Barbie Taylor‐Harding

1.3k total citations
16 papers, 936 citations indexed

About

Barbie Taylor‐Harding is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Barbie Taylor‐Harding has authored 16 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Oncology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Barbie Taylor‐Harding's work include Cancer-related Molecular Pathways (5 papers), Cancer Mechanisms and Therapy (4 papers) and Epigenetics and DNA Methylation (3 papers). Barbie Taylor‐Harding is often cited by papers focused on Cancer-related Molecular Pathways (5 papers), Cancer Mechanisms and Therapy (4 papers) and Epigenetics and DNA Methylation (3 papers). Barbie Taylor‐Harding collaborates with scholars based in United States, Germany and Norway. Barbie Taylor‐Harding's co-authors include Beth Y. Karlan, W. Ruprecht Wiedemeyer, Alexander Brehm, Michael Korenjak, Ulrich K. Binné, Sandra Oršulić, Olivier Nolan-Stevaux, Helen White‐Cooper, John S. Satterlee and Nick Dyson and has published in prestigious journals such as Cell, Molecular and Cellular Biology and Cancer Research.

In The Last Decade

Barbie Taylor‐Harding

16 papers receiving 928 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Barbie Taylor‐Harding United States 14 616 420 177 128 123 16 936
Hara Polioudaki Greece 14 622 1.0× 401 1.0× 217 1.2× 175 1.4× 98 0.8× 23 1.0k
Cristel V. Camacho United States 14 952 1.5× 575 1.4× 293 1.7× 57 0.4× 145 1.2× 21 1.3k
Margret B. Einarson United States 16 524 0.9× 163 0.4× 118 0.7× 161 1.3× 78 0.6× 28 760
Nozomi Tomimatsu United States 17 1.3k 2.2× 616 1.5× 312 1.8× 142 1.1× 178 1.4× 26 1.7k
Marisa Mariani United States 15 476 0.8× 249 0.6× 235 1.3× 148 1.2× 73 0.6× 24 758
Vin Yee Chung Singapore 10 451 0.7× 388 0.9× 239 1.4× 190 1.5× 68 0.6× 15 766
Clive S. D’Santos United Kingdom 12 768 1.2× 197 0.5× 111 0.6× 152 1.2× 100 0.8× 17 1.0k
Roderick P. Regala United States 9 706 1.1× 328 0.8× 156 0.9× 172 1.3× 94 0.8× 10 932
Federica Ruffini Italy 20 637 1.0× 461 1.1× 197 1.1× 64 0.5× 55 0.4× 30 936
W. Ruprecht Wiedemeyer United States 9 376 0.6× 369 0.9× 223 1.3× 88 0.7× 183 1.5× 12 718

Countries citing papers authored by Barbie Taylor‐Harding

Since Specialization
Citations

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

Fields of papers citing papers by Barbie Taylor‐Harding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barbie Taylor‐Harding. 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 Barbie Taylor‐Harding. The network helps show where Barbie Taylor‐Harding may publish in the future.

Co-authorship network of co-authors of Barbie Taylor‐Harding

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

All Works

16 of 16 papers shown
1.
Hu, Ye, Marcela Haro, Enes Taylan, et al.. (2024). INHBA(+) cancer-associated fibroblasts generate an immunosuppressive tumor microenvironment in ovarian cancer. npj Precision Oncology. 8(1). 35–35. 15 indexed citations
2.
Hu, Ye, Barbie Taylor‐Harding, Yael Raz, et al.. (2020). Are Epithelial Ovarian Cancers of the Mesenchymal Subtype Actually Intraperitoneal Metastases to the Ovary?. Frontiers in Cell and Developmental Biology. 8. 647–647. 13 indexed citations
3.
Aspuria, Paul‐Joseph, Barbie Taylor‐Harding, Lindsay Spurka, et al.. (2017). Glucose deprivation elicits phenotypic plasticity via ZEB1-mediated expression of NNMT. Oncotarget. 8(16). 26200–26220. 36 indexed citations
4.
Zakhour, Mae, et al.. (2016). Cyclin E as a potential therapeutic target in high grade serous ovarian cancer. Gynecologic Oncology. 143(1). 152–158. 57 indexed citations
5.
Jia, Dongyu, Zhenqiu Liu, Nan Deng, et al.. (2016). A COL11A1-correlated pan-cancer gene signature of activated fibroblasts for the prioritization of therapeutic targets. Cancer Letters. 382(2). 203–214. 83 indexed citations
6.
Qi, Dongping, Navjot Kaur Gill, Chintda Santiskulvong, et al.. (2015). Screening cell mechanotype by parallel microfiltration. Scientific Reports. 5(1). 17595–17595. 45 indexed citations
7.
Lim, Jae Young, Kun Yang, Barbie Taylor‐Harding, W. Ruprecht Wiedemeyer, & Ronald J. Buckanovich. (2014). VEGFR3 Inhibition Chemosensitizes Ovarian Cancer Stemlike Cells through Down-Regulation of BRCA1 and BRCA2. Neoplasia. 16(4). 343–353.e2. 103 indexed citations
8.
Taylor‐Harding, Barbie, Paul‐Joseph Aspuria, Hasmik Agadjanian, et al.. (2014). Cyclin E1 and RTK/RAS signaling drive CDK inhibitor resistance via activation of E2F and ETS. Oncotarget. 6(2). 696–714. 88 indexed citations
9.
Taylor‐Harding, Barbie, Hasmik Agadjanian, Takako Mizuno, et al.. (2013). Abstract B48: Targeting chemo-resistance in CCNE1-amplified ovarian cancer. Clinical Cancer Research. 19(19_Supplement). B48–B48. 1 indexed citations
10.
Taylor‐Harding, Barbie, Hasmik Agadjanian, Sandra Oršulić, et al.. (2013). Abstract 1749: Cell cycle requirements shape ovarian cancer progression.. Cancer Research. 73(8_Supplement). 1749–1749. 1 indexed citations
11.
Taylor‐Harding, Barbie, Hasmik Agadjanian, Hoorig Nassanian, et al.. (2011). Indole-3-carbinol synergistically sensitises ovarian cancer cells to bortezomib treatment. British Journal of Cancer. 106(2). 333–343. 31 indexed citations
12.
Taylor‐Harding, Barbie, Sandra Oršulić, Beth Y. Karlan, & Andrew J. Li. (2010). Fluvastatin and cisplatin demonstrate synergistic cytotoxicity in epithelial ovarian cancer cells. Gynecologic Oncology. 119(3). 549–556. 44 indexed citations
13.
Scoles, Daniel R., et al.. (2009). Liver X receptor agonist inhibits proliferation of ovarian carcinoma cells stimulated by oxidized low density lipoprotein. Gynecologic Oncology. 116(1). 109–116. 56 indexed citations
14.
Frolov, Maxim V., Luisa Di Stefano, Dessislava K. Dimova, et al.. (2005). Drosophila E2F1 Has Context-Specific Pro- and Antiapoptotic Properties during Development. Developmental Cell. 9(4). 463–475. 65 indexed citations
15.
Korenjak, Michael, Barbie Taylor‐Harding, Ulrich K. Binné, et al.. (2004). Native E2F/RBF Complexes Contain Myb-Interacting Proteins and Repress Transcription of Developmentally Controlled E2F Target Genes. Cell. 119(2). 181–193. 242 indexed citations
16.
Taylor‐Harding, Barbie, Ulrich K. Binné, Michael Korenjak, Alexander Brehm, & Nicholas J. Dyson. (2004). p55, the Drosophila Ortholog of RbAp46/RbAp48, Is Required for the Repression of dE2F2/RBF-Regulated Genes. Molecular and Cellular Biology. 24(20). 9124–9136. 56 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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