Gaeun Kim

1.1k citations
35 papers · 619 indexed · h-index 12
Topics
Extracellular vesicles in disease (5 papers)RNA Interference and Gene Delivery (4 papers)Nanoparticle-Based Drug Delivery (4 papers)

In The Last Decade

Gaeun Kim

32 papers receiving 609 citations

Peers

Gaeun Kim
Comparison fields: 5 of 92
  • Biomedical Engineering 324
  • Molecular Biology 190
  • Electrical and Electronic Engineering 158
  • Materials Chemistry 118
  • Biomaterials 110
Replace Haoting Chen with:
Haoting Chen China
Ganghao Liang China
Yeeun Lee South Korea
Kevin Schilling United States
Chuang Gao China
Norbert Löwa Germany
Nishanth Venugopal Menon Singapore
Azhar Ilyas United States
Ruoxi Yang China
Agnieszka Żuchowska Poland
Gaeun Kim relative to Haoting Chen China Haoting Chen's profile →
Citations per field
00.5×2.7×
Haoting Chen · 1×
Citations per year

Countries citing papers authored by Gaeun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Gaeun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaeun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Gaeun Kim. A scholar is included among the top collaborators of Gaeun Kim 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 Gaeun Kim. Gaeun Kim 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 1
2 0
3 0
4 5
5 2
6 11
7 1
8 3
9 1
10 17
11 5
12 10
13 6
14 6
15 4
16 83
17 47
18 3
19
A plan for the convergence education of dance curriculum according to free learning semester
1
20
An Analysis of Information Collection Networking for Namyangju U-City: A Case Study on the CCTV
1

About Gaeun Kim

Gaeun Kim is a scholar working on Biomaterials, Computer Graphics and Computer-Aided Design and Biomedical Engineering, having authored 35 papers that have together received 619 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (5 papers), RNA Interference and Gene Delivery (4 papers) and Nanoparticle-Based Drug Delivery (4 papers). The work is most often cited by research in Biomaterials (110 citations), Biomedical Engineering (324 citations) and Automotive Engineering (65 citations). Gaeun Kim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Hyung‐Jun Im, Jinyeong Choi, Su Bin Cho, Polly M. Fordyce, Wooseung Lee, Yichun Wang, Catherine Carswell-Crumpton, Sandy Klemm, Bianca Cruz and Lisa Nichols. Their work appears in journals such as ACS Nano, Chemistry of Materials and Analytical Chemistry.

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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