Fiona C. Dempsey

474 total citations
12 papers, 276 citations indexed

About

Fiona C. Dempsey is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Computational Theory and Mathematics. According to data from OpenAlex, Fiona C. Dempsey has authored 12 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Computational Theory and Mathematics. Recurrent topics in Fiona C. Dempsey's work include S100 Proteins and Annexins (7 papers), Radiopharmaceutical Chemistry and Applications (5 papers) and Computational Drug Discovery Methods (4 papers). Fiona C. Dempsey is often cited by papers focused on S100 Proteins and Annexins (7 papers), Radiopharmaceutical Chemistry and Applications (5 papers) and Computational Drug Discovery Methods (4 papers). Fiona C. Dempsey collaborates with scholars based in United Kingdom, United States and Canada. Fiona C. Dempsey's co-authors include Peter Maskell, Laura J. Waters, Carl S. Goodyear, Frank Köentgen, Sarah McGrath, D Corkill, E. Suzanne Cohen, Aysın Tulunay Virlan, Rosamund Wilson and Richard May and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Oncogene.

In The Last Decade

Fiona C. Dempsey

10 papers receiving 266 citations

Peers

Fiona C. Dempsey
Mi-Ae Lim South Korea
Richard Knowles United Kingdom
Lu Xiao China
Steven W. Cotten United States
Virgil S. Lucas United States
G E Valkirs United States
Shirley M. Williams United States
Fiona C. Dempsey
Citations per year, relative to Fiona C. Dempsey Fiona C. Dempsey (= 1×) peers Armin Buchwald

Countries citing papers authored by Fiona C. Dempsey

Since Specialization
Citations

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

Fields of papers citing papers by Fiona C. Dempsey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fiona C. Dempsey

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

All Works

12 of 12 papers shown
1.
Pepper, Chris, et al.. (2024). A therapeutic antibody targeting annexin-A1 inhibits cancer cell growth in vitro and in vivo. Oncogene. 43(8). 608–614. 16 indexed citations
2.
Palmer, Daniel H., Stefan N. Symeonides, Fiona C. Dempsey, et al.. (2024). ATTAINMENT: A phase Ib trial of MDX-124, a first-in-class annexin-A1 targeting antibody, alone and in combination with anti-cancer treatments, in patients with advanced solid tumors.. Journal of Clinical Oncology. 42(16_suppl). TPS2671–TPS2671.
3.
Dempsey, Fiona C., et al.. (2022). Abstract 5294: MDX-124, a novel annexin-A1 antibody, induces significant anti-cancer activity in multiple preclinical models. Cancer Research. 82(12_Supplement). 5294–5294.
4.
McGrath, Sarah, et al.. (2022). Annexin‐A1: The culprit or the solution?. Immunology. 166(1). 2–16. 38 indexed citations
5.
Dempsey, Fiona C., et al.. (2022). Efficacy of MDX-124, a novel anti-annexin-A1 antibody, in preclinical models of pancreatic cancer.. Journal of Clinical Oncology. 40(4_suppl). 590–590. 2 indexed citations
6.
Dempsey, Fiona C., et al.. (2021). Abstract 1874: MDX-124, a novel annexin-A1 antibody, induces an anti-tumor immune response and wide-ranging anti-cancer activity in multiple preclinical models. Cancer Research. 81(13_Supplement). 1874–1874. 1 indexed citations
7.
Smith, Lee, Christopher N. Parris, Nicola Veronese, et al.. (2020). Cross-sectional associations between angiotensin-converting enzyme inhibitor use and cancer diagnosis in US adults. Clinical and Experimental Medicine. 20(3). 409–416. 3 indexed citations
8.
Dempsey, Fiona C., et al.. (2020). Abstract 3356: Annexin-A1 as a potential therapeutic target for solid tumors. Cancer Research. 80(16_Supplement). 3356–3356. 1 indexed citations
9.
Waters, Laura, et al.. (2018). The emergence of new psychoactive substance (NPS) benzodiazepines: A review. Drug Testing and Analysis. 10(2). 392–393. 15 indexed citations
10.
Dempsey, Fiona C., Mélanie Jimenez, Henry Bock, et al.. (2017). High-throughput assessment of mechanical properties of stem cell derived red blood cells, toward cellular downstream processing. Scientific Reports. 7(1). 14457–14457. 22 indexed citations
11.
Waters, Laura J., et al.. (2017). The emergence of new psychoactive substance (NPS) benzodiazepines: A review. Drug Testing and Analysis. 10(1). 37–53. 95 indexed citations
12.
May, Richard, E. Suzanne Cohen, Fiona C. Dempsey, et al.. (2011). Preclinical development of CAT‐354, an IL‐13 neutralizing antibody, for the treatment of severe uncontrolled asthma. British Journal of Pharmacology. 166(1). 177–193. 83 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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