HyeRan Gwak

478 total citations
10 papers, 383 citations indexed

About

HyeRan Gwak is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, HyeRan Gwak has authored 10 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Oncology. Recurrent topics in HyeRan Gwak's work include Autophagy in Disease and Therapy (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). HyeRan Gwak is often cited by papers focused on Autophagy in Disease and Therapy (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). HyeRan Gwak collaborates with scholars based in South Korea, United States and Canada. HyeRan Gwak's co-authors include Yong Sang Song, Danny N. Dhanasekaran, Soochi Kim, Guy Haegeman, Benjamin K. Tsang, Boyun Kim, Dong Hoon Suh, H.S. Moon, Young‐Min Kim and Hyonchol Jang and has published in prestigious journals such as Nucleic Acids Research, The Journal of Physical Chemistry B and Cancer Letters.

In The Last Decade

HyeRan Gwak

10 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
HyeRan Gwak South Korea 8 245 108 78 71 57 10 383
Wendong Guo China 13 260 1.1× 66 0.6× 85 1.1× 53 0.7× 25 0.4× 26 460
Meihui Xia China 14 306 1.2× 141 1.3× 92 1.2× 68 1.0× 43 0.8× 23 489
Marcelo Correia Portugal 13 315 1.3× 102 0.9× 39 0.5× 55 0.8× 44 0.8× 22 495
Anya Alayev United States 12 378 1.5× 94 0.9× 123 1.6× 127 1.8× 30 0.5× 17 627
Suratchanee Phadngam Italy 8 251 1.0× 116 1.1× 114 1.5× 41 0.6× 26 0.5× 9 378
Claudia Peracchio Italy 8 259 1.1× 79 0.7× 240 3.1× 58 0.8× 55 1.0× 12 444
Jara Majuelos‐Melguizo Spain 6 291 1.2× 55 0.5× 114 1.5× 206 2.9× 29 0.5× 10 457
Yannasittha Jiramongkol United Kingdom 8 261 1.1× 99 0.9× 52 0.7× 59 0.8× 42 0.7× 12 373
Rongyang Dai China 11 266 1.1× 121 1.1× 124 1.6× 56 0.8× 88 1.5× 21 444
Natthakan Thongon United States 11 296 1.2× 86 0.8× 34 0.4× 50 0.7× 26 0.5× 20 413

Countries citing papers authored by HyeRan Gwak

Since Specialization
Citations

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

Fields of papers citing papers by HyeRan Gwak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of HyeRan Gwak

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

All Works

10 of 10 papers shown
1.
2.
Kim, Seong Ho, Seong Ho Kim, HyeRan Gwak, et al.. (2022). Single-Cell FISH Analysis Reveals Distinct Shifts in PKM Isoform Populations during Drug Resistance Acquisition. Biomolecules. 12(8). 1082–1082. 1 indexed citations
3.
Heo, Cheol Ho, et al.. (2021). Probing Physical Properties of the Cellular Membrane in Senescent Cells by Fluorescence Imaging. The Journal of Physical Chemistry B. 125(36). 10182–10194. 7 indexed citations
4.
Gwak, HyeRan, Sunshin Kim, Seungyoon Nam, et al.. (2020). Regulation of mRNA export through API5 and nuclear FGF2 interaction. Nucleic Acids Research. 48(11). 6340–6352. 30 indexed citations
5.
Kim, Hee Yeon, HyeRan Gwak, Ji Hoon Jeon, et al.. (2018). Farnesyl diphosphate synthase is important for the maintenance of glioblastoma stemness. Experimental & Molecular Medicine. 50(10). 1–12. 71 indexed citations
6.
Gwak, HyeRan, et al.. (2016). Metformin induces degradation of cyclin D1 via AMPK/GSK3β axis in ovarian cancer. Molecular Carcinogenesis. 56(2). 349–358. 47 indexed citations
7.
Kim, Soochi, HyeRan Gwak, Hee Seung Kim, et al.. (2016). Malignant ascites enhances migratory and invasive properties of ovarian cancer cells with membrane bound IL-6R in vitro. Oncotarget. 7(50). 83148–83159. 35 indexed citations
8.
Gwak, HyeRan, Soochi Kim, Danny N. Dhanasekaran, & Yong Sang Song. (2015). Resveratrol triggers ER stress-mediated apoptosis by disrupting N-linked glycosylation of proteins in ovarian cancer cells. Cancer Letters. 371(2). 347–353. 74 indexed citations
9.
Moon, H.S., Boyun Kim, HyeRan Gwak, Dong Hoon Suh, & Yong Sang Song. (2015). Autophagy and protein kinase RNA-like endoplasmic reticulum kinase (PERK)/eukaryotic initiation factor 2 alpha kinase (eIF2α) pathway protect ovarian cancer cells from metformin-induced apoptosis. Molecular Carcinogenesis. 55(4). 346–356. 52 indexed citations
10.
Gwak, HyeRan, Guy Haegeman, Benjamin K. Tsang, & Yong Sang Song. (2014). Cancer‐specific interruption of glucose metabolism by resveratrol is mediated through inhibition of Akt/GLUT1 axis in ovarian cancer cells. Molecular Carcinogenesis. 54(12). 1529–1540. 63 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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