Brigit Greystoke

927 total citations · 1 hit paper
9 papers, 698 citations indexed

About

Brigit Greystoke is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Brigit Greystoke has authored 9 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Hematology, 3 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Brigit Greystoke's work include Acute Myeloid Leukemia Research (2 papers), Acute Lymphoblastic Leukemia research (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). Brigit Greystoke is often cited by papers focused on Acute Myeloid Leukemia Research (2 papers), Acute Lymphoblastic Leukemia research (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). Brigit Greystoke collaborates with scholars based in United Kingdom, Australia and Mexico. Brigit Greystoke's co-authors include Tim C. P. Somervaille, Allan M. Jordan, Donald Ogilvie, Yaoyong Li, Xu Huang, James R. Hitchin, James T. Lynch, Filippo Ciceri, Gary J. Spencer and William J. Harris and has published in prestigious journals such as PLoS ONE, Cancer Cell and Oncogene.

In The Last Decade

Brigit Greystoke

9 papers receiving 685 citations

Hit Papers

The Histone Demethylase KDM1A Sustains the Oncogenic Pote... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brigit Greystoke United Kingdom 6 473 220 89 74 74 9 698
Sylvia Chien United States 8 131 0.3× 142 0.6× 17 0.2× 68 0.9× 30 0.4× 25 366
Nathan Martin United States 12 267 0.6× 51 0.2× 18 0.2× 171 2.3× 60 0.8× 34 528
Helena Hohtari Finland 6 117 0.2× 97 0.4× 19 0.2× 161 2.2× 19 0.3× 9 333
Walter de Back Germany 10 260 0.5× 73 0.3× 8 0.1× 74 1.0× 28 0.4× 19 558
Luke T. Dang United States 7 254 0.5× 62 0.3× 8 0.1× 67 0.9× 27 0.4× 11 470
Christoph Bartenhagen Germany 17 423 0.9× 56 0.3× 10 0.1× 85 1.1× 19 0.3× 28 651
Alexander Brobeil Germany 16 310 0.7× 15 0.1× 26 0.3× 175 2.4× 158 2.1× 64 722
Francesco Strino United States 13 993 2.1× 39 0.2× 10 0.1× 76 1.0× 49 0.7× 19 1.2k
Zhiyao Zhang China 11 163 0.3× 129 0.6× 17 0.2× 67 0.9× 41 0.6× 43 315

Countries citing papers authored by Brigit Greystoke

Since Specialization
Citations

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

Fields of papers citing papers by Brigit Greystoke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brigit Greystoke

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

All Works

9 of 9 papers shown
2.
Moloney, Eoin, D Barge, A. Joy Allen, et al.. (2019). Efficiency and Health Economic Evaluations of BD OneFlow™ Flow Cytometry Reagents for Diagnosing Chronic Lymphoid Leukemia. Cytometry Part B Clinical Cytometry. 96(6). 514–520. 5 indexed citations
3.
McGregor, Andrew, et al.. (2016). Pathological fracture due to lytic lesion caused by a myeloid neoplasm with FIP1L1PDGFRA. British Journal of Haematology. 174(5). 660–660. 2 indexed citations
4.
Neoh, Siew Chin, Li Zhang, Stephen Todryk, et al.. (2015). An Intelligent Decision Support System for Leukaemia Diagnosis using Microscopic Blood Images. Scientific Reports. 5(1). 14938–14938. 108 indexed citations
5.
Wiseman, Daniel H., Brigit Greystoke, & Tim C. P. Somervaille. (2013). The variety of leukemic stem cells in myeloid malignancy. Oncogene. 33(24). 3091–3098. 49 indexed citations
6.
White, Daniel J., Richard D. Unwin, Eric M. Bindels, et al.. (2013). Phosphorylation of the Leukemic Oncoprotein EVI1 on Serine 196 Modulates DNA Binding, Transcriptional Repression and Transforming Ability. PLoS ONE. 8(6). e66510–e66510. 38 indexed citations
7.
Huang, Xu, James T. Lynch, James R. Hitchin, et al.. (2012). The Histone Demethylase KDM1A Sustains the Oncogenic Potential of MLL-AF9 Leukemia Stem Cells. Cancer Cell. 21(6). 856–856. 15 indexed citations
8.
Harris, William J., Xu Huang, James T. Lynch, et al.. (2012). The Histone Demethylase KDM1A Sustains the Oncogenic Potential of MLL-AF9 Leukemia Stem Cells. Cancer Cell. 21(4). 473–487. 432 indexed citations breakdown →
9.
Greystoke, Brigit, Sonia Bonanomi, Maged I. Gharib, et al.. (2008). Treosulfan‐containing regimens achieve high rates of engraftment associated with low transplant morbidity and mortality in children with non‐malignant disease and significant co‐morbidities. British Journal of Haematology. 142(2). 257–262. 48 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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