Sangmin Kim

5.4k total citations · 1 hit paper
142 papers, 4.1k citations indexed

About

Sangmin Kim is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Sangmin Kim has authored 142 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Oncology, 42 papers in Molecular Biology and 35 papers in Cancer Research. Recurrent topics in Sangmin Kim's work include Breast Cancer Treatment Studies (21 papers), Breast Lesions and Carcinomas (16 papers) and Plant Virus Research Studies (16 papers). Sangmin Kim is often cited by papers focused on Breast Cancer Treatment Studies (21 papers), Breast Lesions and Carcinomas (16 papers) and Plant Virus Research Studies (16 papers). Sangmin Kim collaborates with scholars based in South Korea, United States and Austria. Sangmin Kim's co-authors include Jeong Eon Lee, Seok Jin Nam, Jung‐Han Kim, Jee Soo Kim, Myeongjin Jeon, Se Kyung Lee, Woong‐Yang Park, Wonshik Han, Hae‐Ock Lee and Soo Youn Bae and has published in prestigious journals such as Nature Communications, ACS Nano and PLoS ONE.

In The Last Decade

Sangmin Kim

138 papers receiving 4.0k citations

Hit Papers

Single-cell RNA-seq enabl... 2017 2026 2020 2023 2017 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sangmin Kim South Korea 36 1.7k 1.2k 1.1k 534 522 142 4.1k
Kin‐Mang Lau Hong Kong 34 1.6k 0.9× 545 0.5× 765 0.7× 399 0.7× 684 1.3× 82 3.9k
Gregory V. Kryukov United States 36 5.1k 2.9× 989 0.8× 1.4k 1.3× 525 1.0× 509 1.0× 46 9.2k
Yaoqin Gong China 40 3.5k 2.0× 781 0.7× 951 0.8× 273 0.5× 262 0.5× 146 5.2k
Angela L. Tyner United States 46 5.1k 3.0× 2.5k 2.1× 892 0.8× 495 0.9× 417 0.8× 91 6.8k
Pirkko Härkönen Finland 46 3.2k 1.8× 2.0k 1.6× 935 0.8× 362 0.7× 869 1.7× 140 6.4k
Melchiorre Cervello Italy 44 3.4k 2.0× 1.3k 1.1× 1.1k 0.9× 494 0.9× 367 0.7× 137 6.0k
Xiao‐Feng Zhu China 36 3.0k 1.8× 1.0k 0.9× 1.2k 1.0× 287 0.5× 346 0.7× 145 5.1k
Vito Michele Fazio Italy 39 3.3k 1.9× 779 0.7× 992 0.9× 279 0.5× 320 0.6× 167 5.3k
Saverio Candido Italy 31 2.2k 1.2× 1.1k 0.9× 996 0.9× 202 0.4× 442 0.8× 80 3.7k

Countries citing papers authored by Sangmin Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sangmin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangmin Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sangmin Kim. A scholar is included among the top collaborators of Sangmin 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 Sangmin Kim. Sangmin 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.
Yoon, Sun Young, Yisun Jeong, Se Kyung Lee, et al.. (2025). 17β-Estradiol Promotes Tumorigenicity Through an Autocrine AREG/EGFR Loop in ER-α-Positive Breast Cancer Cells. Cells. 14(10). 703–703.
2.
Park, Chan-Yong, Kibum Kim, Yerin Kim, et al.. (2024). Plant-Derived Anti-Human Epidermal Growth Factor Receptor 2 Antibody Suppresses Trastuzumab-Resistant Breast Cancer with Enhanced Nanoscale Binding. ACS Nano. 18(25). 16126–16140. 10 indexed citations
3.
Park, Chan-Yong, Wanyoung Lim, Jeonghun Han, et al.. (2024). Efficient separation of large particles and giant cancer cells using an isosceles trapezoidal spiral microchannel. The Analyst. 149(17). 4496–4505. 1 indexed citations
4.
Kim, Han Gyung, Ji Hye Kim, Kyung‐Hee Kim, et al.. (2024). METTL18 functions as a Phenotypic Regulator in Src-Dependent Oncogenic Responses of HER2-Negative Breast Cancer. International Journal of Biological Sciences. 20(12). 4731–4749. 2 indexed citations
6.
You, Daeun, Hyungjoo Kim, Yisun Jeong, et al.. (2023). Tumorigenicity of EGFR- and/or HER2-Positive Breast Cancers Is Mediated by Recruitment of Tumor-Associated Macrophages. International Journal of Molecular Sciences. 24(2). 1443–1443. 8 indexed citations
7.
Jo, Yeonhwa, et al.. (2023). Exploring Tomato Fruit Viromes through Transcriptome Data Analysis. Viruses. 15(11). 2139–2139. 1 indexed citations
8.
Lim, Wanyoung, Jiande Zhang, Zhenzhong Chen, et al.. (2023). Exploration of drug resistance mechanisms in triple negative breast cancer cells using a microfluidic device and patient tissues. eLife. 12. 6 indexed citations
9.
Jeong, Yisun, Soo Youn Bae, Daeun You, et al.. (2019). EGFR is a Therapeutic Target in Hormone Receptor-Positive Breast Cancer. Cellular Physiology and Biochemistry. 53(5). 805–819. 32 indexed citations
10.
Han, Kyung Yeon, Kyu‐Tae Kim, Je‐Gun Joung, et al.. (2017). SIDR: simultaneous isolation and parallel sequencing of genomic DNA and total RNA from single cells. Genome Research. 28(1). 75–87. 99 indexed citations
11.
You, Daeun, Seung Pil Jung, Yisun Jeong, et al.. (2017). Fibronectin expression is upregulated by PI-3K/Akt activation in tamoxifen-resistant breast cancer cells. BMB Reports. 50(12). 615–620. 20 indexed citations
12.
Kim, Sangmin, et al.. (2015). Differential effect of EGFR inhibitors on tamoxifen-resistant breast cancer cells. Oncology Reports. 34(3). 1613–1619. 23 indexed citations
13.
Kim, Sangmin, et al.. (2015). Association between Vitamin D and Serum Cholesterol. 5(4). 441–446. 1 indexed citations
14.
Kim, Sangmin, Jeonghun Han, Incheol Shin, et al.. (2012). A functional comparison between the HER2high/HER3 and the HER2low/HER3 dimers on heregulin-β1-induced MMP-1 and MMP-9 expression in breast cancer cells. Experimental & Molecular Medicine. 44(8). 473–473. 16 indexed citations
15.
Kim, Wan Wook, Jee Soo Kim, Sung Mo Hur, et al.. (2011). Is Robotic Surgery Superior to Endoscopic and Open Surgeries in Thyroid Cancer?. World Journal of Surgery. 35(4). 779–784. 96 indexed citations
16.
Manigbas, Norvie L., Dong-Soo Park, Soo-Kwon Park, et al.. (2011). Enhanced Tolerance of Transgenic Rice Overexpressing Arabidopsis thaliana Nucleoside Diphosphate Kinase (AtNDPK2) against Various Environmental Stresses. Philippine Agricultural Scientist. 94(1). 5 indexed citations
17.
Manigbas, Norvie L., et al.. (2011). Rapid evaluation protocol for hydrogen peroxide and ultraviolet radiation resistance using lesion mimic mutant rice (Oryza sativa L.).. Crop protection newsletter. 36(1). 19–27. 2 indexed citations
19.
Park, Soo-Kwon, et al.. (2010). Agronomic and chemical properties of a new black waxy giant embryo mutant, Milyang 263, in rice (Oryza sativa L.).. Korean Journal of Breeding Science. 42(5). 463–469. 2 indexed citations
20.
Kim, Sangmin, Min Gew Choi, Se Kyung Lee, et al.. (2009). Silibinin Suppresses TNF-α-Induced MMP-9 Expression in Gastric Cancer Cells through Inhibition of the MAPK Pathway. Molecules. 14(11). 4300–4311. 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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