Mee Song

1.6k total citations
64 papers, 1.3k citations indexed

About

Mee Song is a scholar working on Molecular Biology, Materials Chemistry and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Mee Song has authored 64 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 19 papers in Materials Chemistry and 14 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Mee Song's work include Zeolite Catalysis and Synthesis (10 papers), Carcinogens and Genotoxicity Assessment (9 papers) and Effects and risks of endocrine disrupting chemicals (7 papers). Mee Song is often cited by papers focused on Zeolite Catalysis and Synthesis (10 papers), Carcinogens and Genotoxicity Assessment (9 papers) and Effects and risks of endocrine disrupting chemicals (7 papers). Mee Song collaborates with scholars based in South Korea, United States and Sweden. Mee Song's co-authors include Jae‐Chun Ryu, Kyung Byung Yoon, In Chul Hwang, Youn‐Jung Kim, Yong‐Keun Park, Peter Oleynikov, Youn‐Jung Kim, Tung Cao Thanh Pham, Dohyun Moon and Do Young Choi and has published in prestigious journals such as Journal of the American Chemical Society, Nano Letters and Environmental Science & Technology.

In The Last Decade

Mee Song

63 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mee Song South Korea 19 557 421 208 190 145 64 1.3k
Guixiang Zeng China 24 243 0.4× 602 1.4× 236 1.1× 33 0.2× 74 0.5× 72 1.4k
Jinmei Yang China 19 519 0.9× 138 0.3× 469 2.3× 61 0.3× 105 0.7× 55 1.5k
Chuanqi Zhang China 21 670 1.2× 544 1.3× 163 0.8× 16 0.1× 84 0.6× 71 1.3k
Xianyu Meng China 21 668 1.2× 360 0.9× 201 1.0× 34 0.2× 50 0.3× 40 1.4k
Fang Wei China 29 316 0.6× 165 0.4× 572 2.8× 159 0.8× 94 0.6× 97 2.6k
Thanapon Sangvanich United States 13 680 1.2× 449 1.1× 274 1.3× 91 0.5× 37 0.3× 20 1.8k
Junyi Chen China 23 242 0.4× 161 0.4× 271 1.3× 46 0.2× 94 0.6× 100 2.0k
Mohamed A. Salem Egypt 24 661 1.2× 87 0.2× 267 1.3× 30 0.2× 193 1.3× 91 1.8k
Qingqing Xiao China 18 255 0.5× 261 0.6× 187 0.9× 50 0.3× 42 0.3× 60 1.5k
Mani Salarian United States 22 226 0.4× 214 0.5× 186 0.9× 134 0.7× 30 0.2× 35 1.6k

Countries citing papers authored by Mee Song

Since Specialization
Citations

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

Fields of papers citing papers by Mee Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mee Song

This figure shows the co-authorship network connecting the top 25 collaborators of Mee Song. A scholar is included among the top collaborators of Mee Song 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 Mee Song. Mee Song 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.
Pawar, Amol U., Ramesh Poonchi Sivasankaran, Mee Song, et al.. (2025). A Strategic Approach for Carbon Neutrality by Solar CO 2 Reduction Into Liquid Fuels. Carbon Energy. 7(12). 1 indexed citations
2.
Yang, Long, et al.. (2024). Highly Selective Solar CO2 Conversion into Formic Acid in Nickel‐Perylene‐C3N4 Semiconductor Photocatalyst. Advanced Energy Materials. 15(3). 4 indexed citations
3.
Jeong, Euna, Choa Park, Ju‐Yeon Cho, et al.. (2019). Dissecting phenotypic responses of the druggable targetome in cancers. Scientific Reports. 9(1). 12513–12513. 3 indexed citations
4.
Jeong, Euna, et al.. (2017). Transcriptome modeling and phenotypic assays for cancer precision medicine. Archives of Pharmacal Research. 40(8). 906–914. 5 indexed citations
5.
Kim, Nayoung, Hwa Young Yim, Ningning He, et al.. (2016). Cardiac glycosides display selective efficacy for STK11 mutant lung cancer. Scientific Reports. 6(1). 29721–29721. 30 indexed citations
6.
Song, Mee, et al.. (2015). Analysis of image-based phenotypic parameters for high throughput gene perturbation assays. Computational Biology and Chemistry. 58. 192–198. 5 indexed citations
7.
Kim, Nayoung, et al.. (2015). Differential regulation and synthetic lethality of exclusive RB1 and CDKN2A mutations in lung cancer. International Journal of Oncology. 48(1). 367–375. 17 indexed citations
8.
He, Ningning, Nayoung Kim, Mee Song, et al.. (2014). Integrated Analysis of Transcriptomes of Cancer Cell Lines and Patient Samples Reveals STK11/LKB1–Driven Regulation of cAMP Phosphodiesterase-4D. Molecular Cancer Therapeutics. 13(10). 2463–2473. 13 indexed citations
9.
Song, Mee, et al.. (2013). Monitoring of deiodinase deficiency based on transcriptomic responses in SH-SY5Y cells. Archives of Toxicology. 87(6). 1103–1113. 8 indexed citations
10.
Song, Mi‐Kyung, et al.. (2012). Identification of molecular signatures predicting the carcinogenicity of polycyclic aromatic hydrocarbons (PAHs). Toxicology Letters. 212(1). 18–28. 41 indexed citations
11.
Song, Mee, Youn‐Jung Kim, Yong‐Keun Park, & Jae‐Chun Ryu. (2012). Changes in thyroid peroxidase activity in response to various chemicals. Journal of Environmental Monitoring. 14(8). 2121–2121. 74 indexed citations
13.
Song, Mee, Youn‐Jung Kim, & Jae‐Chun Ryu. (2010). Phospholipidosis Induced by PPARγ Signaling in Human Bronchial Epithelial (BEAS-2B) Cells Exposed to Amiodarone. Toxicological Sciences. 120(1). 98–108. 23 indexed citations
14.
Kim, Sun Jung, et al.. (2010). Enhanced Catalytic Performance of Copper-Exchanged SAPO-34 Molecular Sieve in Methanol-to-Olefin Reaction. Journal of Nanoscience and Nanotechnology. 10(1). 147–157. 7 indexed citations
15.
Sarma, Sailendra Nath, Youn‐Jung Kim, Mee Song, & Jae‐Chun Ryu. (2010). Induction of apoptosis in human leukemia cells through the production of reactive oxygen species and activation of HMOX1 and Noxa by benzene, toluene, and o-xylene. Toxicology. 280(3). 109–117. 28 indexed citations
16.
Kim, Youn‐Jung, Mee Song, & Jae‐Chun Ryu. (2009). Mechanisms underlying methotrexate-induced pulmonary toxicity. Expert Opinion on Drug Safety. 8(4). 451–458. 32 indexed citations
17.
Lee, Ha-Eun, et al.. (2007). Expression Analysis of Genes Related to Cardiovascular Toxicity of Doxorubicin and Daunorubicin in Human Umbilical Vein Endothelial Cells (HUVECs). 156–156. 1 indexed citations
18.
Song, Mee, et al.. (2005). Understanding the structural characteristics of compstatin by conformational space annealing. Biophysical Chemistry. 115(2-3). 201–207. 4 indexed citations
19.
Song, Mee, et al.. (2001). The Structure of Lithium Intercalated Graphite Using an Effective Atomic Charge of Lithium. Journal of The Electrochemical Society. 148(10). A1159–A1159. 36 indexed citations
20.
Song, Mee, et al.. (1991). Molecular Dynamics Study on the Structural Phase Transition of Crystalline Silver Iodide. Bulletin of the Korean Chemical Society. 12(5). 490–494. 1 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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