Hannah Harrison

1.8k total citations
27 papers, 1.5k citations indexed

About

Hannah Harrison is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Hannah Harrison has authored 27 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 14 papers in Molecular Biology and 9 papers in Cancer Research. Recurrent topics in Hannah Harrison's work include Cancer Cells and Metastasis (15 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Epigenetics and DNA Methylation (4 papers). Hannah Harrison is often cited by papers focused on Cancer Cells and Metastasis (15 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Epigenetics and DNA Methylation (4 papers). Hannah Harrison collaborates with scholars based in United Kingdom, Sweden and United States. Hannah Harrison's co-authors include Robert B. Clarke, Gillian Farnie, Keith Brennan, Sacha J. Howell, Nigel Bundred, Spyros Stylianou, Rebecca E. Rock, Bruno M. Simões, Rebecca Lamb and Matthew P. Ablett and has published in prestigious journals such as PLoS ONE, Cancer Research and Oncogene.

In The Last Decade

Hannah Harrison

26 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hannah Harrison United Kingdom 15 976 804 432 105 103 27 1.5k
Tiffany M. Phillips United States 8 817 0.8× 903 1.1× 436 1.0× 83 0.8× 89 0.9× 11 1.5k
Amanda K. Paulson United States 6 798 0.8× 1.0k 1.3× 368 0.9× 62 0.6× 92 0.9× 8 1.4k
Ylenia Lombardo United Kingdom 18 815 0.8× 702 0.9× 459 1.1× 70 0.7× 85 0.8× 20 1.4k
Pengfei Shi China 9 956 1.0× 656 0.8× 460 1.1× 161 1.5× 94 0.9× 15 1.5k
Kideok Jin United States 20 864 0.9× 580 0.7× 310 0.7× 49 0.5× 77 0.7× 28 1.3k
Sarah J. Conley United States 7 655 0.7× 553 0.7× 497 1.2× 107 1.0× 68 0.7× 13 1.1k
Yu-Mei Feng China 21 847 0.9× 466 0.6× 383 0.9× 40 0.4× 92 0.9× 41 1.3k
Salina Yuan United States 10 851 0.9× 669 0.8× 450 1.0× 57 0.5× 131 1.3× 11 1.3k
Ashish Juvekar United States 11 804 0.8× 468 0.6× 316 0.7× 65 0.6× 91 0.9× 22 1.3k
Wan-Ching Yen United States 17 912 0.9× 590 0.7× 232 0.5× 40 0.4× 77 0.7× 47 1.3k

Countries citing papers authored by Hannah Harrison

Since Specialization
Citations

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

Fields of papers citing papers by Hannah Harrison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannah Harrison

This figure shows the co-authorship network connecting the top 25 collaborators of Hannah Harrison. A scholar is included among the top collaborators of Hannah Harrison 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 Hannah Harrison. Hannah Harrison 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.
Howell, Sacha J., et al.. (2024). A novel preclinical model of the normal human breast. Journal of Mammary Gland Biology and Neoplasia. 29(1). 9–9. 2 indexed citations
2.
Harrison, Hannah, et al.. (2024). State of the Art Modelling of the Breast Cancer Metastatic Microenvironment: Where Are We?. Journal of Mammary Gland Biology and Neoplasia. 29(1). 14–14. 2 indexed citations
3.
Harrison, Hannah. (2023). Navigating Critical Care: Anesthesia and Surgical Considerations in Emergency Situations. Zenodo (CERN European Organization for Nuclear Research).
4.
Harvie, Michelle, Suzanne Krizak, Katharine Sellers, et al.. (2022). Prevention Of Breast and Endometrial cancer using Total Diet Replacement (PROBE-TDR) trial: protocol for a randomised controlled trial. BMJ Open. 12(7). e057161–e057161. 1 indexed citations
5.
Walsh, Claire, Nina Akrap, Elena Garré, et al.. (2020). The mevalonate precursor enzyme HMGCS1 is a novel marker and key mediator of cancer stem cell enrichment in luminal and basal models of breast cancer. PLoS ONE. 15(7). e0236187–e0236187. 28 indexed citations
6.
Ran, Ran, Hannah Harrison, Wensheng Deng, et al.. (2020). A role for CBFβ in maintaining the metastatic phenotype of breast cancer cells. Oncogene. 39(12). 2624–2637. 11 indexed citations
7.
Rhost, Sara, Hannah Harrison, Pernilla Gregersson, et al.. (2018). Sortilin inhibition limits secretion-induced progranulin-dependent breast cancer progression and cancer stem cell expansion. Breast Cancer Research. 20(1). 137–137. 45 indexed citations
8.
Harrison, Hannah, et al.. (2018). HIF1-alpha expressing cells induce a hypoxic-like response in neighbouring cancer cells. BMC Cancer. 18(1). 674–674. 26 indexed citations
9.
Fitzpatrick, Paul, Nina Akrap, Elin Söderberg, et al.. (2017). Robotic Mammosphere Assay for High-Throughput Screening in Triple-Negative Breast Cancer. SLAS DISCOVERY. 22(7). 827–836. 2 indexed citations
10.
Lamb, Rebecca, Hannah Harrison, Duncan L. Smith, et al.. (2015). Targeting tumor-initiating cells: Eliminating anabolic cancer stem cells with inhibitors of protein synthesis or by mimicking caloric restriction. Oncotarget. 6(7). 4585–4601. 54 indexed citations
11.
Lamb, Rebecca, Hannah Harrison, James Hulit, et al.. (2014). Mitochondria as new therapeutic targets for eradicating cancer stem cells: Quantitative proteomics and functional validation via MCT1/2 inhibition. Oncotarget. 5(22). 11029–11037. 165 indexed citations
12.
McClements, Lana, Anita Yakkundi, Angelos Papaspyropoulos, et al.. (2013). Targeting Treatment-Resistant Breast Cancer Stem Cells with FKBPL and Its Peptide Derivative, AD-01, via the CD44 Pathway. Clinical Cancer Research. 19(14). 3881–3893. 55 indexed citations
13.
Harrison, Hannah, et al.. (2012). Contrasting Hypoxic Effects on Breast Cancer Stem Cell Hierarchy Is Dependent on ER-α Status. Cancer Research. 73(4). 1420–1433. 50 indexed citations
14.
Shaw, Frances L., Hannah Harrison, Katherine Spence, et al.. (2012). A Detailed Mammosphere Assay Protocol for the Quantification of Breast Stem Cell Activity. Journal of Mammary Gland Biology and Neoplasia. 17(2). 111–117. 274 indexed citations
15.
16.
Harrison, Hannah, Gillian Farnie, Sacha J. Howell, et al.. (2010). Regulation of Breast Cancer Stem Cell Activity by Signaling through the Notch4 Receptor. Cancer Research. 70(2). 709–718. 427 indexed citations
17.
18.
Warren, Madhuri, Yeun‐Jun Chung, William Howat, et al.. (2009). Irradiated Blm-deficient mice are a highly tumor prone model for analysis of a broad spectrum of hematologic malignancies. Leukemia Research. 34(2). 210–220. 10 indexed citations
19.
Weyden, Louise van der, Mark J. Arends, Oliver M. Dovey, et al.. (2008). Loss of Rassf1a cooperates with ApcMin to accelerate intestinal tumourigenesis. Oncogene. 27(32). 4503–4508. 28 indexed citations
20.
Lamb, Rebecca, Hannah Harrison, & Robert B. Clarke. (2008). Mammary Development, Carcinomas and Progesterone: Role of Wnt Signalling. PubMed. 151–170. 10 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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