TaeJin Ahn

1.4k total citations
58 papers, 965 citations indexed

About

TaeJin Ahn is a scholar working on Molecular Biology, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, TaeJin Ahn has authored 58 papers receiving a total of 965 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 11 papers in Artificial Intelligence and 8 papers in Civil and Structural Engineering. Recurrent topics in TaeJin Ahn's work include Gene expression and cancer classification (12 papers), Hydrology and Watershed Management Studies (7 papers) and Flood Risk Assessment and Management (6 papers). TaeJin Ahn is often cited by papers focused on Gene expression and cancer classification (12 papers), Hydrology and Watershed Management Studies (7 papers) and Flood Risk Assessment and Management (6 papers). TaeJin Ahn collaborates with scholars based in South Korea, India and United States. TaeJin Ahn's co-authors include Joon‐Hyun Park, Hong Gil Nam, Sung Aeong Oh, Kyung Min Chung, Sung Key Jang, Hye Ryun Woo, G. V. Loganathan, Taesung Park, Nam Huh and Eun-Jin Lee and has published in prestigious journals such as Bioinformatics, The Plant Cell and Cancer Research.

In The Last Decade

TaeJin Ahn

47 papers receiving 921 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
TaeJin Ahn South Korea 12 563 428 116 89 85 58 965
Hongyu Wang China 12 567 1.0× 538 1.3× 48 0.4× 39 0.4× 8 0.1× 44 976
Xingchao Liu China 14 171 0.3× 50 0.1× 45 0.4× 33 0.4× 10 0.1× 59 498
Xiaoyu Qu China 19 224 0.4× 68 0.2× 95 0.8× 20 0.2× 6 0.1× 59 810
Feng An China 17 319 0.6× 457 1.1× 16 0.1× 8 0.1× 14 0.2× 68 1.2k
Chang Wang China 17 355 0.6× 166 0.4× 184 1.6× 38 0.4× 10 0.1× 49 657
D. Wilkinson United Kingdom 18 286 0.5× 131 0.3× 148 1.3× 8 0.1× 6 0.1× 44 840
Haifeng Wang China 19 898 1.6× 1.3k 3.0× 102 0.9× 5 0.1× 84 1.0× 44 1.8k
Limin Yang United States 16 380 0.7× 24 0.1× 65 0.6× 17 0.2× 10 0.1× 60 828
Yuying Shen China 13 132 0.2× 44 0.1× 26 0.2× 27 0.3× 26 0.3× 58 588
Jianqing Zhang China 17 428 0.8× 313 0.7× 76 0.7× 5 0.1× 13 0.2× 52 1.1k

Countries citing papers authored by TaeJin Ahn

Since Specialization
Citations

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

Fields of papers citing papers by TaeJin Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of TaeJin Ahn

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

All Works

20 of 20 papers shown
1.
Han, Sohee, Eun‐Hee Kang, So‐Young Park, et al.. (2025). Transfer learning prediction of type 2 diabetes with unpaired clinical and genetic data. Scientific Reports. 15(1). 27695–27695. 1 indexed citations
2.
Park, Seung Joon, Hee Chan Yoo, Yulseung Sung, et al.. (2023). Enhanced Glutaminolysis Drives Hypoxia-Induced Chemoresistance in Pancreatic Cancer. Cancer Research. 83(5). 735–752. 34 indexed citations
3.
Kim, Kidong, Sarah Kim, TaeJin Ahn, et al.. (2023). A differential diagnosis between uterine leiomyoma and leiomyosarcoma using transcriptome analysis. BMC Cancer. 23(1). 1215–1215.
4.
Wang, Wenyu, Heeyeon Kim, Se Ik Kim, et al.. (2022). Integrated analysis of ascites and plasma extracellular vesicles identifies a miRNA-based diagnostic signature in ovarian cancer. Cancer Letters. 542. 215735–215735. 51 indexed citations
5.
Kim, Yujeong, et al.. (2022). Pirenperone relieves the symptoms of fragile X syndrome in Fmr1 knockout mice. Scientific Reports. 12(1). 20966–20966. 4 indexed citations
6.
Ahn, TaeJin, et al.. (2021). Classification and Functional Analysis between Cancer and Normal Tissues Using Explainable Pathway Deep Learning through RNA-Sequencing Gene Expression. International Journal of Molecular Sciences. 22(21). 11531–11531. 4 indexed citations
7.
Ahn, TaeJin, et al.. (2020). Deep learning-based classification and interpretation of gene expression data from cancer and normal tissues. International Journal of Data Mining and Bioinformatics. 24(2). 121–121. 2 indexed citations
8.
Son, Won‐Joon, Hyo Sug Lee, Gyutae Lim, et al.. (2019). A Deep Learning Model for Cell Growth Inhibition IC50 Prediction and Its Application for Gastric Cancer Patients. International Journal of Molecular Sciences. 20(24). 6276–6276. 34 indexed citations
9.
Oh, Junho, et al.. (2019). Sensitivity analysis of rock properties for CO 2 sequestration into heterogeneous saline aquifers. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
10.
Kim, Se Ik, et al.. (2018). Ovarian Cancer Prognostic Prediction Model Using RNA Sequencing Data. Genomics & Informatics. 16(4). e32–e32.
11.
Ahn, TaeJin, et al.. (2018). Storing Digital Information in Long-Read DNA. Genomics & Informatics. 16(4). e30–e30. 2 indexed citations
12.
Ahn, TaeJin & Taesung Park. (2014). Pathway-Driven Discovery of Rare Mutational Impact on Cancer. BioMed Research International. 2014. 1–10. 4 indexed citations
13.
Kim, Jin‐Seog, Insuk Sohn, Dae‐Soon Son, et al.. (2013). Prediction of a time-to-event trait using genome wide SNP data. BMC Bioinformatics. 14(1). 58–58. 3 indexed citations
14.
Kim, Do–Hyeon, et al.. (2010). Study on a Scheme to Increase Flood Reduction Effect of Washlands. UWA Profiles and Research Repository (University of Western Australia). 10(2). 123–133. 1 indexed citations
15.
Ahn, TaeJin, et al.. (2009). Analysis of Flood Reduction Effect of Washlands based on Variation of Rollway Characteristic. UWA Profiles and Research Repository (University of Western Australia). 9(1). 145–150. 2 indexed citations
16.
Ahn, TaeJin, et al.. (2009). Experimental Study on Determination of Infiltration Capacity of Ground Surface and Pervious Pedestrian Blocks. 9(2). 69–76.
17.
Ahn, TaeJin & Kwanghoon Choi. (2007). Determination of the Storage Constant for the Clark Model by based on the Observed Rainfall-Runoff Data. 1454–1458. 1 indexed citations
18.
Ahn, TaeJin, et al.. (2004). Evaluation of the Effective Storage of Existing Agricultural Reservoir. Journal of Korea Water Resources Association. 37(5). 353–361. 3 indexed citations
19.
Ahn, TaeJin & G. V. Loganathan. (1998). Pipe Network Optimization. 431–436.
20.
Hwang, Daehee, TaeJin Ahn, & Chonghun Han. (1997). Process Operation Improvement Methodology based on Statistical Data Analysis. 제어로봇시스템학회 국내학술대회 논문집. 2. 1516–1519.

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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