Dae‐gwon Ahn
Impact in
- Developmental Biology top 10%
-
- Zebrafish Biomedical Research Applications
- Hippo pathway signaling and YAP/TAZ
Papers in
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- Congenital heart defects research 5
- Developmental Biology and Gene Regulation 3
- Genetics 4
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 2
- Genetic and phenotypic traits in livestock 1
- Co-authors
- Robert K. Ho (3 shared papers)Lee M. Silver (1 shared paper)Matthew J. Kourakis (1 shared paper)Laurel A. Rohde (1 shared paper)Greg Gibson (1 shared paper)Cheol‐Hee Kim (3 shared papers)Kwan‐Hee You (1 shared paper)Hyun-Taek Kim (2 shared papers)
- Journals
- Developmental Biology (2 papers)Evolution & Development (1 paper)Nature (1 paper)Molecular Biology and Evolution (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- United StatesSouth KoreaGrenada
In The Last Decade
Dae‐gwon Ahn
8 papers receiving 346 citations
Peers
Comparison fields: 5 of 54
- Developmental Biology 16
- Cell Biology 98
- Molecular Biology 290
- Genetics 101
- Paleontology 23
Countries citing papers authored by Dae‐gwon Ahn
This map shows the geographic impact of Dae‐gwon 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 Dae‐gwon Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dae‐gwon Ahn more than expected).
Fields of papers citing papers by Dae‐gwon Ahn
This network shows the impact of papers produced by Dae‐gwon 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 Dae‐gwon Ahn. The network helps show where Dae‐gwon Ahn may publish in the future.
Co-authors
The 18 scholars most cited alongside Dae‐gwon Ahn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 179 | |
| 2 | 2008 | 101 | |
| 3 | 1999 | 25 | |
| 4 | 2012 | 20 | |
| 5 | 2011 | 18 | |
| 6 | 2011 | 5 | |
| 7 | Factors controlling axial variation in the threespine stickleback, Gasterosteus aculeatus (Teleostei: Gasterosteidae): Pattern of natural variation and genetic/developmental mechanisms. | 1998 | 5 |
| 8 | 2006 | 1 |
About Dae‐gwon Ahn
Dae‐gwon Ahn is a scholar working on Molecular Biology, Genetics, Nature and Landscape Conservation, Cell Biology and Cancer Research, having authored 8 papers that have together received 354 indexed citations. Recurring topics across this work include Congenital heart defects research (5 papers), Developmental Biology and Gene Regulation (3 papers), MicroRNA in disease regulation (2 papers), Fish Ecology and Management Studies (2 papers), Zebrafish Biomedical Research Applications (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Genetic and phenotypic traits in livestock (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Developmental Biology (16 citations), Cell Biology (98 citations), Molecular Biology (290 citations), Genetics (101 citations) and Paleontology (23 citations). Dae‐gwon Ahn has collaborated with scholars based in United States, South Korea and Grenada. Frequent co-authors include Robert K. Ho, Lee M. Silver, Matthew J. Kourakis, Laurel A. Rohde, Greg Gibson, Cheol‐Hee Kim, Kwan‐Hee You, Hyun-Taek Kim, Juyeon Jung and Dong‐Kug Choi. Their work appears in journals such as Developmental Biology, Evolution & Development, Nature, Molecular Biology and Evolution and Biochemical and Biophysical Research Communications.
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.