Yeon Woong Choo

1.3k total citations · 1 hit paper
7 papers, 1.1k citations indexed

About

Yeon Woong Choo is a scholar working on Molecular Biology, Biomedical Engineering and Surgery. According to data from OpenAlex, Yeon Woong Choo has authored 7 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Biomedical Engineering and 2 papers in Surgery. Recurrent topics in Yeon Woong Choo's work include Extracellular vesicles in disease (3 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Advanced Biosensing Techniques and Applications (1 paper). Yeon Woong Choo is often cited by papers focused on Extracellular vesicles in disease (3 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Advanced Biosensing Techniques and Applications (1 paper). Yeon Woong Choo collaborates with scholars based in South Korea, Sudan and Hong Kong. Yeon Woong Choo's co-authors include Byung‐Soo Kim, Han Young Kim, Mikyung Kang, Seuk Young Song, Sung Pil Kwon, Ju‐Ro Lee, Gun‐Jae Jeong, Jin Han, Jihye Hong and Seokhyeong Go and has published in prestigious journals such as Nano Letters, ACS Nano and Advanced Functional Materials.

In The Last Decade

Yeon Woong Choo

7 papers receiving 1.1k citations

Hit Papers

M1 Macrophage-Derived Nanovesicles Potentiate the Antican... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yeon Woong Choo South Korea 7 543 475 275 195 189 7 1.1k
Ju‐Ro Lee South Korea 16 621 1.1× 521 1.1× 277 1.0× 217 1.1× 233 1.2× 29 1.3k
Sung Pil Kwon South Korea 15 705 1.3× 499 1.1× 442 1.6× 232 1.2× 207 1.1× 22 1.4k
Xinchi Jiang China 23 908 1.7× 518 1.1× 149 0.5× 237 1.2× 390 2.1× 41 1.6k
Marco Campisi United States 11 648 1.2× 604 1.3× 290 1.1× 257 1.3× 161 0.9× 14 1.6k
Shengwei Han China 13 332 0.6× 563 1.2× 104 0.4× 114 0.6× 155 0.8× 20 1.0k
Honghui Wu China 18 495 0.9× 466 1.0× 110 0.4× 87 0.4× 299 1.6× 34 1.1k
Katherine Wu United States 14 548 1.0× 284 0.6× 90 0.3× 237 1.2× 131 0.7× 18 1.3k
Seokyung Kang South Korea 15 424 0.8× 685 1.4× 245 0.9× 116 0.6× 275 1.5× 18 1.1k
Xiuxing Chen China 11 569 1.0× 370 0.8× 124 0.5× 379 1.9× 206 1.1× 18 1.5k
Gaia Zuccolotto Italy 16 300 0.6× 201 0.4× 144 0.5× 99 0.5× 133 0.7× 28 878

Countries citing papers authored by Yeon Woong Choo

Since Specialization
Citations

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

Fields of papers citing papers by Yeon Woong Choo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yeon Woong Choo. 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 Yeon Woong Choo. The network helps show where Yeon Woong Choo may publish in the future.

Co-authorship network of co-authors of Yeon Woong Choo

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

All Works

7 of 7 papers shown
1.
Lee, Ju‐Ro, Bong‐Woo Park, Jonghoon Kim, et al.. (2020). Nanovesicles derived from iron oxide nanoparticles–incorporated mesenchymal stem cells for cardiac repair. Science Advances. 6(18). eaaz0952–eaaz0952. 145 indexed citations
2.
Choo, Yeon Woong, Juhee Jeong, & Keehoon Jung. (2020). Recent advances in intravital microscopy for investigation of dynamic cellular behavior in vivo. BMB Reports. 53(7). 357–366. 27 indexed citations
3.
Kim, Han Young, Mikyung Kang, Yeon Woong Choo, et al.. (2019). Immunomodulatory Lipocomplex Functionalized with Photosensitizer-Embedded Cancer Cell Membrane Inhibits Tumor Growth and Metastasis. Nano Letters. 19(8). 5185–5193. 84 indexed citations
4.
Kim, Han Young, Hemant Kumar, Min‐Jae Jo, et al.. (2018). Therapeutic Efficacy-Potentiated and Diseased Organ-Targeting Nanovesicles Derived from Mesenchymal Stem Cells for Spinal Cord Injury Treatment. Nano Letters. 18(8). 4965–4975. 158 indexed citations
5.
Choo, Yeon Woong, Mikyung Kang, Han Young Kim, et al.. (2018). M1 Macrophage-Derived Nanovesicles Potentiate the Anticancer Efficacy of Immune Checkpoint Inhibitors. ACS Nano. 12(9). 8977–8993. 381 indexed citations breakdown →
6.
Han, Jin, Yong Sook Kim, Min-Young Lim, et al.. (2018). Dual Roles of Graphene Oxide To Attenuate Inflammation and Elicit Timely Polarization of Macrophage Phenotypes for Cardiac Repair. ACS Nano. 12(2). 1959–1977. 217 indexed citations
7.
Yoon, Jeong‐Kee, Mrinmoy Misra, Seung Jung Yu, et al.. (2017). Thermosensitive, Stretchable, and Piezoelectric Substrate for Generation of Myogenic Cell Sheet Fragments from Human Mesenchymal Stem Cells for Skeletal Muscle Regeneration. Advanced Functional Materials. 27(48). 50 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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