Seokyung Kang

1.4k citations
18 papers · 1.1k indexed · 1 hit paper · h-index 15
Topics
Bone Tissue Engineering Materials (6 papers)Tissue Engineering and Regenerative Medicine (5 papers)Graphene and Nanomaterials Applications (5 papers)

In The Last Decade

Seokyung Kang

18 papers receiving 1.1k citations

Hit Papers

M1 Macrophage-Derived Nanovesicles Potentiate the Antican...20182026202020232018100200300

Peers

Seokyung Kang
Comparison fields: 5 of 87
  • Biomedical Engineering 685
  • Molecular Biology 424
  • Biomaterials 275
  • Immunology 245
  • Materials Chemistry 159
Replace Xinchi Jiang with:
Xinchi Jiang China
Zhisheng Xiao China
Honghui Wu China
Beike Wang China
Yeon Woong Choo South Korea
Bolei Cai China
Francisco M. Martín-Saavedra Spain
Jingdong Rao China
Qiusheng Shi China
Ali H. Alhasan United States
Seokyung Kang relative to Xinchi Jiang China Xinchi Jiang's profile →
Citations per field
00.5×3.9×
Xinchi Jiang · 1×
Citations per year

Countries citing papers authored by Seokyung Kang

Since Specialization
Citations

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

Fields of papers citing papers by Seokyung Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seokyung Kang

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 103
2
M1 Macrophage-Derived Nanovesicles Potentiate the Anticancer Efficacy of Immune Checkpoint Inhibitorsbreakdown →
381
3 16
4 5
5 38
6 74
7 8
8 34
9 153
10 40
11 39
12 7
13 14
14 108
15 28
16 18
17 14
18 24

About Seokyung Kang

Seokyung Kang is a scholar working on Biomaterials, Biomedical Engineering and Genetics, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (6 papers), Tissue Engineering and Regenerative Medicine (5 papers) and Graphene and Nanomaterials Applications (5 papers). The work is most often cited by research in Biomaterials (275 citations), Biomedical Engineering (685 citations) and Immunology (245 citations). Seokyung Kang has collaborated with scholars based in South Korea, Russia and United States. Frequent co-authors include Byung‐Soo Kim, Suk Ho Bhang, Ju‐Ro Lee, Jin Han, Gun‐Jae Jeong, Mungyo Jung, Han Young Kim, Seuk Young Song, Jihye Hong and Sung Pil Kwon. Their work appears in journals such as Advanced Materials, Angewandte Chemie International Edition and ACS Nano.

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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