Jeong Su Oh

3.1k total citations
68 papers, 2.2k citations indexed

About

Jeong Su Oh is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Cell Biology. According to data from OpenAlex, Jeong Su Oh has authored 68 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 29 papers in Public Health, Environmental and Occupational Health and 28 papers in Cell Biology. Recurrent topics in Jeong Su Oh's work include Reproductive Biology and Fertility (29 papers), Microtubule and mitosis dynamics (25 papers) and Epigenetics and DNA Methylation (11 papers). Jeong Su Oh is often cited by papers focused on Reproductive Biology and Fertility (29 papers), Microtubule and mitosis dynamics (25 papers) and Epigenetics and DNA Methylation (11 papers). Jeong Su Oh collaborates with scholars based in South Korea, United States and China. Jeong Su Oh's co-authors include Marco Conti, Jae‐Sung Kim, Minnie Hsieh, A.M. Zamah, Andrej Šušor, Seung Jin Han, Sang‐Gu Hwang, Pasquale Manzerra, Mary B. Kennedy and Dong‐Hyung Cho and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Jeong Su Oh

67 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeong Su Oh South Korea 25 1.3k 798 436 399 206 68 2.2k
Evelyn T. Maizels United States 27 1.5k 1.2× 991 1.2× 654 1.5× 255 0.6× 597 2.9× 49 2.7k
Dana Chuderland Israel 21 763 0.6× 260 0.3× 367 0.8× 183 0.5× 177 0.9× 30 1.4k
Shidou Zhao China 27 1.0k 0.8× 676 0.8× 452 1.0× 67 0.2× 314 1.5× 72 2.3k
Maggie M.‐Y. United States 22 893 0.7× 610 0.8× 403 0.9× 159 0.4× 161 0.8× 27 1.9k
Joseph Orly Israel 32 1.5k 1.2× 632 0.8× 579 1.3× 206 0.5× 1.0k 5.0× 59 3.0k
Fayçal Boussouar France 20 1.8k 1.4× 216 0.3× 359 0.8× 111 0.3× 266 1.3× 24 2.5k
K.M.J. Menon United States 31 1.1k 0.9× 615 0.8× 962 2.2× 135 0.3× 698 3.4× 141 3.0k
Tie-Shan Tang China 23 1.1k 0.9× 206 0.3× 151 0.3× 143 0.4× 199 1.0× 54 1.6k
Takashi Minegishi Japan 32 1.6k 1.3× 847 1.1× 1.2k 2.7× 159 0.4× 733 3.6× 141 3.6k
Leslie O. Goodwin United States 22 938 0.7× 217 0.3× 207 0.5× 207 0.5× 186 0.9× 42 1.6k

Countries citing papers authored by Jeong Su Oh

Since Specialization
Citations

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

Fields of papers citing papers by Jeong Su Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeong Su Oh

This figure shows the co-authorship network connecting the top 25 collaborators of Jeong Su Oh. A scholar is included among the top collaborators of Jeong Su Oh 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 Su Oh. Jeong Su Oh 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.
Lee, Crystal, et al.. (2024). Distinct characteristics of the DNA damage response in mammalian oocytes. Experimental & Molecular Medicine. 56(2). 319–328. 15 indexed citations
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Oh, Jeong Su, et al.. (2022). MDC1 is essential for G2/M transition and spindle assembly in mouse oocytes. Cellular and Molecular Life Sciences. 79(4). 200–200. 4 indexed citations
5.
Kim, Jae‐Sung, et al.. (2021). TCTP overexpression reverses age‐associated telomere attrition by upregulating telomerase activity in mouse oocytes. Journal of Cellular Physiology. 237(1). 833–845. 6 indexed citations
6.
Cho, Sungrae, Kangsan Roh, Jaehyun Park, et al.. (2017). Hydrolysis of Hyaluronic Acid in Lymphedematous Tissue Alleviates Fibrogenesis via TH1 Cell-Mediated Cytokine Expression. Scientific Reports. 7(1). 35–35. 19 indexed citations
7.
Wang, Haiyang, et al.. (2017). Filamin A is required for spindle migration and asymmetric division in mouse oocytes. The FASEB Journal. 31(8). 3677–3688. 18 indexed citations
8.
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
9.
Kim, Jae‐Sung, Hyun‐Ah Kim, Min-Ki Seong, et al.. (2016). STAT3-survivin signaling mediates a poor response to radiotherapy in HER2-positive breast cancers. Oncotarget. 7(6). 7055–7065. 53 indexed citations
10.
Park, Hyung Ju, Jeong Su Oh, Jong Wook Chang, Sang‐Gu Hwang, & Jae‐Sung Kim. (2016). Proton Irradiation Sensitizes Radioresistant Non-small Cell Lung Cancer Cells by Modulating Epidermal Growth Factor Receptor-mediated DNA Repair.. PubMed. 36(1). 205–12. 6 indexed citations
11.
Chang, Jong Wook, et al.. (2016). TCTP regulates spindle microtubule dynamics by stabilizing polar microtubules during mouse oocyte meiosis. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1863(4). 630–637. 29 indexed citations
12.
Kim, Dong Hyun, Eun Hyuk Chang, Ji Hyun Kim, et al.. (2015). GDF-15 Secreted from Human Umbilical Cord Blood Mesenchymal Stem Cells Delivered Through the Cerebrospinal Fluid Promotes Hippocampal Neurogenesis and Synaptic Activity in an Alzheimer's Disease Model. Stem Cells and Development. 24(20). 2378–2390. 105 indexed citations
13.
Chung, Woo‐Jae, et al.. (2015). Zwint-1 is required for spindle assembly checkpoint function and kinetochore-microtubule attachment during oocyte meiosis. Scientific Reports. 5(1). 15431–15431. 39 indexed citations
14.
Yang, Yanyan, Woo Seok Yang, Tao Yu, et al.. (2014). Novel anti-inflammatory function of NSC95397 by the suppression of multiple kinases. Biochemical Pharmacology. 88(2). 201–215. 52 indexed citations
15.
Kim, Jae‐Sung, Eun Ju Kim, Jeong Su Oh, In‐Chul Park, & Sang‐Gu Hwang. (2013). CIP2A Modulates Cell-Cycle Progression in Human Cancer Cells by Regulating the Stability and Activity of Plk1. Cancer Research. 73(22). 6667–6678. 64 indexed citations
16.
Kim, Eun Sung, Yoon Kyung Jo, So Jung Park, et al.. (2013). ARP101 inhibits α‐MSH‐stimulated melanogenesis by regulation of autophagy in melanocytes. FEBS Letters. 587(24). 3955–3960. 35 indexed citations
17.
Oh, Jeong Su. (2012). New insight into the regulation of cell cycle in mouse oocytes. 38–40.
18.
Chen, Jing, Collin Melton, Nayoung Suh, et al.. (2011). Genome-wide analysis of translation reveals a critical role for deleted in azoospermia-like ( Dazl ) at the oocyte-to-zygote transition. Genes & Development. 25(7). 755–766. 198 indexed citations
19.
Yi, Chongil, Jong‐Min Woo, Cecil Han, et al.. (2010). Expression analysis of the Adam21 gene in mouse testis. Gene Expression Patterns. 10(2-3). 152–158. 7 indexed citations
20.
Oh, Jeong Su, Pasquale Manzerra, & Mary B. Kennedy. (2004). Regulation of the Neuron-specific Ras GTPase-activating Protein, synGAP, by Ca2+/Calmodulin-dependent Protein Kinase II. Journal of Biological Chemistry. 279(17). 17980–17988. 98 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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