Hee‐Chul Ahn
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
- Molecular Biology top 10%
- DNA and Nucleic Acid Chemistry
- Protein Structure and Dynamics
- Ubiquitin and proteasome pathways
- Bioactive natural compounds
Papers in
-
- Protein Structure and Dynamics 17
- DNA and Nucleic Acid Chemistry 9
- Ubiquitin and proteasome pathways 5
- Protein Kinase Regulation and GTPase Signaling 3
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- Advanced NMR Techniques and Applications 7
- Co-authors
- Bong‐Jin Lee (13 shared papers)Joon‐Hwa Lee (8 shared papers)Sang‐Ho Park (2 shared papers)Byong‐Seok Choi (6 shared papers)Sunkyu Kim (1 shared paper)Byeong Jae Lee (1 shared paper)Kyeong Lee (5 shared papers)Eunice EunKyeong Kim (2 shared papers)
- Journals
- FEBS Letters (7 papers)Angewandte Chemie International Edition (4 papers)Journal of Biological Chemistry (4 papers)Biochemical and Biophysical Research Communications (4 papers)Bioorganic & Medicinal Chemistry Letters (3 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Hee‐Chul Ahn
71 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 85
- Microbiology 97
- Molecular Biology 608
- Cancer Research 77
- Toxicology 30
- Pharmacology 71
Countries citing papers authored by Hee‐Chul Ahn
This map shows the geographic impact of Hee‐Chul 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 Hee‐Chul Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hee‐Chul Ahn more than expected).
Fields of papers citing papers by Hee‐Chul Ahn
This network shows the impact of papers produced by Hee‐Chul 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 Hee‐Chul Ahn. The network helps show where Hee‐Chul Ahn may publish in the future.
Co-authors
The 25 scholars most cited alongside Hee‐Chul 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 106 | |
| 2 | 2001 | 89 | |
| 3 | 2009 | 58 | |
| 4 | 2008 | 53 | |
| 5 | 2001 | 48 | |
| 6 | 2013 | 43 | |
| 7 | 2014 | 40 | |
| 8 | 2019 | 38 | |
| 9 | 2013 | 36 | |
| 10 | 2014 | 35 | |
| 11 | 2016 | 32 | |
| 12 | 2012 | 31 | |
| 13 | 2018 | 31 | |
| 14 | 2003 | 30 | |
| 15 | 2020 | 30 | |
| 16 | 2006 | 28 | |
| 17 | 2021 | 27 | |
| 18 | 2017 | 26 | |
| 19 | 2010 | 25 | |
| 20 | 2015 | 23 |
About Hee‐Chul Ahn
Hee‐Chul Ahn is a scholar working on Molecular Biology, Spectroscopy, Cancer Research, Infectious Diseases and Computational Theory and Mathematics, having authored 71 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (17 papers), DNA and Nucleic Acid Chemistry (9 papers), Enzyme Structure and Function (9 papers), Advanced NMR Techniques and Applications (7 papers), Ubiquitin and proteasome pathways (5 papers), Computational Drug Discovery Methods (5 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Microbiology (97 citations), Molecular Biology (608 citations), Cancer Research (77 citations), Toxicology (30 citations) and Pharmacology (71 citations). Hee‐Chul Ahn has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Bong‐Jin Lee, Joon‐Hwa Lee, Sang‐Ho Park, Byong‐Seok Choi, Sunkyu Kim, Byeong Jae Lee, Kyeong Lee, Eunice EunKyeong Kim, John L. Markley and Youngmin Kang. Their work appears in journals such as FEBS Letters, Angewandte Chemie International Edition, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Bioorganic & Medicinal Chemistry Letters.
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.