Young Mi Whang

809 total citations
35 papers, 627 citations indexed

About

Young Mi Whang is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Young Mi Whang has authored 35 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Surgery. Recurrent topics in Young Mi Whang's work include Epigenetics and DNA Methylation (11 papers), Metabolism, Diabetes, and Cancer (5 papers) and Cancer-related gene regulation (4 papers). Young Mi Whang is often cited by papers focused on Epigenetics and DNA Methylation (11 papers), Metabolism, Diabetes, and Cancer (5 papers) and Cancer-related gene regulation (4 papers). Young Mi Whang collaborates with scholars based in South Korea, United States and Japan. Young Mi Whang's co-authors include Yeul Hong Kim, In Ho Chang, Young Do Yoo, Serk In Park, Jun Suk Kim, Kyong Hwa Park, Ukhyun Jo, Jae Sook Sung, Young Wook Choi and Sun Wook Cho and has published in prestigious journals such as PLoS ONE, Cancer and Cancer Research.

In The Last Decade

Young Mi Whang

33 papers receiving 619 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young Mi Whang South Korea 16 381 153 100 93 76 35 627
Misao Yoneda Japan 15 238 0.6× 216 1.4× 69 0.7× 119 1.3× 79 1.0× 41 701
Wei‐Dong Lü China 14 303 0.8× 184 1.2× 136 1.4× 160 1.7× 56 0.7× 32 731
Leping Yang China 17 398 1.0× 195 1.3× 117 1.2× 229 2.5× 108 1.4× 41 725
Yuanyuan Xu China 15 292 0.8× 151 1.0× 44 0.4× 87 0.9× 97 1.3× 47 807
Jawad A. Makarem Lebanon 5 343 0.9× 143 0.9× 89 0.9× 116 1.2× 73 1.0× 15 651
Jin Muk Kang South Korea 15 288 0.8× 109 0.7× 112 1.1× 134 1.4× 57 0.8× 30 562
Jun Dong China 15 328 0.9× 74 0.5× 114 1.1× 93 1.0× 51 0.7× 40 591
Mengya Zhong China 14 329 0.9× 118 0.8× 54 0.5× 137 1.5× 115 1.5× 36 572
Chun-Ying Qu China 14 271 0.7× 104 0.7× 62 0.6× 152 1.6× 97 1.3× 25 563

Countries citing papers authored by Young Mi Whang

Since Specialization
Citations

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

Fields of papers citing papers by Young Mi Whang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young Mi Whang. 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 Young Mi Whang. The network helps show where Young Mi Whang may publish in the future.

Co-authorship network of co-authors of Young Mi Whang

This figure shows the co-authorship network connecting the top 25 collaborators of Young Mi Whang. A scholar is included among the top collaborators of Young Mi Whang 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 Young Mi Whang. Young Mi Whang 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.
Bock, Fabian, Olga M. Viquez, Erin J. Plosa, et al.. (2024). Rac1 promotes kidney collecting duct repair by mechanically coupling cell morphology to mitotic entry. Science Advances. 10(6). eadi7840–eadi7840. 5 indexed citations
2.
3.
Park, Serk In, et al.. (2019). Depletion of NBR1 in urothelial carcinoma cells enhances rapamycin‐induced apoptosis through impaired autophagy and mitochondrial dysfunction. Journal of Cellular Biochemistry. 120(11). 19186–19201. 10 indexed citations
4.
Yoon, Ho Yub, In Ho Chang, Yoon Tae Goo, et al.. (2019). <p>Intravesical delivery of rapamycin via folate-modified liposomes dispersed in thermo-reversible hydrogel</p>. International Journal of Nanomedicine. Volume 14. 6249–6268. 50 indexed citations
5.
Yoo, James J., et al.. (2019). Structure establishment of three-dimensional (3D) cell culture printing model for bladder cancer. PLoS ONE. 14(10). e0223689–e0223689. 45 indexed citations
6.
Kim, Kijeong, et al.. (2018). The immunotherapeutic effects of recombinant Bacillus Calmette-Guérin resistant to antimicrobial peptides on bladder cancer cells. Biochemical and Biophysical Research Communications. 509(1). 167–174. 16 indexed citations
7.
Kim, Sung Rae, Eunseok Lee, In Ho Chang, et al.. (2017). Combined Poly(Lactide-Co-Glycolide) Microspheres Containing Diphtheria Toxoid for a Single-shot Immunization. AAPS PharmSciTech. 19(3). 1160–1167. 4 indexed citations
8.
Lee, Changki, Young Mi Whang, Patrick L. Mulcrone, et al.. (2017). Dual targeting c-met and VEGFR2 in osteoblasts suppresses growth and osteolysis of prostate cancer bone metastasis. Cancer Letters. 414. 205–213. 52 indexed citations
9.
Whang, Young Mi, Serk In Park, Irina Trenary, et al.. (2015). LKB1 deficiency enhances sensitivity to energetic stress induced by erlotinib treatment in non-small-cell lung cancer (NSCLC) cells. Oncogene. 35(7). 856–866. 50 indexed citations
10.
Jin, Quanri, HJ Lee, Hye‐Young Min, et al.. (2014). Transcriptional and posttranslational regulation of insulin-like growth factor binding protein-3 by Akt3. Carcinogenesis. 35(10). 2232–2243. 11 indexed citations
11.
Jo, Ukhyun, Kyong Hwa Park, Young Mi Whang, et al.. (2014). EGFR endocytosis is a novel therapeutic target in lung cancer with wild-type EGFR. Oncotarget. 5(5). 1265–1278. 47 indexed citations
12.
Whang, Young Mi, Ukhyun Jo, Jae Sook Sung, et al.. (2013). Wnt5a Is Associated with Cigarette Smoke-Related Lung Carcinogenesis via Protein Kinase C. PLoS ONE. 8(1). e53012–e53012. 32 indexed citations
13.
Jung, Hae‐Yun, et al.. (2013). RASSF1A Suppresses Cell Migration through Inactivation of HDAC6 and Increase of Acetylated alpha-Tubulin. Cancer Research and Treatment. 45(2). 134–144. 20 indexed citations
14.
Oh, Seung Hyun, Young Mi Whang, Hye‐Young Min, et al.. (2012). Histone deacetylase inhibitors enhance the apoptotic activity of insulin‐like growth factor binding protein‐3 by blocking PKC‐induced IGFBP‐3 degradation. International Journal of Cancer. 131(10). 2253–2263. 9 indexed citations
15.
Whang, Young Mi, Kyong Hwa Park, Hae‐Yun Jung, Ukhyun Jo, & Yeul Hong Kim. (2009). Microtubule‐damaging agents enhance RASSF1A‐induced cell death in lung cancer cell lines. Cancer. 115(6). 1253–1266. 7 indexed citations
16.
Sung, Jae Sook, Young Mi Whang, Eun‐Soon Shin, et al.. (2008). Putative association of the single nucleotide polymorphisms in RASSF1A promoter with Korean lung cancer. Lung Cancer. 61(3). 301–308. 12 indexed citations
17.
Park, Kyong Hwa, Young Mi Whang, Hyo‐Jung Lee, et al.. (2006). Single nucleotide polymorphisms of the TGFB1 gene and lung cancer risk in a Korean population. Cancer Genetics and Cytogenetics. 169(1). 39–44. 30 indexed citations
18.
Whang, Young Mi, Yeul Hong Kim, Jun Suk Kim, & Young Do Yoo. (2005). RASSF1A Suppresses the c-Jun-NH2-Kinase Pathway and Inhibits Cell Cycle Progression. Cancer Research. 65(9). 3682–3690. 63 indexed citations
19.
Whang, Young Mi, Eun Jung Choi, Jae Hong Seo, et al.. (2005). Hyperacetylation enhances the growth-inhibitory effect of all-trans retinoic acid by the restoration of retinoic acid receptor β expression in head and neck squamous carcinoma (HNSCC) cells. Cancer Chemotherapy and Pharmacology. 56(5). 543–555. 15 indexed citations
20.

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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