Jae Min

3.7k citations
49 papers · 2.9k · h-index 27

Impact in

    • Electrospun Nanofibers in Biomedical Applications
    • Nanoparticle-Based Drug Delivery
    • Hydrogels: synthesis, properties, applications

Papers in

Jae Min

49 papers receiving 2.9k citations

Peers

Jae Min
Comparison fields: 5 of 135
  • Biomaterials 905
  • Molecular Medicine 241
  • Biomedical Engineering 1.7k
  • Genetics 238
  • Automotive Engineering 257
Replace Kyobum Kim with:
Kyobum Kim South Korea
Zigang Ge China
Anuradha Subramanian United States
Jeroen Leijten Netherlands
Junmin Lee United States
Gerard J. Madlambayan United States
James P. K. Armstrong United Kingdom
Soyon Kim United States
Daniel L. Alge United States
Jessica E. Frith Australia
Jae Min relative to Kyobum Kim South Korea Kyobum Kim's profile →
Citations per field
00.5×1.5×1.8×
Kyobum Kim · 1×
Citations per year

Countries citing papers authored by Jae Min

Since Specialization
Citations

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

Fields of papers citing papers by Jae Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jae Min, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jae Min Line = papers co-authored together Jae Min links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011380
2 2012324
3 2012264
4 2018137
5 2016137
6 2018128
7 2008128
8 2005101
9 200690
10 201682
11 201178
12 201274
13 201070
14 201363
15 202061
16 200756
17 201955
18 202055
19 201253
20 201852

About Jae Min

Jae Min is a scholar working on Biomedical Engineering, Molecular Biology, Surgery, Biomaterials and Genetics, having authored 49 papers that have together received 2.9k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (21 papers), Tissue Engineering and Regenerative Medicine (10 papers), Mesenchymal stem cell research (8 papers), Electrospun Nanofibers in Biomedical Applications (7 papers), Bone Tissue Engineering Materials (6 papers), Pluripotent Stem Cells Research (6 papers), Neuroscience and Neural Engineering (5 papers) and Extracellular vesicles in disease (5 papers). The work is most often cited by research in Biomaterials (905 citations), Molecular Medicine (241 citations), Biomedical Engineering (1.7k citations), Genetics (238 citations) and Automotive Engineering (257 citations). Jae Min has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Hojae Bae, Ali Khademhosseini, Su Ryon Shin, Oh Young Bang, Gyeong Joon Moon, Mehmet R. Dokmeci, Pınar Zorlutuna, Ji Hyun Ryu, Athanasios Mantalaris and Jason W. Nichol. Their work appears in journals such as Journal of Tissue Engineering and Regenerative Medicine, PLoS ONE, Marine Drugs, Macromolecular Research and International Journal of Molecular Medicine.

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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