Fiona Haxho

486 total citations
15 papers, 378 citations indexed

About

Fiona Haxho is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Fiona Haxho has authored 15 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Cell Biology. Recurrent topics in Fiona Haxho's work include Glycosylation and Glycoproteins Research (5 papers), Cancer Research and Treatments (2 papers) and Epigenetics and DNA Methylation (2 papers). Fiona Haxho is often cited by papers focused on Glycosylation and Glycoproteins Research (5 papers), Cancer Research and Treatments (2 papers) and Epigenetics and DNA Methylation (2 papers). Fiona Haxho collaborates with scholars based in Canada, United States and Saudi Arabia. Fiona Haxho's co-authors include Myron R. Szewczuk, Ronald J. Neufeld, Norman D. Rosenblum, Sabah Haq, Epshita A. Islam, Jason E. Cain, Stephanie Allison‐Logan, Samar Abdulkhalek, Erica Nieuwenhuis and Lin Chen and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Journal of the American Academy of Dermatology.

In The Last Decade

Fiona Haxho

12 papers receiving 373 citations

Peers

Fiona Haxho
Jane Carr‐Wilkinson United Kingdom
Sharon L. Wong Australia
Huaiyu Zheng United States
Magdalena Bieniasz United States
Pranjali Kanvinde United States
Fiona Haxho
Citations per year, relative to Fiona Haxho Fiona Haxho (= 1×) peers Claudie Paquet

Countries citing papers authored by Fiona Haxho

Since Specialization
Citations

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

Fields of papers citing papers by Fiona Haxho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fiona Haxho

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

All Works

15 of 15 papers shown
2.
Haxho, Fiona, et al.. (2025). Wound Care – Part I: A practical approach to local wound care and dressing selection. Journal of the American Academy of Dermatology.
3.
Haxho, Fiona, et al.. (2025). Wound Care – Part II: Tissue-engineered skin substitutes & other advanced wound therapies. Journal of the American Academy of Dermatology.
5.
Sambi, Manpreet, et al.. (2017). Alternative therapies for metastatic breast cancer: multimodal approach targeting tumor cell heterogeneity. Breast Cancer Targets and Therapy. Volume 9. 85–93. 21 indexed citations
6.
Haq, Sabah, Fiona Haxho, Roman Akasov, et al.. (2017). Sialylation facilitates self-assembly of 3D multicellular prostaspheres by using cyclo-RGDfK(TPP) peptide. OncoTargets and Therapy. Volume 10. 2427–2447. 12 indexed citations
7.
Haxho, Fiona, Sabah Haq, & Myron R. Szewczuk. (2017). Biased G protein-coupled receptor agonism mediates Neu1 sialidase and matrix metalloproteinase-9 crosstalk to induce transactivation of insulin receptor signaling. Cellular Signalling. 43. 71–84. 38 indexed citations
8.
Haxho, Fiona, Ronald J. Neufeld, & Myron R. Szewczuk. (2016). Neuraminidase-1: A novel therapeutic target in multistage tumorigenesis. Oncotarget. 7(26). 40860–40881. 67 indexed citations
9.
Akasov, Roman, Sabah Haq, Fiona Haxho, et al.. (2016). Sialylation transmogrifies human breast and pancreatic cancer cells into 3D multicellular tumor spheroids using cyclic RGD-peptide induced self-assembly. Oncotarget. 7(40). 66119–66134. 21 indexed citations
10.
Szewczuk, Myron R., Michael Hrynyk, Fiona Haxho, et al.. (2015). Therapeutic designed poly (lactic-co-glycolic acid) cylindrical oseltamivir phosphate-loaded implants impede tumor neovascularization, growth and metastasis in mouse model of human pancreatic carcinoma. Drug Design Development and Therapy. 9. 4573–4573. 24 indexed citations
11.
Szewczuk, Myron R., et al.. (2014). Oseltamivir phosphate monotherapy ablates tumor neovascularization, growth, and metastasis in mouse model of human triple-negative breast adenocarcinoma. Breast Cancer Targets and Therapy. 6. 191–191. 34 indexed citations
12.
Haxho, Fiona. (2014). Novel Insulin Receptor-Signaling Platform. 1(1). 8 indexed citations
13.
Abdulkhalek, Samar, et al.. (2014). Transcriptional factor snail controls tumor neovascularization, growth and metastasis in mouse model of human ovarian carcinoma. Clinical and Translational Medicine. 3(1). 27 indexed citations
14.
Cain, Jason E., et al.. (2011). GLI3 repressor controls functional development of the mouse ureter. Journal of Clinical Investigation. 121(3). 1199–1206. 54 indexed citations
15.
Cain, Jason E., Epshita A. Islam, Fiona Haxho, et al.. (2009). GLI3 Repressor Controls Nephron Number via Regulation of Wnt11 and Ret in Ureteric Tip Cells. PLoS ONE. 4(10). e7313–e7313. 66 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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