Maria Imaz

744 total citations
6 papers, 244 citations indexed

About

Maria Imaz is a scholar working on Molecular Biology, Computational Theory and Mathematics and Physiology. According to data from OpenAlex, Maria Imaz has authored 6 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 1 paper in Computational Theory and Mathematics and 1 paper in Physiology. Recurrent topics in Maria Imaz's work include Single-cell and spatial transcriptomics (3 papers), Bioinformatics and Genomic Networks (2 papers) and Gene Regulatory Network Analysis (2 papers). Maria Imaz is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Bioinformatics and Genomic Networks (2 papers) and Gene Regulatory Network Analysis (2 papers). Maria Imaz collaborates with scholars based in United Kingdom, Spain and Hong Kong. Maria Imaz's co-authors include Daniel J. Gaffney, Arthur M. Talman, Haynes Heaton, Mara Lawniczak, Richard Durbin, Martin Hemberg, Andrew Knights, Joseph S. Bowness, Rebecca V. Berrens and Guocheng Lan and has published in prestigious journals such as Nature Communications, Nature Biotechnology and Nature Methods.

In The Last Decade

Maria Imaz

6 papers receiving 244 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maria Imaz United Kingdom	3	172	61	53	38	20	6	244
Lindsey E. Montefiori United States	8	259 1.5×	60 1.0×	25 0.5×	21 0.6×	10 0.5×	12	329
Guohuan Sun China	10	161 0.9×	43 0.7×	45 0.8×	40 1.1×	12 0.6×	21	255
Andrés López‐Perrote Spain	11	238 1.4×	111 1.8×	23 0.4×	8 0.2×	17 0.8×	17	365
Preston R. Arnold United States	7	180 1.0×	55 0.9×	70 1.3×	13 0.3×	20 1.0×	9	255
Joana Petrescu United States	3	113 0.7×	42 0.7×	33 0.6×	10 0.3×	27 1.4×	3	176
Jonathon Klein United States	8	240 1.4×	103 1.7×	26 0.5×	27 0.7×	15 0.8×	12	328
Doran Khamis United Kingdom	5	209 1.2×	81 1.3×	44 0.8×	8 0.2×	54 2.7×	7	339
Linyan Jia China	10	197 1.1×	97 1.6×	66 1.2×	32 0.8×	16 0.8×	15	338
Dunarel Badescu Canada	7	189 1.1×	30 0.5×	81 1.5×	15 0.4×	65 3.3×	14	286
Nadine Obier United Kingdom	8	198 1.2×	73 1.2×	30 0.6×	11 0.3×	17 0.8×	15	281

Countries citing papers authored by Maria Imaz

Since Specialization

Citations

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

Fields of papers citing papers by Maria Imaz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Imaz

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

All Works

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6 of 6 papers shown

1.

Panousis, Nikolaos I., Andrew Knights, Natsuhiko Kumasaka, et al.. (2025). Splicing QTL mapping in stimulated macrophages associates low-usage splice junctions with immune-mediated disease risk. Nature Communications. 16(1). 7205–7205. 1 indexed citations

2.

Panousis, Nikolaos I., Andrew Knights, Natsuhiko Kumasaka, et al.. (2025). Gene expression QTL mapping in stimulated iPSC-derived macrophages provides insights into common complex diseases. Nature Communications. 16(1). 7204–7204. 1 indexed citations

3.

Kaistha, Anuradha, Abel Martin Garrido, Maria Imaz, et al.. (2025). Premature cell senescence promotes vascular smooth muscle cell phenotypic modulation and resistance to re-differentiation. Cardiovascular Research. 121(9). 1448–1463. 2 indexed citations

4.

Figg, Nichola, Maria Imaz, Kirsty Foote, et al.. (2024). Network-based prioritization and validation of regulators of vascular smooth muscle cell proliferation in disease. Nature Cardiovascular Research. 3(6). 714–733. 7 indexed citations

5.

Berrens, Rebecca V., Andrian Yang, Christopher Laumer, et al.. (2021). Locus-specific expression of transposable elements in single cells with CELLO-seq. Nature Biotechnology. 40(4). 546–554. 50 indexed citations

6.

Heaton, Haynes, Arthur M. Talman, Andrew Knights, et al.. (2020). Souporcell: robust clustering of single-cell RNA-seq data by genotype without reference genotypes. Nature Methods. 17(6). 615–620. 183 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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