Jaseung Koo

1.5k citations
66 papers · 1.2k indexed · h-index 19
Topics
Graphene research and applications (9 papers)Advanced Sensor and Energy Harvesting Materials (7 papers)Block Copolymer Self-Assembly (5 papers)
Journals
Physical Review LettersJournal of NeuroscienceSHILAP Revista de lepidopterología

In The Last Decade

Jaseung Koo

58 papers receiving 1.2k citations

Peers

Jaseung Koo
Comparison fields: 5 of 107
  • Materials Chemistry 409
  • Polymers and Plastics 269
  • Biomedical Engineering 262
  • Molecular Biology 180
  • Cellular and Molecular Neuroscience 172
Replace Rakwoo Chang with:
Rakwoo Chang South Korea
Ku Youn Baik South Korea
József Nagy Hungary
Giovanni Manfredi Italy
Can Zhou China
Ermanno Miele Italy
Xiao Yang China
Erkin Şeker United States
Bo Chen China
Silvia Dante Italy
Jaseung Koo relative to Rakwoo Chang South Korea Rakwoo Chang's profile →
Citations per field
00.5×3.8×
Rakwoo Chang · 1×
Citations per year

Countries citing papers authored by Jaseung Koo

Since Specialization
Citations

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

Fields of papers citing papers by Jaseung Koo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaseung Koo

This figure shows the co-authorship network connecting the top 25 collaborators of Jaseung Koo. A scholar is included among the top collaborators of Jaseung Koo 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 Jaseung Koo. Jaseung Koo 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 0
4 12
5 8
6 5
7 4
8 4
9 2
10 22
11 1
12 43
13 2
14 37
15 260
16 42
17 15
18
In Vivo Embryo Production and Embryo Transfer in Hanwoo and Jeju Black Cattle Using CIDR
1
19 18
20 25

About Jaseung Koo

Jaseung Koo is a scholar working on Polymers and Plastics, Surfaces, Coatings and Films and Materials Chemistry, having authored 66 papers that have together received 1.2k indexed citations. Recurring topics across this work include Graphene research and applications (9 papers), Advanced Sensor and Energy Harvesting Materials (7 papers) and Block Copolymer Self-Assembly (5 papers). The work is most often cited by research in Polymers and Plastics (269 citations), Biomaterials (168 citations) and Surfaces, Coatings and Films (73 citations). Jaseung Koo has collaborated with scholars based in South Korea, United States and Ukraine. Frequent co-authors include Stéphane Angers, Jordan Antflick, Miriam Rafailovich, David R. Hampson, Syed Mukhtar Ahmed, Jonathan Sokolov, Tadanori Koga, E. L. Hahn, Takashi Kashiwagi and Seongchan Pack. Their work appears in journals such as Physical Review Letters, Journal of Neuroscience and SHILAP Revista de lepidopterología.

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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