Sung-Hyun Kim

1.7k citations
26 papers · 1.3k indexed · 1 hit paper · h-index 17
Topics
CRISPR and Genetic Engineering (3 papers)RNA modifications and cancer (3 papers)Ubiquitin and proteasome pathways (2 papers)

In The Last Decade

Sung-Hyun Kim

24 papers receiving 1.3k citations

Hit Papers

Bioengineered Bacterial Outer Membrane Vesicles as Cell-S...20142026201820222014100200300400

Peers

Sung-Hyun Kim
Comparison fields: 5 of 102
  • Molecular Biology 766
  • Biomedical Engineering 192
  • Microbiology 188
  • Plant Science 177
  • Cancer Research 111
Replace Xinying Jia with:
Xinying Jia Australia
Yeji Lee South Korea
Giorgio Fassina Italy
Alessandra Romanelli Italy
Todd Shelper Australia
Walter Schmidt Austria
Giridhar R. Akkaraju United States
Barbara Richichi Italy
Gisela Lättig-Tünnemann Germany
Xuefei Li China
Sung-Hyun Kim relative to Xinying Jia Australia Xinying Jia's profile →
Citations per field
00.5×2.8×
Xinying Jia · 1×
Citations per year

Countries citing papers authored by Sung-Hyun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sung-Hyun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sung-Hyun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sung-Hyun Kim. A scholar is included among the top collaborators of Sung-Hyun 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 Sung-Hyun Kim. Sung-Hyun 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 0
2 17
3 18
4 17
5 19
6 16
7 11
8 51
9 79
10 0
11 19
12 2
13 144
14 74
15 6
16 10
17 117
18 15
19 88
20 113

About Sung-Hyun Kim

Sung-Hyun Kim is a scholar working on Immunology and Allergy, Oral Surgery and Geriatrics and Gerontology, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), RNA modifications and cancer (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Microbiology (188 citations), Molecular Biology (766 citations) and Biotechnology (86 citations). Sung-Hyun Kim has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Sangyong Jon, Sang‐Hyun Kim, Jung Joon Min, Vipul Gujrati, Hyon E. Choy, Zigang Dong, Ann M. Bode, Myoung Ok Kim, Gynheung An and Seong‐Ryong Kim. Their work appears in journals such as Proceedings of the National Academy of Sciences, 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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