Stephen‐John Sammut

7.9k total citations · 1 hit paper
34 papers, 2.4k citations indexed

About

Stephen‐John Sammut is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Stephen‐John Sammut has authored 34 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cancer Research, 15 papers in Molecular Biology and 13 papers in Oncology. Recurrent topics in Stephen‐John Sammut's work include Cancer Genomics and Diagnostics (15 papers), Cancer Cells and Metastasis (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Stephen‐John Sammut is often cited by papers focused on Cancer Genomics and Diagnostics (15 papers), Cancer Cells and Metastasis (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Stephen‐John Sammut collaborates with scholars based in United Kingdom, United States and Spain. Stephen‐John Sammut's co-authors include ROBERT FINN, Alex Bateman, Jaina Mistry, Sean R. Eddy, Sofia K. Forslund, John Tate, Penny Coggill, H. Hotz, Erik L. L. Sonnhammer and Carlos Caldas and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Stephen‐John Sammut

32 papers receiving 2.3k 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.

The Pfam protein families database

2007 1.6k citations ROBERT FINN, John Tate et al. Nucleic Acids Research profile →

Peers

Countries citing papers authored by Stephen‐John Sammut

Since Specialization

Citations

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

Fields of papers citing papers by Stephen‐John Sammut

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen‐John Sammut. 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 Stephen‐John Sammut. The network helps show where Stephen‐John Sammut may publish in the future.

Co-authorship network of co-authors of Stephen‐John Sammut

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen‐John Sammut. A scholar is included among the top collaborators of Stephen‐John Sammut 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 Stephen‐John Sammut. Stephen‐John Sammut 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

#	Work	Indexed citations
1	Fitness and transcriptional plasticity of human breast cancer single-cell-derived clones 2025 ·Cell Reports ·Long Nguyen, (unknown), (unknown), (unknown), Suet‐Feung Chin, (unknown), Stephen‐John Sammut, Giulia Lerda, (unknown), Helen Bardwell, Wendy Greenwood, Hyun Jin Shin, (unknown), Katarzyna Kania, Alejandra Bruna, (unknown), (unknown), Samuel Aparício, Oscar M. Rueda, Carlos Caldas	0
2	Quantifying the tumour vasculature environment from CD-31 immunohistochemistry images of breast cancer using deep learning based semantic segmentation 2025 ·Breast Cancer Research ·Tristan Whitmarsh, Wei Cope, (unknown), Roido Manavaki, Stephen‐John Sammut, Ramona Woitek, Elena Provenzano, (unknown), Sarah E. Bohndiek, Ferdia A. Gallagher, Carlos Caldas, Fiona J. Gilbert, Florian Markowetz	0
3	miRBench: novel benchmark datasets for microRNA binding site prediction that mitigate against prevalent microRNA frequency class bias 2025 ·Bioinformatics ·Stephen‐John Sammut, (unknown), (unknown), (unknown), (unknown), Panagiotis Alexiou	1
4	Predictability of B cell clonal persistence and immunosurveillance in breast cancer 2024 ·Nature Immunology ·Stephen‐John Sammut, Jacob D. Galson, Ralph Minter, Bo Sun, Suet‐Feung Chin, Leticia De Mattos‐Arruda, Donna K. Finch, Sebastian Schätzle, J.C. Dias, Oscar M. Rueda, Joan Seoane, Jane Osbourn, Carlos Caldas, Rachael Bashford-Rogers	10
5	AACR Project GENIE: 100,000 Cases and Beyond 2022 ·Cancer Discovery ·Trevor J. Pugh, (unknown), Jeffrey P. Bruce, Gary J. Doherty, Matthew Galvin, Michelle Green, Haley Hunter-Zinck, Priti Kumari, Michele L. Lenoue-Newton, Marilyn M. Li, James Lindsay, Tali Mazor, (unknown), Stephen‐John Sammut, Nikolaus Schultz, Thomas Yu, Shawn M. Sweeney, Brady Bernard	49
6	The temporal mutational and immune tumour microenvironment remodelling of HER2-negative primary breast cancers 2021 ·npj Breast Cancer ·Leticia De Mattos‐Arruda, Javier Cortés, (unknown), Daniel Guimarães Tiezzi, Guillermo Villacampa, Samuel Gonçalves-Ribeiro, Laia Paré, Carla Anjos Souza, (unknown), Stephen‐John Sammut, (unknown), Roberta Fasani, Suet‐Feung Chin, José Manuel Pérez-García, Rodrigo Dienstmann, Paolo Nucíforo, Patricia Villagrasa, Isabel T. Rubio, Aleix Prat, Carlos Caldas	7
7	The molecular landscape of Asian breast cancers reveals clinically relevant population-specific differences 2020 ·Nature Communications ·(unknown), (unknown), (unknown), (unknown), Siti Norhidayu Hasan, (unknown), Stephen‐John Sammut, Cheng Har Yip, Pathmanathan Rajadurai, Oscar M. Rueda, Carlos Caldas, Suet‐Feung Chin, Soo‐Hwang Teo	52
8	Personalized circulating tumor DNA analysis to detect residual disease after neoadjuvant therapy in breast cancer 2019 ·Science Translational Medicine ·Bradon R. McDonald, Tania Contente‐Cuomo, Stephen‐John Sammut, Ahuva Odenheimer-Bergman, Brenda Ernst, Nieves Perdigones, Suet‐Feung Chin, Maria Farooq, Rosa Mejia, Patricia A. Cronin, Karen S. Anderson, Heidi Kosiorek, Donald W. Northfelt, Ann E. McCullough, Bhavika Patel, Jeffrey N. Weitzel, Thomas P. Slavin, Carlos Caldas, Barbara A. Pockaj, Muhammed Murtaza	201
9	Quantitative and qualitative assessment of a coding system for reporting CT colonography 2019 ·Clinical Radiology ·Stephen‐John Sammut, (unknown), Norman D. Cook, (unknown), (unknown), (unknown)	3
10	Next Generation-Targeted Amplicon Sequencing (NG-TAS): an optimised protocol and computational pipeline for cost-effective profiling of circulating tumour DNA 2019 ·Genome Medicine ·Meiling Gao, Maurizio Callari, Emma Beddowes, Stephen‐John Sammut, Marta Grzelak, Heather Biggs, Linda Jones, Abdelhamid Boumertit, Sabine C. Linn, Javier Cortés, Mafalda Oliveira, Richard D. Baird, Suet‐Feung Chin, Carlos Caldas	34
11	Computational approach to discriminate human and mouse sequences in patient-derived tumour xenografts 2018 ·BMC Genomics ·Maurizio Callari, Ankita Sati Batra, R.N. Batra, Stephen‐John Sammut, Wendy Greenwood, Harry Clifford, (unknown), Suet‐Feung Chin, Alejandra Bruna, Oscar M. Rueda, Carlos Caldas	32
12	Intersect-then-combine approach: improving the performance of somatic variant calling in whole exome sequencing data using multiple aligners and callers 2017 ·Genome Medicine ·Maurizio Callari, Stephen‐John Sammut, Leticia De Mattos‐Arruda, Alejandra Bruna, Oscar M. Rueda, Suet‐Feung Chin, Carlos Caldas	30
13	Predicting treatment resistance and relapse through circulating DNA 2017 ·The Breast ·(unknown), Stephen‐John Sammut, (unknown), Carlos Caldas	1
14	Prognostic Value of MammaPrint® in Invasive Lobular Breast Cancer. 2016 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), Anke Witteveen, Christa Dreezen, Suet‐Feung Chin, Stephen‐John Sammut, Mireille H.J. Snel, Carlos Caldas, Sabine C. Linn, Laura van ‘t Veer, René Bernards, Annuska M. Glas	2
15	Prognostic Value of MammaPrint^® in Invasive Lobular Breast Cancer 2016 ·Biomarker Insights ·(unknown), (unknown), Anke Witteveen, Christa Dreezen, Suet‐Feung Chin, Stephen‐John Sammut, Mireille H.J. Snel, Carlos Caldas, Sabine C. Linn, Laura van ‘t Veer, René Bernards, Annuska M. Glas	28
16	ApiNATOMY: A novel toolkit for visualizing multiscale anatomy schematics with phenotype-related information 2012 ·Human Mutation ·Bernard de Bono, Pierre Grenon, Stephen‐John Sammut	20
17	Management of febrile neutropenia in an acute oncology service 2011 ·QJM ·Stephen‐John Sammut, Danish Mazhar	13
18	Pfam 10 years on: 10 000 families and still growing 2008 ·Briefings in Bioinformatics ·Stephen‐John Sammut, ROBERT FINN, Alex Bateman	93
19	Increased expression of the urokinase plasminogen activator system by Helicobacter pylori in gastric epithelial cells 2008 ·American Journal of Physiology-Gastrointestinal and Liver Physiology ·(unknown), Cédric Duval, Stephen‐John Sammut, Islay Steele, D. Mark Pritchard, John C. Atherton, Richard H. Argent, R. Dimaline, Graham J. Dockray, Andrea Varró	28
20	The Pfam protein families database breakdown → 2007 ·Nucleic Acids Research ·ROBERT FINN, John Tate, Jaina Mistry, Penny Coggill, Stephen‐John Sammut, H. Hotz, (unknown), Sofia K. Forslund, Sean R. Eddy, Erik L. L. Sonnhammer, Alex Bateman	1580

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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