Kung Ahn

1.1k citations
41 papers · 497 · h-index 13

Impact in

    • Genomics and Phylogenetic Studies
    • CRISPR and Genetic Engineering
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • Molecular Biology Techniques and Applications
    • RNA modifications and cancer
    • Chromosomal and Genetic Variations

Papers in

    • Genomics and Phylogenetic Studies 8
    • RNA and protein synthesis mechanisms 8
    • CRISPR and Genetic Engineering 6
    • RNA Research and Splicing 4
    • Chromosomal and Genetic Variations 15

Kung Ahn

38 papers receiving 489 citations

Peers

Kung Ahn
Comparison fields: 5 of 82
  • Molecular Biology 374
  • Plant Science 195
  • Cancer Research 75
  • Genetics 120
  • Equine 5
Replace Peijing Jeremy Wang with:
Peijing Jeremy Wang United States
Bernard A. J. Roelen Netherlands
Kuang-Dong Wuu Taiwan
Yujun Han China
Christelle Robert United Kingdom
Sara R. Heras Spain
Zhenzhen Hou China
Haifeng Chen China
Kung Ahn relative to Peijing Jeremy Wang United States Peijing Jeremy Wang's profile →
Citations per field
00.5×1.5×
Peijing Jeremy Wang · 1×
Citations per year

Countries citing papers authored by Kung Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Kung Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kung Ahn, 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 Kung Ahn Line = papers co-authored together Kung Ahn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200873
2 201356
3 201443
4 200938
5 199126
6 201825
7 201222
8 201220
9 201816
10 201116
11 200813
12 200912
13 201112
14 201012
15 200812
16 200911
17 200811
18 199310
19 20149
20 20237

About Kung Ahn

Kung Ahn is a scholar working on Molecular Biology, Plant Science, Genetics, Cancer Research and Surgery, having authored 41 papers that have together received 497 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (15 papers), Genomics and Phylogenetic Studies (8 papers), RNA and protein synthesis mechanisms (8 papers), CRISPR and Genetic Engineering (6 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers), RNA Research and Splicing (4 papers) and Animal Genetics and Reproduction (4 papers). The work is most often cited by research in Molecular Biology (374 citations), Plant Science (195 citations), Cancer Research (75 citations), Genetics (120 citations) and Equine (5 citations). Kung Ahn has collaborated with scholars based in South Korea, Australia and United States. Frequent co-authors include Heui‐Soo Kim, Hongseok Ha, Dae‐Soo Kim, Ja-Rang Lee, Yoon-Ji Kim, Jae‐Won Huh, Kyudong Han, R.G. Wake, Jeong‐An Gim and Kyu‐Tae Chang. Their work appears in journals such as Gene, Molecules and Cells, Scientific Reports, Genes & Genetic Systems and Data in Brief.

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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