Joon‐Ik Ahn
Impact in
- Toxicology top 10%
- Forensic Toxicology and Drug Analysis
Papers in
-
- Pluripotent Stem Cells Research 2
- Receptor Mechanisms and Signaling 2
-
- Liver Disease Diagnosis and Treatment 3
- Co-authors
- Ki-Hwan Lee (7 shared papers)Sujong Kim (1 shared paper)Yong Sung Lee (1 shared paper)Insuk Sohn (1 shared paper)Yeon Sook Lee (1 shared paper)Yong‐Sung Lee (9 shared papers)Dong‐Mi Shin (4 shared papers)Yeon-Sook Lee (1 shared paper)
- Journals
- Toxicology and Applied Pharmacology (2 papers)Cancer Research and Treatment (2 papers)Journal of Cellular Biochemistry (1 paper)Biochemical and Biophysical Research Communications (1 paper)Gene (1 paper)
- Partner nations
- South KoreaUnited StatesNetherlands
In The Last Decade
Joon‐Ik Ahn
19 papers receiving 560 citations
Peers
Comparison fields: 5 of 85
- Toxicology 33
- Developmental Neuroscience 25
- Molecular Biology 297
- Pharmacology 34
- Hepatology 26
Countries citing papers authored by Joon‐Ik Ahn
This map shows the geographic impact of Joon‐Ik 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 Joon‐Ik Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joon‐Ik Ahn more than expected).
Fields of papers citing papers by Joon‐Ik Ahn
This network shows the impact of papers produced by Joon‐Ik 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 Joon‐Ik Ahn. The network helps show where Joon‐Ik Ahn may publish in the future.
Co-authors
The 25 scholars most cited alongside Joon‐Ik 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 | 2004 | 226 | |
| 2 | 2002 | 81 | |
| 3 | 2004 | 59 | |
| 4 | 2003 | 42 | |
| 5 | 2004 | 37 | |
| 6 | 2014 | 36 | |
| 7 | 2004 | 24 | |
| 8 | 2005 | 22 | |
| 9 | 2010 | 11 | |
| 10 | 2004 | 11 | |
| 11 | 2003 | 9 | |
| 12 | 2010 | 5 | |
| 13 | 2015 | 5 | |
| 14 | 2014 | 3 | |
| 15 | 2010 | 3 | |
| 16 | 2005 | 3 | |
| 17 | 2016 | 2 | |
| 18 | 2008 | 1 | |
| 19 | 2010 | 1 |
About Joon‐Ik Ahn
Joon‐Ik Ahn is a scholar working on Molecular Biology, Epidemiology, Pharmacology, Nutrition and Dietetics and Cancer Research, having authored 19 papers that have together received 581 indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Pluripotent Stem Cells Research (2 papers), Liver physiology and pathology (2 papers), Computational Drug Discovery Methods (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Toxicology (33 citations), Developmental Neuroscience (25 citations), Molecular Biology (297 citations), Pharmacology (34 citations) and Hepatology (26 citations). Joon‐Ik Ahn has collaborated with scholars based in South Korea, United States and Netherlands. Frequent co-authors include Ki-Hwan Lee, Sujong Kim, Yong Sung Lee, Insuk Sohn, Yeon Sook Lee, Yong‐Sung Lee, Dong‐Mi Shin, Yeon-Sook Lee, Sung Soo Jung and Mi‐Yoon Chang. Their work appears in journals such as Toxicology and Applied Pharmacology, Cancer Research and Treatment, Journal of Cellular Biochemistry, Biochemical and Biophysical Research Communications and Gene.
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.