Gyesoon Yoon

4.5k total citations
64 papers, 3.4k citations indexed

About

Gyesoon Yoon is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Gyesoon Yoon has authored 64 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 24 papers in Physiology and 13 papers in Cancer Research. Recurrent topics in Gyesoon Yoon's work include Telomeres, Telomerase, and Senescence (21 papers), Mitochondrial Function and Pathology (16 papers) and ATP Synthase and ATPases Research (8 papers). Gyesoon Yoon is often cited by papers focused on Telomeres, Telomerase, and Senescence (21 papers), Mitochondrial Function and Pathology (16 papers) and ATP Synthase and ATPases Research (8 papers). Gyesoon Yoon collaborates with scholars based in South Korea, United States and Macao. Gyesoon Yoon's co-authors include Young‐Sil Yoon, Hae‐Ok Byun, Young‐Kyoung Lee, Kyeong Sook Choi, In Kyoung Lim, Eun Seong Hwang, Hyun Tae Kang, Yonghak Seo, Jae‐Ho Lee and Seongki Min and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Analytical Chemistry.

In The Last Decade

Gyesoon Yoon

62 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gyesoon Yoon South Korea 31 2.1k 948 599 489 413 64 3.4k
Konstantinos Evangelou Greece 27 1.6k 0.8× 1.0k 1.1× 304 0.5× 270 0.6× 405 1.0× 65 3.0k
Jianyuan Luo China 27 1.9k 0.9× 717 0.8× 694 1.2× 737 1.5× 668 1.6× 54 3.4k
Gerta Hoxhaj United States 18 2.7k 1.3× 408 0.4× 878 1.5× 383 0.8× 456 1.1× 24 3.7k
Ja‐Eun Kim South Korea 33 3.0k 1.4× 450 0.5× 733 1.2× 512 1.0× 752 1.8× 81 4.4k
Tohru Yamamori Japan 26 1.4k 0.7× 640 0.7× 290 0.5× 330 0.7× 252 0.6× 58 2.8k
Jian Hu United States 35 2.6k 1.2× 659 0.7× 962 1.6× 232 0.5× 582 1.4× 104 4.3k
Tobias B. Dansen Netherlands 31 3.1k 1.5× 569 0.6× 584 1.0× 344 0.7× 437 1.1× 50 4.1k
Almudena Porrás Spain 27 2.3k 1.1× 688 0.7× 481 0.8× 474 1.0× 694 1.7× 72 3.6k
Shan Jiang China 21 1.1k 0.5× 524 0.6× 419 0.7× 317 0.6× 245 0.6× 93 2.4k
Yasunori Fujita Japan 34 2.0k 1.0× 617 0.7× 1.1k 1.8× 296 0.6× 335 0.8× 105 3.8k

Countries citing papers authored by Gyesoon Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Gyesoon Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gyesoon Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Gyesoon Yoon. A scholar is included among the top collaborators of Gyesoon Yoon 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 Gyesoon Yoon. Gyesoon Yoon 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, Young‐Kyoung, Young Hwa Kim, So Hyun Park, et al.. (2024). Distribution and impact of p16INK4A+ senescent cells in elderly tissues: a focus on senescent immune cell and epithelial dysfunction. Experimental & Molecular Medicine. 56(12). 2631–2641. 2 indexed citations
2.
Kim, In Young, Hong Jae Lee, Min Ji Seo, et al.. (2024). Akt enhances the vulnerability of cancer cells to VCP/p97 inhibition-mediated paraptosis. Cell Death and Disease. 15(1). 11 indexed citations
3.
Hong, Sun Mi, Gyesoon Yoon, Su Bin Lim, et al.. (2024). NAMPT‐Driven M2 Polarization of Tumor‐Associated Macrophages Leads to an Immunosuppressive Microenvironment in Colorectal Cancer. Advanced Science. 11(14). e2303177–e2303177. 26 indexed citations
4.
Min, Seongki, et al.. (2023). SRSF7 downregulation induces cellular senescence through generation of MDM2 variants. Aging. 15(24). 14591–14606. 3 indexed citations
5.
Min, Seongki, Young‐Kyoung Lee, Tae Jun Park, et al.. (2021). MRPS31 loss is a key driver of mitochondrial deregulation and hepatocellular carcinoma aggressiveness. Cell Death and Disease. 12(11). 1076–1076. 20 indexed citations
6.
Lee, Young‐Kyoung, So Mee Kwon, Seongki Min, et al.. (2020). Mitochondrial Respiratory Defect Enhances Hepatoma Cell Invasiveness via STAT3/NFE2L1/STX12 Axis. Cancers. 12(9). 2632–2632. 20 indexed citations
7.
Lee, Young‐Kyoung, et al.. (2017). Lactate-mediated mitoribosomal defects impair mitochondrial oxidative phosphorylation and promote hepatoma cell invasiveness. Journal of Biological Chemistry. 292(49). 20208–20217. 68 indexed citations
8.
Min, Kyoung‐jin, et al.. (2016). Inhibition of Cathepsin S Induces Mitochondrial ROS That Sensitizes TRAIL-Mediated Apoptosis Through p53-Mediated Downregulation of Bcl-2 and c-FLIP. Antioxidants and Redox Signaling. 27(4). 215–233. 42 indexed citations
9.
Kim, Jeong‐Min, et al.. (2015). Invited Mini Review : From cell senescence to age-related diseases: differential mechanisms of action of senescence-associated secretory phenotypes. BMB Reports. 48(10). 549–558. 23 indexed citations
10.
Lee, Young‐Kyoung, Hyun Goo Woo, & Gyesoon Yoon. (2015). Mitochondrial defect-responsive gene signature in liver-cancer progression. BMB Reports. 48(11). 597–598. 11 indexed citations
11.
Byun, Hae‐Ok, Byul A Jee, Hyunwoo Cho, et al.. (2013). Implications of time‐series gene expression profiles of replicative senescence. Aging Cell. 12(4). 622–634. 75 indexed citations
12.
Lee, Su Yeon, Hyun Min Jeon, Min Kyung Ju, et al.. (2012). Wnt/Snail Signaling Regulates Cytochrome c Oxidase and Glucose Metabolism. Cancer Research. 72(14). 3607–3617. 164 indexed citations
13.
Lee, In‐Kyu, et al.. (2010). Sterol Regulatory Element-binding Protein (SREBP)-1-mediated Lipogenesis Is Involved in Cell Senescence. Journal of Biological Chemistry. 285(38). 29069–29077. 81 indexed citations
14.
Yun, Miyong, Hak Yong Kim, Bu‐Yeo Kim, et al.. (2009). p31comet Induces Cellular Senescence through p21 Accumulation and Mad2 Disruption. Molecular Cancer Research. 7(3). 371–382. 21 indexed citations
15.
Lee, Hae‐June, Young‐Gyu Ko, Gyesoon Yoon, et al.. (2009). Cathepsin D and Eukaryotic Translation Elongation Factor 1 as Promising Markers of Cellular Senescence. Cancer Research. 69(11). 4638–4647. 74 indexed citations
16.
Byun, Joo‐Yun, Minjung Kim, Changhwan Yoon, et al.. (2009). Oncogenic Ras Signals through Activation of Both Phosphoinositide 3-Kinase and Rac1 to Induce c-Jun NH2-Terminal Kinase–Mediated, Caspase-Independent Cell Death. Molecular Cancer Research. 7(9). 1534–1542. 15 indexed citations
17.
Lee, Tae Hoon, et al.. (2009). DIC‐1 over‐expression enhances respiratory activity in Caenorhabditis elegans by promoting mitochondrial cristae formation. Genes to Cells. 14(3). 319–327. 11 indexed citations
18.
Seo, Yonghak, et al.. (2008). Enhanced glycogenesis is involved in cellular senescence via GSK3/GS modulation. Aging Cell. 7(6). 894–907. 70 indexed citations
19.
20.
Lim, In Kyoung, Tae Jun Park, Sang Chul Park, et al.. (2000). Selective left-lobe atrophy by nodularin treatment accompanied by reduced protein phosphatase 1/2a and increased peroxisome proliferation in rat liver. International Journal of Cancer. 91(1). 32–40. 5 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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