Jae‐Woo Ahn
Impact in
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- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Cancer-related gene regulation
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- Microbial Metabolic Engineering and Bioproduction
Papers in
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- Microbial Metabolic Engineering and Bioproduction 6
- Genomics and Chromatin Dynamics 5
- Epigenetics and DNA Methylation 4
- RNA and protein synthesis mechanisms 4
- Ubiquitin and proteasome pathways 3
- RNA Research and Splicing 3
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- Enzyme Structure and Function 12
- Co-authors
- Kyung‐Jin Kim (13 shared papers)Tatiana G. Kutateladze (7 shared papers)Yi Zhang (6 shared papers)Xiaobing Shi (4 shared papers)Brianna J. Klein (3 shared papers)Eunjung Kim (3 shared papers)Wenyi Mi (2 shared papers)Jeong Ho Chang (4 shared papers)
- Journals
- Nature Communications (3 papers)Cell Reports (2 papers)Biochemical and Biophysical Research Communications (2 papers)Structure (2 papers)International Journal of Biological Macromolecules (2 papers)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Jae‐Woo Ahn
29 papers receiving 579 citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 419
- Dermatology 28
- Immunology 63
- Epidemiology 78
- Biochemistry 18
Countries citing papers authored by Jae‐Woo Ahn
This map shows the geographic impact of Jae‐Woo 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 Jae‐Woo Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae‐Woo Ahn more than expected).
Fields of papers citing papers by Jae‐Woo Ahn
This network shows the impact of papers produced by Jae‐Woo 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 Jae‐Woo Ahn. The network helps show where Jae‐Woo Ahn may publish in the future.
Co-authors
The 25 scholars most cited alongside Jae‐Woo 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
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 79 | |
| 2 | 2017 | 69 | |
| 3 | 2018 | 61 | |
| 4 | 2015 | 57 | |
| 5 | 2015 | 53 | |
| 6 | 2017 | 42 | |
| 7 | 2019 | 38 | |
| 8 | 2016 | 35 | |
| 9 | 2014 | 22 | |
| 10 | 2015 | 16 | |
| 11 | 2019 | 13 | |
| 12 | 2010 | 13 | |
| 13 | 2024 | 13 | |
| 14 | 2011 | 9 | |
| 15 | 2010 | 9 | |
| 16 | 2015 | 9 | |
| 17 | 2014 | 9 | |
| 18 | 2024 | 7 | |
| 19 | 2020 | 7 | |
| 20 | 1993 | 6 |
About Jae‐Woo Ahn
Jae‐Woo Ahn is a scholar working on Molecular Biology, Materials Chemistry, Epidemiology, Biotechnology and Immunology, having authored 34 papers that have together received 587 indexed citations. Recurring topics across this work include Enzyme Structure and Function (12 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (4 papers), RNA and protein synthesis mechanisms (4 papers), Enzyme Production and Characterization (4 papers), Ubiquitin and proteasome pathways (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Molecular Biology (419 citations), Dermatology (28 citations), Immunology (63 citations), Epidemiology (78 citations) and Biochemistry (18 citations). Jae‐Woo Ahn has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Kyung‐Jin Kim, Tatiana G. Kutateladze, Yi Zhang, Xiaobing Shi, Brianna J. Klein, Eunjung Kim, Wenyi Mi, Jeong Ho Chang, Xiaolu Wang and Yeon‐Gil Kim. Their work appears in journals such as Nature Communications, Cell Reports, Biochemical and Biophysical Research Communications, Structure and International Journal of Biological Macromolecules.
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.