Jun Young Ahn

467 total citations
10 papers, 330 citations indexed

About

Jun Young Ahn is a scholar working on Biotechnology, Molecular Biology and Genetics. According to data from OpenAlex, Jun Young Ahn has authored 10 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Biotechnology, 2 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Jun Young Ahn's work include Cancer Research and Treatments (3 papers), Bacteriophages and microbial interactions (2 papers) and Glioma Diagnosis and Treatment (2 papers). Jun Young Ahn is often cited by papers focused on Cancer Research and Treatments (3 papers), Bacteriophages and microbial interactions (2 papers) and Glioma Diagnosis and Treatment (2 papers). Jun Young Ahn collaborates with scholars based in South Korea, United States and Germany. Jun Young Ahn's co-authors include Byung Chull An, Myung Jun Chung, Oksik Choi, Soon-Kyeong Kwon, Jihyun F. Kim, Juliya Kalinina, Hui Mao, Erwin G. Van Meir, Shaoxiong Wu and Miao He and has published in prestigious journals such as Nature Communications, Clinical Cancer Research and International Journal of Molecular Sciences.

In The Last Decade

Jun Young Ahn

9 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Young Ahn South Korea	7	173	75	60	57	39	10	330
Yanfei Chen China	13	217 1.3×	10 0.1×	7 0.1×	22 0.4×	14 0.4×	31	493
Xinyun Xu China	10	134 0.8×	6 0.1×	22 0.4×	75 1.3×	11 0.3×	18	389
Zhiwei Yu China	13	181 1.0×	6 0.1×	26 0.4×	52 0.9×	8 0.2×	27	395
Xiaoyu Wei China	10	272 1.6×	7 0.1×	16 0.3×	72 1.3×	11 0.3×	35	406
G. Mair United Kingdom	8	61 0.4×	43 0.6×	11 0.2×	34 0.6×	5 0.1×	11	310
Zhitong Deng China	12	199 1.2×	23 0.3×	12 0.2×	77 1.4×	6 0.2×	21	349
Nagib Ahsan United States	10	195 1.1×	26 0.3×	3 0.1×	31 0.5×	4 0.1×	16	494
Ran Zhou China	14	286 1.7×	47 0.6×	8 0.1×	141 2.5×	4 0.1×	36	763
Rhiannon David United Kingdom	12	198 1.1×	17 0.2×	10 0.2×	87 1.5×	6 0.2×	24	434
Hai Liao China	13	166 1.0×	42 0.6×	8 0.1×	15 0.3×	12 0.3×	37	562

Countries citing papers authored by Jun Young Ahn

Since Specialization

Citations

This map shows the geographic impact of Jun Young 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 Jun Young Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Young Ahn more than expected).

Fields of papers citing papers by Jun Young Ahn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Young 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 Jun Young Ahn. The network helps show where Jun Young Ahn may publish in the future.

Co-authorship network of co-authors of Jun Young Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Young Ahn. A scholar is included among the top collaborators of Jun Young 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 Jun Young Ahn. Jun Young Ahn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Chen, Chih‐Yu, Kristal Maner-Smith, Jun Young Ahn, et al.. (2025). Integrative brain omics approach highlights sn-1 lysophosphatidylethanolamine in Alzheimer’s dementia. Nature Communications. 16(1). 9627–9627.

An, Byung Chull, et al.. (2024). Identification of Bioactive Substances Derived from the Probiotic-Induced Bioconversion of Lagerstroemia speciosa Pers. Leaf Extract That Have Beneficial Effects on Diabetes and Obesity. Microorganisms. 12(9). 1848–1848. 2 indexed citations

An, Byung Chull, et al.. (2023). Anti-Cancer Roles of Probiotic-Derived P8 Protein in Colorectal Cancer Cell Line DLD-1. International Journal of Molecular Sciences. 24(12). 9857–9857. 10 indexed citations

An, Byung Chull, et al.. (2021). Toxicological Evaluation of a Probiotic-Based Delivery System for P8 Protein as an Anti-Colorectal Cancer Drug. Drug Design Development and Therapy. Volume 15. 4761–4793. 6 indexed citations

Kim, Sea Jin, et al.. (2021). Analysis of Developmental Chronology of South Korean Compressed Growth as a Reference from Sustainable Development Perspectives. Sustainability. 13(4). 1905–1905. 4 indexed citations

An, Byung Chull, Oksik Choi, Jun Young Ahn, et al.. (2021). A synthetic probiotic engineered for colorectal cancer therapy modulates gut microbiota. Microbiome. 9(1). 122–122. 125 indexed citations

An, Byung Chull, et al.. (2019). Anti-Colorectal Cancer Effects of Probiotic-Derived p8 Protein. Genes. 10(8). 624–624. 33 indexed citations

Park, Seung-Myung, Inho Song, Jong Sung Park, et al.. (2018). Variation of PM2.5 Chemical Compositions and their Contributions to Light Extinction in Seoul. Aerosol and Air Quality Research. 18(9). 2220–2229. 31 indexed citations

Kalinina, Juliya, Jun Young Ahn, Narra S. Devi, et al.. (2016). Selective Detection of the D-enantiomer of 2-Hydroxyglutarate in the CSF of Glioma Patients with Mutated Isocitrate Dehydrogenase. Clinical Cancer Research. 22(24). 6256–6265. 52 indexed citations

10.

Kalinina, Juliya, Anne Carroll, Liya Wang, et al.. (2012). Detection of “oncometabolite” 2-hydroxyglutarate by magnetic resonance analysis as a biomarker of IDH1/2 mutations in glioma. Journal of Molecular Medicine. 90(10). 1161–1171. 67 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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