Inmaculada Spiteri

8.3k total citations · 3 hit papers
30 papers, 4.1k citations indexed

About

Inmaculada Spiteri is a scholar working on Cancer Research, Molecular Biology and Genetics. According to data from OpenAlex, Inmaculada Spiteri has authored 30 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cancer Research, 18 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Inmaculada Spiteri's work include Cancer Genomics and Diagnostics (12 papers), Glioma Diagnosis and Treatment (6 papers) and MicroRNA in disease regulation (6 papers). Inmaculada Spiteri is often cited by papers focused on Cancer Genomics and Diagnostics (12 papers), Glioma Diagnosis and Treatment (6 papers) and MicroRNA in disease regulation (6 papers). Inmaculada Spiteri collaborates with scholars based in United Kingdom, United States and Spain. Inmaculada Spiteri's co-authors include Simon Tavaré, Andrea Sottoriva, Christina Curtis, Carlos Caldas, John C. Marioni, Sara Piccirillo, Colin Watts, Anestis Touloumis, V. Peter Collins and Eric A. Miska and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Inmaculada Spiteri

29 papers receiving 4.0k citations

Hit Papers

Intratumor heterogeneity in human glioblastoma reflects c... 2007 2026 2013 2019 2013 2007 2007 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Intratumor heterogeneity in human glioblastoma reflects cancer evolutionary dynamics
    2013 1.2k citations Andrea Sottoriva, Inmaculada Spiteri et al. Proceedings of the National Academy of Sciences profile →
  2. MicroRNA expression profiling of human breast cancer identifies new markers of tumor subtype
    2007 750 citations Cherie Blenkiron, Leonard D. Goldstein et al. Genome biology profile →
  3. Genetic Unmasking of an Epigenetically Silenced microRNA in Human Cancer Cells
    2007 729 citations Amaia Lujambio, Santiago Ropero et al. Cancer Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Inmaculada Spiteri United Kingdom 22 2.6k 2.2k 845 616 330 30 4.1k
Oliver Bögler United States 35 3.8k 1.4× 1.3k 0.6× 728 0.9× 1.0k 1.7× 361 1.1× 86 5.5k
Tim R. Fenton United Kingdom 27 2.7k 1.0× 1.3k 0.6× 774 0.9× 1.2k 1.9× 266 0.8× 51 4.8k
William Flavahan United States 19 3.1k 1.2× 1.4k 0.6× 859 1.0× 1.0k 1.7× 205 0.6× 24 4.5k
Kan Lu United States 22 1.9k 0.7× 1.1k 0.5× 774 0.9× 868 1.4× 148 0.4× 38 3.4k
Edward R. Kastenhuber United States 20 2.3k 0.9× 831 0.4× 527 0.6× 1.2k 2.0× 302 0.9× 23 3.6k
Michael D. Hogarty United States 42 3.9k 1.5× 2.3k 1.1× 541 0.6× 1.5k 2.4× 593 1.8× 110 6.9k
Monica Venere United States 26 3.9k 1.5× 1.2k 0.5× 419 0.5× 1.9k 3.1× 345 1.0× 60 4.8k
Steven M. Chan Canada 25 2.4k 0.9× 840 0.4× 376 0.4× 457 0.7× 147 0.4× 94 3.7k
Michael G. Kharas United States 36 4.2k 1.6× 1.6k 0.7× 869 1.0× 713 1.2× 193 0.6× 77 5.6k
Andrea Sottoriva United Kingdom 30 2.5k 0.9× 2.9k 1.3× 877 1.0× 1.6k 2.6× 814 2.5× 51 5.1k

Countries citing papers authored by Inmaculada Spiteri

Since Specialization
Citations

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

Fields of papers citing papers by Inmaculada Spiteri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inmaculada Spiteri

This figure shows the co-authorship network connecting the top 25 collaborators of Inmaculada Spiteri. A scholar is included among the top collaborators of Inmaculada Spiteri 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 Inmaculada Spiteri. Inmaculada Spiteri 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.
Oliveira, Érica A., Javier Fernández-Mateos, George D. Cresswell, et al.. (2025). Epigenetic Heritability of Cell Plasticity Drives Cancer Drug Resistance through a One-to-Many Genotype-to-Phenotype Paradigm. Cancer Research. 85(15). 2921–2938. 1 indexed citations
2.
Chen, Bingjie, Daniele Ramazzotti, Timon Heide, et al.. (2023). Contribution of pks+ E. coli mutations to colorectal carcinogenesis. Nature Communications. 14(1). 7827–7827. 36 indexed citations
3.
Werner, Benjamin, Marc Williams, Daniel Temko, et al.. (2020). Measuring single cell divisions in human tissues from multi-region sequencing data. Nature Communications. 11(1). 1035–1035. 33 indexed citations
4.
Cresswell, George D., Daniel Nichol, Inmaculada Spiteri, et al.. (2020). Mapping the breast cancer metastatic cascade onto ctDNA using genetic and epigenetic clonal tracking. Nature Communications. 11(1). 1446–1446. 25 indexed citations
5.
Acar, Ahmet, Daniel Nichol, Javier Fernández-Mateos, et al.. (2020). Exploiting evolutionary steering to induce collateral drug sensitivity in cancer. Nature Communications. 11(1). 1923–1923. 70 indexed citations
6.
Spiteri, Inmaculada, Giulio Caravagna, George D. Cresswell, et al.. (2018). Evolutionary dynamics of residual disease in human glioblastoma. Annals of Oncology. 30(3). 456–463. 45 indexed citations
7.
Ellis, Hayley, et al.. (2015). Current Challenges in Glioblastoma: Intratumour Heterogeneity, Residual Disease, and Models to Predict Disease Recurrence. Frontiers in Oncology. 5. 251–251. 81 indexed citations
8.
Massie, Charles, Inmaculada Spiteri, Helen Ross‐Adams, et al.. (2015). HES5 silencing is an early and recurrent change in prostate tumourigenesis. Endocrine Related Cancer. 22(2). 131–144. 10 indexed citations
9.
Piccirillo, Sara, Inmaculada Spiteri, Andrea Sottoriva, et al.. (2014). Contributions to Drug Resistance in Glioblastoma Derived from Malignant Cells in the Sub-Ependymal Zone. Cancer Research. 75(1). 194–202. 43 indexed citations
10.
Sottoriva, Andrea, Inmaculada Spiteri, Sara Piccirillo, et al.. (2013). Intratumor heterogeneity in human glioblastoma reflects cancer evolutionary dynamics. Proceedings of the National Academy of Sciences. 110(10). 4009–4014. 1231 indexed citations breakdown →
11.
Sottoriva, Andrea, Inmaculada Spiteri, Darryl Shibata, Christina Curtis, & Simon Tavaré. (2012). Single-Molecule Genomic Data Delineate Patient-Specific Tumor Profiles and Cancer Stem Cell Organization. Cancer Research. 73(1). 41–49. 50 indexed citations
12.
Abraham, Jean, Mel Maranian, Inmaculada Spiteri, et al.. (2012). Saliva samples are a viable alternative to blood samples as a source of DNA for high throughput genotyping. BMC Medical Genomics. 5(1). 19–19. 120 indexed citations
13.
Maia, Ana-Teresa, Inmaculada Spiteri, Alvin Lee, et al.. (2009). Extent of differential allelic expression of candidate breast cancer genes is similar in blood and breast. Breast Cancer Research. 11(6). R88–R88. 26 indexed citations
14.
Curtis, Christina, Andy G. Lynch, Mark Dunning, et al.. (2009). The pitfalls of platform comparison: DNA copy number array technologies assessed. BMC Genomics. 10(1). 588–588. 76 indexed citations
15.
Git, Anna, Inmaculada Spiteri, Cherie Blenkiron, et al.. (2008). PMC42, a breast progenitor cancer cell line, has normal-like mRNA and microRNA transcriptomes. Breast Cancer Research. 10(3). R54–R54. 22 indexed citations
16.
Lujambio, Amaia, Santiago Ropero, Esteban Ballestar, et al.. (2007). Genetic Unmasking of an Epigenetically Silenced microRNA in Human Cancer Cells. Cancer Research. 67(4). 1424–1429. 729 indexed citations breakdown →
17.
López–Campos, Guillermo, Mayte Coiras, María Rosa López‐Huertas, et al.. (2007). Oligonucleotide microarray design for detection and serotyping of human respiratory adenoviruses by using a virtual amplicon retrieval software. Journal of Virological Methods. 145(2). 127–136. 10 indexed citations
18.
Blenkiron, Cherie, Leonard D. Goldstein, Natalie Thorne, et al.. (2007). MicroRNA expression profiling of human breast cancer identifies new markers of tumor subtype. Genome biology. 8(10). R214–R214. 750 indexed citations breakdown →
19.
Tracey, Lorraine, Inmaculada Spiteri, Pablo L. Ortiz‐Romero, et al.. (2004). Transcriptional Response of T Cells to IFN-α: Changes Induced in IFN-α-Sensitive and Resistant Cutaneous T Cell Lymphoma. Journal of Interferon & Cytokine Research. 24(3). 185–195. 20 indexed citations
20.
Tracey, Lorraine, Raquel Villuendas, Pablo L. Ortiz‐Romero, et al.. (2002). Identification of Genes Involved in Resistance to Interferon-α in Cutaneous T-Cell Lymphoma. American Journal Of Pathology. 161(5). 1825–1837. 85 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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