Andrea Sottoriva

13.3k total citations · 4 hit papers
51 papers, 5.1k citations indexed

About

Andrea Sottoriva is a scholar working on Cancer Research, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Andrea Sottoriva has authored 51 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cancer Research, 23 papers in Molecular Biology and 16 papers in Pathology and Forensic Medicine. Recurrent topics in Andrea Sottoriva's work include Cancer Genomics and Diagnostics (39 papers), Genetic factors in colorectal cancer (16 papers) and Evolution and Genetic Dynamics (14 papers). Andrea Sottoriva is often cited by papers focused on Cancer Genomics and Diagnostics (39 papers), Genetic factors in colorectal cancer (16 papers) and Evolution and Genetic Dynamics (14 papers). Andrea Sottoriva collaborates with scholars based in United Kingdom, United States and Italy. Andrea Sottoriva's co-authors include Trevor A. Graham, Christina Curtis, Simon Tavaré, Inmaculada Spiteri, Benjamin Werner, Sara Piccirillo, Colin Watts, John C. Marioni, Anestis Touloumis and V. Peter Collins and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Andrea Sottoriva

50 papers receiving 5.0k citations

Hit Papers

align trajectories

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.

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 →
A Big Bang model of human colorectal tumor growth

2015 666 citations Andrea Sottoriva, Trevor A. Graham et al. Nature Genetics profile →
Resolving genetic heterogeneity in cancer

2019 407 citations Andrea Sottoriva, Trevor A. Graham et al. profile →
Identification of neutral tumor evolution across cancer types

2016 369 citations Marc Williams, Benjamin Werner et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrea Sottoriva United Kingdom	30	2.9k	2.5k	1.6k	877	814	51	5.1k
Christina Curtis United States	37	2.9k 1.0×	3.3k 1.3×	2.4k 1.5×	802 0.9×	680 0.8×	77	6.7k
Andriy Marusyk United States	30	2.4k 0.8×	3.0k 1.2×	2.4k 1.5×	278 0.3×	564 0.7×	56	6.2k
Ivana Božić United States	21	3.1k 1.1×	2.2k 0.9×	2.9k 1.8×	134 0.2×	602 0.7×	36	5.5k
Peter Van Loo United Kingdom	35	2.9k 1.0×	4.1k 1.7×	1.8k 1.1×	258 0.3×	1.4k 1.7×	83	7.0k
Inmaculada Spiteri United Kingdom	22	2.2k 0.8×	2.6k 1.1×	616 0.4×	845 1.0×	330 0.4×	30	4.1k
Nicholas McGranahan United Kingdom	34	4.5k 1.6×	4.5k 1.8×	4.0k 2.5×	335 0.4×	845 1.0×	67	9.4k
Nicholas E. Navin United States	36	5.5k 1.9×	6.6k 2.7×	2.8k 1.8×	303 0.3×	2.6k 3.2×	74	10.5k
V. Peter Collins Sweden	40	2.1k 0.7×	3.9k 1.6×	2.4k 1.5×	3.2k 3.6×	544 0.7×	77	7.7k
Jochen B. Geigl Austria	31	3.0k 1.0×	2.2k 0.9×	2.2k 1.4×	321 0.4×	435 0.5×	52	5.1k
Mark Shackleton Australia	28	1.9k 0.6×	4.4k 1.8×	5.4k 3.4×	452 0.5×	795 1.0×	90	8.0k

Countries citing papers authored by Andrea Sottoriva

Since Specialization

Citations

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

Fields of papers citing papers by Andrea Sottoriva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Sottoriva

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

All Works

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20 of 20 papers shown

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

Ciriello, Giovanni, Luca Magnani, Sarah J. Aitken, et al.. (2023). Cancer Evolution: A Multifaceted Affair. Cancer Discovery. 14(1). 36–48. 42 indexed citations

Zapata, Luís, Giulio Caravagna, Marc Williams, et al.. (2023). Immune selection determines tumor antigenicity and influences response to checkpoint inhibitors. Nature Genetics. 55(3). 451–460. 34 indexed citations

Gatenbee, Chandler, Ann‐Marie Baker, Ryan O. Schenck, et al.. (2022). Immunosuppressive niche engineering at the onset of human colorectal cancer. Nature Communications. 13(1). 1798–1798. 29 indexed citations

Kessler, Ketty, Nicholas Trahearn, Benjamin Werner, et al.. (2022). Quantification of spatial subclonal interactions enhancing the invasive phenotype of pediatric glioma. Cell Reports. 40(9). 111283–111283. 12 indexed citations

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

Lakatos, Eszter, Marc Williams, Ryan O. Schenck, et al.. (2020). Evolutionary dynamics of neoantigens in growing tumors. Nature Genetics. 52(10). 1057–1066. 60 indexed citations

Caravagna, Giulio, Timon Heide, Marc Williams, et al.. (2020). Subclonal reconstruction of tumors by using machine learning and population genetics. Nature Genetics. 52(9). 898–907. 57 indexed citations

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

10.

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

11.

Heide, Timon, Benjamin Werner, Marc Williams, et al.. (2019). Spatially constrained tumour growth affects the patterns of clonal selection and neutral drift in cancer genomic data. PLoS Computational Biology. 15(7). e1007243–e1007243. 43 indexed citations

12.

Williams, Marc, Benjamin Werner, Timon Heide, et al.. (2018). Quantification of subclonal selection in cancer from bulk sequencing data. Nature Genetics. 50(6). 895–903. 134 indexed citations

13.

Werner, Benjamin, Arne Traulsen, Andrea Sottoriva, & David Dingli. (2017). Detecting truly clonal alterations from multi-region profiling of tumours. Scientific Reports. 7(1). 44991–44991. 14 indexed citations

14.

Werner, Benjamin, Jacob G. Scott, Andrea Sottoriva, et al.. (2016). The Cancer Stem Cell Fraction in Hierarchically Organized Tumors Can Be Estimated Using Mathematical Modeling and Patient-Specific Treatment Trajectories. Cancer Research. 76(7). 1705–1713. 42 indexed citations

15.

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

16.

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 →

17.

Vermeulen, Louis, Edward Morrissey, Maartje van der Heijden, et al.. (2013). Defining Stem Cell Dynamics in Models of Intestinal Tumor Initiation. Science. 342(6161). 995–998. 295 indexed citations

18.

Piccirillo, Sara, Andrea Sottoriva, Anestis Touloumis, et al.. (2013). Abstract 5016: The human sub-ependymal zone harbors glioblastoma precursors and represents a distinct therapeutic target.. Cancer Research. 73(8_Supplement). 5016–5016. 14 indexed citations

19.

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

20.

Sottoriva, Andrea, Joost J.C. Verhoeff, Tijana Borovski, et al.. (2010). Cancer Stem Cell Tumor Model Reveals Invasive Morphology and Increased Phenotypical Heterogeneity. Cancer Research. 70(1). 46–56. 151 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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