Jung‐Il Chae

535 total citations
9 papers, 435 citations indexed

About

Jung‐Il Chae is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Surgery. According to data from OpenAlex, Jung‐Il Chae has authored 9 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Public Health, Environmental and Occupational Health and 2 papers in Surgery. Recurrent topics in Jung‐Il Chae's work include Reproductive Biology and Fertility (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Animal Genetics and Reproduction (2 papers). Jung‐Il Chae is often cited by papers focused on Reproductive Biology and Fertility (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Animal Genetics and Reproduction (2 papers). Jung‐Il Chae collaborates with scholars based in South Korea, China and United States. Jung‐Il Chae's co-authors include Dong‐Seok Lee, Junghyung Park, Jung‐Hak Kim, Ju‐Sik Min, Bokyung Kim, Mijung Yim, Hoonsung Choi, Sunji Park, Jin‐Man Kim and Yong‐Mahn Han and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Neurochemistry and Molecular & Cellular Proteomics.

In The Last Decade

Jung‐Il Chae

9 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jung‐Il Chae South Korea 8 235 84 82 77 76 9 435
Qi Geng China 11 255 1.1× 49 0.6× 21 0.3× 140 1.8× 43 0.6× 22 564
Wan-Sung Choi South Korea 10 174 0.7× 27 0.3× 29 0.4× 30 0.4× 50 0.7× 14 376
W. V. Everson United States 9 334 1.4× 33 0.4× 24 0.3× 165 2.1× 21 0.3× 10 652
John Falconer Australia 13 123 0.5× 17 0.2× 68 0.8× 58 0.8× 40 0.5× 19 522
A. Miki Japan 11 155 0.7× 75 0.9× 20 0.2× 34 0.4× 69 0.9× 19 384
Katarzyna Kisielewska Poland 14 130 0.6× 7 0.1× 52 0.6× 96 1.2× 113 1.5× 38 472
Rana F. Shayya United States 8 222 0.9× 27 0.3× 126 1.5× 269 3.5× 10 0.1× 12 540
Dongjing Yan China 11 155 0.7× 48 0.6× 13 0.2× 71 0.9× 69 0.9× 20 335
Ayumi Murakami Japan 10 268 1.1× 19 0.2× 28 0.3× 67 0.9× 33 0.4× 24 507
Jenny Olausson Germany 9 301 1.3× 11 0.1× 28 0.3× 84 1.1× 68 0.9× 10 696

Countries citing papers authored by Jung‐Il Chae

Since Specialization
Citations

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

Fields of papers citing papers by Jung‐Il Chae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jung‐Il Chae. 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 Jung‐Il Chae. The network helps show where Jung‐Il Chae may publish in the future.

Co-authorship network of co-authors of Jung‐Il Chae

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

All Works

9 of 9 papers shown
1.
Jeon, Young‐Joo, Jumi Kim, Dong‐Seok Lee, et al.. (2014). Phosphorylation of PrxII promotes JNK-dependent apoptosis in adult cloned pig kidney. The International Journal of Biochemistry & Cell Biology. 53. 352–360. 1 indexed citations
2.
Kim, Jung‐Hak, Sun-Ji Park, Tae‐Shin Kim, et al.. (2013). Testicular hyperthermia induces Unfolded Protein Response signaling activation in spermatocyte. Biochemical and Biophysical Research Communications. 434(4). 861–866. 61 indexed citations
3.
Park, Junghyung, Hoonsung Choi, Ju‐Sik Min, et al.. (2013). Mitochondrial dynamics modulate the expression of pro‐inflammatory mediators in microglial cells. Journal of Neurochemistry. 127(2). 221–232. 224 indexed citations
4.
Park, Hyo‐Jin, Sun-Ji Park, Deog‐Bon Koo, et al.. (2013). Unfolding protein response signaling is involved in development, maintenance, and regression of the corpus luteum during the bovine estrous cycle. Biochemical and Biophysical Research Communications. 441(2). 344–350. 28 indexed citations
5.
Chae, Jung‐Il, Jumi Kim, Young Joo Jeon, et al.. (2011). Proteomic analysis of pregnancy-related proteins from pig uterus endometrium during pregnancy. Proteome Science. 9(1). 41–41. 30 indexed citations
6.
Kim, Jumi, Ji-Su Kim, Young Joo Jeon, et al.. (2011). Identification of maturation and protein synthesis related proteins from porcine oocytes during in vitro maturation. Proteome Science. 9(1). 28–28. 15 indexed citations
7.
Wang, Aiguo, Hyung‐Bae Moon, Jung‐Il Chae, et al.. (2011). Steatosis induced by the accumulation of apolipoprotein A-I and elevated ROS levels in H-ras12V transgenic mice contributes to hepatic lesions. Biochemical and Biophysical Research Communications. 409(3). 532–538. 8 indexed citations
8.
Chae, Jung‐Il, et al.. (2008). Abnormal gene expression in extraembryonic tissue from cloned porcine embryos. Theriogenology. 71(2). 323–333. 20 indexed citations
9.
Chae, Jung‐Il, Seong‐Keun Cho, Jung-Woo Seo, et al.. (2006). Proteomic Analysis of the Extraembryonic Tissue from Cloned Porcine Embryos. Molecular & Cellular Proteomics. 5(9). 1559–1566. 48 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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