Gyeongyun Go

1.5k total citations · 1 hit paper
25 papers, 1.1k citations indexed

About

Gyeongyun Go is a scholar working on Molecular Biology, Cancer Research and Nephrology. According to data from OpenAlex, Gyeongyun Go has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Nephrology. Recurrent topics in Gyeongyun Go's work include Extracellular vesicles in disease (12 papers), MicroRNA in disease regulation (5 papers) and Prion Diseases and Protein Misfolding (4 papers). Gyeongyun Go is often cited by papers focused on Extracellular vesicles in disease (12 papers), MicroRNA in disease regulation (5 papers) and Prion Diseases and Protein Misfolding (4 papers). Gyeongyun Go collaborates with scholars based in South Korea, United States and Sweden. Gyeongyun Go's co-authors include Sang Hun Lee, Yong Song Gho, Dongsic Choi, Jae‐Wook Lee, Dae‐Kyum Kim, Chul Won Yun, Jun Hee Lee, Yae Jin Yoon, Kyong‐Su Park and Sae Rom Kim and has published in prestigious journals such as International Journal of Molecular Sciences, Frontiers in Microbiology and Cell Reports.

In The Last Decade

Gyeongyun Go

24 papers receiving 1.1k citations

Hit Papers

EVpedia: an integrated database of high‐throughput data f... 2013 2026 2017 2021 2013 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. EVpedia: an integrated database of high‐throughput data for systemic analyses of extracellular vesicles
    2013 413 citations Dae‐Kyum Kim, Dongsic Choi et al. Journal of Extracellular Vesicles profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gyeongyun Go South Korea 16 852 420 148 124 123 25 1.1k
Bok Sil Hong South Korea 14 801 0.9× 386 0.9× 105 0.7× 101 0.8× 180 1.5× 28 1.2k
Pamali Fonseka Australia 16 1.4k 1.7× 737 1.8× 106 0.7× 116 0.9× 48 0.4× 23 1.7k
Jian Ding China 17 892 1.0× 472 1.1× 118 0.8× 18 0.1× 71 0.6× 40 1.3k
Yuhan Liu China 18 768 0.9× 417 1.0× 104 0.7× 86 0.7× 19 0.2× 81 1.3k
Jian Ruan China 24 791 0.9× 404 1.0× 104 0.7× 68 0.5× 28 0.2× 94 1.5k
Joseph Mazar United States 17 1.1k 1.3× 925 2.2× 145 1.0× 21 0.2× 95 0.8× 26 1.4k
Razieh Amini Iran 20 613 0.7× 328 0.8× 56 0.4× 63 0.5× 25 0.2× 69 1.0k
Sai V. Chitti Australia 10 1.0k 1.2× 554 1.3× 43 0.3× 89 0.7× 19 0.2× 18 1.2k
Die Wang Australia 19 1.0k 1.2× 474 1.1× 119 0.8× 82 0.7× 18 0.1× 37 1.6k

Countries citing papers authored by Gyeongyun Go

Since Specialization
Citations

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

Fields of papers citing papers by Gyeongyun Go

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gyeongyun Go

This figure shows the co-authorship network connecting the top 25 collaborators of Gyeongyun Go. A scholar is included among the top collaborators of Gyeongyun Go 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 Gyeongyun Go. Gyeongyun Go 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
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Yu, Bin, et al.. (2025). Control of aging-associated neurodegeneration via hypothalamic extracellular vesicles containing parathymosin. Cell Reports. 44(11). 116561–116561. 1 indexed citations
3.
Go, Gyeongyun, Hee Jung Park, Jun Hee Lee, Chul Won Yun, & Sang Hun Lee. (2022). Inhibitory Effect of Oxaliplatin-loaded Engineered Milk Extracellular Vesicles on Tumor Progression. Anticancer Research. 42(2). 857–866. 16 indexed citations
4.
Go, Gyeongyun, Chang‐Seuk Lee, Yeo Min Yoon, et al.. (2021). PrPC Aptamer Conjugated–Gold Nanoparticles for Targeted Delivery of Doxorubicin to Colorectal Cancer Cells. International Journal of Molecular Sciences. 22(4). 1976–1976. 37 indexed citations
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Lim, Ji Ho, Gyeongyun Go, & Sang Hun Lee. (2021). PrPC Regulates the Cancer Stem Cell Properties via Interaction With c-Met in Colorectal Cancer Cells. Anticancer Research. 41(7). 3459–3470. 10 indexed citations
9.
Lee, Jun‐Hee, et al.. (2021). Prion Protein of Extracellular Vesicle Regulates the Progression of Colorectal Cancer. Cancers. 13(9). 2144–2144. 19 indexed citations
10.
Yoon, Yeo Min, Gyeongyun Go, Ji Ho Lim, et al.. (2021). Melatonin Treatment Improves Renal Fibrosis via miR-4516/SIAH3/PINK1 Axis. Cells. 10(7). 1682–1682. 24 indexed citations
11.
Go, Gyeongyun, et al.. (2021). Harnessing the Physiological Functions of Cellular Prion Protein in the Kidneys: Applications for Treating Renal Diseases. Biomolecules. 11(6). 784–784. 6 indexed citations
12.
Yun, Chul Won, et al.. (2020). The Dual Role of Autophagy in Cancer Development and a Therapeutic Strategy for Cancer by Targeting Autophagy. International Journal of Molecular Sciences. 22(1). 179–179. 142 indexed citations
13.
Yoon, Yeo Min, Gyeongyun Go, Chul Won Yun, et al.. (2020). Melatonin Suppresses Renal Cortical Fibrosis by Inhibiting Cytoskeleton Reorganization and Mitochondrial Dysfunction through Regulation of miR-4516. International Journal of Molecular Sciences. 21(15). 5323–5323. 19 indexed citations
14.
Go, Gyeongyun, et al.. (2020). Role of PrPC in Cancer Stem Cell Characteristics and Drug Resistance in Colon Cancer Cells. Anticancer Research. 40(10). 5611–5620. 10 indexed citations
15.
Yoon, Yeo Min, Gyeongyun Go, Chul Won Yun, Ji Ho Lim, & Sang Hun Lee. (2020). Knockdown of CK2α reduces P-cresol-induced fibrosis in human renal proximal tubule epithelial cells via the downregulation of profilin-1. International Journal of Medical Sciences. 17(17). 2850–2860. 7 indexed citations
16.
Han, Yong‐Seok, Yeo Min Yoon, Gyeongyun Go, Jun Hee Lee, & Sang Hun Lee. (2020). Melatonin Protects Human Renal Proximal Tubule Epithelial Cells Against High Glucose-Mediated Fibrosis via the Cellular Prion Protein-TGF-β-Smad Signaling Axis. International Journal of Medical Sciences. 17(9). 1235–1245. 18 indexed citations
17.
Choi, Dongsic, Gyeongyun Go, Dae‐Kyum Kim, et al.. (2020). Quantitative proteomic analysis of trypsin‐treated extracellular vesicles to identify the real‐vesicular proteins. Journal of Extracellular Vesicles. 9(1). 1757209–1757209. 38 indexed citations
18.
Lee, Jaewook, Yae Jin Yoon, Ji Hyun Kim, et al.. (2018). Outer Membrane Vesicles Derived From Escherichia coli Regulate Neutrophil Migration by Induction of Endothelial IL-8. Frontiers in Microbiology. 9. 2268–2268. 54 indexed citations
19.
Lee, Jae‐Wook, Si‐Hyun Kim, Dongsic Choi, et al.. (2015). Proteomic analysis of extracellular vesicles derived from Mycobacterium tuberculosis. PROTEOMICS. 15(19). 3331–3337. 94 indexed citations
20.
Choi, Dongsic, Jae‐Wook Lee, Gyeongyun Go, Yoon‐Keun Kim, & Yong Song Gho. (2013). Circulating Extracellular Vesicles in Cancer Diagnosis and Monitoring. Molecular Diagnosis & Therapy. 17(5). 265–271. 46 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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