Gillian Morrison

1.7k total citations
22 papers, 992 citations indexed

About

Gillian Morrison is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Gillian Morrison has authored 22 papers receiving a total of 992 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in Gillian Morrison's work include Glioma Diagnosis and Treatment (7 papers), Pluripotent Stem Cells Research (4 papers) and Antimicrobial Peptides and Activities (4 papers). Gillian Morrison is often cited by papers focused on Glioma Diagnosis and Treatment (7 papers), Pluripotent Stem Cells Research (4 papers) and Antimicrobial Peptides and Activities (4 papers). Gillian Morrison collaborates with scholars based in United Kingdom, United States and Denmark. Gillian Morrison's co-authors include Joshua M. Brickman, Julia R. Dorin, Donald J. Davidson, Fiona Kilanowski, Steven M. Pollard, Alessandra Livigni, Faye Robertson, María Ángeles Marqués‐Torrejón, Rosa Portero Migueles and Shamit Soneji and has published in prestigious journals such as Nature Communications, The EMBO Journal and Development.

In The Last Decade

Gillian Morrison

22 papers receiving 975 citations

Peers

Gillian Morrison

MICRO

IMMUN

GENET

Elizabeth S. Danka United States

Shu‐Yi Wei Taiwan

Oscar E. Simonson Sweden

Revital Shamri United States

Christina L. Thomas‐Virnig United States

Tommaso Meo France

Balint Otvos United States

Rahul Purwar India

Sharifah Iqball United Kingdom

Cristina Maxia Italy

Elizabeth S. Danka United States

Gillian Morrison

297 ×0.5

198 ×0.7

MICRO

259 ×1.3

IMMUN

353 ×2.5

GENET

94 ×1.1

Citations per year, relative to Gillian Morrison Gillian Morrison (= 1×) peers Elizabeth S. Danka

Countries citing papers authored by Gillian Morrison

Since Specialization

Citations

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

Fields of papers citing papers by Gillian Morrison

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gillian Morrison

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

All Works

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20 of 20 papers shown

Furqan, Muhammad, Richard Elliott, Peter W. Nagle, et al.. (2025). Drug Combinations Targeting FAK and MEK Overcomes Tumor Heterogeneity in Glioblastoma. Pharmaceutics. 17(5). 549–549. 2 indexed citations

Damhofer, Helene, Tülin Tatar, Benjamin Southgate, et al.. (2024). TAK1 inhibition leads to RIPK1-dependent apoptosis in immune-activated cancers. Cell Death and Disease. 15(4). 273–273. 6 indexed citations

Robertson, Faye, Eoghan O’Duibhir, Ester Gangoso, et al.. (2023). Elevated FOXG1 in glioblastoma stem cells cooperates with Wnt/β-catenin to induce exit from quiescence. Cell Reports. 42(6). 112561–112561. 5 indexed citations

Purshouse, Karin, Elias T. Friman, Shelagh Boyle, et al.. (2022). Oncogene expression from extrachromosomal DNA is driven by copy number amplification and does not require spatial clustering in glioblastoma stem cells. eLife. 11. 21 indexed citations

Badodi, Sara, Nicola Pomella, Yau Mun Lim, et al.. (2022). Combination of BMI1 and MAPK/ERK inhibitors is effective in medulloblastoma. Neuro-Oncology. 24(8). 1273–1285. 8 indexed citations

Badodi, Sara, Nicola Pomella, Xinyu Zhang, et al.. (2021). Inositol treatment inhibits medulloblastoma through suppression of epigenetic-driven metabolic adaptation. Nature Communications. 12(1). 2148–2148. 19 indexed citations

Gerigk, Magda, Harry Bulstrode, Haotian Shi, et al.. (2021). On-chip perivascularnichesupporting stemness of patient-derived glioma cells in a serum-free, flowable culture. Lab on a Chip. 21(12). 2343–2358. 23 indexed citations

Brooks, Lucy, Melanie Clements, Jemima J. Burden, et al.. (2021). The white matter is a pro-differentiative niche for glioblastoma. Nature Communications. 12(1). 2184–2184. 54 indexed citations

Bressan, Raul Bardini, Benjamin Southgate, Kirsty M. Ferguson, et al.. (2021). Regional identity of human neural stem cells determines oncogenic responses to histone H3.3 mutants. Cell stem cell. 28(5). 877–893.e9. 49 indexed citations

10.

Robertson, Faye, María Ángeles Marqués‐Torrejón, Gillian Morrison, & Steven M. Pollard. (2019). Experimental models and tools to tackle glioblastoma. Disease Models & Mechanisms. 12(9). 71 indexed citations

11.

Southgate, Benjamin, Eoghan O’Duibhir, Niall Quinn, et al.. (2018). An efficient and scalable pipeline for epitope tagging in mammalian stem cells using Cas9 ribonucleoprotein. eLife. 7. 42 indexed citations

12.

Morrison, Gillian, Roberta Scognamiglio, Andreas Trumpp, & Austin Smith. (2015). Convergence of cMyc and β‐catenin on Tcf7l1 enables endoderm specification. The EMBO Journal. 35(3). 356–368. 26 indexed citations

13.

Todd, M. Jason, et al.. (2014). Communicating flood risk through three-dimensional visualisation. Proceedings of the Institution of Civil Engineers - Civil Engineering. 167(5). 48–55. 12 indexed citations

14.

Morrison, Gillian, Alexei A. Sharov, Alessandra Livigni, et al.. (2012). Transcriptional Activation by Oct4 Is Sufficient for the Maintenance and Induction of Pluripotency. Cell Reports. 1(2). 99–109. 57 indexed citations

15.

Livigni, Alessandra, et al.. (2009). Differentiation of Embryonic Stem Cells into Anterior Definitive Endoderm. Current Protocols in Stem Cell Biology. 10(1). Unit 1G.3–Unit 1G.3. 12 indexed citations

16.

Morrison, Gillian, Rosa Portero Migueles, Shamit Soneji, et al.. (2008). Anterior Definitive Endoderm from ESCs Reveals a Role for FGF Signaling. Cell stem cell. 3(4). 402–415. 105 indexed citations

17.

Morrison, Gillian & Joshua M. Brickman. (2006). Conserved roles for Oct4 homologues in maintaining multipotency during early vertebrate development. Development. 133(10). 2011–2022. 139 indexed citations

18.

Morrison, Gillian, Mark Rolfe, Fiona Kilanowski, Sally H. Cross, & Julia R. Dorin. (2002). Identification and characterization of a novel murine beta-defensin-related gene. Mammalian Genome. 13(8). 445–451. 23 indexed citations

19.

Morrison, Gillian, Donald J. Davidson, & Julia R. Dorin. (1999). A novel mouse beta defensin, Defb2, which is upregulated in the airways by lipopolysaccharide. FEBS Letters. 442(1). 112–116. 68 indexed citations

20.

Morrison, Gillian, Donald J. Davidson, Fiona Kilanowski, et al.. (1998). Mouse beta defensin-1 is a functional homolog of human beta defensin-1. Mammalian Genome. 9(6). 453–457. 78 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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