Sun‐Ku Chung

419 citations
27 papers · 328 · h-index 11

Impact in

Papers in

    • CRISPR and Genetic Engineering 9
    • Pluripotent Stem Cells Research 9
    • Plant tissue culture and regeneration 3
    • Molecular Biology Techniques and Applications 3
    • RNA Interference and Gene Delivery 2
    • Cancer-related Molecular Pathways 4

Sun‐Ku Chung

26 papers receiving 324 citations

Peers

Sun‐Ku Chung
Comparison fields: 5 of 63
  • Geriatrics and Gerontology 27
  • Aging 9
  • Developmental Neuroscience 16
  • Molecular Biology 214
  • Genetics 19
Replace Renuka Prasad with:
Renuka Prasad South Korea
Keyi Geng China
Marc Giry-Laterrière Australia
Daniela Piga Italy
Dong-Keun Lee South Korea
Ilias Gkikas Greece
Ryousuke Fujita Japan
Gautam Runwal United Kingdom
Sun‐Ku Chung relative to Renuka Prasad South Korea Renuka Prasad's profile →
Citations per field
00.5×10×15×20×24×
Renuka Prasad · 1×
Citations per year

Countries citing papers authored by Sun‐Ku Chung

Since Specialization
Citations

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

Fields of papers citing papers by Sun‐Ku Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun‐Ku Chung. 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 Sun‐Ku Chung. The network helps show where Sun‐Ku Chung may publish in the future.

Co-authors

The 25 scholars most cited alongside Sun‐Ku Chung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sun‐Ku Chung Line = papers co-authored together Sun‐Ku Chung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201397
2 202029
3 201621
4 201819
5 202015
6 202013
7 200713
8 201413
9 201610
10 202210
11 201410
12 20229
13 20198
14 20208
15 20207
16 20177
17 20116
18 20196
19 20176
20 20186

About Sun‐Ku Chung

Sun‐Ku Chung is a scholar working on Molecular Biology, Oncology, Genetics, Cellular and Molecular Neuroscience and Neurology, having authored 27 papers that have together received 328 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (9 papers), Pluripotent Stem Cells Research (9 papers), Cancer-related Molecular Pathways (4 papers), Plant tissue culture and regeneration (3 papers), Molecular Biology Techniques and Applications (3 papers), Animal Genetics and Reproduction (2 papers), RNA Interference and Gene Delivery (2 papers) and Nuclear Receptors and Signaling (2 papers). The work is most often cited by research in Geriatrics and Gerontology (27 citations), Aging (9 citations), Developmental Neuroscience (16 citations), Molecular Biology (214 citations) and Genetics (19 citations). Sun‐Ku Chung has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Yang Xu, Zhen‐Ning Zhang, Zheng Xu, Seoyoung Lee, Aeyung Kim, Bu‐Yeo Kim, Seo‐Young Lee, Seoyoung Lee, Janghwan Kim and Sangkyun Jeong. Their work appears in journals such as Scientific Reports, Frontiers in Cell and Developmental Biology, Nutrients, Phytomedicine and International Journal of Molecular Sciences.

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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