Song Ih Ahn

884 citations
17 papers · 662 indexed · 1 hit paper · h-index 10
Topics
3D Printing in Biomedical Research (6 papers)Barrier Structure and Function Studies (4 papers)Neuroscience and Neural Engineering (3 papers)
Partner nations
South KoreaUnited States

In The Last Decade

Song Ih Ahn

17 papers receiving 650 citations

Hit Papers

Microengineered human blood–brain barrier platform for un...2020202620222024202050100150200250

Peers

Song Ih Ahn
Comparison fields: 5 of 90
  • Biomedical Engineering 375
  • Molecular Biology 153
  • Cellular and Molecular Neuroscience 121
  • Neurology 119
  • Biomaterials 99
Replace Yoshitaka Sei with:
Yoshitaka Sei United States
Jeongmoon J. Choi United States
Wing Yin Tong Australia
Remko van Vught Netherlands
Vinay V. Abhyankar United States
Goodwell Nzou United States
Seokyoung Bang South Korea
Nur Mustafaoğlu United States
Kyungmin Son South Korea
Jackson G. DeStefano United States
Song Ih Ahn relative to Yoshitaka Sei United States Yoshitaka Sei's profile →
Citations per field
00.5×1.5×
Yoshitaka Sei · 1×
Citations per year

Countries citing papers authored by Song Ih Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Song Ih Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Ih Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Song Ih Ahn. A scholar is included among the top collaborators of Song Ih Ahn 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 Song Ih Ahn. Song Ih Ahn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 7
2 2
3 1
4 2
5 42
6 11
7 4
8 102
9 11
10
Microengineered human blood–brain barrier platform for understanding nanoparticle transport mechanismsbreakdown →
297
11 8
12 42
13 18
14 61
15 9
16 35
17 10

About Song Ih Ahn

Song Ih Ahn is a scholar working on Neurology, Cancer Research and Biophysics, having authored 17 papers that have together received 662 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (6 papers), Barrier Structure and Function Studies (4 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Neurology (119 citations), Biomedical Engineering (375 citations) and Biomaterials (99 citations). Song Ih Ahn has collaborated with scholars based in South Korea and United States. Frequent co-authors include YongTae Kim, Jinhwan Kim, Yoshitaka Sei, Tobey J. MacDonald, Hyun‐Ji Park, Hak‐Joon Sung, Jeongmoon J. Choi, Allan I. Levey, Ruitao Su and Xia Ouyang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications 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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