Ana Cvejic

6.8k total citations · 1 hit paper
33 papers, 2.0k citations indexed

About

Ana Cvejic is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Ana Cvejic has authored 33 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 12 papers in Cell Biology and 12 papers in Immunology. Recurrent topics in Ana Cvejic's work include Single-cell and spatial transcriptomics (18 papers), Zebrafish Biomedical Research Applications (12 papers) and Immune Cell Function and Interaction (9 papers). Ana Cvejic is often cited by papers focused on Single-cell and spatial transcriptomics (18 papers), Zebrafish Biomedical Research Applications (12 papers) and Immune Cell Function and Interaction (9 papers). Ana Cvejic collaborates with scholars based in United Kingdom, South Sudan and United States. Ana Cvejic's co-authors include Iain C. Macaulay, Sarah A. Teichmann, Valentine Svensson, Charlotte Labalette, Lauren Ferreira, Paulina M. Strzelecka, Emmanouil Athanasiadis, Kedar Nath Natarajan, Ricardo J. Miragaia and Anna Maria Ranzoni and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Ana Cvejic

33 papers receiving 2.0k citations

Hit Papers

Single-cell and spatial transcriptomics analysis of non-s... 2024 2026 2025 2024 20 40 60

Peers

Ana Cvejic
Fiona Hamey United Kingdom
Evangelia Diamanti United Kingdom
Rebecca Hannah United Kingdom
Jianlong Sun United States
Victoria Moignard United Kingdom
Lars Velten Germany
Supat Thongjuea United Kingdom
Sarah Kinston United Kingdom
Fiona Hamey United Kingdom
Ana Cvejic
Citations per year, relative to Ana Cvejic Ana Cvejic (= 1×) peers Fiona Hamey

Countries citing papers authored by Ana Cvejic

Since Specialization
Citations

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

Fields of papers citing papers by Ana Cvejic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ana Cvejic

This figure shows the co-authorship network connecting the top 25 collaborators of Ana Cvejic. A scholar is included among the top collaborators of Ana Cvejic 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 Ana Cvejic. Ana Cvejic 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.
Zuani, Marco De, Jun Sung Park, Stefan C. Dentro, et al.. (2024). Single-cell and spatial transcriptomics analysis of non-small cell lung cancer. Nature Communications. 15(1). 4388–4388. 64 indexed citations breakdown →
2.
Rodriguez-Fraticelli, Alejo, et al.. (2023). Exploiting somatic mutations to decipher human blood production: a natural lineage-tracing strategy. Experimental Hematology. 121. 2–5. 1 indexed citations
3.
Neep, T. J., Simone G. Riva, & Ana Cvejic. (2022). SMaSH: a scalable, general marker gene identification framework for single-cell RNA-sequencing. BMC Bioinformatics. 23(1). 328–328. 15 indexed citations
4.
Tangherloni, Andrea, et al.. (2021). Analysis of single-cell RNA sequencing data based on autoencoders. BOA (University of Milano-Bicocca). 16 indexed citations
5.
Chapman, Michael Spencer, Anna Maria Ranzoni, Brynelle Myers, et al.. (2021). Lineage tracing of human development through somatic mutations. Nature. 595(7865). 85–90. 84 indexed citations
6.
Ranzoni, Anna Maria, Andrea Tangherloni, Ivan Berest, et al.. (2020). Integrative Single-Cell RNA-Seq and ATAC-Seq Analysis of Human Developmental Hematopoiesis. Cell stem cell. 28(3). 472–487.e7. 192 indexed citations
7.
Strzelecka, Paulina M., Anna Maria Ranzoni, & Ana Cvejic. (2020). Single-Cell Transcriptomic Analysis of Hematopoietic Cells. Methods in molecular biology. 2185. 135–158. 1 indexed citations
8.
Hernández, Pedro P., Paulina M. Strzelecka, Emmanouil Athanasiadis, et al.. (2018). Single-cell transcriptional analysis reveals ILC-like cells in zebrafish. Science Immunology. 3(29). 85 indexed citations
9.
Bielczyk-Maczyńska, Ewa, et al.. (2017). Loss of the homologous recombination gene rad51 leads to Fanconi anemia-like symptoms in zebrafish. Proceedings of the National Academy of Sciences. 114(22). E4452–E4461. 27 indexed citations
10.
Athanasiadis, Emmanouil, et al.. (2017). Single-cell RNA-sequencing uncovers transcriptional states and fate decisions in haematopoiesis. Nature Communications. 8(1). 2045–2045. 108 indexed citations
11.
Carmona, Santiago J., Sarah A. Teichmann, Lauren Ferreira, et al.. (2017). Single-cell transcriptome analysis of fish immune cells provides insight into the evolution of vertebrate immune cell types. Genome Research. 27(3). 451–461. 92 indexed citations
12.
Nagaraju, Raghavendar T., Emmanouil Athanasiadis, Caroline Gray, et al.. (2016). CD4-Transgenic Zebrafish Reveal Tissue-Resident Th2- and Regulatory T Cell–like Populations and Diverse Mononuclear Phagocytes. The Journal of Immunology. 197(9). 3520–3530. 108 indexed citations
13.
Bielczyk-Maczyńska, Ewa, Lauren Ferreira, Tobias Fleischmann, et al.. (2015). The Ribosome Biogenesis Protein Nol9 Is Essential for Definitive Hematopoiesis and Pancreas Morphogenesis in Zebrafish. PLoS Genetics. 11(12). e1005677–e1005677. 21 indexed citations
14.
Bielczyk-Maczyńska, Ewa, Jovana Serbanovic‐Canic, Lauren Ferreira, et al.. (2014). A Loss of Function Screen of Identified Genome-Wide Association Study Loci Reveals New Genes Controlling Hematopoiesis. PLoS Genetics. 10(7). e1004450–e1004450. 19 indexed citations
15.
Cvejic, Ana. (2014). From genome-wide association study hits to new insights into experimental hematology. Experimental Hematology. 42(8). 630–636. 1 indexed citations
16.
Brieu, Nicolas, Nassir Navab, Jovana Serbanovic‐Canic, et al.. (2012). Image-based characterization of thrombus formation in time-lapse DIC microscopy. Medical Image Analysis. 16(4). 915–931. 1 indexed citations
17.
Brieu, Nicolas, Martin Groher, Jovana Serbanovic‐Canic, et al.. (2011). Joint Thrombus and Vessel Segmentation Using Dynamic Texture Likelihoods and Shape Prior. Lecture notes in computer science. 14(Pt 3). 579–586. 2 indexed citations
18.
Albers, Cornelis A., Ana Cvejic, Rémi Favier, et al.. (2011). Exome sequencing identifies NBEAL2 as the causative gene for gray platelet syndrome. Nature Genetics. 43(8). 735–737. 160 indexed citations
19.
Tijssen, Marloes R., Ana Cvejic, Anagha Joshi, et al.. (2011). Genome-wide Analysis of Simultaneous GATA1/2, RUNX1, FLI1, and SCL Binding in Megakaryocytes Identifies Hematopoietic Regulators. Developmental Cell. 20(5). 597–609. 207 indexed citations
20.
Cvejic, Ana, Jovana Serbanovic‐Canic, Derek L. Stemple, & Willem H. Ouwehand. (2010). The role of meis1 in primitive and definitive hematopoiesis during zebrafish development. Haematologica. 96(2). 190–198. 33 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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