Joon‐Ik Ahn

663 total citations
19 papers, 569 citations indexed

About

Joon‐Ik Ahn is a scholar working on Molecular Biology, Epidemiology and Pharmacology. According to data from OpenAlex, Joon‐Ik Ahn has authored 19 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Pharmacology. Recurrent topics in Joon‐Ik Ahn's work include Drug-Induced Hepatotoxicity and Protection (4 papers), Liver Disease Diagnosis and Treatment (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). Joon‐Ik Ahn is often cited by papers focused on Drug-Induced Hepatotoxicity and Protection (4 papers), Liver Disease Diagnosis and Treatment (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). Joon‐Ik Ahn collaborates with scholars based in South Korea, Netherlands and United States. Joon‐Ik Ahn's co-authors include Ki-Hwan Lee, Insuk Sohn, Sujong Kim, Yong Sung Lee, Yeon Sook Lee, Yong‐Sung Lee, Dong‐Mi Shin, Yeon-Sook Lee, Mi‐Yoon Chang and Sung Soo Jung and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Developmental Biology and Gene.

In The Last Decade

Joon‐Ik Ahn

19 papers receiving 550 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joon‐Ik Ahn South Korea 10 314 111 100 55 48 19 569
Beáta Lizák Hungary 11 344 1.1× 111 1.0× 69 0.7× 40 0.7× 32 0.7× 16 695
Mohamed Samir Ahmed Zaki Saudi Arabia 15 230 0.7× 69 0.6× 110 1.1× 67 1.2× 62 1.3× 62 664
Amy K. Hauck United States 6 244 0.8× 89 0.8× 133 1.3× 52 0.9× 44 0.9× 9 526
Hojung Choi South Korea 14 291 0.9× 102 0.9× 115 1.1× 33 0.6× 81 1.7× 33 549
Emmanuelle Plée‐Gautier France 13 172 0.5× 64 0.6× 189 1.9× 46 0.8× 28 0.6× 22 711
Maja Klapper Germany 15 465 1.5× 73 0.7× 124 1.2× 50 0.9× 76 1.6× 29 697
Namrata Chaudhari Sweden 7 257 0.8× 126 1.1× 65 0.7× 36 0.7× 25 0.5× 10 596
Mourad Errasfa Morocco 12 312 1.0× 42 0.4× 74 0.7× 62 1.1× 26 0.5× 28 569
Adam Lister United Kingdom 12 378 1.2× 85 0.8× 49 0.5× 33 0.6× 29 0.6× 18 650
Mu Yang China 15 266 0.8× 66 0.6× 101 1.0× 45 0.8× 48 1.0× 36 677

Countries citing papers authored by Joon‐Ik Ahn

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Joon‐Ik Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Joon‐Ik Ahn. A scholar is included among the top collaborators of Joon‐Ik Ahn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joon‐Ik Ahn. Joon‐Ik Ahn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Jin, Hye, Joon‐Ik Ahn, Hoil Kang, et al.. (2016). Comparison of gene expression profiles in drug-withdrawn rats. Molecular & Cellular Toxicology. 12(2). 197–207. 2 indexed citations
2.
Jin, Hye, Joon‐Ik Ahn, Eun Jung Kim, et al.. (2015). Identification of modulated mRNAs and proteins in human primary hepatocytes treated with non-steroidal anti-inflammatory drugs. Molecular & Cellular Toxicology. 11(3). 335–342. 5 indexed citations
3.
Jang, In Keun, Jong Eun Lee, Mal Sook Yang, et al.. (2014). Quality and Availability Evaluation of Human Hepatocytes Isolated from Resected Partial Livers for Toxicology and Drug Metabolism Studies in Korea. KSBB Journal. 29(1). 58–66. 3 indexed citations
4.
Jin, Hye, Ji-Young Hwang, Choon‐Gon Jang, et al.. (2014). Dependence Potential of the Synthetic Cannabinoids JWH-073, JWH-081, and JWH-210: In Vivo and In Vitro Approaches. Biomolecules & Therapeutics. 22(4). 363–369. 36 indexed citations
5.
Ahn, Joon‐Ik, et al.. (2010). Gene Expression Analysis for Statin-induced Cytotoxicity from Rat Primary Hepatocytes. Genomics & Informatics. 8(1). 41–49. 3 indexed citations
6.
Ahn, Joon‐Ik, et al.. (2010). Effects of Mercuric Chloride on Gene Expression in NRK-52E Cells. Genomics & Informatics. 8(1). 50–57. 1 indexed citations
7.
Ahn, Joon‐Ik, et al.. (2010). Changes of miRNA and mRNA expression in HepG2 cells treated by epigallocatechin gallate. Molecular & Cellular Toxicology. 6(2). 169–177. 11 indexed citations
8.
Jin, Hye, et al.. (2010). Identification of classifier genes for hepatotoxicity prediction in non steroidal anti inflammatory drugs. Molecular & Cellular Toxicology. 6(3). 247–253. 5 indexed citations
9.
Choi, Hyosung, et al.. (2008). Gene Expression Profiling in C57BL/6 Mice Treated with the Anorectic Drugs Sibutramine and Phendimetrazine and Their Mechanistic Implications. Genomics & Informatics. 6(3). 117–125. 1 indexed citations
10.
Chung, Heekyoung, Hyun‐Jun Kim, Kiseok Jang, et al.. (2005). Differential gene expression profiles in the steatosis/fibrosis model of rat liver by chronic administration of carbon tetrachloride. Toxicology and Applied Pharmacology. 208(3). 242–254. 20 indexed citations
11.
Lee, Ki-Hwan, et al.. (2005). cDNA Microarray Analysis of Differential Gene Expression in Gastric Cancer Cells Sensitive and Resistant to 5-Fluorouracil and Cisplatin. Cancer Research and Treatment. 37(1). 54–54. 3 indexed citations
12.
Kim, Sujong, Insuk Sohn, Joon‐Ik Ahn, et al.. (2004). Hepatic gene expression profiles in a long-term high-fat diet-induced obesity mouse model. Gene. 340(1). 99–109. 224 indexed citations
13.
Ahn, Joon‐Ik, Dong‐Mi Shin, Jaewon Shim, et al.. (2004). Temporal expression changes during differentiation of neural stem cells derived from mouse embryonic stem cell. Journal of Cellular Biochemistry. 93(3). 563–578. 24 indexed citations
14.
Chung, Heekyoung, Ji‐Youn Jung, Hyun‐Jun Kim, et al.. (2004). Comprehensive analysis of differential gene expression profiles on carbon tetrachloride-induced rat liver injury and regeneration. Toxicology and Applied Pharmacology. 206(1). 27–42. 36 indexed citations
15.
Shin, Dong‐Mi, Joon‐Ik Ahn, Ki-Hwan Lee, Yong‐Sung Lee, & Yeon-Sook Lee. (2004). Ascorbic acid responsive genes during neuronal differentiation of embryonic stem cells. Neuroreport. 15(12). 1959–1963. 55 indexed citations
16.
Lee, Ki-Hwan, et al.. (2004). The Differential Gene Expression Profiles between Sensitive and Resistant Breast Cancer Cells to Adriamycin by cDNA Microarray. Cancer Research and Treatment. 36(1). 43–43. 11 indexed citations
17.
Ahn, Joon‐Ik, Ki-Hwan Lee, Dong‐Mi Shin, et al.. (2003). Comprehensive transcriptome analysis of differentiation of embryonic stem cells into midbrain and hindbrain neurons. Developmental Biology. 265(2). 491–501. 39 indexed citations
18.
Lee, Ki-Hwan, et al.. (2003). Dextromethorphan alters gene expression in rat brain hippocampus and cortex. International Journal of Molecular Medicine. 9 indexed citations
19.
Lee, Ki-Hwan, Mi‐Yoon Chang, Joon‐Ik Ahn, et al.. (2002). Differential gene expression in retinoic acid-induced differentiation of acute promyelocytic leukemia cells, NB4 and HL-60 cells. Biochemical and Biophysical Research Communications. 296(5). 1125–1133. 81 indexed citations

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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