Taegeun Bae

692 total citations · 1 hit paper
15 papers, 415 citations indexed

About

Taegeun Bae is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Taegeun Bae has authored 15 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Taegeun Bae's work include CRISPR and Genetic Engineering (9 papers), Virus-based gene therapy research (3 papers) and Genomics, phytochemicals, and oxidative stress (3 papers). Taegeun Bae is often cited by papers focused on CRISPR and Genetic Engineering (9 papers), Virus-based gene therapy research (3 papers) and Genomics, phytochemicals, and oxidative stress (3 papers). Taegeun Bae collaborates with scholars based in South Korea, United States and Netherlands. Taegeun Bae's co-authors include Mi‐Kyoung Kwak, Steffanus Pranoto Hallis, Jin‐Soo Kim, Jae‐Woong Hwang, Junho K. Hur, Sojung Kim, Seung Hwan Lee, Chirlmin Joo, Junseok W. Hur and Dokyoung Kim and has published in prestigious journals such as The EMBO Journal, Free Radical Biology and Medicine and Small.

In The Last Decade

Taegeun Bae

15 papers receiving 407 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Hypoxia, oxidative stress, and the interplay of HIFs and NRF2 signaling in cancer

2024 111 citations Taegeun Bae, Steffanus Pranoto Hallis et al. Experimental & Molecular Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Taegeun Bae South Korea	10	286	55	50	48	46	15	415
Elena Jamali Iran	11	356 1.2×	43 0.8×	19 0.4×	38 0.8×	229 5.0×	54	510
Pablo Reyes‐Gutierrez United States	8	534 1.9×	58 1.1×	10 0.2×	14 0.3×	50 1.1×	10	627
Shang‐Min Zhang United States	8	276 1.0×	35 0.6×	7 0.1×	45 0.9×	40 0.9×	10	360
Charles Ashton United States	10	240 0.8×	75 1.4×	8 0.2×	89 1.9×	32 0.7×	11	441
Zhiying Ai China	11	328 1.1×	27 0.5×	22 0.4×	37 0.8×	145 3.2×	23	461
Seok‐Beom Yong South Korea	11	285 1.0×	37 0.7×	9 0.2×	16 0.3×	45 1.0×	17	468
Amber Wilson United States	9	267 0.9×	25 0.5×	27 0.5×	61 1.3×	70 1.5×	11	404
Haribaskar Ramachandran Germany	13	327 1.1×	178 3.2×	24 0.5×	21 0.4×	11 0.2×	25	442
Kevin Morrow United States	8	77 0.3×	33 0.6×	36 0.7×	63 1.3×	54 1.2×	14	297
Federica Scalia Italy	10	262 0.9×	22 0.4×	18 0.4×	22 0.5×	80 1.7×	27	387

Countries citing papers authored by Taegeun Bae

Since Specialization

Citations

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

Fields of papers citing papers by Taegeun Bae

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taegeun Bae

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

All Works

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15 of 15 papers shown

Bae, Taegeun & Mi‐Kyoung Kwak. (2024). Kelch-like ECH-associated Protein 1/Nuclear Factor Erythroid 2-related Factor 2 Pathway and Its Interplay with Oncogenes in Lung Tumorigenesis. Journal of Cancer Prevention. 29(4). 89–98. 6 indexed citations

Bae, Taegeun, Steffanus Pranoto Hallis, & Mi‐Kyoung Kwak. (2024). Hypoxia, oxidative stress, and the interplay of HIFs and NRF2 signaling in cancer. Experimental & Molecular Medicine. 56(3). 501–514. 111 indexed citations breakdown →

Bae, Taegeun, et al.. (2024). Renal microRNA-144-3p is associated with transforming growth factor-β1-induced oxidative stress and fibrosis by suppressing the NRF2 pathway in hypertensive diabetic kidney disease. Free Radical Biology and Medicine. 225. 546–559. 4 indexed citations

Schubert, Rajib, Taegeun Bae, Sheena N. Smith, et al.. (2023). CRISPR-clear imaging of melanin-rich B16-derived solid tumors. Communications Biology. 6(1). 370–370. 2 indexed citations

Kim, Heon Seok, Gue‐Ho Hwang, Taegeun Bae, et al.. (2021). CReVIS-Seq: A highly accurate and multiplexable method for genome-wide mapping of lentiviral integration sites. Molecular Therapy — Methods & Clinical Development. 20. 792–800. 17 indexed citations

Choi, Jaehoon, Taegeun Bae, Seong-Ho Park, et al.. (2020). CRISPR-Cpf1 Activation of Endogenous BMP4 Gene for Osteogenic Differentiation of Umbilical-Cord-Derived Mesenchymal Stem Cells. Molecular Therapy — Methods & Clinical Development. 17. 309–316. 22 indexed citations

Kim, Seung Hyun L., Seunghun S. Lee, Inseon Kim, et al.. (2020). Ectopic transient overexpression of OCT-4 facilitates BMP4-induced osteogenic transdifferentiation of human umbilical vein endothelial cells. Journal of Tissue Engineering. 11. 2752638616–2752638616. 15 indexed citations

Bae, Taegeun, Hanseop Kim, Jeong Hee Kim, et al.. (2019). Specificity Assessment of CRISPR Genome Editing of Oncogenic EGFR Point Mutation with Single-Base Differences. Molecules. 25(1). 52–52. 5 indexed citations

Bae, Taegeun, Junseok W. Hur, Dokyoung Kim, & Junho K. Hur. (2019). Recent trends in CRISPR-Cas system: genome, epigenome, and transcriptome editing and CRISPR delivery systems. Genes & Genomics. 41(8). 871–877. 16 indexed citations

10.

Kwak, Minsuk, et al.. (2019). Lipopeptide‐Based Nanosome‐Mediated Delivery of Hyperaccurate CRISPR/Cas9 Ribonucleoprotein for Gene Editing. Small. 15(46). e1903172–e1903172. 18 indexed citations

11.

Kwon, Woo‐Keun, Taegeun Bae, Sung‐Hyun Kim, et al.. (2019). CCN5 Reduces Ligamentum Flavum Hypertrophy by Modulating the TGF‐β Pathway. Journal of Orthopaedic Research®. 37(12). 2634–2644. 18 indexed citations

12.

Bae, Taegeun, et al.. (2019). Characterization of distinct mutation patterns by CRISPR-Cas9 and CRISPR-Cpf1 genome editing systems. Molecular & Cellular Toxicology. 15(4). 383–389. 1 indexed citations

13.

Lee, Seung Hwan, et al.. (2018). CRISPR /Cas9 searches for a protospacer adjacent motif by lateral diffusion. The EMBO Journal. 38(4). 75 indexed citations

14.

Hur, Junseok W., Taegeun Bae, Joo-Hyun Kim, et al.. (2017). Myofibroblast in the ligamentum flavum hypertrophic activity. European Spine Journal. 26(8). 2021–2030. 36 indexed citations

15.

Kim, Sojung, Taegeun Bae, Jae‐Woong Hwang, & Jin‐Soo Kim. (2017). Rescue of high-specificity Cas9 variants using sgRNAs with matched 5’ nucleotides. Genome biology. 18(1). 218–218. 69 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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