Francesco Marass

5.7k total citations · 1 hit paper
20 papers, 2.1k citations indexed

About

Francesco Marass is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Francesco Marass has authored 20 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cancer Research, 11 papers in Molecular Biology and 7 papers in Oncology. Recurrent topics in Francesco Marass's work include Cancer Genomics and Diagnostics (17 papers), Genetic factors in colorectal cancer (4 papers) and Genomics and Phylogenetic Studies (4 papers). Francesco Marass is often cited by papers focused on Cancer Genomics and Diagnostics (17 papers), Genetic factors in colorectal cancer (4 papers) and Genomics and Phylogenetic Studies (4 papers). Francesco Marass collaborates with scholars based in United Kingdom, Switzerland and United States. Francesco Marass's co-authors include Nitzan Rosenfeld, James D. Brenton, Dana W.Y. Tsui, Tim Forshew, Davina Gale, Muhammed Murtaza, Carlos Caldas, Sarah‐Jane Dawson, Christine Parkinson and Tan Min Chin and has published in prestigious journals such as Nature, The Lancet and Nature Genetics.

In The Last Decade

Francesco Marass

18 papers receiving 2.1k 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.

Non-invasive analysis of acquired resistance to cancer therapy by sequencing of plasma DNA

2013 1.2k citations Muhammed Murtaza, Sarah‐Jane Dawson et al. Nature profile →

Peers

Francesco Marass

PRM

ONCOL

PFM

Bedia A. Barkoh United States

Christine Parkinson United Kingdom

Peter Ulz Austria

Laura J. Tafe United States

Julie W. Reeser United States

Jharna Miya United States

Anna Piskorz United Kingdom

Sasinya N. Scott United States

Heather Biggs United Kingdom

María Ángeles López‐García Spain

Bedia A. Barkoh United States

Francesco Marass

1.2k ×0.8

611 ×0.7

PRM

1.1k ×1.3

667 ×0.8

ONCOL

451 ×1.2

PFM

Citations per year, relative to Francesco Marass Francesco Marass (= 1×) peers Bedia A. Barkoh

Countries citing papers authored by Francesco Marass

Since Specialization

Citations

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

Fields of papers citing papers by Francesco Marass

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Marass

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Marass. A scholar is included among the top collaborators of Francesco Marass 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 Francesco Marass. Francesco Marass 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

Szczerba, Barbara M., Katharina Jahn, Francesc Castro-Giner, et al.. (2025). Phylogenetic inference reveals clonal heterogeneity in circulating tumor cell clusters. Nature Genetics. 57(6). 1357–1361. 2 indexed citations

Ruiz-Pérez, Carlos A., Francesco Marass, Daniel S. Grosu, et al.. (2024). Proof-of-concept evaluation of next-generation sequencing-based liquid biopsy for non-invasive cancer detection in cats. Frontiers in Veterinary Science. 11. 1394686–1394686.

Marass, Francesco, et al.. (2023). Predicting tumour content of liquid biopsies from cell-free DNA. BMC Bioinformatics. 24(1). 368–368.

Bonet, Jose, et al.. (2020). BnpC: Bayesian non-parametric clustering of single-cell mutation profiles. Bioinformatics. 36(19). 4854–4859. 12 indexed citations

Marass, Francesco, Julie L. Yang, Caitlin M. Stewart, et al.. (2020). Cell‐free DNA profiling in retinoblastoma patients with advanced intraocular disease: An MSKCC experience. Cancer Medicine. 9(17). 6093–6101. 35 indexed citations

Mittempergher, Lorenza, Anna Piskorz, Astrid J Bosma, et al.. (2020). Kinome capture sequencing of high-grade serous ovarian carcinoma reveals novel mutations in the JAK3 gene. PLoS ONE. 15(7). e0235766–e0235766. 2 indexed citations

Mair, Richard, Florent Moulière, Christopher G. Smith, et al.. (2018). Measurement of Plasma Cell-Free Mitochondrial Tumor DNA Improves Detection of Glioblastoma in Patient-Derived Orthotopic Xenograft Models. Cancer Research. 79(1). 220–230. 68 indexed citations

Tsui, Dana W.Y., Heather Biggs, Sarah‐Jane Dawson, et al.. (2018). Effects of Collection and Processing Procedures on Plasma Circulating Cell-Free DNA from Cancer Patients. Journal of Molecular Diagnostics. 20(6). 883–892. 84 indexed citations

Moulière, Florent, Richard Mair, Dineika Chandrananda, et al.. (2018). Detection of cell‐free DNA fragmentation and copy number alterations in cerebrospinal fluid from glioma patients. EMBO Molecular Medicine. 10(12). 117 indexed citations

10.

Tsui, Dana W.Y., Muhammed Murtaza, Alvin Wong, et al.. (2018). Dynamics of multiple resistance mechanisms in plasma DNA during EGFR‐targeted therapies in non‐small cell lung cancer. EMBO Molecular Medicine. 10(6). 52 indexed citations

11.

Patel, Keval, Kristan E. van der Vos, Christopher G. Smith, et al.. (2017). Association Of Plasma And Urinary Mutant DNA With Clinical Outcomes In Muscle Invasive Bladder Cancer. Scientific Reports. 7(1). 5554–5554. 84 indexed citations

12.

Möck, Andreas, Suzanne Murphy, James Morris, et al.. (2017). CVE: an R package for interactive variant prioritisation in precision oncology. BMC Medical Genomics. 10(1). 37–37. 8 indexed citations

13.

Wan, Jonathan C. M., Suzanne Murphy, Davina Gale, et al.. (2017). Individualised monitoring of patients with metastatic melanoma using plasma DNA. The Lancet. 389. S99–S99. 1 indexed citations

14.

Köbel, Martin, Anna Piskorz, Sandra Lee, et al.. (2016). Optimized p53 immunohistochemistry is an accurate predictor of TP53 mutation in ovarian carcinoma. The Journal of Pathology Clinical Research. 2(4). 247–258. 259 indexed citations

15.

Marass, Francesco, Florent Moulière, Ke Yuan, Nitzan Rosenfeld, & Florian Markowetz. (2016). A phylogenetic latent feature model for clonal deconvolution. Apollo (University of Cambridge). 30 indexed citations

16.

Murtaza, Muhammed, Sarah‐Jane Dawson, Dana W.Y. Tsui, et al.. (2013). Non-invasive analysis of acquired resistance to cancer therapy by sequencing of plasma DNA. Nature. 497(7447). 108–112. 1219 indexed citations breakdown →

17.

Gossage, Lucy, Muhammed Murtaza, Conrad Lichtenstein, et al.. (2013). Clinical and pathological impact of VHL, PBRM1, BAP1, SETD2, KDM6A, and JARID1c in clear cell renal cell carcinoma. Genes Chromosomes and Cancer. 53(1). 38–51. 106 indexed citations

18.

Jantzen, Stuart G, et al.. (2011). A 44K microarray dataset of the changing transcriptome in developing Atlantic salmon (Salmo salar L.). BMC Research Notes. 4(1). 88–88. 38 indexed citations

19.

Marass, Francesco, et al.. (2010). JaPaFi: A Novel Program for the Identification of Highly Conserved DNA Sequences. Viruses. 2(9). 1867–1885. 2 indexed citations

20.

Marass, Francesco & Chris Upton. (2009). Sequence Searcher: A Java tool to perform regular expression and fuzzy searches of multiple DNA and protein sequences. BMC Research Notes. 2(1). 14–14. 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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