Song Park

815 total citations
43 papers, 585 citations indexed

About

Song Park is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Song Park has authored 43 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 9 papers in Immunology and 8 papers in Oncology. Recurrent topics in Song Park's work include Pluripotent Stem Cells Research (7 papers), Invertebrate Immune Response Mechanisms (5 papers) and Aquaculture disease management and microbiota (5 papers). Song Park is often cited by papers focused on Pluripotent Stem Cells Research (7 papers), Invertebrate Immune Response Mechanisms (5 papers) and Aquaculture disease management and microbiota (5 papers). Song Park collaborates with scholars based in South Korea, China and United States. Song Park's co-authors include Seong‐Kyoon Choi, Myoung Ok Kim, Wookbong Kwon, Soyoung Jang, Zae Young Ryoo, Jee Eun Han, Zae Young Ryoo, Jain Jeong, Sun‐Ho Kee and Hai Huang and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Song Park

42 papers receiving 574 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Song Park South Korea 16 283 129 98 68 67 43 585
Xiaoyun Guo China 17 356 1.3× 93 0.7× 109 1.1× 84 1.2× 45 0.7× 32 709
Yanbing Liang China 13 267 0.9× 155 1.2× 62 0.6× 27 0.4× 54 0.8× 29 589
Tingting Guo China 14 360 1.3× 208 1.6× 122 1.2× 83 1.2× 106 1.6× 28 764
Yoshiharu Matsuura Japan 4 541 1.9× 74 0.6× 97 1.0× 89 1.3× 90 1.3× 5 926
Hamda A. Al‐Naemi Qatar 11 368 1.3× 82 0.6× 103 1.1× 76 1.1× 120 1.8× 25 798
Xiaomin Wang China 18 443 1.6× 103 0.8× 93 0.9× 30 0.4× 65 1.0× 74 856
Liting Wang China 15 423 1.5× 64 0.5× 169 1.7× 77 1.1× 54 0.8× 37 721
Lili Qu China 18 378 1.3× 79 0.6× 169 1.7× 92 1.4× 148 2.2× 59 791

Countries citing papers authored by Song Park

Since Specialization
Citations

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

Fields of papers citing papers by Song Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Park

This figure shows the co-authorship network connecting the top 25 collaborators of Song Park. A scholar is included among the top collaborators of Song Park 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 Song Park. Song Park 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.
Jang, Soyoung, Song Park, Jun Koo Yi, et al.. (2024). Glucose-dependent insulinotropic polypeptide (GIP) alleviates ferroptosis in aging-induced brain damage through the Epac/Rap1 signaling pathway. BMB Reports. 57(9). 417–423. 4 indexed citations
2.
Jang, Soyoung, Ji-Eun Bae, Song Park, et al.. (2024). HSPA9 reduction exacerbates symptoms and cell death in DSS-Induced inflammatory colitis. Scientific Reports. 14(1). 5908–5908.
3.
Lee, Jin Hong, Siyong Kim, Song Park, et al.. (2024). TASL mediates keratinocyte differentiation by regulating intracellular calcium levels and lysosomal function. Scientific Reports. 14(1). 10978–10978. 1 indexed citations
4.
Kim, Hee-Yeon, Song Park, Wan-Soo Kim, et al.. (2023). A preliminary study about the potential risks of the UV-weathered microplastic: The proteome-level changes in the brain in response to polystyrene derived weathered microplastics. Environmental Research. 233. 116411–116411. 29 indexed citations
5.
Lee, Jun Nyung, Song Park, So Young Chun, et al.. (2022). Inhibition of TRPM7 suppresses migration and invasion of prostate cancer cells via inactivation of ERK1/2, Src and Akt pathway signaling. SHILAP Revista de lepidopterología. 18(7). 1–1. 13 indexed citations
6.
Lee, Eun Hye, Jae-Wook Chung, Bo Hyun Yoon, et al.. (2022). Anti-Metastatic Effect of Pyruvate Dehydrogenase Kinase 4 Inhibition in Bladder Cancer via the ERK, SRC, and JNK Pathways. International Journal of Molecular Sciences. 23(21). 13240–13240. 10 indexed citations
7.
Park, Song, Wookbong Kwon, Hee-Yeon Kim, et al.. (2022). Knockdown of Maged1 inhibits cell cycle progression and causes cell death in mouse embryonic stem cells. Differentiation. 125. 18–26. 2 indexed citations
8.
Kim, Wansoo, Seong‐Kyoon Choi, Hee-Yeon Kim, et al.. (2022). NOLC1 knockdown suppresses prostate cancer progressions by reducing AKT phosphorylation and β-catenin accumulation. Biochemical and Biophysical Research Communications. 635. 99–107. 10 indexed citations
10.
Huang, Hai, Song Park, Haibo Zhang, et al.. (2021). Targeting AKT with costunolide suppresses the growth of colorectal cancer cells and induces apoptosis in vitro and in vivo. Journal of Experimental & Clinical Cancer Research. 40(1). 114–114. 32 indexed citations
11.
Park, Song, Jun Koo Yi, Wookbong Kwon, et al.. (2021). Overexpression of hepatic serum amyloid A1 in mice increases IL-17-producing innate immune cells and decreases bone density. Journal of Biological Chemistry. 296. 100595–100595. 15 indexed citations
12.
Kwon, Wookbong, Seong‐Kyoon Choi, Dae-Hwan Kim, et al.. (2021). ZNF507 affects TGF-β signaling via TGFBR1 and MAP3K8 activation in the progression of prostate cancer to an aggressive state. Journal of Experimental & Clinical Cancer Research. 40(1). 291–291. 13 indexed citations
13.
Yi, Junkoo, Song Park, Jae Jung Ha, et al.. (2020). Effects of Dimethyl Sulfoxide on the Pluripotency and Differentiation Capacity of Mouse Embryonic Stem Cells. Cellular Reprogramming. 22(5). 244–253. 8 indexed citations
16.
Park, Song, Wookbong Kwon, Jin‐Kyu Park, et al.. (2020). Suppression of cathepsin a inhibits growth, migration, and invasion by inhibiting the p38 MAPK signaling pathway in prostate cancer. Archives of Biochemistry and Biophysics. 688. 108407–108407. 29 indexed citations
17.
Park, Song, Jain Jeong, Hee Yeon Kim, et al.. (2019). PRPF4 is a novel therapeutic target for the treatment of breast cancer by influencing growth, migration, invasion, and apoptosis of breast cancer cells via p38 MAPK signaling pathway. Molecular and Cellular Probes. 47. 101440–101440. 14 indexed citations
18.
Jeong, Jain, Song Park, Wookbong Kwon, et al.. (2019). Lin28a expression protects against streptozotocin‐induced β‐cell destruction and prevents diabetes in mice. Cell Biochemistry and Function. 37(3). 139–147. 17 indexed citations
19.
Jang, Woo Young, Boram Lee, Jain Jeong, et al.. (2016). Overexpression of serum amyloid a 1 induces depressive-like behavior in mice. Brain Research. 1654(Pt A). 55–65. 25 indexed citations
20.
Kang, Mincheol, Jain Jeong, Song Park, et al.. (2016). TET1 contributes to neurogenesis onset time during fetal brain development in mice. Biochemical and Biophysical Research Communications. 471(4). 437–443. 12 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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