Inki Kim

3.4k total citations · 1 hit paper
54 papers, 2.7k citations indexed

About

Inki Kim is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Inki Kim has authored 54 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 13 papers in Oncology and 8 papers in Cell Biology. Recurrent topics in Inki Kim's work include Cell death mechanisms and regulation (8 papers), Endoplasmic Reticulum Stress and Disease (6 papers) and Histone Deacetylase Inhibitors Research (5 papers). Inki Kim is often cited by papers focused on Cell death mechanisms and regulation (8 papers), Endoplasmic Reticulum Stress and Disease (6 papers) and Histone Deacetylase Inhibitors Research (5 papers). Inki Kim collaborates with scholars based in South Korea, United States and Vietnam. Inki Kim's co-authors include Wenjie Xu, John C. Reed, Nayoung Suh, Shin Bi Oh, Joo‐Yong Lee, Jung-Woo Seo, Sohee Kim, Sujeong Kim, Sojung Park and Chung-Wai Shiau and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Inki Kim

52 papers receiving 2.7k citations

Hit Papers

Cell death and endoplasmic reticulum stress: disease rele... 2008 2026 2014 2020 2008 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Inki Kim South Korea 17 1.3k 1.1k 674 298 251 54 2.7k
Katarzyna Mnich Ireland 17 1.6k 1.2× 1.1k 1.0× 538 0.8× 298 1.0× 157 0.6× 24 2.7k
Yuxian Shen China 34 1.7k 1.2× 1.1k 1.0× 875 1.3× 431 1.4× 251 1.0× 131 3.7k
Juha M. T. Hyttinen Finland 29 1.8k 1.4× 753 0.7× 823 1.2× 255 0.9× 152 0.6× 62 3.4k
Marc Germain Canada 25 2.5k 1.9× 652 0.6× 714 1.1× 253 0.8× 130 0.5× 48 3.5k
Masayuki Kaneko Japan 33 1.6k 1.2× 1.6k 1.5× 930 1.4× 329 1.1× 380 1.5× 98 3.6k
Takayuki Manabe Japan 24 1.3k 1.0× 821 0.8× 443 0.7× 239 0.8× 263 1.0× 76 2.5k
Peter Vangheluwe Belgium 34 1.9k 1.4× 590 0.5× 404 0.6× 155 0.5× 213 0.8× 86 3.2k
Seonghyang Sohn South Korea 32 1.3k 1.0× 486 0.4× 488 0.7× 536 1.8× 161 0.6× 110 3.8k
Donna J. Thuerauf United States 34 2.5k 1.9× 1.9k 1.7× 986 1.5× 365 1.2× 520 2.1× 47 4.2k
Federica Poletti Italy 12 1.9k 1.4× 480 0.4× 411 0.6× 177 0.6× 115 0.5× 12 2.8k

Countries citing papers authored by Inki Kim

Since Specialization
Citations

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

Fields of papers citing papers by Inki Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inki Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Inki Kim. A scholar is included among the top collaborators of Inki 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 Inki Kim. Inki 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
2.
Lee, Jin Woo, et al.. (2024). Yeast-derived particulate beta-glucan induced angiogenesis via regulating PI3K/Src and ERK1/2 signaling pathway. International Journal of Biological Macromolecules. 269(Pt 2). 131884–131884. 1 indexed citations
3.
Park, Sojung, et al.. (2024). High-throughput drug screening using a library of antibiotics targeting cancer cell lines that are resistant and sensitive to gemcitabine. Biochemical and Biophysical Research Communications. 730. 150369–150369. 1 indexed citations
4.
Lee, Jin Woo, Inki Kim, Dong‐Cheol Woo, et al.. (2022). Angiogenic adipokine C1q-TNF–related protein 9 ameliorates myocardial infarction via histone deacetylase 7–mediated MEF2 activation. Science Advances. 8(48). eabq0898–eabq0898. 15 indexed citations
5.
Lee, Seung Min, et al.. (2022). Yeast beta-glucan mediates histone deacetylase 5-induced angiogenesis in vascular endothelial cells. International Journal of Biological Macromolecules. 211. 556–567. 13 indexed citations
6.
Kim, Inki, Hye‐Jin Lee, Hyun Ju Oh, et al.. (2022). Clinical characteristics of neonatal cholestasis in a tertiary hospital and the development of a novel prediction model for mortality. EBioMedicine. 77. 103890–103890. 7 indexed citations
7.
8.
Oh, Seak Hee, Hye‐Jin Lee, In‐Jeoung Baek, et al.. (2021). Multiplex gene targeting in the mouse embryo using a Cas9-Cpf1 hybrid guide RNA. Biochemical and Biophysical Research Communications. 539. 48–55. 4 indexed citations
9.
Jin, Hyung‐seung, Dong-Hee Lee, Inki Kim, et al.. (2020). CD226hiCD8+ T Cells Are a Prerequisite for Anti-TIGIT Immunotherapy. Cancer Immunology Research. 8(7). 912–925. 62 indexed citations
11.
Nguyen, Minh Tan, Sunju Lee, Inki Kim, et al.. (2017). Soluble Prokaryotic Expression and Purification of Bioactive Tumor Necrosis Factor-Related Apoptosis-Inducing Ligand. Journal of Microbiology and Biotechnology. 27(12). 2156–2164. 5 indexed citations
12.
Seol, Hyang Sook, Sang Eun Lee, Joon Seon Song, et al.. (2016). Glutamate release inhibitor, Riluzole, inhibited proliferation of human hepatocellular carcinoma cells by elevated ROS production. Cancer Letters. 382(2). 157–165. 34 indexed citations
13.
Doan, Khanh V., Ann W. Kinyua, Dong Yang, et al.. (2016). FoxO1 in dopaminergic neurons regulates energy homeostasis and targets tyrosine hydroxylase. Nature Communications. 7(1). 12733–12733. 39 indexed citations
14.
Lee, Kwang Min, Sojung Park, Yoo Duk Choi, et al.. (2015). Depletion of the cereblon gene activates the unfolded protein response and protects cells from ER stress-induced cell death. Biochemical and Biophysical Research Communications. 458(1). 34–39. 13 indexed citations
15.
Jung, Joohee, Seong‐Yun Jeong, Seok Soon Park, et al.. (2014). A cisplatin-incorporated liposome that targets the epidermal growth factor receptor enhances radiotherapeutic efficacy without nephrotoxicity. International Journal of Oncology. 46(3). 1268–1274. 13 indexed citations
16.
Hong, Mina, Hyung‐Ryong Kim, & Inki Kim. (2014). Ribosomal protein L19 overexpression activates the unfolded protein response and sensitizes MCF7 breast cancer cells to endoplasmic reticulum stress-induced cell death. Biochemical and Biophysical Research Communications. 450(1). 673–678. 33 indexed citations
18.
Chen, Kuen‐Feng, Jung-Chen Su, Chun‐Yu Liu, et al.. (2012). Development of erlotinib derivatives as CIP2A-ablating agents independent of EGFR activity. Bioorganic & Medicinal Chemistry. 20(20). 6144–6153. 35 indexed citations
19.
Kim, Inki, Wenjie Xu, & John C. Reed. (2008). Cell death and endoplasmic reticulum stress: disease relevance and therapeutic opportunities. Nature Reviews Drug Discovery. 7(12). 1013–1030. 1535 indexed citations breakdown →
20.
Woo, Ha‐Na, Chul-Woong Chung, Inki Kim, et al.. (2004). Inhibition of Bcl10‐mediated activation of NF‐κB by BinCARD, a Bcl10‐interacting CARD protein. FEBS Letters. 578(3). 239–244. 15 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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