Soon-Cen Huang

903 total citations
19 papers, 730 citations indexed

About

Soon-Cen Huang is a scholar working on Molecular Biology, Obstetrics and Gynecology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Soon-Cen Huang has authored 19 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Obstetrics and Gynecology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Soon-Cen Huang's work include Uterine Myomas and Treatments (4 papers), Cell Adhesion Molecules Research (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Soon-Cen Huang is often cited by papers focused on Uterine Myomas and Treatments (4 papers), Cell Adhesion Molecules Research (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Soon-Cen Huang collaborates with scholars based in Taiwan and Russia. Soon-Cen Huang's co-authors include Keng‐Fu Hsu, Cheng-Yang Chou, Wen‐Ying Lee, Ching‐Cherng Tzeng, Wen‐Tai Chiu, Yu-Fang Huang, Chien‐Chin Chen, Ko-En Huang, Ching-Ming Wu and Jan‐Show Chu and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Oncogene and American Journal of Obstetrics and Gynecology.

In The Last Decade

Soon-Cen Huang

18 papers receiving 717 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soon-Cen Huang Taiwan 13 372 154 141 125 104 19 730
Gary L. Goldberg United States 17 416 1.1× 108 0.7× 303 2.1× 92 0.7× 159 1.5× 33 867
Yung‐Kwei Soong Taiwan 9 353 0.9× 73 0.5× 241 1.7× 94 0.8× 126 1.2× 13 826
Céline Van Themsche Canada 18 544 1.5× 228 1.5× 246 1.7× 41 0.3× 57 0.5× 25 894
A. G. van der Zee Netherlands 9 290 0.8× 114 0.7× 326 2.3× 159 1.3× 135 1.3× 16 837
Jehng-Kang Wang Taiwan 18 295 0.8× 208 1.4× 134 1.0× 57 0.5× 59 0.6× 40 854
Songshu Xiao China 18 280 0.8× 122 0.8× 124 0.9× 35 0.3× 243 2.3× 46 810
Huimin Wang China 15 480 1.3× 301 2.0× 65 0.5× 106 0.8× 98 0.9× 34 745
Masayuki Futagami Japan 16 405 1.1× 156 1.0× 226 1.6× 51 0.4× 215 2.1× 62 957
Zhijie Xiao China 18 569 1.5× 125 0.8× 315 2.2× 41 0.3× 62 0.6× 37 992
Rachel A. Egler United States 14 397 1.1× 101 0.7× 152 1.1× 54 0.4× 19 0.2× 25 907

Countries citing papers authored by Soon-Cen Huang

Since Specialization
Citations

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

Fields of papers citing papers by Soon-Cen Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soon-Cen Huang. 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 Soon-Cen Huang. The network helps show where Soon-Cen Huang may publish in the future.

Co-authorship network of co-authors of Soon-Cen Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Soon-Cen Huang. A scholar is included among the top collaborators of Soon-Cen Huang 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 Soon-Cen Huang. Soon-Cen Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
2.
Wu, Yi‐Hui, Yu-Fang Huang, Tzu‐Hao Chang, et al.. (2021). COL11A1 activates cancer-associated fibroblasts by modulating TGF-β3 through the NF-κB/IGFBP2 axis in ovarian cancer cells. Oncogene. 40(26). 4503–4519. 58 indexed citations
3.
Lin, Yi-Hsin, et al.. (2020). Chemoresistant ovarian cancer enhances its migration abilities by increasing store-operated Ca2+ entry-mediated turnover of focal adhesions. Journal of Biomedical Science. 27(1). 36–36. 34 indexed citations
4.
Chiu, Wen‐Tai, Yi-Hsin Lin, Yu-Shan Lin, et al.. (2018). Bcl-2 regulates store-operated Ca2+ entry to modulate ER stress-induced apoptosis. Cell Death Discovery. 4(1). 37–37. 43 indexed citations
5.
Chen, Ying‐Chi, et al.. (2017). Revealing the three dimensional architecture of focal adhesion components to explain Ca2+-mediated turnover of focal adhesions. Biochimica et Biophysica Acta (BBA) - General Subjects. 1861(3). 624–635. 14 indexed citations
6.
Hsu, Keng‐Fu, et al.. (2014). Enhanced myometrial autophagy in postpartum uterine involution. Taiwanese Journal of Obstetrics and Gynecology. 53(3). 293–302. 10 indexed citations
7.
Chiu, Wen‐Tai, Yu-Fang Huang, Chien‐Chin Chen, et al.. (2014). FOXM1 confers to epithelial-mesenchymal transition, stemness and chemoresistance in epithelial ovarian carcinoma cells. Oncotarget. 6(4). 2349–2365. 116 indexed citations
8.
Chen, Chi‐Long, Jan‐Show Chu, Wu‐Chou Su, Soon-Cen Huang, & Wen‐Ying Lee. (2010). Hypoxia and metabolic phenotypes during breast carcinogenesis: expression of HIF-1α, GLUT1, and CAIX. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 457(1). 53–61. 82 indexed citations
9.
Hsu, Keng‐Fu, Chao‐Liang Wu, Soon-Cen Huang, et al.. (2009). Cathepsin L mediates resveratrol-induced autophagy and apoptotic cell death in cervical cancer cells. Autophagy. 5(4). 451–460. 136 indexed citations
10.
Lee, Wen‐Ying, et al.. (2007). Alterations of Metastasis-Related Genes Identified Using an Oligonucleotide Microarray of Genistein-Treated HCC1395 Breast Cancer Cells. Nutrition and Cancer. 58(2). 239–246. 27 indexed citations
11.
Lee, Wen‐Ying, et al.. (2007). Roles for hypoxia-regulated genes during cervical carcinogenesis: Somatic evolution during the hypoxia–glycolysis–acidosis sequence. Gynecologic Oncology. 108(2). 377–384. 50 indexed citations
12.
Huang, Soon-Cen, Ming‐Jer Tang, Ya-Min Cheng, et al.. (2003). Enhanced Polyadenosine Diphosphate-Ribosylation in Gonadotropin-Releasing Hormone Agonist-Treated Uterine Leiomyoma. The Journal of Clinical Endocrinology & Metabolism. 88(10). 5009–5016. 7 indexed citations
13.
Huang, Soon-Cen, Ming‐Jer Tang, Keng‐Fu Hsu, Ya-Min Cheng, & Cheng-Yang Chou. (2002). Fas and Its Ligand, Caspases, and Bcl-2 Expression in Gonadotropin-Releasing Hormone Agonist-Treated Uterine Leiomyoma. The Journal of Clinical Endocrinology & Metabolism. 87(10). 4580–4586. 23 indexed citations
14.
Huang, Soon-Cen, et al.. (1997). Enhanced deoxyribonucleic acid damage and repair but unchanged apoptosis in uterine leiomyomas treated with gonadotropin-releasing hormone agonist. American Journal of Obstetrics and Gynecology. 177(2). 417–424. 18 indexed citations
15.
Wang, Shan‐Tair, et al.. (1997). Accuracy of Three-Dimensional Ultrasonography in Volume Estimation of Cervical Carcinoma. Gynecologic Oncology. 66(1). 89–93. 85 indexed citations
16.
Chou, Cheng-Yang, et al.. (1997). Uterine Leiomyosarcoma Has Deregulated Cell Proliferation, but Not Increased Microvessel Density Compared with Uterine Leiomyoma. Gynecologic Oncology. 65(2). 225–231. 14 indexed citations
17.
Shen, Meng‐Ru, et al.. (1997). Rapid growth of a fetal abdominal mass: A case report of congenital neuroblastoma. Journal of Clinical Ultrasound. 25(1). 39–42. 4 indexed citations
18.
Huang, Soon-Cen, et al.. (1996). Transvaginal ultrasonographic findings in vesico-uterine fistula. Journal of Clinical Ultrasound. 24(4). 209–212. 8 indexed citations
19.
Huang, Soon-Cen, et al.. (1988). Neonatal meningitis due to Proteus mirabilis: report of 3 cases.. PubMed. 11(1). 66–73. 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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