Yujin Kim

2.0k total citations · 1 hit paper
97 papers, 1.4k citations indexed

About

Yujin Kim is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Yujin Kim has authored 97 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 20 papers in Oncology and 14 papers in Immunology. Recurrent topics in Yujin Kim's work include Epigenetics and DNA Methylation (13 papers), Nanoplatforms for cancer theranostics (11 papers) and Cancer-related gene regulation (10 papers). Yujin Kim is often cited by papers focused on Epigenetics and DNA Methylation (13 papers), Nanoplatforms for cancer theranostics (11 papers) and Cancer-related gene regulation (10 papers). Yujin Kim collaborates with scholars based in South Korea, United States and China. Yujin Kim's co-authors include Duk-Hwan Kim, Sangyong Jon, Young Mog Shim, Joungho Han, Bo Bin Lee, Tae Woo Kim, Jaewook Myung, Hyeongseop Keum, Suk Ho Bhang and Jong Seung Kim and has published in prestigious journals such as Chemical Reviews, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Yujin Kim

88 papers receiving 1.4k citations

Hit Papers

Theranostic Fluorescent Probes 2024 2026 2025 2024 50 100 150 200
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. Theranostic Fluorescent Probes
    2024 233 citations Amit Sharma, Peter Verwilst et al. Chemical Reviews profile →

Peers

Yujin Kim
Fengming You China
Zijing Zhang China
Zhirong Zhong China
Sijia He China
Xiaoshu Zhou China
Sufang Zhou China
Huaqing Chen China
Yaxin Zheng China
Yi‐Chiang Hsu Taiwan
Fengming You China
Yujin Kim
Citations per year, relative to Yujin Kim Yujin Kim (= 1×) peers Fengming You

Countries citing papers authored by Yujin Kim

Since Specialization
Citations

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

Fields of papers citing papers by Yujin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yujin Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Yujin Kim. A scholar is included among the top collaborators of Yujin 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 Yujin Kim. Yujin Kim 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.
Bae, Donghyuck, Dool-Ri Oh, Yujin Kim, et al.. (2025). TLR4/NF-κB-Mediated Anti-Inflammatory and Cognitive Protective Actions of Curcuma longa and Ar-turmerone in Alzheimer’s Disease Models. Journal of Microbiology and Biotechnology. 35. e2506044–e2506044.
2.
Gong, Jiankang, Xiaoyu Wang, Jiao Wu, et al.. (2024). Diaminonaphthalene Boronic Acid (DANBA): New Approach for Peroxynitrite Sensing Site. Angewandte Chemie International Edition. 63(49). e202409295–e202409295. 14 indexed citations
3.
Kim, Dohyeon, Chang‐Hee Whang, Wonsik Jung, et al.. (2024). Glycocalyx‐Mimicking Nanoparticles with Differential Organ Selectivity for Drug Delivery and Therapy (Adv. Mater. 27/2024). Advanced Materials. 36(27). 1 indexed citations
4.
Cho, Young Seok, et al.. (2024). CXCR4-Targeted Macrophage-Derived Biomimetic Hybrid Vesicle Nanoplatform for Enhanced Cancer Therapy through Codelivery of Manganese and Doxorubicin. ACS Applied Materials & Interfaces. 16(14). 17129–17144. 17 indexed citations
5.
Whang, Chang‐Hee, Wonsik Jung, Yujin Kim, et al.. (2024). Glycocalyx‐Mimicking Nanoparticles with Differential Organ Selectivity for Drug Delivery and Therapy. Advanced Materials. 36(27). e2311283–e2311283. 9 indexed citations
6.
Sharma, Amit, Peter Verwilst, Mingle Li, et al.. (2024). Theranostic Fluorescent Probes. Chemical Reviews. 124(5). 2699–2804. 233 indexed citations breakdown →
7.
Kim, Yujin, et al.. (2024). Neoantigen‐Displaying Protein Nanoparticles as a Therapeutic Cancer Vaccine Against Melanoma. Advanced Healthcare Materials. 14(4). e2404316–e2404316. 2 indexed citations
8.
Park, Jung Hwan, Ju‐Ro Lee, Sungkwon Park, et al.. (2023). Subaqueous 3D stem cell spheroid levitation culture using anti-gravity bioreactor based on sound wave superposition. Biomaterials Research. 27(1). 51–51. 17 indexed citations
9.
10.
Kim, Yujin, et al.. (2023). Liposomal Delivery of an Immunostimulatory CpG Induces Robust Antitumor Immunity and Long‐Term Immune Memory by Reprogramming Tumor‐Associated Macrophages. Advanced Healthcare Materials. 13(6). e2300549–e2300549. 10 indexed citations
11.
Yu, Byeongjun, Dohyun Yoo, Ki Hyun Kim, et al.. (2022). Effective Combination Immunotherapy through Vessel Normalization Using a Cancer‐Targeting Antiangiogenic Peptide–Antibody Hybrid. Advanced Therapeutics. 5(4). 1 indexed citations
12.
Kim, Tae Woo, Yujin Kim, Hyeongseop Keum, et al.. (2022). Combination of a STAT3 inhibitor with anti-PD-1 immunotherapy is an effective treatment regimen for a vemurafenib-resistant melanoma. Molecular Therapy — Oncolytics. 26. 1–14. 17 indexed citations
13.
Song, Kyoung, Nirmal Rajasekaran, Chaithanya Chelakkot, et al.. (2021). Macrosphelide A Exhibits a Specific Anti-Cancer Effect by Simultaneously Inactivating ENO1, ALDOA, and FH. Pharmaceuticals. 14(10). 1060–1060. 6 indexed citations
14.
Kang, Sukmo, et al.. (2021). Antigen-Presenting, Self-Assembled Protein Nanobarrels as an Adjuvant-Free Vaccine Platform against Influenza Virus. ACS Nano. 15(6). 10722–10732. 19 indexed citations
15.
Kim, Yujin, Sukmo Kang, Tae Woo Kim, et al.. (2020). Sequential and Timely Combination of a Cancer Nanovaccine with Immune Checkpoint Blockade Effectively Inhibits Tumor Growth and Relapse. Angewandte Chemie. 132(34). 14736–14746. 9 indexed citations
16.
Kim, Yujin, Sukmo Kang, Tae Woo Kim, et al.. (2020). Sequential and Timely Combination of a Cancer Nanovaccine with Immune Checkpoint Blockade Effectively Inhibits Tumor Growth and Relapse. Angewandte Chemie International Edition. 59(34). 14628–14638. 51 indexed citations
17.
Yu, Byeongjun, Hyungjun Kim, Yonghyun Lee, et al.. (2019). A Hybrid Platform Based on a Bispecific Peptide–Antibody Complex for Targeted Cancer Therapy. Angewandte Chemie. 131(7). 2027–2032. 3 indexed citations
18.
Yu, Byeongjun, Hyungjun Kim, Yonghyun Lee, et al.. (2019). A Hybrid Platform Based on a Bispecific Peptide–Antibody Complex for Targeted Cancer Therapy. Angewandte Chemie International Edition. 58(7). 2005–2010. 10 indexed citations
19.
Lee, Bo Bin, Yujin Kim, Eun Ju Lee, et al.. (2013). Association of RASSF1A and p63 with Poor Recurrence-Free Survival in Node-Negative Stage I–II Non–Small Cell Lung Cancer. Clinical Cancer Research. 19(5). 1204–1212. 24 indexed citations
20.
Kim, Hyun Soo, Geun‐Hyoung Ha, Hye-Young Park, et al.. (2008). Functional Interaction between BubR1 and Securin in an Anaphase-Promoting Complex/CyclosomeCdc20–Independent Manner. Cancer Research. 69(1). 27–36. 13 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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