Su Cheong Yeom

924 total citations · 1 hit paper
33 papers, 669 citations indexed

About

Su Cheong Yeom is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Su Cheong Yeom has authored 33 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Oncology. Recurrent topics in Su Cheong Yeom's work include CRISPR and Genetic Engineering (10 papers), Virus-based gene therapy research (5 papers) and RNA Interference and Gene Delivery (5 papers). Su Cheong Yeom is often cited by papers focused on CRISPR and Genetic Engineering (10 papers), Virus-based gene therapy research (5 papers) and RNA Interference and Gene Delivery (5 papers). Su Cheong Yeom collaborates with scholars based in South Korea, Puerto Rico and United States. Su Cheong Yeom's co-authors include Ki Taek Nam, Xingshu Li, Gyoungmi Kim, Yoonji Lee, Nahyun Kwon, Yejin Cho, Sungsook Yu, Juyoung Yoon, Dayoung Lee and Jian‐Dong Huang and has published in prestigious journals such as Journal of the American Chemical Society, Nano Letters and PLoS ONE.

In The Last Decade

Su Cheong Yeom

32 papers receiving 666 citations

Hit Papers

In vivo delivery of CRISPR-Cas9 using lipid nanoparticles... 2022 2026 2023 2024 2022 40 80 120

Peers

Su Cheong Yeom
Comparison fields: 5 of 100
  • Molecular Biology 343
  • Biomedical Engineering 180
  • Materials Chemistry 129
  • Pulmonary and Respiratory Medicine 101
  • Genetics 86
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Anna Collén Sweden
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Sei Yonezawa Japan
Hyo Min Ahn South Korea
Sarah A. Buhrow United States
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Luyao Liu China View profile →
Citations per field, relative to Su Cheong Yeom
Su Cheong Yeom · 1×
Citations per year, relative to Su Cheong Yeom
Su Cheong Yeom · 1×

Countries citing papers authored by Su Cheong Yeom

Since Specialization
Citations

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

Fields of papers citing papers by Su Cheong Yeom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su Cheong Yeom. 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 Su Cheong Yeom. The network helps show where Su Cheong Yeom may publish in the future.

Co-authorship network of co-authors of Su Cheong Yeom

This figure shows the co-authorship network connecting the top 25 collaborators of Su Cheong Yeom. A scholar is included among the top collaborators of Su Cheong Yeom 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 Su Cheong Yeom. Su Cheong Yeom 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
# Work Indexed citations
1 0
2 3
3 3
4 26
5 13
6 15
7 9
8
In vivo delivery of CRISPR-Cas9 using lipid nanoparticles enables antithrombin gene editing for sustainable hemophilia A and B therapy breakdown →
130
9 13
10 12
11 9
12 2
13 6
14 15
15 41
16 14
17 19
18 6
19 4
20 10

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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