Jeong Tae

6.6k total citations · 1 hit paper
140 papers, 4.4k citations indexed

About

Jeong Tae is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jeong Tae has authored 140 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Molecular Biology, 28 papers in Genetics and 19 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jeong Tae's work include Pluripotent Stem Cells Research (84 papers), CRISPR and Genetic Engineering (60 papers) and Renal and related cancers (26 papers). Jeong Tae is often cited by papers focused on Pluripotent Stem Cells Research (84 papers), CRISPR and Genetic Engineering (60 papers) and Renal and related cancers (26 papers). Jeong Tae collaborates with scholars based in South Korea, Germany and United States. Jeong Tae's co-authors include Hans R. Schöler, Sheng Ding, Caroline Desponts, Heung Sik Hahm, Yan Shi, Sang Hoon Yoon, Jin‐Hoi Kim, Bong Jong Seo, Yean Ju Hong and Woo Yong Shin and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Jeong Tae

132 papers receiving 4.3k citations

Hit Papers

Induction of Pluripotent Stem Cells from Mouse Embryonic ... 2008 2026 2014 2020 2008 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeong Tae South Korea 32 3.1k 775 579 452 342 140 4.4k
Ying Liu China 35 2.7k 0.9× 635 0.8× 352 0.6× 332 0.7× 173 0.5× 171 4.0k
Liu Wang China 31 3.3k 1.1× 489 0.6× 635 1.1× 499 1.1× 481 1.4× 136 4.4k
Kwonho Hong South Korea 30 3.5k 1.1× 406 0.5× 728 1.3× 229 0.5× 513 1.5× 140 5.4k
Gabsang Lee United States 29 3.9k 1.2× 780 1.0× 500 0.9× 723 1.6× 182 0.5× 68 5.7k
Yanhong Zhao China 32 2.6k 0.8× 339 0.4× 369 0.6× 286 0.6× 389 1.1× 126 3.9k
David L. Becker United Kingdom 30 1.9k 0.6× 488 0.6× 292 0.5× 276 0.6× 318 0.9× 82 3.5k
Guokai Chen Macao 27 2.2k 0.7× 770 1.0× 232 0.4× 483 1.1× 87 0.3× 57 3.1k
Jian Weng China 24 2.0k 0.7× 391 0.5× 145 0.3× 500 1.1× 427 1.2× 79 3.9k
Yevgeny Brudno United States 17 5.1k 1.7× 526 0.7× 1.0k 1.7× 373 0.8× 140 0.4× 36 6.3k

Countries citing papers authored by Jeong Tae

Since Specialization
Citations

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

Fields of papers citing papers by Jeong Tae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeong Tae

This figure shows the co-authorship network connecting the top 25 collaborators of Jeong Tae. A scholar is included among the top collaborators of Jeong Tae 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 Jeong Tae. Jeong Tae 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.
Hong, Kwonho, et al.. (2025). Bisphenol A impairs developmental potential of mouse blastoids through oxidative stress. Environment International. 204. 109820–109820.
3.
Yoo, Hyunjin, Chanhyeok Park, Hyuk Song, et al.. (2023). Common and distinct functions of mouse Dot1l in the regulation of endothelial transcriptome. Frontiers in Cell and Developmental Biology. 11. 1176115–1176115. 1 indexed citations
4.
Hong, Kwonho, et al.. (2023). Altered Mitochondrial Function and Accelerated Aging Phenotype in Neural Stem Cells Derived from Dnm1l Knockout Embryonic Stem Cells. International Journal of Molecular Sciences. 24(18). 14291–14291. 3 indexed citations
5.
Hong, Yean Ju, Yeon‐Mok Oh, Sun‐Shin Cha, et al.. (2021). DJ-1 Can Replace FGF-2 for Long-Term Culture of Human Pluripotent Stem Cells in Defined Media and Feeder-Free Condition. International Journal of Molecular Sciences. 22(11). 5954–5954. 1 indexed citations
6.
Shin, Dong‐Min, et al.. (2021). Current Issues and Technical Advances in Cultured Meat Production: A Review. Food Science of Animal Resources. 41(3). 355–372. 72 indexed citations
7.
Jeong, Joon, Bong Jong Seo, Min Ji Han, et al.. (2020). Changes in the Expression of Mitochondrial Morphology-Related Genes during the Differentiation of Murine Embryonic Stem Cells. Stem Cells International. 2020. 1–12. 18 indexed citations
8.
Seo, Bong Jong, et al.. (2020). Mitochondrial and Metabolic Dynamics of Endometrial Stromal Cells During the Endometrial Cycle. Stem Cells and Development. 29(21). 1407–1415. 8 indexed citations
9.
Hong, Yean Ju, et al.. (2018). Reprogramming of Extraembryonic Trophoblast Stem Cells into Embryonic Pluripotent State by Fusion with Embryonic Stem Cells. Stem Cells and Development. 27(19). 1350–1359. 3 indexed citations
10.
Seo, Bong Jong, Yean Ju Hong, & Jeong Tae. (2017). Cellular Reprogramming Using Protein and Cell-Penetrating Peptides. International Journal of Molecular Sciences. 18(3). 552–552. 35 indexed citations
11.
Lee, Kyung Hoon, Won‐Young Lee, Jeong Tae, et al.. (2016). In Vitro Ectopic Behavior of Porcine Spermatogonial Germ Cells and Testicular Somatic Cells. Cellular Reprogramming. 18(4). 246–255. 3 indexed citations
12.
Hong, Yean Ju, Jong Soo Kim, Hyun Woo Choi, et al.. (2016). In Vivo Generation of Neural Stem Cells Through Teratoma Formation. Stem Cells and Development. 25(17). 1311–1317. 11 indexed citations
13.
Choi, Hyun Woo, Jong Soo Kim, Yean Ju Hong, et al.. (2016). Mitochondrial Remodeling in Chicken Induced Pluripotent Stem-Like Cells. Stem Cells and Development. 25(6). 472–476. 8 indexed citations
14.
Kim, Jong Soo, et al.. (2016). Protein Kinase A Signaling Is Inhibitory for Reprogramming into Pluripotent Stem Cells. Stem Cells and Development. 25(5). 378–385. 4 indexed citations
15.
Kim, Jong Soo, Hyun Woo Choi, Yean Ju Hong, & Jeong Tae. (2014). Generation of Partially Reprogrammed Cells and Fully Reprogrammed iPS Cells by Plasmid Transfection. Methods in molecular biology. 1357. 85–95. 2 indexed citations
16.
Habib, Omer, et al.. (2013). Activation-Induced Deaminase-Coupled DNA Demethylation Is Not Crucial for the Generation of Induced Pluripotent Stem Cells. Stem Cells and Development. 23(3). 209–218. 8 indexed citations
17.
Jeon, Iksoo, Nayeon Lee, Jiayi Li, et al.. (2012). Neuronal Properties, In Vivo Effects, and Pathology of a Huntington's Disease Patient-Derived Induced Pluripotent Stem Cells. Stem Cells. 30(11). 2602–2602. 6 indexed citations
18.
Shi, Yan, Caroline Desponts, Jeong Tae, et al.. (2008). Induction of Pluripotent Stem Cells from Mouse Embryonic Fibroblasts by Oct4 and Klf4 with Small-Molecule Compounds. Cell stem cell. 3(5). 568–574. 655 indexed citations breakdown →
19.
Chen, Shuibing, Jeong Tae, Qisheng Zhang, et al.. (2006). Self-renewal of embryonic stem cells by a small molecule. Proceedings of the National Academy of Sciences. 103(46). 17266–17271. 241 indexed citations
20.
Tae, Jeong, et al.. (2002). Fate of Donor Mitochondrial DNA in Cloned Bovine Embryos Produced by Microinjection of Cumulus Cells. Biology of Reproduction. 67(2). 555–560. 37 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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