Ok‐Sun Bang

2.2k total citations
71 papers, 1.9k citations indexed

About

Ok‐Sun Bang is a scholar working on Molecular Biology, Oncology and Plant Science. According to data from OpenAlex, Ok‐Sun Bang has authored 71 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 15 papers in Oncology and 12 papers in Plant Science. Recurrent topics in Ok‐Sun Bang's work include Cancer Treatment and Pharmacology (8 papers), Angiogenesis and VEGF in Cancer (7 papers) and Phytochemistry and Biological Activities (7 papers). Ok‐Sun Bang is often cited by papers focused on Cancer Treatment and Pharmacology (8 papers), Angiogenesis and VEGF in Cancer (7 papers) and Phytochemistry and Biological Activities (7 papers). Ok‐Sun Bang collaborates with scholars based in South Korea, United States and Japan. Ok‐Sun Bang's co-authors include Shin‐Sung Kang, No Soo Kim, Jun Lee, Jin-Mu Yi, Eun‐Jung Jin, Eui Kyun Park, Song Ja Kim, Min Ho, Young‐Ae Choi and Jang‐Soo Chun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Ok‐Sun Bang

70 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ok‐Sun Bang South Korea 25 1.1k 242 213 212 208 71 1.9k
Young Hyun Yoo South Korea 26 844 0.8× 117 0.5× 167 0.8× 308 1.5× 188 0.9× 46 1.7k
Megumi Funakoshi‐Tago Japan 28 1.0k 1.0× 81 0.3× 199 0.9× 202 1.0× 398 1.9× 101 2.3k
Eui‐Ju Yeo South Korea 26 1.3k 1.2× 150 0.6× 103 0.5× 133 0.6× 185 0.9× 58 2.2k
Jia Zhou China 28 869 0.8× 166 0.7× 344 1.6× 57 0.3× 251 1.2× 87 2.1k
Song Xu China 26 893 0.8× 89 0.4× 152 0.7× 191 0.9× 170 0.8× 65 1.6k
Flavio Flamigni Italy 30 1.6k 1.5× 485 2.0× 146 0.7× 481 2.3× 120 0.6× 112 2.5k
Shanshan Yu China 32 1.6k 1.5× 75 0.3× 98 0.5× 191 0.9× 134 0.6× 93 2.8k
Tae Hyeon Koo South Korea 12 721 0.7× 127 0.5× 91 0.4× 77 0.4× 130 0.6× 12 1.4k
Huiping Ma China 19 960 0.9× 62 0.3× 143 0.7× 136 0.6× 92 0.4× 83 1.6k
Michela Giuliano Italy 28 952 0.9× 44 0.2× 174 0.8× 244 1.2× 393 1.9× 84 1.9k

Countries citing papers authored by Ok‐Sun Bang

Since Specialization
Citations

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

Fields of papers citing papers by Ok‐Sun Bang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ok‐Sun Bang. 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 Ok‐Sun Bang. The network helps show where Ok‐Sun Bang may publish in the future.

Co-authorship network of co-authors of Ok‐Sun Bang

This figure shows the co-authorship network connecting the top 25 collaborators of Ok‐Sun Bang. A scholar is included among the top collaborators of Ok‐Sun Bang 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 Ok‐Sun Bang. Ok‐Sun Bang 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.
Kim, Hye‐Lin, You Mee Ahn, So Min Lee, et al.. (2022). Anti-Obesity Effects of Aqueous Extracts of Sunbanghwalmyung-Eum in High-Fat- and High-Cholesterol-Diet-Induced Obese C57BL/6J Mice. Nutrients. 14(14). 2929–2929. 4 indexed citations
2.
3.
Yi, Jin-Mu, et al.. (2019). Ameliorative effects of aqueous extract of Forsythiae suspensa fruits on oxaliplatin-induced neurotoxicity in vitro and in vivo. BMC Complementary and Alternative Medicine. 19(1). 339–339. 11 indexed citations
4.
Kim, Hye-Youn, et al.. (2016). Evaluation of anti-tumorigenic activity of BP3B against colon cancer with patient-derived tumor xenograft model. BMC Complementary and Alternative Medicine. 16(1). 473–473. 11 indexed citations
5.
Kim, Ki Mo, et al.. (2016). Coniferaldehyde inhibits LPS-induced apoptosis through the PKC α/β II/Nrf-2/HO-1 dependent pathway in RAW264.7 macrophage cells. Environmental Toxicology and Pharmacology. 48. 85–93. 21 indexed citations
6.
Yi, Jin-Mu, et al.. (2016). Aqueous extract of Lithospermi radix attenuates oxaliplatin-induced neurotoxicity in both in vitro and in vivo models. BMC Complementary and Alternative Medicine. 16(1). 419–419. 14 indexed citations
7.
Kim, Jinhee, et al.. (2015). Ethanol extract of Kilkyung-baeksan, a traditional herbal formula, induces G0/G1 cell cycle arrest in human lung cancer cell lines. Integrative Medicine Research. 4(3). 178–184. 4 indexed citations
8.
Kim, Bu‐Yeo, et al.. (2013). Gene Expression Profile of the A549 Human Non-Small Cell Lung Carcinoma Cell Line following Treatment with the Seeds ofDescurainia sophia, a Potential Anticancer Drug. Evidence-based Complementary and Alternative Medicine. 2013. 1–13. 19 indexed citations
9.
Bang, Ok‐Sun, et al.. (2013). Screening of Stat3 inhibitory effects of Korean herbal medicines in the A549 human lung cancer cell line. Integrative Medicine Research. 3(2). 67–73. 9 indexed citations
10.
11.
Kang, Byoung-Kab, et al.. (2011). Report on the Korean Standard Pattern Identifications for Stroke-III. The Journal of Internal Korean Medicine. 32(2). 232–242. 14 indexed citations
12.
Choi, Jae‐Hwan, et al.. (2009). Anti-inflammatory Effects of Herbal Formula KCNS-001 for Mitigating Atopic Dermatitis. The Korea Journal of Herbology. 24(3). 97–102.
13.
Kang, Byoung-Kab, et al.. (2009). The Discrimination Model IV for Syndrome Differentiation Diagnosis in Stroke Patients. The Korean Data Analysis Society. 11(6). 2995–3007. 1 indexed citations
14.
Jin, Eun‐Jung, Young‐Ae Choi, Eui Kyun Park, Ok‐Sun Bang, & Shin‐Sung Kang. (2007). MMP-2 functions as a negative regulator of chondrogenic cell condensation via down-regulation of the FAK-integrin β1 interaction. Developmental Biology. 308(2). 474–484. 43 indexed citations
15.
Kim, No Soo, Kyung‐Won Kang, Min Ho, et al.. (2007). Decreased paraoxonase-1 activity is a risk factor for ischemic stroke in Koreans. Biochemical and Biophysical Research Communications. 364(1). 157–162. 31 indexed citations
16.
Jin, Eun‐Jung, Sun-Young Lee, Young‐Ae Choi, et al.. (2006). BMP-2-Enhanced Chondrogenesis Involves p38 MAPK-mediated Down-Regulation of Wnt-7a Pathway. Molecules and Cells. 22(3). 353–359. 79 indexed citations
17.
Park, Dae‐Won, Jae-Ryong Kim, Seong Yong Kim, et al.. (2003). Akt as a Mediator of Secretory Phospholipase A2 Receptor-Involved Inducible Nitric Oxide Synthase Expression. The Journal of Immunology. 170(4). 2093–2099. 47 indexed citations
18.
Bang, Ok‐Sun, et al.. (2000). Association of Focal Adhesion Kinase with Fibronectin and Paxillin Is Required for Precartilage Condensation of Chick Mesenchymal Cells. Biochemical and Biophysical Research Communications. 278(3). 522–529. 53 indexed citations
19.
Kwon, Taeg Kyu, Suk‐Hwan Baek, Yoon Jeong Lee, et al.. (2000). Failure to induce inhibition of cyclin A and up-regulation of p21 expression in phorbol ester-resistant U937 cells by phorbol ester. Cancer Letters. 157(2). 211–218. 4 indexed citations
20.
Bang, Ok‐Sun, Francis W. Ruscetti, Myung-Ho Lee, Seong‐Jin Kim, & Maria C. Birchenall-Roberts. (1996). Transforming Growth Factor-β1 Modulates p107 Function in Myeloid Cells. Journal of Biological Chemistry. 271(13). 7811–7819. 9 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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