Yangxin Fu

620 total citations
22 papers, 486 citations indexed

About

Yangxin Fu is a scholar working on Molecular Biology, Oncology and Reproductive Medicine. According to data from OpenAlex, Yangxin Fu has authored 22 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Oncology and 7 papers in Reproductive Medicine. Recurrent topics in Yangxin Fu's work include Ovarian cancer diagnosis and treatment (7 papers), PARP inhibition in cancer therapy (3 papers) and Kruppel-like factors research (3 papers). Yangxin Fu is often cited by papers focused on Ovarian cancer diagnosis and treatment (7 papers), PARP inhibition in cancer therapy (3 papers) and Kruppel-like factors research (3 papers). Yangxin Fu collaborates with scholars based in Canada, United States and Australia. Yangxin Fu's co-authors include Zhihua Xu, Helen Steed, Ahmed El‐Sehemy, Lynne‐Marie Postovit, Nidhi Gupta, Mark W. Nachtigal, Abul Kalam Azad, Samir H. Barghout, Elizabeth J. Campbell and Trevor G. Shepherd and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Yangxin Fu

22 papers receiving 482 citations

Peers

Yangxin Fu
Ge Lou China
Z. Ping Lin United States
Minhong Tang Ireland
David Mysona United States
Joanne M. Munck United Kingdom
Himavanth R. Gatla United States
Ge Lou China
Yangxin Fu
Citations per year, relative to Yangxin Fu Yangxin Fu (= 1×) peers Ge Lou

Countries citing papers authored by Yangxin Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yangxin Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yangxin Fu. 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 Yangxin Fu. The network helps show where Yangxin Fu may publish in the future.

Co-authorship network of co-authors of Yangxin Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Yangxin Fu. A scholar is included among the top collaborators of Yangxin Fu 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 Yangxin Fu. Yangxin Fu 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.
Cooper, Tyler T., Gabrielle M. Siegers, Desmond Pink, et al.. (2024). Targeted proteomics of plasma extracellular vesicles uncovers MUC1 as combinatorial biomarker for the early detection of high-grade serous ovarian cancer. Journal of Ovarian Research. 17(1). 5 indexed citations
2.
Lee, Laura, Krista M. Vincent, Zhihua Xu, et al.. (2024). Transcription factor ZIC2 regulates the tumorigenic phenotypes associated with both bulk and cancer stem cells in epithelial ovarian cancer. Oncogene. 43(22). 1688–1700. 1 indexed citations
3.
Wong, Nelson K.Y., Marta Llauradó Fernández, Hannah Kim, et al.. (2024). Preclinical 3D model screening reveals digoxin as an effective therapy for a rare and aggressive type of endometrial cancer. Gynecologic Oncology. 188. 162–168. 1 indexed citations
4.
Köbel, Martin, Eun Young Kang, Linda S. Cook, et al.. (2023). Survey of NF1 inactivation by surrogate immunohistochemistry in ovarian carcinomas. Gynecologic Oncology. 178. 80–88. 4 indexed citations
6.
Färkkilä, Anniina, Adrianne L. Jenner, Kyle Potts, et al.. (2021). Procaspase-Activating Compound-1 Synergizes with TRAIL to Induce Apoptosis in Established Granulosa Cell Tumor Cell Line (KGN) and Explanted Patient Granulosa Cell Tumor Cells In Vitro. International Journal of Molecular Sciences. 22(9). 4699–4699. 7 indexed citations
7.
Cooper, Tyler T., Gilles Lajoie, Stephen Pasternak, et al.. (2021). Characterization of ovarian cancer-derived extracellular vesicles by surface-enhanced Raman spectroscopy. The Analyst. 146(23). 7194–7206. 27 indexed citations
8.
Azad, Abul Kalam, Nidhi Gupta, Zhihua Xu, et al.. (2019). RUNX3 Promotes the Tumorigenic Phenotype in KGN, a Human Granulosa Cell Tumor-Derived Cell Line. International Journal of Molecular Sciences. 20(14). 3471–3471. 10 indexed citations
9.
Han, Xiaolu, et al.. (2018). Pharmacological Inhibition of p38 MAPK by SB203580 Increases Resistance to Carboplatin in A2780cp Cells and Promotes Growth in Primary Ovarian Cancer Cells. International Journal of Molecular Sciences. 19(8). 2184–2184. 17 indexed citations
10.
El‐Sehemy, Ahmed, Lynne‐Marie Postovit, & Yangxin Fu. (2016). Nitric oxide signaling in human ovarian cancer: A potential therapeutic target. Nitric Oxide. 54. 30–37. 31 indexed citations
11.
Jain, Saket, Abul Kalam Azad, Xia Xu, et al.. (2016). Notch and TGFβ form a positive regulatory loop and regulate EMT in epithelial ovarian cancer cells. Cellular Signalling. 28(8). 838–849. 50 indexed citations
12.
Barghout, Samir H., Krista M. Vincent, Abul Kalam Azad, et al.. (2015). RUNX3 contributes to carboplatin resistance in epithelial ovarian cancer cells. Gynecologic Oncology. 138(3). 647–655. 28 indexed citations
13.
Barghout, Samir H., et al.. (2015). Elevated β-catenin activity contributes to carboplatin resistance in A2780cp ovarian cancer cells. Biochemical and Biophysical Research Communications. 468(1-2). 173–178. 36 indexed citations
14.
Tzeng, Tiffany J., Lei Cao, Yangxin Fu, Huawei Zeng, & Wen‐Hsing Cheng. (2014). Methylseleninic Acid Sensitizes Notch3-Activated OVCA429 Ovarian Cancer Cells to Carboplatin. PLoS ONE. 9(7). e101664–e101664. 7 indexed citations
15.
Gupta, Nidhi, Zhihua Xu, Ahmed El‐Sehemy, Helen Steed, & Yangxin Fu. (2013). Notch3 induces epithelial–mesenchymal transition and attenuates carboplatin-induced apoptosis in ovarian cancer cells. Gynecologic Oncology. 130(1). 200–206. 64 indexed citations
16.
Alisaraie, Laleh, Yangxin Fu, & Jack A. Tuszyński. (2012). Dynamic Change of Heme Environment in Soluble Guanylate Cyclase and Complexation of NO‐Independent Drug Agents with H‐NOX Domain. Chemical Biology & Drug Design. 81(3). 359–381. 2 indexed citations
17.
Fu, Yangxin & Mark W. Nachtigal. (2011). Analysis of Epigenetic Alterations to Proprotein Convertase Genes in Disease. Methods in molecular biology. 768. 231–245. 3 indexed citations
18.
Xu, Zhihua, Yanyan Jiang, Helen Steed, Sandra T. Davidge, & Yangxin Fu. (2010). TGFβ and EGF synergistically induce a more invasive phenotype of epithelial ovarian cancer cells. Biochemical and Biophysical Research Communications. 401(3). 376–381. 40 indexed citations
19.
Fu, Yangxin, Elizabeth J. Campbell, Trevor G. Shepherd, & Mark W. Nachtigal. (2003). Epigenetic regulation of proprotein convertase PACE4 gene expression in human ovarian cancer cells.. PubMed. 1(8). 569–76. 35 indexed citations
20.
Zhang, Yuwen, Suk‐Chul Bae, Gang Huang, et al.. (1997). A Novel Transcript Encoding an N-Terminally Truncated AML1/PEBP2αB Protein Interferes with Transactivation and Blocks Granulocytic Differentiation of 32Dcl3 Myeloid Cells. Molecular and Cellular Biology. 17(7). 4133–4145. 71 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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