Ann‐Na Cho

1.3k total citations
25 papers, 700 citations indexed

About

Ann‐Na Cho is a scholar working on Molecular Biology, Biomedical Engineering and Neurology. According to data from OpenAlex, Ann‐Na Cho has authored 25 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Biomedical Engineering and 4 papers in Neurology. Recurrent topics in Ann‐Na Cho's work include Pluripotent Stem Cells Research (7 papers), 3D Printing in Biomedical Research (6 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Ann‐Na Cho is often cited by papers focused on Pluripotent Stem Cells Research (7 papers), 3D Printing in Biomedical Research (6 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Ann‐Na Cho collaborates with scholars based in South Korea, Australia and United States. Ann‐Na Cho's co-authors include Seung‐Woo Cho, Yoonhee Jin, Kisuk Yang, Jin Kim, Suran Kim, Jung Seung Lee, Jung Ho Cho, Changsik Song, Jisoo Shin and Eun Jung Choi and has published in prestigious journals such as Advanced Materials, Nano Letters and Biomaterials.

In The Last Decade

Ann‐Na Cho

25 papers receiving 695 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ann‐Na Cho South Korea 14 390 216 146 143 122 25 700
Cécile Boyer France 14 189 0.5× 196 0.9× 95 0.7× 220 1.5× 97 0.8× 22 767
Darice Y. Wong United States 11 234 0.6× 166 0.8× 153 1.0× 181 1.3× 91 0.7× 16 644
Jen‐Hung Fang Taiwan 10 351 0.9× 136 0.6× 88 0.6× 274 1.9× 31 0.3× 13 612
Mohammad Abu-Rub United States 14 198 0.5× 197 0.9× 189 1.3× 242 1.7× 125 1.0× 22 819
Lihua Luo China 16 320 0.8× 218 1.0× 280 1.9× 291 2.0× 194 1.6× 31 991
Zhongyang Liu China 19 287 0.7× 211 1.0× 390 2.7× 282 2.0× 188 1.5× 50 1.0k
Alonda C. Pollins United States 19 158 0.4× 218 1.0× 216 1.5× 169 1.2× 263 2.2× 55 1.1k
Bai‐Shuan Liu Taiwan 20 360 0.9× 142 0.7× 199 1.4× 384 2.7× 195 1.6× 33 1.0k
Antonio Merolli Italy 15 270 0.7× 78 0.4× 97 0.7× 114 0.8× 298 2.4× 51 646
Jinjin Zhu China 17 288 0.7× 255 1.2× 128 0.9× 249 1.7× 264 2.2× 52 987

Countries citing papers authored by Ann‐Na Cho

Since Specialization
Citations

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

Fields of papers citing papers by Ann‐Na Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann‐Na Cho. 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 Ann‐Na Cho. The network helps show where Ann‐Na Cho may publish in the future.

Co-authorship network of co-authors of Ann‐Na Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Ann‐Na Cho. A scholar is included among the top collaborators of Ann‐Na Cho 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 Ann‐Na Cho. Ann‐Na Cho 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.
Zhang, Yingqi, Guocheng Fang, Yao Wang, et al.. (2025). Intravasation‐On‐µDevice (INVADE): Engineering Dynamic Vascular Interfaces to Study Cancer Cell Intravasation. Advanced Materials. 37(26). e2501466–e2501466. 2 indexed citations
2.
Nazari, Hojjatollah, et al.. (2024). Impact of brain organoid-derived sEVs on metastatic adaptation and invasion of breast carcinoma cells through a microphysiological system. Lab on a Chip. 24(14). 3434–3455. 3 indexed citations
3.
Cho, Ann‐Na, et al.. (2024). Proteome profiling of cerebrospinal fluid using machine learning shows a unique protein signature associated with APOE4 genotype. Aging Cell. 24(4). e14439–e14439. 1 indexed citations
4.
Martínez‐Mármol, Ramón, Rosina Giordano-Santini, Ann‐Na Cho, et al.. (2023). SARS-CoV-2 infection and viral fusogens cause neuronal and glial fusion that compromises neuronal activity. Science Advances. 9(23). eadg2248–eadg2248. 41 indexed citations
5.
Cho, Ann‐Na, Heather Wilkins, Shea J. Andrews, et al.. (2023). Blood-Based Transcriptomic Biomarkers Are Predictive of Neurodegeneration Rather Than Alzheimer’s Disease. International Journal of Molecular Sciences. 24(19). 15011–15011. 4 indexed citations
6.
Zhao, Yunduo Charles, Yingqi Zhang, Ann‐Na Cho, et al.. (2023). Novel Movable Typing for Personalized Vein‐Chips in Large Scale: Recapitulate Patient‐Specific Virchow's Triad and its Contribution to Cerebral Venous Sinus Thrombosis. Advanced Functional Materials. 33(23). 17 indexed citations
7.
Zhang, Yingqi, Yunduo Charles Zhao, Ann‐Na Cho, et al.. (2023). 3D spheroid-microvasculature-on-a-chip for tumor-endothelium mechanobiology interplay. Biomedical Materials. 18(5). 55008–55008. 6 indexed citations
8.
Lee, Jin-Young, Ann‐Na Cho, Andrew Lee, et al.. (2020). Chromatin Interaction Changes during the iPSC-NPC Model to Facilitate the Study of Biologically Significant Genes Involved in Differentiation. Genes. 11(10). 1176–1176. 2 indexed citations
9.
Choi, Won‐Young, Ann‐Na Cho, Andrew Lee, et al.. (2020). DNA Methylation of Intragenic CpG Islands are Required for Differentiation from iPSC to NPC. Stem Cell Reviews and Reports. 16(6). 1316–1327. 6 indexed citations
10.
Choi, Won‐Young, Ann‐Na Cho, Andrew Lee, et al.. (2020). NEUROD1 Intrinsically Initiates Differentiation of Induced Pluripotent Stem Cells into Neural Progenitor Cells. Molecules and Cells. 43(12). 1011–1022. 12 indexed citations
11.
Cho, Ann‐Na, Yoonhee Jin, Suran Kim, et al.. (2019). Aligned Brain Extracellular Matrix Promotes Differentiation and Myelination of Human-Induced Pluripotent Stem Cell-Derived Oligodendrocytes. ACS Applied Materials & Interfaces. 11(17). 15344–15353. 46 indexed citations
12.
Jin, Yoonhee, Jung-uk Lee, Eunna Chung, et al.. (2019). Magnetic Control of Axon Navigation in Reprogrammed Neurons. Nano Letters. 19(9). 6517–6523. 25 indexed citations
13.
Yang, Kisuk, Jong Seung Lee, Sewoon Han, et al.. (2019). Endothelial-neurosphere crosstalk in microwell arrays regulates self-renewal and differentiation of human neural stem cells. Journal of Industrial and Engineering Chemistry. 74. 148–157. 8 indexed citations
14.
Cho, Ann‐Na, et al.. (2018). DNA-mediated self-assembly of taste cells and neurons for taste signal transmission. Biomaterials Science. 6(12). 3388–3396. 15 indexed citations
15.
Kim, Suran, et al.. (2018). Organoids for Advanced Therapeutics and Disease Models. Advanced Therapeutics. 2(1). 27 indexed citations
16.
Jin, Yoonhee, Jung Seung Lee, Jin Kim, et al.. (2018). Three-dimensional brain-like microenvironments facilitate the direct reprogramming of fibroblasts into therapeutic neurons. Nature Biomedical Engineering. 2(7). 522–539. 92 indexed citations
17.
18.
Lee, Jung Seung, Ann‐Na Cho, Yoonhee Jin, et al.. (2017). Bio-artificial tongue with tongue extracellular matrix and primary taste cells. Biomaterials. 151. 24–37. 58 indexed citations
19.
Cho, Ann‐Na, et al.. (2015). Thermo-responsive polymeric nanoparticles for enhancing neuronal differentiation of human induced pluripotent stem cells. Nanomedicine Nanotechnology Biology and Medicine. 11(7). 1861–1869. 37 indexed citations
20.
Park, Hyun‐Ji, Seung Jung Yu, Kisuk Yang, et al.. (2014). Paper-based bioactive scaffolds for stem cell-mediated bone tissue engineering. Biomaterials. 35(37). 9811–9823. 90 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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