Chi‐Ju Kim

1.3k total citations
19 papers, 1.1k citations indexed

About

Chi‐Ju Kim is a scholar working on Molecular Biology, Cancer Research and Biomedical Engineering. According to data from OpenAlex, Chi‐Ju Kim has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Cancer Research and 7 papers in Biomedical Engineering. Recurrent topics in Chi‐Ju Kim's work include Extracellular vesicles in disease (9 papers), MicroRNA in disease regulation (5 papers) and Cancer Genomics and Diagnostics (4 papers). Chi‐Ju Kim is often cited by papers focused on Extracellular vesicles in disease (9 papers), MicroRNA in disease regulation (5 papers) and Cancer Genomics and Diagnostics (4 papers). Chi‐Ju Kim collaborates with scholars based in South Korea, United States and China. Chi‐Ju Kim's co-authors include Yoon‐Kyoung Cho, Juhee Park, Tae-Hyeong Kim, Vijaya Sunkara, Hyun‐Kyung Woo, Hyun-Il Choi, Yoon‐Keun Kim, Ja-Ryoung Han, Mi‐Hyun Kim and Sarah R. Amend and has published in prestigious journals such as ACS Nano, Analytical Chemistry and Cancer Research.

In The Last Decade

Chi‐Ju Kim

19 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chi‐Ju Kim South Korea 12 714 534 347 106 99 19 1.1k
Hyun‐Kyung Woo South Korea 10 597 0.8× 318 0.6× 291 0.8× 63 0.6× 32 0.3× 17 732
Tae-Hyeong Kim South Korea 17 575 0.8× 1.0k 1.9× 234 0.7× 78 0.7× 137 1.4× 19 1.4k
Yulong Cong China 10 596 0.8× 378 0.7× 199 0.6× 47 0.4× 37 0.4× 32 927
Xinggang Guo China 13 966 1.4× 275 0.5× 452 1.3× 49 0.5× 75 0.8× 26 1.1k
Kezhen Yi China 15 519 0.7× 338 0.6× 250 0.7× 89 0.8× 153 1.5× 28 917
Changliang Luo China 14 361 0.5× 206 0.4× 234 0.7× 64 0.6× 82 0.8× 19 645
Rebecca E. Lane Australia 9 821 1.1× 278 0.5× 412 1.2× 59 0.6× 38 0.4× 15 928
Taixue An China 15 1.3k 1.9× 400 0.7× 729 2.1× 76 0.7× 57 0.6× 27 1.6k
Byeong Hyeon Choi South Korea 13 681 1.0× 429 0.8× 196 0.6× 169 1.6× 44 0.4× 33 1.2k
Andrew Warren United States 13 406 0.6× 358 0.7× 98 0.3× 45 0.4× 99 1.0× 18 802

Countries citing papers authored by Chi‐Ju Kim

Since Specialization
Citations

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

Fields of papers citing papers by Chi‐Ju Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi‐Ju Kim. 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 Chi‐Ju Kim. The network helps show where Chi‐Ju Kim may publish in the future.

Co-authorship network of co-authors of Chi‐Ju Kim

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

All Works

19 of 19 papers shown
1.
Dong, Liang, Cong Hu, Zehua Ma, et al.. (2024). Urinary extracellular vesicle-derived miR-126-3p predicts lymph node invasion in patients with high-risk prostate cancer. Medical Oncology. 41(7). 169–169. 8 indexed citations
2.
Dong, Liang, Mingxiao Feng, Morgan D. Kuczler, et al.. (2024). Tumour tissue‐derived small extracellular vesicles reflect molecular subtypes of bladder cancer. Journal of Extracellular Vesicles. 13(2). e12402–e12402. 8 indexed citations
3.
Kim, Chi‐Ju, Anna Gonye, Cheng‐Fan Lee, et al.. (2023). Nuclear morphology predicts cell survival to cisplatin chemotherapy. Neoplasia. 42. 100906–100906. 16 indexed citations
4.
Haney, Nora M., Chi‐Ju Kim, Morgan D. Kuczler, et al.. (2023). Novel urinary tract obstruction marker discovery by multi-marker profiling of urinary extracellular vesicles derived from a rat UTO model.. PubMed. 11(2). 136–145. 1 indexed citations
5.
Kim, Chi‐Ju, Morgan D. Kuczler, Liang Dong, et al.. (2022). Extracellular Vesicle Uptake Assay <em>via</em> Confocal Microscope Imaging Analysis. Journal of Visualized Experiments. 3 indexed citations
6.
Gonye, Anna, Chi‐Ju Kim, Kenneth J. Pienta, & Sarah R. Amend. (2022). Abstract 140: Polyaneuploid prostate cancer cells induced via chemotherapy have predominantly large, single nuclei. Cancer Research. 82(12_Supplement). 140–140. 1 indexed citations
7.
Kim, Junyoung, Vijaya Sunkara, Jung‐Min Kim, et al.. (2022). Prediction of tumor metastasis via extracellular vesicles-treated platelet adhesion on a blood vessel chip. Lab on a Chip. 22(14). 2726–2740. 10 indexed citations
8.
Kim, Chi‐Ju, Liang Dong, Sarah R. Amend, Yoon‐Kyoung Cho, & Kenneth J. Pienta. (2021). The role of liquid biopsies in prostate cancer management. Lab on a Chip. 21(17). 3263–3288. 13 indexed citations
9.
Kim, Chi‐Ju, et al.. (2021). Fully automated light transmission aggregometry on a disc for platelet function tests. Lab on a Chip. 21(23). 4707–4715. 8 indexed citations
10.
11.
Kim, Chi‐Ju, Juhee Park, Vijaya Sunkara, et al.. (2020). Fully automated platelet isolation on a centrifugal microfluidic device for molecular diagnostics. Lab on a Chip. 20(5). 949–957. 23 indexed citations
12.
Dong, Liang, Richard C. Zieren, Kengo Horie, et al.. (2020). Comprehensive evaluation of methods for small extracellular vesicles separation from human plasma, urine and cell culture medium. Journal of Extracellular Vesicles. 10(2). e12044–e12044. 169 indexed citations
13.
Sunkara, Vijaya, Chi‐Ju Kim, Juhee Park, et al.. (2019). Fully Automated, Label-Free Isolation of Extracellular Vesicles from Whole Blood for Cancer Diagnosis and Monitoring. Theranostics. 9(7). 1851–1863. 84 indexed citations
14.
Kim, Chi‐Ju, Juhee Park, Vijaya Sunkara, et al.. (2018). Fully automated, on-site isolation of cfDNA from whole blood for cancer therapy monitoring. Lab on a Chip. 18(9). 1320–1329. 52 indexed citations
15.
Lim, Minji, Chi‐Ju Kim, Vijaya Sunkara, Mi‐Hyun Kim, & Yoon‐Kyoung Cho. (2018). Liquid Biopsy in Lung Cancer: Clinical Applications of Circulating Biomarkers (CTCs and ctDNA). Micromachines. 9(3). 100–100. 80 indexed citations
16.
Woo, Hyun‐Kyung, Vijaya Sunkara, Juhee Park, et al.. (2017). Exodisc for Rapid, Size-Selective, and Efficient Isolation and Analysis of Nanoscale Extracellular Vesicles from Biological Samples. ACS Nano. 11(2). 1360–1370. 307 indexed citations
17.
Kim, Tae-Hyeong, Chi‐Ju Kim, Yubin Kim, & Yoon‐Kyoung Cho. (2017). Centrifugal microfluidic system for a fully automated N-fold serial dilution. Sensors and Actuators B Chemical. 256. 310–317. 22 indexed citations
18.
Kim, Tae-Hyeong, Vijaya Sunkara, Juhee Park, et al.. (2016). A lab-on-a-disc with reversible and thermally stable diaphragm valves. Lab on a Chip. 16(19). 3741–3749. 40 indexed citations
19.
Kim, Tae-Hyeong, Juhee Park, Chi‐Ju Kim, & Yoon‐Kyoung Cho. (2014). Fully Integrated Lab-on-a-Disc for Nucleic Acid Analysis of Food-Borne Pathogens. Analytical Chemistry. 86(8). 3841–3848. 200 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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