Fiona M. Blows

6.3k total citations
19 papers, 1.4k citations indexed

About

Fiona M. Blows is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Fiona M. Blows has authored 19 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 9 papers in Molecular Biology and 7 papers in Cancer Research. Recurrent topics in Fiona M. Blows's work include Cancer Cells and Metastasis (5 papers), Breast Cancer Treatment Studies (5 papers) and HER2/EGFR in Cancer Research (4 papers). Fiona M. Blows is often cited by papers focused on Cancer Cells and Metastasis (5 papers), Breast Cancer Treatment Studies (5 papers) and HER2/EGFR in Cancer Research (4 papers). Fiona M. Blows collaborates with scholars based in United Kingdom, United States and Australia. Fiona M. Blows's co-authors include Paul D.P. Pharoah, Carlos Caldas, Elena Provenzano, Sarah‐Jane Dawson, H. Raza Ali, Stephen O’Rahilly, John Le Quesne, C P Sewter, Antonio Vidal‐Puig and J Digby and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes and British Journal of Cancer.

In The Last Decade

Fiona M. Blows

19 papers receiving 1.3k citations

Peers

Fiona M. Blows

ONCOL

EPIDE

PRM

Xianli He China

Anna Garuti Italy

Regan M. Memmott United States

Junjeong Choi South Korea

Jun Song China

Vasyl Vasko United States

Oona Delpuech United Kingdom

Eugeni López‐Bonet Spain

Michael Lietz Germany

Angel Rodriguez United States

Xianli He China

Fiona M. Blows

291 ×0.5

ONCOL

847 ×1.5

552 ×1.2

115 ×0.7

EPIDE

169 ×1.1

PRM

Citations per year, relative to Fiona M. Blows Fiona M. Blows (= 1×) peers Xianli He

Countries citing papers authored by Fiona M. Blows

Since Specialization

Citations

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

Fields of papers citing papers by Fiona M. Blows

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fiona M. Blows

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

All Works

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19 of 19 papers shown

Blows, Fiona M., H. Raza Ali, Wei Cope, et al.. (2024). Expression of transglutaminase-2 (TGM2) in the prognosis of female invasive breast cancer. PubMed. 2(1). 5–5. 3 indexed citations

Abubakar, Mustapha, Jonine D. Figueroa, H. Raza Ali, et al.. (2019). Combined quantitative measures of ER, PR, HER2, and KI67 provide more prognostic information than categorical combinations in luminal breast cancer. Modern Pathology. 32(9). 1244–1256. 56 indexed citations

Blows, Fiona M., H. Raza Ali, Sarah‐Jane Dawson, et al.. (2015). Decline in Antigenicity of Tumor Markers by Storage Time Using Pathology Sections Cut From Tissue Microarrays. Applied immunohistochemistry & molecular morphology. 24(3). 221–226. 9 indexed citations

Ali, H. Raza, Fiona M. Blows, Elena Provenzano, et al.. (2015). PD-L1 protein expression in breast cancer is rare, enriched in basal-like tumours and associated with infiltrating lymphocytes. Annals of Oncology. 26(7). 1488–1493. 228 indexed citations

Modelska, A., Ernest Turro, Robert B. Russell, et al.. (2015). The malignant phenotype in breast cancer is driven by eIF4A1-mediated changes in the translational landscape. Cell Death and Disease. 6(1). e1603–e1603. 116 indexed citations

Wishart, Gordon, Emad A. Rakha, Andrew R. Green, et al.. (2014). Inclusion of KI67 significantly improves performance of the PREDICT prognostication and prediction model for early breast cancer. BMC Cancer. 14(1). 908–908. 40 indexed citations

Horne, Hisani N., Mark E. Sherman, Montserrat García‐Closas, et al.. (2013). Breast cancer susceptibility risk associations and heterogeneity by E-cadherin tumor tissue expression. Breast Cancer Research and Treatment. 143(1). 181–187. 18 indexed citations

Ali, H. Raza, Sarah‐Jane Dawson, Fiona M. Blows, et al.. (2013). Astronomical algorithms for automated analysis of tissue protein expression in breast cancer. British Journal of Cancer. 108(3). 602–612. 22 indexed citations

Quesne, John Le, Julia Jones, Joanna Warren, et al.. (2012). Biological and prognostic associations of miR‐205 and let‐7b in breast cancer revealed by in situ hybridization analysis of micro‐RNA expression in arrays of archival tumour tissue. The Journal of Pathology. 227(3). 306–314. 67 indexed citations

10.

Ali, H. Raza, Sarah‐Jane Dawson, Fiona M. Blows, et al.. (2011). Cancer stem cell markers in breast cancer: pathological, clinical and prognostic significance. Breast Cancer Research. 13(6). R118–R118. 89 indexed citations

11.

Ali, H. Raza, Sarah‐Jane Dawson, Fiona M. Blows, et al.. (2011). A Ki67/BCL2 index based on immunohistochemistry is highly prognostic in ER‐positive breast cancer. The Journal of Pathology. 226(1). 97–107. 68 indexed citations

12.

Mavaddat, Nasim, Paul D.P. Pharoah, Fiona M. Blows, et al.. (2010). Familial relative risks for breast cancer by pathological subtype: a population-based cohort study. Breast Cancer Research. 12(1). R10–R10. 30 indexed citations

13.

Dawson, Sarah‐Jane, Nikita Makretsov, Fiona M. Blows, et al.. (2010). BCL2 in breast cancer: a favourable prognostic marker across molecular subtypes and independent of adjuvant therapy received. British Journal of Cancer. 103(5). 668–675. 257 indexed citations

14.

Sherman, Mark E., et al.. (2010). Molecular Pathology in Epidemiologic Studies: A Primer on Key Considerations. Cancer Epidemiology Biomarkers & Prevention. 19(4). 966–972. 17 indexed citations

15.

Dawson, Sarah‐Jane, S W Duffy, Fiona M. Blows, et al.. (2009). Molecular characteristics of screen-detected vs symptomatic breast cancers and their impact on survival. British Journal of Cancer. 101(8). 1338–1344. 75 indexed citations

16.

Lelliott, Christopher J., Lisa Logie, Ciaran Sewter, et al.. (2002). Lamin Expression in Human Adipose Cells in Relation to Anatomical Site and Differentiation State. The Journal of Clinical Endocrinology & Metabolism. 87(2). 728–734. 30 indexed citations

17.

Sewter, C P, Fiona M. Blows, Robert V. Considine, Antonio Vidal‐Puig, & Stephen O’Rahilly. (2002). Differential Effects of Adiposity on Peroxisomal Proliferator-Activated Receptor γ1 and γ2 Messenger Ribonucleic Acid Expression in Human Adipocytes. The Journal of Clinical Endocrinology & Metabolism. 87(9). 4203–4207. 31 indexed citations

18.

Sewter, Ciaran, Fiona M. Blows, Antonio Vidal‐Puig, & Stephen O’Rahilly. (2002). Regional Differences in the Response of Human Pre-Adipocytes to PPARγ and RXRα Agonists. Diabetes. 51(3). 718–723. 82 indexed citations

19.

Sewter, C P, J Digby, Fiona M. Blows, Johannes B. Prins, & Stephen O’Rahilly. (1999). Regulation of tumour necrosis factor-alpha release from human adipose tissue in vitro. Journal of Endocrinology. 163(1). 33–38. 121 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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