25

About Min Jae Song

Min Jae Song is a scholar working on Cell Biology, Biomedical Engineering and Biophysics, having authored 35 papers that have together received 595 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (14 papers), Cellular Mechanics and Interactions (7 papers) and Cancer Cells and Metastasis (5 papers). The work is most often cited by research in Automotive Engineering (87 citations), Biomedical Engineering (306 citations) and Cell Biology (109 citations). Min Jae Song has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Marc Ferrer, Kapil Bharti, Melissa L. Knothe Tate, David Dean, Sam Michael, Xue Liu, Chao Zhou, Jinyun Zou, Susan S. Margulies and G. Sitta Sittampalam. Their work appears in journals such as PLoS ONE, Biomaterials and Advanced Functional Materials.

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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