Victoria Moignard

2.5k total citations
22 papers, 1.7k citations indexed

About

Victoria Moignard is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Victoria Moignard has authored 22 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Cell Biology and 4 papers in Immunology. Recurrent topics in Victoria Moignard's work include Single-cell and spatial transcriptomics (11 papers), Zebrafish Biomedical Research Applications (9 papers) and Gene Regulatory Network Analysis (7 papers). Victoria Moignard is often cited by papers focused on Single-cell and spatial transcriptomics (11 papers), Zebrafish Biomedical Research Applications (9 papers) and Gene Regulatory Network Analysis (7 papers). Victoria Moignard collaborates with scholars based in United Kingdom, Germany and Netherlands. Victoria Moignard's co-authors include Berthold Göttgens, Iain C. Macaulay, Yosuke Tanaka, Wajid Jawaid, Florian Buettner, Fabian J. Theis, Sarah Kinston, Nicola K. Wilson, Marella de Bruijn and Valérie Kouskoff and has published in prestigious journals such as Nature, Science and Nucleic Acids Research.

In The Last Decade

Victoria Moignard

22 papers receiving 1.7k citations

Peers

Victoria Moignard
Blanca Pijuan-Sala United Kingdom
Fiona Hamey United Kingdom
Gillian May United Kingdom
Rebecca Hannah United Kingdom
Lev Silberstein United States
Jianlong Sun United States
Supat Thongjuea United Kingdom
Mona Shehata United Kingdom
Victoria Moignard
Citations per year, relative to Victoria Moignard Victoria Moignard (= 1×) peers Jean-Charles Boisset

Countries citing papers authored by Victoria Moignard

Since Specialization
Citations

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

Fields of papers citing papers by Victoria Moignard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria Moignard

This figure shows the co-authorship network connecting the top 25 collaborators of Victoria Moignard. A scholar is included among the top collaborators of Victoria Moignard 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 Victoria Moignard. Victoria Moignard 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.
Gambardella, Laure, Victoria Moignard, Simon Andrews, et al.. (2019). BNC1 regulates cell heterogeneity in human pluripotent stem cell-derived epicardium. Development. 146(24). 26 indexed citations
2.
Lescroart, Fabienne, Xiaonan Wang, Xionghui Lin, et al.. (2018). Defining the earliest step of cardiovascular lineage segregation by single-cell RNA-seq. Science. 359(6380). 1177–1181. 189 indexed citations
3.
Moignard, Victoria & Berthold Göttgens. (2016). Dissecting stem cell differentiation using single cell expression profiling. Current Opinion in Cell Biology. 43. 78–86. 13 indexed citations
4.
Scialdone, Antonio, Yosuke Tanaka, Wajid Jawaid, et al.. (2016). Resolving early mesoderm diversification through single-cell expression profiling. Nature. 535(7611). 289–293. 208 indexed citations
5.
Ezer, Daphne, Victoria Moignard, Berthold Göttgens, & Boris Adryan. (2016). Determining Physical Mechanisms of Gene Expression Regulation from Single Cell Gene Expression Data. PLoS Computational Biology. 12(8). e1005072–e1005072. 16 indexed citations
6.
Wilson, Nicola K., Stefan Schoenfelder, Rebecca Hannah, et al.. (2016). Integrated genome-scale analysis of the transcriptional regulatory landscape in a blood stem/progenitor cell model. Blood. 127(13). e12–e23. 37 indexed citations
7.
Schütte, Judith, Andrew Jarratt, Nicola K. Wilson, et al.. (2016). An experimentally validated network of nine haematopoietic transcription factors reveals mechanisms of cell state stability. eLife. 5. e11469–e11469. 49 indexed citations
8.
Moignard, Victoria, Steven Woodhouse, Laleh Haghverdi, et al.. (2015). Decoding the regulatory network of early blood development from single-cell gene expression measurements. Nature Biotechnology. 33(3). 269–276. 265 indexed citations
9.
Thambyrajah, Roshana, Milena Mazan, Rahima Patel, et al.. (2015). GFI1 proteins orchestrate the emergence of haematopoietic stem cells through recruitment of LSD1. Nature Cell Biology. 18(1). 21–32. 165 indexed citations
10.
Woodhouse, Steven, Victoria Moignard, Berthold Göttgens, & Jasmin Fisher. (2015). Processing, visualising and reconstructing network models from single‐cell data. Immunology and Cell Biology. 94(3). 256–265. 15 indexed citations
11.
Mahata, Bidesh, Xiuwei Zhang, Aleksandra A. Kolodziejczyk, et al.. (2014). Single-Cell RNA Sequencing Reveals T Helper Cells Synthesizing Steroids De Novo to Contribute to Immune Homeostasis. Cell Reports. 7(4). 1130–1142. 163 indexed citations
12.
Calero‐Nieto, Fernando J., Fu Siong Ng, Nancy K. Wilson, et al.. (2014). Key regulators control distinct transcriptional programmes in blood progenitor and mast cells. The EMBO Journal. 33(11). 1212–26. 54 indexed citations
13.
Moignard, Victoria & Berthold Göttgens. (2014). Transcriptional mechanisms of cell fate decisions revealed by single cell expression profiling. BioEssays. 36(4). 419–426. 21 indexed citations
14.
Wilkinson, Adam C., Judith Schütte, Xuefei Gao, et al.. (2014). Single-cell analyses of regulatory network perturbations using enhancer-targeting TALEs suggest novel roles for PU.1 during haematopoietic specification. Development. 141(20). 4018–4030. 19 indexed citations
15.
Moignard, Victoria, Steven Woodhouse, Jasmin Fisher, & Berthold Göttgens. (2013). Transcriptional hierarchies regulating early blood cell development. Blood Cells Molecules and Diseases. 51(4). 239–247. 16 indexed citations
16.
Swiers, Gemma, Claudia Baumann, John P. O’Rourke, et al.. (2013). Early dynamic fate changes in haemogenic endothelium characterized at the single-cell level. Nature Communications. 4(1). 2924–2924. 145 indexed citations
17.
Moignard, Victoria, Iain C. Macaulay, Gemma Swiers, et al.. (2013). Characterization of transcriptional networks in blood stem and progenitor cells using high-throughput single-cell gene expression analysis. Nature Cell Biology. 15(4). 363–372. 212 indexed citations
18.
Hannan, Nicholas R. F., Robert Fordham, Yasir Ahmed Syed, et al.. (2013). Generation of Multipotent Foregut Stem Cells from Human Pluripotent Stem Cells. Stem Cell Reports. 1(4). 293–306. 68 indexed citations
19.
Schütte, Judith, Victoria Moignard, & Berthold Göttgens. (2012). Establishing the stem cell state: insights from regulatory network analysis of blood stem cell development. WIREs Systems Biology and Medicine. 4(3). 285–295. 10 indexed citations
20.
Munkley, Jennifer, Nikki A. Copeland, Victoria Moignard, et al.. (2010). Cyclin E is recruited to the nuclear matrix during differentiation, but is not recruited in cancer cells. Nucleic Acids Research. 39(7). 2671–2677. 15 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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