Jae‐Pil Jeon

1.5k total citations
39 papers, 923 citations indexed

About

Jae‐Pil Jeon is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Jae‐Pil Jeon has authored 39 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 10 papers in Genetics and 6 papers in Oncology. Recurrent topics in Jae‐Pil Jeon's work include Viral-associated cancers and disorders (5 papers), Genomic variations and chromosomal abnormalities (5 papers) and Ginseng Biological Effects and Applications (4 papers). Jae‐Pil Jeon is often cited by papers focused on Viral-associated cancers and disorders (5 papers), Genomic variations and chromosomal abnormalities (5 papers) and Ginseng Biological Effects and Applications (4 papers). Jae‐Pil Jeon collaborates with scholars based in South Korea, United States and Luxembourg. Jae‐Pil Jeon's co-authors include Bok‐Ghee Han, Meeyul Hwang, Hyeyoung Nam, Young Ho Koh, Jihyun Song, Chulman Jo, Glen H. Nuckolls, Mondira Kundu, Amjad Javed and Maximilian Muenke and has published in prestigious journals such as Nature Genetics, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jae‐Pil Jeon

38 papers receiving 911 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae‐Pil Jeon South Korea 18 530 151 147 121 108 39 923
Ting Cao China 19 635 1.2× 114 0.8× 79 0.5× 89 0.7× 186 1.7× 58 1.1k
Wim Van Molle Belgium 13 392 0.7× 110 0.7× 142 1.0× 114 0.9× 125 1.2× 20 909
Dario Mizrachi United States 21 884 1.7× 173 1.1× 126 0.9× 66 0.5× 109 1.0× 34 1.3k
Mark Worthington United States 16 792 1.5× 92 0.6× 65 0.4× 186 1.5× 121 1.1× 32 1.6k
Dan Lü China 18 617 1.2× 131 0.9× 103 0.7× 108 0.9× 153 1.4× 80 1.1k
Yongzhong Zhao United States 17 767 1.4× 252 1.7× 123 0.8× 100 0.8× 122 1.1× 27 1.2k
Lawrence A. Scheving United States 20 531 1.0× 246 1.6× 147 1.0× 248 2.0× 93 0.9× 43 1.4k
Chung‐Hsing Wang Taiwan 16 341 0.6× 89 0.6× 156 1.1× 67 0.6× 54 0.5× 56 837
Deok‐Soo Son United States 21 362 0.7× 87 0.6× 105 0.7× 245 2.0× 152 1.4× 44 1.1k
Isabelle Cohen France 17 1.0k 1.9× 184 1.2× 102 0.7× 103 0.9× 109 1.0× 21 1.4k

Countries citing papers authored by Jae‐Pil Jeon

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Pil Jeon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Pil Jeon. 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 Jae‐Pil Jeon. The network helps show where Jae‐Pil Jeon may publish in the future.

Co-authorship network of co-authors of Jae‐Pil Jeon

This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐Pil Jeon. A scholar is included among the top collaborators of Jae‐Pil Jeon 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 Jae‐Pil Jeon. Jae‐Pil Jeon 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.
Koh, Young Ho, et al.. (2022). A combination of multiple autoantibodies is associated with the risk of Alzheimer’s disease and cognitive impairment. Scientific Reports. 12(1). 1312–1312. 12 indexed citations
2.
Cho, Seong Beom, InSong Koh, Hyeyoung Nam, et al.. (2017). Mitochondrial DNA copy number augments performance of A1C and oral glucose tolerance testing in the prediction of type 2 diabetes. Scientific Reports. 7(1). 43203–43203. 18 indexed citations
3.
Jo, Chulman, et al.. (2016). Elevated Epstein-Barr Virus Antibody Level is Associated with Cognitive Decline in the Korean Elderly. Journal of Alzheimer s Disease. 55(1). 293–301. 32 indexed citations
4.
Kim, Sunhyo, Ki Ju Choi, Sun‐Jung Cho, et al.. (2016). Fisetin stimulates autophagic degradation of phosphorylated tau via the activation of TFEB and Nrf2 transcription factors. Scientific Reports. 6(1). 24933–24933. 98 indexed citations
5.
Song, Jihyun, et al.. (2016). Conversion pattern and predictive factor of mild cognitive impairment in elderly Koreans. Archives of Gerontology and Geriatrics. 64. 146–150. 10 indexed citations
6.
Kang, Hyun Ju, et al.. (2013). Identification of Clinical Biomarkers for Pre-Analytical Quality Control of Blood Samples. Biopreservation and Biobanking. 11(2). 94–100. 33 indexed citations
7.
8.
Mathay, Conny, Wusheng Yan, Rodrigo Chuaqui, et al.. (2012). Short-Term Stability Study of RNA at Room Temperature. Biopreservation and Biobanking. 10(6). 532–542. 27 indexed citations
9.
Choi, Hyung Jin, Hyun Ju Kang, Yeonjung Kim, et al.. (2012). Human transcriptome analysis of acute responses to glucose ingestion reveals the role of leukocytes in hyperglycemia-induced inflammation. Physiological Genomics. 44(24). 1179–1187. 6 indexed citations
10.
Lee, Jae-Eun, Hyeyoung Nam, Meeyul Hwang, et al.. (2012). Molecular signatures in response to Isoliquiritigenin in lymphoblastoid cell lines. Biochemical and Biophysical Research Communications. 427(2). 392–397. 7 indexed citations
11.
Kim, Ji Hyun, et al.. (2010). Multilaboratory Assessment of Variations in Spectrophotometry-Based DNA Quantity and Purity Indexes. Biopreservation and Biobanking. 8(4). 187–192. 11 indexed citations
12.
Lee, Jae-Eun, et al.. (2010). Bacterial Contamination of Blood DNA Samples is Associated with Donor's Health Condition. Biopreservation and Biobanking. 8(3). 127–131. 1 indexed citations
13.
Jeon, Jae‐Pil, et al.. (2009). Sustained Viral Activity of Epstein-Barr Virus Contributes to Cellular Immortalization of Lymphoblastoid Cell Lines. Molecules and Cells. 27(2). 143–148. 20 indexed citations
14.
Lee, Taesung, et al.. (2008). Protective effect of bioactive ceramics on liver injury: regulation of pro-inflammatory cytokins expression. Journal of Materials Science Materials in Medicine. 20(1). 295–299. 4 indexed citations
15.
Hwang, Jae‐Sam, Tae‐Won Goo, Su‐Il Seong, et al.. (2007). Molecular Characterization of Small Heat Shock Protein(hsp20.8A) from the Silkworm, Bombyx mori. International Journal of Industrial Entomology. 15(1). 75–78.
16.
Jeon, Jae‐Pil, et al.. (2007). Copy number increase of 1p36.33 and mitochondrial genome amplification in Epstein–Barr virus-transformed lymphoblastoid cell lines. Cancer Genetics and Cytogenetics. 173(2). 122–130. 38 indexed citations
17.
Park, Jung‐Hoon, Jae‐Pil Jeon, Hyeyoung Nam, et al.. (2007). Wp specific methylation of highly proliferated LCLs. Biochemical and Biophysical Research Communications. 358(2). 513–520. 9 indexed citations
18.
Yun, Eun-Young, Sang Beom Lee, Mi‐Young Ahn, et al.. (2006). Expressed sequence tag analysis of the diapausing queen of the bumblebee Bombus ignitus. Entomological Research. 36(4). 191–195. 11 indexed citations
19.
Hwang, Meeyul, Hyejin Kim, Young‐Chae Chang, et al.. (2006). TGF-β1 siRNA suppresses the tubulointerstitial fibrosis in the kidney of ureteral obstruction. Experimental and Molecular Pathology. 81(1). 48–54. 63 indexed citations
20.
Kundu, Mondira, Amjad Javed, Jae‐Pil Jeon, et al.. (2002). Cbfβ interacts with Runx2 and has a critical role in bone development. Nature Genetics. 32(4). 639–644. 185 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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