Ana-Maria Cujba

409 total citations
9 papers, 147 citations indexed

About

Ana-Maria Cujba is a scholar working on Surgery, Molecular Biology and Genetics. According to data from OpenAlex, Ana-Maria Cujba has authored 9 papers receiving a total of 147 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Ana-Maria Cujba's work include Pancreatic function and diabetes (4 papers), Diabetes and associated disorders (2 papers) and Single-cell and spatial transcriptomics (2 papers). Ana-Maria Cujba is often cited by papers focused on Pancreatic function and diabetes (4 papers), Diabetes and associated disorders (2 papers) and Single-cell and spatial transcriptomics (2 papers). Ana-Maria Cujba collaborates with scholars based in United Kingdom, Germany and United States. Ana-Maria Cujba's co-authors include Fiona M. Watt, Rocı́o Sancho, Amanda J. Oliver, Emma Dann, Geraldine M. Jowett, Kerstin B. Meyer, Lucy Marshall, John C. Marioni, Sarah A. Teichmann and Mario Enrique Alvarèz Fallas and has published in prestigious journals such as Nature Communications, Nature Genetics and Nature Methods.

In The Last Decade

Ana-Maria Cujba

9 papers receiving 146 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ana-Maria Cujba United Kingdom	6	72	35	31	31	21	9	147
Jan Cezary Sitek Norway	6	53 0.7×	41 1.2×	55 1.8×	52 1.7×	30 1.4×	12	189
Kanad Ghosh United States	5	47 0.7×	51 1.5×	35 1.1×	27 0.9×	8 0.4×	10	172
D. J. Kong China	7	68 0.9×	19 0.5×	28 0.9×	8 0.3×	9 0.4×	20	154
Shefali Rajpopat United Kingdom	5	53 0.7×	46 1.3×	74 2.4×	6 0.2×	34 1.6×	7	175
Petra Waidhofer‐Söllner Austria	10	61 0.8×	42 1.2×	23 0.7×	20 0.6×	13 0.6×	17	234
Woo Jin Yun South Korea	10	43 0.6×	167 4.8×	118 3.8×	22 0.7×	37 1.8×	13	304
Dominique Baumann Switzerland	7	139 1.9×	18 0.5×	61 2.0×	24 0.8×	19 0.9×	11	297
Ingeborg B. Hooijkaas Netherlands	9	227 3.2×	9 0.3×	46 1.5×	36 1.2×	45 2.1×	12	322
Haiqian Xu China	8	87 1.2×	16 0.5×	12 0.4×	49 1.6×	3 0.1×	15	208
Stéphanie C. de Barros United States	7	75 1.0×	28 0.8×	31 1.0×	4 0.1×	10 0.5×	8	199

Countries citing papers authored by Ana-Maria Cujba

Since Specialization

Citations

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

Fields of papers citing papers by Ana-Maria Cujba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ana-Maria Cujba

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

All Works

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9 of 9 papers shown

Suo, Chenqu, Ana-Maria Cujba, Daniele Muraro, et al.. (2024). Gene-level alignment of single-cell trajectories. Nature Methods. 22(1). 68–81. 3 indexed citations

Williams, James H., Peter Harley, Carolina Barcellos Machado, et al.. (2023). Modelling renal defects in Bardet-Biedl syndrome patients using human iPS cells. Frontiers in Cell and Developmental Biology. 11. 1163825–1163825. 1 indexed citations

Dann, Emma, Ana-Maria Cujba, Amanda J. Oliver, et al.. (2023). Precise identification of cell states altered in disease using healthy single-cell references. Nature Genetics. 55(11). 1998–2008. 27 indexed citations

Pedraza‐Arévalo, Sergio, Ana-Maria Cujba, Mario Enrique Alvarèz Fallas, & Rocı́o Sancho. (2022). Differentiation of beta-like cells from human induced pluripotent stem cell-derived pancreatic progenitor organoids. STAR Protocols. 3(3). 101656–101656. 2 indexed citations

Cujba, Ana-Maria, Mario Enrique Alvarèz Fallas, Sergio Pedraza‐Arévalo, et al.. (2022). An HNF1α truncation associated with maturity-onset diabetes of the young impairs pancreatic progenitor differentiation by antagonizing HNF1β function. Cell Reports. 38(9). 110425–110425. 19 indexed citations

Fallas, Mario Enrique Alvarèz, Sergio Pedraza‐Arévalo, Ana-Maria Cujba, et al.. (2021). Stem/progenitor cells in normal physiology and disease of the pancreas. Molecular and Cellular Endocrinology. 538. 111459–111459. 7 indexed citations

Oulès, Bénédicte, Christina Philippeos, Joe M. Segal, et al.. (2020). Contribution of GATA6 to homeostasis of the human upper pilosebaceous unit and acne pathogenesis. Nature Communications. 11(1). 5067–5067. 42 indexed citations

Cujba, Ana-Maria, et al.. (2018). Homeostasis, regeneration and tumour formation in the mammalian epidermis. The International Journal of Developmental Biology. 62(6-7-8). 571–582. 35 indexed citations

Cujba, Ana-Maria, et al.. (2017). Phenotypic plasticity in the pancreas: new triggers, new players. Current Opinion in Cell Biology. 49. 38–46. 11 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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