Jina Ko

2.6k total citations
42 papers, 1.9k citations indexed

About

Jina Ko is a scholar working on Molecular Biology, Biomedical Engineering and Cancer Research. According to data from OpenAlex, Jina Ko has authored 42 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 14 papers in Biomedical Engineering and 11 papers in Cancer Research. Recurrent topics in Jina Ko's work include Extracellular vesicles in disease (21 papers), MicroRNA in disease regulation (10 papers) and Nanopore and Nanochannel Transport Studies (6 papers). Jina Ko is often cited by papers focused on Extracellular vesicles in disease (21 papers), MicroRNA in disease regulation (10 papers) and Nanopore and Nanochannel Transport Studies (6 papers). Jina Ko collaborates with scholars based in United States, South Korea and China. Jina Ko's co-authors include David Issadore, Ralph Weissleder, Erica L. Carpenter, Mikäel J. Pittet, Hakho Lee, Renee‐Tyler T. Morales, Stephanie S. Yee, Neha Bhagwat, Ben Z. Stanger and Taylor A. Black and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Jina Ko

40 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jina Ko United States 20 1.3k 610 583 231 165 42 1.9k
Partha Ray United States 20 1.5k 1.1× 222 0.4× 381 0.7× 93 0.4× 387 2.3× 49 2.3k
Ern Yu Tan Singapore 24 916 0.7× 207 0.3× 682 1.2× 116 0.5× 571 3.5× 63 2.0k
Katalin Szabó-Taylor Hungary 14 1.6k 1.3× 281 0.5× 743 1.3× 104 0.5× 67 0.4× 17 1.8k
Hyunku Shin South Korea 15 853 0.7× 518 0.8× 234 0.4× 55 0.2× 39 0.2× 24 1.3k
Junhu Zhou China 26 1.4k 1.1× 386 0.6× 866 1.5× 65 0.3× 135 0.8× 62 2.2k
Elisa Lázaro‐Ibáñez Finland 19 2.2k 1.7× 394 0.6× 1.2k 2.0× 92 0.4× 53 0.3× 24 2.4k
Peng Qiu China 13 1.4k 1.1× 365 0.6× 214 0.4× 129 0.6× 396 2.4× 55 2.4k
Tatiana Shtam Russia 17 1.3k 1.0× 178 0.3× 859 1.5× 68 0.3× 41 0.2× 57 1.5k
Dennis Jones United States 22 723 0.6× 433 0.7× 304 0.5× 242 1.0× 1.0k 6.2× 39 2.3k
Rick Conrad United States 5 1.7k 1.3× 268 0.4× 860 1.5× 77 0.3× 42 0.3× 7 1.9k

Countries citing papers authored by Jina Ko

Since Specialization
Citations

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

Fields of papers citing papers by Jina Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jina Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Jina Ko. A scholar is included among the top collaborators of Jina Ko 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 Jina Ko. Jina Ko 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.
Park, Juhwan, et al.. (2025). Advances in single extracellular vesicle characterization and multiplexed profiling. TrAC Trends in Analytical Chemistry. 195. 118588–118588.
2.
Roh, Yoon Ho, et al.. (2025). Vertically Aligned Nanowires for Longitudinal Intracellular Sampling. ACS Nano. 19(13). 13073–13083. 1 indexed citations
3.
Liu, Shujing, Yonghan Roh, Shrawan Kumar Mageswaran, et al.. (2025). Droplet Squeeze Microfluidic Platform for Generating Extracellular Vesicle Hybrids for Drug Delivery. Small. 21(37). e2503807–e2503807.
4.
Oh, Daniel, Min Cheng, Shujing Liu, et al.. (2025). Enhancing Chimeric Antigen Receptor T‐Cell Generation via Microfluidic Mechanoporation and Lipid Nanoparticles. Small. 21(17). e2410975–e2410975. 5 indexed citations
5.
Reynolds, David E., et al.. (2025). Temporal and spatial omics technologies for 4D profiling. Nature Methods. 22(7). 1408–1419. 4 indexed citations
6.
Oh, Daniel, et al.. (2024). Anti‐cancer bioactivity of sweet basil leaf derived extracellular vesicles on pancreatic cancer cells. SHILAP Revista de lepidopterología. 3(2). e142–e142. 9 indexed citations
7.
Roh, Yoon Ho, Renee‐Tyler T. Morales, David E. Reynolds, et al.. (2024). Squeezable Hydrogel Microparticles for Single Extracellular Vesicle Protein Profiling. Small. 21(1). e2407809–e2407809. 7 indexed citations
8.
Jin, Seongeon, et al.. (2024). Specific interaction between the DSPHTELP peptide and various functional groups. Physical Chemistry Chemical Physics. 26(31). 20760–20769. 1 indexed citations
9.
Zhu, Jinjin, Huaishan Wang, Liyun Dong, et al.. (2024). Programmed Death Ligand-1 in Melanoma and Extracellular Vesicles Promotes Local and Regional Immune Suppression through M2-like Macrophage Polarization. American Journal Of Pathology. 195(2). 306–320. 2 indexed citations
10.
Koo, Doyeon, Xiao Cheng, Sevana Baghdasarian, et al.. (2024). Optimizing cell therapy by sorting cells with high extracellular vesicle secretion. Nature Communications. 15(1). 4870–4870. 18 indexed citations
11.
Galanis, George, et al.. (2023). Single Extracellular Vesicle Analysis Using Droplet Microfluidics. Methods in molecular biology. 2689. 211–220. 4 indexed citations
12.
Reynolds, David E., Renee‐Tyler T. Morales, Daniel Oh, et al.. (2023). Equine mesenchymal stem cell derived extracellular vesicle immunopathology biomarker discovery. SHILAP Revista de lepidopterología. 2(6). e89–e89. 4 indexed citations
13.
Ko, Jina, Martin Wilkovitsch, Juhyun Oh, et al.. (2022). Spatiotemporal multiplexed immunofluorescence imaging of living cells and tissues with bioorthogonal cycling of fluorescent probes. Nature Biotechnology. 40(11). 1654–1662. 73 indexed citations
14.
Yang, Zijian, Michael J. LaRiviere, Jina Ko, et al.. (2020). A Multianalyte Panel Consisting of Extracellular Vesicle miRNAs and mRNAs, cfDNA, and CA19-9 Shows Utility for Diagnosis and Staging of Pancreatic Ductal Adenocarcinoma. Clinical Cancer Research. 26(13). 3248–3258. 87 indexed citations
15.
Ko, Jina, et al.. (2020). Seroprevalence of equine herpesvirus, equine influenza virus and Streptococcus equi subspecies equi in Jeju. Korean Journal of Veterinary Service. 43(2). 59–65. 1 indexed citations
16.
Ko, Jina, Juhyun Oh, Maaz S. Ahmed, Jonathan Carlson, & Ralph Weissleder. (2020). Ultra‐fast Cycling for Multiplexed Cellular Fluorescence Imaging. Angewandte Chemie. 132(17). 6906–6913. 9 indexed citations
17.
Muraoka, Satoshi, Annina M. DeLeo, Manveen K. Sethi, et al.. (2020). Proteomic and biological profiling of extracellular vesicles from Alzheimer's disease human brain tissues. Alzheimer s & Dementia. 16(6). 896–907. 149 indexed citations
18.
Ko, Jina, Matthew A. Hemphill, Zijian Yang, et al.. (2019). Multi-Dimensional Mapping of Brain-Derived Extracellular Vesicle MicroRNA Biomarker for Traumatic Brain Injury Diagnostics. Journal of Neurotrauma. 37(22). 2424–2434. 57 indexed citations
19.
Ko, Jina, Neha Bhagwat, Taylor A. Black, et al.. (2018). miRNA Profiling of Magnetic Nanopore–Isolated Extracellular Vesicles for the Diagnosis of Pancreatic Cancer. Cancer Research. 78(13). 3688–3697. 70 indexed citations
20.
Ko, Jina, Matthew A. Hemphill, Leon Wu, et al.. (2016). Smartphone-enabled optofluidic exosome diagnostic for concussion recovery. Scientific Reports. 6(1). 31215–31215. 65 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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