Young A. Yoo

1.8k total citations · 1 hit paper
28 papers, 1.3k citations indexed

About

Young A. Yoo is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Young A. Yoo has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 8 papers in Oncology. Recurrent topics in Young A. Yoo's work include Cancer-related Molecular Pathways (5 papers), Prostate Cancer Treatment and Research (5 papers) and Hedgehog Signaling Pathway Studies (3 papers). Young A. Yoo is often cited by papers focused on Cancer-related Molecular Pathways (5 papers), Prostate Cancer Treatment and Research (5 papers) and Hedgehog Signaling Pathway Studies (3 papers). Young A. Yoo collaborates with scholars based in South Korea, United States and Japan. Young A. Yoo's co-authors include Jun Suk Kim, Myoung Hee Kang, Sang Cheul Oh, Hyun Joo Lee, Jong Kuk Park, Hyun Koo Kim, Sarki A. Abdulkadir, Baek‐hui Kim, Barbara Lysy and Kenji Unno and has published in prestigious journals such as Nature Communications, Molecular and Cellular Biology and JNCI Journal of the National Cancer Institute.

In The Last Decade

Young A. Yoo

27 papers receiving 1.3k citations

Hit Papers

Small-Molecule MYC Inhibitors Suppress Tumor Growth and E... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young A. Yoo South Korea 17 887 462 247 201 116 28 1.3k
Kun-Tu Yeh Taiwan 23 866 1.0× 438 0.9× 346 1.4× 184 0.9× 108 0.9× 43 1.4k
Kirsi‐Maria Haapasaari Finland 24 674 0.8× 437 0.9× 337 1.4× 180 0.9× 195 1.7× 76 1.5k
Jun Suk Kim South Korea 17 804 0.9× 393 0.9× 205 0.8× 161 0.8× 103 0.9× 34 1.2k
Esra Gündüz Japan 21 858 1.0× 397 0.9× 240 1.0× 161 0.8× 93 0.8× 70 1.3k
Hiu Wing Cheung China 16 876 1.0× 457 1.0× 256 1.0× 123 0.6× 93 0.8× 36 1.3k
Raffaella Chiaramonte Italy 25 1.1k 1.2× 401 0.9× 240 1.0× 97 0.5× 99 0.9× 70 1.6k
Quintin Pan United States 24 1.2k 1.3× 631 1.4× 442 1.8× 163 0.8× 97 0.8× 44 1.8k
Jinah Park South Korea 19 787 0.9× 262 0.6× 185 0.7× 137 0.7× 72 0.6× 32 1.1k
Şerif Şentürk Türkiye 16 796 0.9× 295 0.6× 246 1.0× 101 0.5× 82 0.7× 38 1.2k
Huey‐Jen Lin United States 14 707 0.8× 468 1.0× 248 1.0× 81 0.4× 141 1.2× 22 1.1k

Countries citing papers authored by Young A. Yoo

Since Specialization
Citations

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

Fields of papers citing papers by Young A. Yoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young A. Yoo

This figure shows the co-authorship network connecting the top 25 collaborators of Young A. Yoo. A scholar is included among the top collaborators of Young A. Yoo 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 A. Yoo. Young A. Yoo 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.
Yoo, Young A., Qianyu Guo, Yara Rodríguez, et al.. (2024). Asparagine Dependency Is a Targetable Metabolic Vulnerability in TP53 -Altered Castration-Resistant Prostate Cancer. Cancer Research. 84(18). 3004–3022. 13 indexed citations
3.
4.
Rodríguez, Yara, Kenji Unno, Mihai I. Truica, et al.. (2022). A Genome-Wide CRISPR Activation Screen Identifies PRRX2 as a Regulator of Enzalutamide Resistance in Prostate Cancer. Cancer Research. 82(11). 2110–2123. 24 indexed citations
5.
Unno, Kenji, Zachary R. Chalmers, Sahithi Pamarthy, et al.. (2021). Activated ALK Cooperates with N-Myc via Wnt/β-Catenin Signaling to Induce Neuroendocrine Prostate Cancer. Cancer Research. 81(8). 2157–2170. 41 indexed citations
6.
Han, Huiying, Atul D. Jain, Mihai I. Truica, et al.. (2019). Small-Molecule MYC Inhibitors Suppress Tumor Growth and Enhance Immunotherapy. Cancer Cell. 36(5). 483–497.e15. 302 indexed citations breakdown →
7.
Hyun, Hoon, Young A. Yoo, Sohee Kim, et al.. (2019). Hydrogel-Mediated DOX⋅HCl/PTX Delivery System for Breast Cancer Therapy. International Journal of Molecular Sciences. 20(19). 4671–4671. 18 indexed citations
8.
Yoo, Young A., Meejeon Roh, Barbara Lysy, et al.. (2016). Bmi1 marks distinct castration-resistant luminal progenitor cells competent for prostate regeneration and tumour initiation. Nature Communications. 7(1). 12943–12943. 49 indexed citations
9.
Kang, Myoung Hee, Young A. Yoo, Yu Hua Quan, et al.. (2014). The effects of sonic hedgehog signaling pathway components on non-small-cell lung cancer progression and clinical outcome. World Journal of Surgical Oncology. 12(1). 268–268. 23 indexed citations
10.
Yoo, Young A., et al.. (2013). Progesterone Signaling Inhibits Cervical Carcinogenesis in Mice. American Journal Of Pathology. 183(5). 1679–1687. 33 indexed citations
11.
Yoo, Young A., Myoung Hee Kang, Hyun Joo Lee, et al.. (2011). Sonic Hedgehog Pathway Promotes Metastasis and Lymphangiogenesis via Activation of Akt, EMT, and MMP-9 Pathway in Gastric Cancer. Cancer Research. 71(22). 7061–7070. 282 indexed citations
12.
Kang, Han Na, Sang Cheul Oh, Jun Suk Kim, & Young A. Yoo. (2011). Abrogation of Gli3 expression suppresses the growth of colon cancer cells via activation of p53. Experimental Cell Research. 318(5). 539–549. 21 indexed citations
13.
Kang, Myoung Hee, Sang Cheul Oh, Hyun Joo Lee, et al.. (2011). Metastatic function of BMP-2 in gastric cancer cells: The role of PI3K/AKT, MAPK, the NF-κB pathway, and MMP-9 expression. Experimental Cell Research. 317(12). 1746–1762. 95 indexed citations
14.
Kang, Myoung Hee, et al.. (2011). The Oral Iron Chelator Deferasirox Induces Apoptosis in Myeloid Leukemia Cells by Targeting Caspase. Acta Haematologica. 126(4). 241–245. 23 indexed citations
16.
Kang, Myoung Hee, et al.. (2009). BMP2 accelerates the motility and invasiveness of gastric cancer cells via activation of the phosphatidylinositol 3-kinase (PI3K)/Akt pathway. Experimental Cell Research. 316(1). 24–37. 119 indexed citations
17.
Yoo, Young A., Yeul Hong Kim, Jun Suk Kim, & Jae Hong Seo. (2007). The functional implications of Akt activity and TGF-β signaling in tamoxifen-resistant breast cancer. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1783(3). 438–447. 25 indexed citations
18.
Yoo, Young A., et al.. (2006). RASSF1A suppresses oncogenic H-Ras-induced c-Jun N-terminal kinase activation. International Journal of Oncology. 29(6). 1541–7. 10 indexed citations
19.
Kim, Mi Jin, Young A. Yoo, Hyung Jung Kim, et al.. (2005). Mitochondrial ribosomal protein L41 mediates serum starvation-induced cell-cycle arrest through an increase of p21WAF1/CIP1. Biochemical and Biophysical Research Communications. 338(2). 1179–1184. 34 indexed citations
20.
Kim, Jayoung, Yeon Joon Park, Seung Ok Lee, et al.. (2004). Case report: Bacteremia due to Salmonella enterica Serotype Montevideo producing plasmid-mediated AmpC beta-lactamase (DHA-1).. PubMed. 34(2). 214–7. 25 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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