Yang Woo Kwon

2.1k citations
42 papers · 1.6k indexed · 1 hit paper · h-index 20
Topics
Mesenchymal stem cell research (7 papers)Protease and Inhibitor Mechanisms (6 papers)Angiogenesis and VEGF in Cancer (5 papers)
Partner nations
South KoreaJapanCzechia

In The Last Decade

Yang Woo Kwon

42 papers receiving 1.6k citations

Hit Papers

3D cell printing of in vitro stabilized skin model and in...20182026202020232018100200300400

Peers

Yang Woo Kwon
Comparison fields: 5 of 108
  • Molecular Biology 774
  • Biomedical Engineering 450
  • Surgery 292
  • Biomaterials 271
  • Oncology 252
Replace Denis Evseenko with:
Denis Evseenko United States
Irina Arnaoutova United States
Cristina Manferdini Italy
Gary Hin‐Fai Yam Singapore
Joost O. Fledderus Netherlands
Elvira Forte United States
Chad Johnson United States
Perpétua Pinto‐do‐Ó Portugal
S.P. Domogatsky Russia
Patricia Albanese France
Yang Woo Kwon relative to Denis Evseenko United States Denis Evseenko's profile →
Citations per field
00.5×1.5×
Denis Evseenko · 1×
Citations per year

Countries citing papers authored by Yang Woo Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Yang Woo Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang Woo Kwon. 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 Yang Woo Kwon. The network helps show where Yang Woo Kwon may publish in the future.

Co-authorship network of co-authors of Yang Woo Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Woo Kwon. A scholar is included among the top collaborators of Yang Woo Kwon 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 Yang Woo Kwon. Yang Woo Kwon 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 4
2 2
3 159
4 19
5 7
6
3D cell printing of in vitro stabilized skin model and in vivo pre-vascularized skin patch using tissue-specific extracellular matrix bioink: A step towards advanced skin tissue engineeringbreakdown →
407
7 22
8 14
9 11
10 36
11 50
12 27
13 24
14 38
15 113
16 7
17 51
18 14
19 28
20 24

About Yang Woo Kwon

Yang Woo Kwon is a scholar working on Genetics, Rehabilitation and Cancer Research, having authored 42 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (7 papers), Protease and Inhibitor Mechanisms (6 papers) and Angiogenesis and VEGF in Cancer (5 papers). The work is most often cited by research in Rehabilitation (142 citations), Biomaterials (271 citations) and Genetics (218 citations). Yang Woo Kwon has collaborated with scholars based in South Korea, Japan and Czechia. Frequent co-authors include Jae Ho Kim, Gyu Tae Park, Soon Chul Heo, Il Ho Jang, Wonil Han, Hyungseok Lee, Dong‐Woo Cho, Byoung Soo Kim, Moon‐Bum Kim and Ge Gao. Their work appears in journals such as PLoS ONE, Biomaterials and Scientific Reports.

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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