Gillian A. Horne

1.0k total citations
21 papers, 520 citations indexed

About

Gillian A. Horne is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Gillian A. Horne has authored 21 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Hematology, 9 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Gillian A. Horne's work include Chronic Myeloid Leukemia Treatments (11 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Multiple Myeloma Research and Treatments (4 papers). Gillian A. Horne is often cited by papers focused on Chronic Myeloid Leukemia Treatments (11 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Multiple Myeloma Research and Treatments (4 papers). Gillian A. Horne collaborates with scholars based in United Kingdom, Italy and France. Gillian A. Horne's co-authors include Timothy Chevassut, Helen Stewart, Mhairi Copland, Maria V. Zabolotskaya, Christopher I. Jones, Sarah F. Newbury, Sandra Marmiroli, Xu Huang, Heather G. Jørgensen and Ross Kinstrie and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and British Journal of Cancer.

In The Last Decade

Gillian A. Horne

21 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gillian A. Horne United Kingdom 11 310 212 126 69 60 21 520
Kai Brakensiek Germany 12 263 0.8× 114 0.5× 46 0.4× 86 1.2× 28 0.5× 12 400
Maoxiang Qian China 11 315 1.0× 189 0.9× 93 0.7× 18 0.3× 77 1.3× 43 516
Iris Appelmann Germany 11 236 0.8× 108 0.5× 48 0.4× 78 1.1× 21 0.3× 22 438
Shirin Azizidoost Iran 12 256 0.8× 120 0.6× 188 1.5× 83 1.2× 27 0.5× 44 465
Jean‐Loup Huret France 6 165 0.5× 99 0.5× 83 0.7× 92 1.3× 32 0.5× 13 348
Jennifer D. Morrissette United States 7 156 0.5× 161 0.8× 57 0.5× 33 0.5× 39 0.7× 11 311
Bei Jin China 11 400 1.3× 96 0.5× 48 0.4× 42 0.6× 48 0.8× 15 578
Eva Lumbreras Spain 10 146 0.5× 138 0.7× 42 0.3× 62 0.9× 22 0.4× 23 306
Vishnupriya Satti India 13 243 0.8× 69 0.3× 106 0.8× 30 0.4× 21 0.3× 30 397

Countries citing papers authored by Gillian A. Horne

Since Specialization
Citations

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

Fields of papers citing papers by Gillian A. Horne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gillian A. Horne. 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 Gillian A. Horne. The network helps show where Gillian A. Horne may publish in the future.

Co-authorship network of co-authors of Gillian A. Horne

This figure shows the co-authorship network connecting the top 25 collaborators of Gillian A. Horne. A scholar is included among the top collaborators of Gillian A. Horne 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 Gillian A. Horne. Gillian A. Horne 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.
Horne, Gillian A., et al.. (2023). Targeting BCR-ABL1-positive leukaemias: a review article. SHILAP Revista de lepidopterología. 1. e21–e21. 6 indexed citations
2.
Qaraghuli, Mohammed M. Al, Karina Kubiak-Ossowska, Gillian A. Horne, et al.. (2021). Multiple Myeloma: Therapeutic Delivery of Antibodies and Aptamers. Therapeutic Delivery. 12(10). 705–722. 3 indexed citations
3.
Zavatti, Manuela, Luca Braglia, Benedetta Accordi, et al.. (2021). Synergistic cytotoxicity of dual PI3K/mTOR and FLT3 inhibition in FLT3-ITD AML cells. Advances in Biological Regulation. 82. 100830–100830. 8 indexed citations
6.
Kinstrie, Ross, Gillian A. Horne, Heather Morrison, et al.. (2020). CD93 is expressed on chronic myeloid leukemia stem cells and identifies a quiescent population which persists after tyrosine kinase inhibitor therapy. Leukemia. 34(6). 1613–1625. 50 indexed citations
7.
Kinstrie, Ross, Gillian A. Horne, Heather Morrison, et al.. (2020). Correction: CD93 is expressed on chronic myeloid leukemia stem cells and identifies a quiescent population which persists after tyrosine kinase inhibitor therapy. Leukemia. 34(7). 1975–1975. 1 indexed citations
8.
Horne, Gillian A., et al.. (2020). Targeting PI3K/Akt/mTOR in AML: Rationale and Clinical Evidence. Journal of Clinical Medicine. 9(9). 2934–2934. 86 indexed citations
9.
Claudiani, Simone, Silvia Metelli, Richard Szydlo, et al.. (2019). Introducing a Predictive Score for Successful Treatment Free Remission in Chronic Myeloid Leukemia (CML). Blood. 134(Supplement_1). 26–26. 8 indexed citations
10.
Horne, Gillian A. & Mhairi Copland. (2017). Approaches for targeting self-renewal pathways in cancer stem cells: implications for hematological treatments. Expert Opinion on Drug Discovery. 12(5). 465–474. 12 indexed citations
11.
Horne, Gillian A., et al.. (2017). Stem Cell Guardians – Old and New Perspectives in LSC Biology. Current Drug Targets. 18(4). 405–413. 6 indexed citations
12.
Campbell, Victoria, Anuradha Tarafdar, Edwina Dobbin, et al.. (2016). Unravelling the Complexities of Hedgehog Mediated Signal Transduction in Acute Myeloid Leukaemia and Normal Haematopoiesis. Blood. 128(22). 2881–2881. 2 indexed citations
13.
Horne, Gillian A., Heather Morrison, Victoria Campbell, et al.. (2016). Notch Pathway Activation Targets Leukemic Stem Cells in Chronic-Phase Chronic Myeloid Leukemia (CP-CML). Blood. 128(22). 3057–3057. 1 indexed citations
14.
Kinstrie, Ross, Gillian A. Horne, Heather Morrison, et al.. (2015). CD93 Is a Novel Biomarker of Leukemia Stem Cells in Chronic Myeloid Leukemia. Blood. 126(23). 49–49. 10 indexed citations
15.
Horne, Gillian A., Helen Stewart, Jacqueline Dickson, et al.. (2014). Nanog Requires BRD4 to Maintain Murine Embryonic Stem Cell Pluripotency and Is Suppressed by Bromodomain Inhibitor JQ1 Together with Lefty1. Stem Cells and Development. 24(7). 879–891. 39 indexed citations
16.
Stewart, Helen, et al.. (2013). BRD4 associates with p53 in DNMT3A‐mutated leukemia cells and is implicated in apoptosis by the bromodomain inhibitor JQ1. Cancer Medicine. 2(6). 826–835. 70 indexed citations
17.
Jones, Christopher I., Maria V. Zabolotskaya, Helen Stewart, et al.. (2012). Identification of circulating microRNAs as diagnostic biomarkers for use in multiple myeloma. British Journal of Cancer. 107(12). 1987–1996. 110 indexed citations
18.
Horne, Gillian A. & Timothy Chevassut. (2012). Pregnancy in Shwachman-Diamond syndrome: a novel genetic mutation with minimal consequence. BMJ Case Reports. 2012. bcr2012007305–bcr2012007305. 4 indexed citations
19.
Thompson, Matt, Nicholas Cheshire, Hervé Rousseau, et al.. (2007). Early Results of Endovascular Treatment of the Thoracic Aorta Using the Valiant Endograft. CardioVascular and Interventional Radiology. 30(6). 1130–1138. 44 indexed citations
20.
Jones, B., et al.. (2000). Control of an outbreak of respiratory syncytial virus infection in immunocompromized adults. Journal of Hospital Infection. 44(1). 53–57. 25 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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