Sang‐Young Chun

2.5k total citations
47 papers, 2.0k citations indexed

About

Sang‐Young Chun is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine and Molecular Biology. According to data from OpenAlex, Sang‐Young Chun has authored 47 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Public Health, Environmental and Occupational Health, 22 papers in Reproductive Medicine and 14 papers in Molecular Biology. Recurrent topics in Sang‐Young Chun's work include Reproductive Biology and Fertility (21 papers), Reproductive System and Pregnancy (9 papers) and Ovarian function and disorders (8 papers). Sang‐Young Chun is often cited by papers focused on Reproductive Biology and Fertility (21 papers), Reproductive System and Pregnancy (9 papers) and Ovarian function and disorders (8 papers). Sang‐Young Chun collaborates with scholars based in South Korea, United States and Japan. Sang‐Young Chun's co-authors include Aaron J.W. Hsueh, Marco Conti, A. Tsafriri, Alex Tsafriri, Håkan Billig, Kathleen Horner, François J. Richard, Hyun‐Jeong Park, Satoko Sudo and Elizabeth A. McGee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Sang‐Young Chun

47 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sang‐Young Chun South Korea 22 1.2k 769 759 298 266 47 2.0k
Riaz Farookhi Canada 24 646 0.5× 670 0.9× 650 0.9× 400 1.3× 286 1.1× 58 2.0k
Stephen Palmer United States 23 451 0.4× 544 0.7× 918 1.2× 294 1.0× 296 1.1× 52 1.9k
JoAnne S. Richards United States 17 754 0.6× 582 0.8× 731 1.0× 375 1.3× 337 1.3× 23 1.6k
Marta Tesone Argentina 28 799 0.7× 1.4k 1.8× 536 0.7× 363 1.2× 476 1.8× 96 2.3k
Patricia L. Morris United States 28 442 0.4× 810 1.1× 1.2k 1.6× 538 1.8× 178 0.7× 59 2.2k
Pirjo Pakarinen Finland 25 828 0.7× 1.1k 1.4× 741 1.0× 883 3.0× 131 0.5× 41 2.2k
Alex Tsafriri Israel 23 1.6k 1.3× 1.1k 1.4× 789 1.0× 346 1.2× 348 1.3× 29 2.4k
Kimihisa Tajima Japan 22 669 0.6× 545 0.7× 532 0.7× 257 0.9× 188 0.7× 40 1.5k
Carlos Stocco United States 26 1.1k 0.9× 872 1.1× 705 0.9× 845 2.8× 644 2.4× 56 2.7k
Carla Boitani Italy 33 980 0.8× 1.6k 2.0× 1.0k 1.4× 681 2.3× 125 0.5× 58 2.6k

Countries citing papers authored by Sang‐Young Chun

Since Specialization
Citations

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

Fields of papers citing papers by Sang‐Young Chun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang‐Young Chun. 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 Sang‐Young Chun. The network helps show where Sang‐Young Chun may publish in the future.

Co-authorship network of co-authors of Sang‐Young Chun

This figure shows the co-authorship network connecting the top 25 collaborators of Sang‐Young Chun. A scholar is included among the top collaborators of Sang‐Young Chun 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 Sang‐Young Chun. Sang‐Young Chun 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.
Cho, Dong‐Hyung, et al.. (2017). Peroxiredoxins are required for spindle assembly, chromosome organization, and polarization in mouse oocytes. Biochemical and Biophysical Research Communications. 489(2). 193–199. 6 indexed citations
2.
Park, Jae-Il, et al.. (2014). Cumulus Cell-Expressed Type I Interferons Induce Cumulus Expansion in Mice1. Biology of Reproduction. 92(1). 20–20. 16 indexed citations
3.
Park, Jae‐Il, et al.. (2012). B-cell translocation gene 2: Expression in the rat ovary and potential association with adenine nucleotide translocase 2 in mitochondria. Molecular and Cellular Endocrinology. 367(1-2). 31–40. 8 indexed citations
4.
Kim, Seung‐Hyun, et al.. (2009). Interferon-α Is Involved in the Luteinizing Hormone-Induced Differentiation of Rat Preovulatory Granulosa Cells. Journal of Interferon & Cytokine Research. 29(12). 801–808. 10 indexed citations
5.
Jeon, Mijin, Eung-Woo Park, Jin-Ki Park, et al.. (2009). Gonadotropin regulation of genes differentially expressed in response to PKCζ inhibitor during ovulation in the rat. Life Sciences. 85(3-4). 153–160. 2 indexed citations
6.
Spicer, L. J., Satoko Sudo, Pauline Y. Aad, et al.. (2009). The hedgehog-patched signaling pathway and function in the mammalian ovary: a novel role for hedgehog proteins in stimulating proliferation and steroidogenesis of theca cells. Reproduction. 138(2). 329–339. 64 indexed citations
7.
Park, Jae-Il, Jang‐Soo Chun, Mijin Jeon, et al.. (2007). Activation of protein kinase Cζ mediates luteinizing hormone- or forskolin-induced NGFI-B expression in preovulatory granulosa cells of rat ovary. Molecular and Cellular Endocrinology. 270(1-2). 79–86. 14 indexed citations
8.
Park, Jae-Il, et al.. (2007). Gonadotropin regulation of RIP140 messenger ribonucleic acid expression in the rat ovary. Life Sciences. 81(12). 1003–1008. 2 indexed citations
9.
Wang, Aiguo, Hyung‐Bae Moon, Sang‐Young Chun, et al.. (2006). Orchiectomy reduces hepatotumorigenesis of H-ras12V transgenic mice via the MAPK pathway. Life Sciences. 79(21). 1974–1980. 8 indexed citations
10.
Kim, Mi‐Young, et al.. (2005). Control Mechanisms of Ovulation by Pituitary Adenylate Cyclase-Activating Polypeptide. 101–112. 1 indexed citations
11.
Gomes, Cynthia, Sung‐Dug Oh, Jung-Woo Kim, et al.. (2004). Expression of the Putative Sterol Binding Protein Stard6 Gene Is Male Germ Cell Specific1. Biology of Reproduction. 72(3). 651–658. 36 indexed citations
12.
Jeong, Byung‐Chul, Cheol Yi Hong, Soma Chattopadhyay, et al.. (2003). Androgen Receptor Corepressor-19 kDa (ARR19), a Leucine-Rich Protein that Represses the Transcriptional Activity of Androgen Receptor through Recruitment of Histone Deacetylase. Molecular Endocrinology. 18(1). 13–25. 57 indexed citations
13.
Lee, Yong Soo, Hyun‐Jin Kim, Hyun Ju Lee, et al.. (2002). Activating Signal Cointegrator 1 Is Highly Expressed in Murine Testicular Leydig Cells and Enhances the Ligand-Dependent Transactivation of Androgen Receptor1. Biology of Reproduction. 67(5). 1580–1587. 28 indexed citations
14.
Park, Hyun‐Jeong, et al.. (2001). Stage-Dependent Regulation of Ovarian Pituitary Adenylate Cyclase-Activating Polypeptide mRNA Levels by GnRH in Cultured Rat Granulosa Cells. Endocrinology. 142(9). 3828–3835. 15 indexed citations
15.
Koh, Phil‐Ok, Sang Soo Kang, Gyeong Jae Cho, et al.. (2000). Expression of pituitary adenylate cyclase activating polypeptide (PACAP) and PACAP type I A receptor mRNAs in granulosa cells of preovulatory follicles of the rat ovary. Molecular Reproduction and Development. 55(4). 379–386. 20 indexed citations
16.
17.
18.
Chun, Sang‐Young & Aaron J.W. Hsueh. (1998). Paracrine mechanisms of ovarian follicle apoptosis. Journal of Reproductive Immunology. 39(1-2). 63–75. 74 indexed citations
19.
20.
Eisenhauer, Karen, Sang‐Young Chun, Håkan Billig, & Aaron J.W. Hsueh. (1995). Growth Hormone Suppression of Apoptosis in Preovulatory Rat Follicles and Partial Neutralization by Insulin-Like Growth Factor Binding Protein1. Biology of Reproduction. 53(1). 13–20. 79 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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