Daniele Soria

1.9k total citations
49 papers, 1.4k citations indexed

About

Daniele Soria is a scholar working on Molecular Biology, Artificial Intelligence and Oncology. According to data from OpenAlex, Daniele Soria has authored 49 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 13 papers in Artificial Intelligence and 12 papers in Oncology. Recurrent topics in Daniele Soria's work include Gene expression and cancer classification (15 papers), Bioinformatics and Genomic Networks (9 papers) and Breast Cancer Treatment Studies (9 papers). Daniele Soria is often cited by papers focused on Gene expression and cancer classification (15 papers), Bioinformatics and Genomic Networks (9 papers) and Breast Cancer Treatment Studies (9 papers). Daniele Soria collaborates with scholars based in United Kingdom, Italy and United States. Daniele Soria's co-authors include Jonathan M. Garibaldi, Ian O. Ellis, Andrew R. Green, Emad A. Rakha, Graham Ball, Elia Biganzoli, Federico Ambrogi, Des G. Powe, Claire E. Paish and Magdy K. Abdelghany and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.

In The Last Decade

Daniele Soria

47 papers receiving 1.3k citations

Peers

Countries citing papers authored by Daniele Soria

Since Specialization

Citations

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

Fields of papers citing papers by Daniele Soria

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Soria

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Soria. A scholar is included among the top collaborators of Daniele Soria 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 Daniele Soria. Daniele Soria 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	A population-based study exploring phenotypic clusters and clinical outcomes in stroke using unsupervised machine learning approach 2023 ·SHILAP Revista de lepidopterología ·Ralph Kwame Akyea, George Ntaios, Evangelos Kontopantelis, (unknown), Daniele Soria, Folkert W. Asselbergs, Joe Kai, Stephen Weng, Nadeem Qureshi	5
2	Novel molecular classification of colorectal cancer and correlation with survival 2022 ·Saudi Journal of Biological Sciences ·(unknown), (unknown), Daniele Soria, Ali Muhammad Waryah, Ikram Din Ujjan, (unknown), Binafsha Manzoor Syed	1
3	A systematic review of the applications of Expert Systems (ES) and machine learning (ML) in clinical urology 2021 ·BMC Medical Informatics and Decision Making ·(unknown), Daniele Soria, Jonathan N. Lund, Amir Awwad	11
4	Combining clustering and classification ensembles: A novel pipeline to identify breast cancer profiles 2019 ·Artificial Intelligence in Medicine ·Utkarsh Agrawal, Daniele Soria, Christian Wagner, Jonathan M. Garibaldi, Ian O. Ellis, John M.S. Bartlett, David Cameron, Emad A. Rakha, Andrew R. Green	24
5	The combined expression of solute carriers is associated with a poor prognosis in highly proliferative ER+ breast cancer 2019 ·Breast Cancer Research and Treatment ·Rokaya El Ansari, Madeleine L. Craze, Lutfi Alfarsi, Daniele Soria, Maria Diez‐Rodriguez, Christopher C. Nolan, Ian O. Ellis, Emad A. Rakha, Andrew R. Green	26
6	Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom 2018 ·IEEE Transactions on Intelligent Transportation Systems ·Grazziela P. Figueredo, Utkarsh Agrawal, (unknown), Mohammad Mesgarpour, Christian Wagner, Daniele Soria, Jonathan M. Garibaldi, Peer‐Olaf Siebers, Robert John	23
7	MYC regulation of glutamine–proline regulatory axis is key in luminal B breast cancer 2017 ·British Journal of Cancer ·Madeleine L. Craze, (unknown), (unknown), (unknown), Daniele Soria, Rokaya El Ansari, Mohammed A. Aleskandarany, (unknown), Maria Diez‐Rodriguez, Christopher C. Nolan, Ian O. Ellis, Emad A. Rakha, Andrew R. Green	75
8	Nottingham prognostic index plus (NPI+) predicts risk of distant metastases in primary breast cancer 2016 ·Breast Cancer Research and Treatment ·Andrew R. Green, Daniele Soria, Des G. Powe, Chris Nolan, Mohammed A. Aleskandarany, Marcell A. Szász, Anna‐Mária Tõkés, Graham Ball, Jonathan M. Garibaldi, Emad A. Rakha, Janina Kulka, Ian O. Ellis	22
9	Illness Beliefs Predict Mortality in Patients with Diabetic Foot Ulcers 2016 ·PLoS ONE ·Kavita Vedhara, Karen Dawe, Jeremy N. V. Miles, Mark Wetherell, Nicky Cullum, Colin Dayan, (unknown), Patricia Price, John F. Tarlton, John Weinman, Andrew Day, Rona Campbell, Jenna Reps, Daniele Soria	23
10	KI67 and DLX2 predict increased risk of metastasis formation in prostate cancer–a targeted molecular approach 2016 ·British Journal of Cancer ·(unknown), Graham Ball, Geoffrey Hulman, Catherine Johnson, (unknown), (unknown), Daniele Soria, Jonathan M. Garibaldi, Richard Parkinson, (unknown), Robert C. Rees, Desmond G. Powe	39
11	Markers of progression in early-stage invasive breast cancer: a predictive immunohistochemical panel algorithm for distant recurrence risk stratification 2015 ·Breast Cancer Research and Treatment ·Mohammed A. Aleskandarany, Daniele Soria, Andrew R. Green, Chris Nolan, Maria Diez‐Rodriguez, Ian O. Ellis, Emad A. Rakha	21
12	Nottingham Prognostic Index Plus (NPI+): a modern clinical decision making tool in breast cancer 2014 ·British Journal of Cancer ·Emad A. Rakha, Daniele Soria, Andrew R. Green, Christophe Lemetre, D. G. Powe, Chris Nolan, Jonathan M. Garibaldi, Graham Ball, Ian O. Ellis	71
13	Practical detection of a definitive biomarker panel for Alzheimer's disease; comparisons between matched plasma and cerebrospinal fluid. 2014 ·PubMed ·Joanna L. Richens, (unknown), Roger Light, Daniele Soria, Jonathan M. Garibaldi, A. David Smith, Donald Warden, Gordon Wilcock, Nin Bajaj, Kevin Morgan, Paul O’Shea	22
14	Signalling Paediatric Side Effects using an Ensemble of Simple Study Designs 2014 ·Drug Safety ·Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack Gibson, Richard Hubbard	8
15	Characteristics of basal cytokeratin expression in breast cancer 2013 ·Breast Cancer Research and Treatment ·Alaa T. Alshareeda, Daniele Soria, Jonathan M. Garibaldi, Emad A. Rakha, Christopher C. Nolan, Ian O. Ellis, Andrew R. Green	33
16	Biology of primary breast cancer in older women treated by surgery: with correlation with long-term clinical outcome and comparison with their younger counterparts 2013 ·British Journal of Cancer ·Binafsha Manzoor Syed, Andrew R. Green, Emma C. Paish, Daniele Soria, Jonathan M. Garibaldi, (unknown), D.A.L. Morgan, Ian O. Ellis, Kwok‐Leung Cheung	60
17	Identification of key clinical phenotypes of breast cancer using a reduced panel of protein biomarkers 2013 ·British Journal of Cancer ·Andrew R. Green, Des G. Powe, Emad A. Rakha, Daniele Soria, Christophe Lemetre, Christopher C. Nolan, F. Barros, R. Douglas Macmillan, Jonathan M. Garibaldi, Graham Ball, Ian O. Ellis	30
18	p53 Status Identifies Two Subgroups of Triple-negative Breast Cancers with Distinct Biological Features 2011 ·Japanese Journal of Clinical Oncology ·Elia Biganzoli, Danila Coradini, Federico Ambrogi, Jonathan M. Garibaldi, P.J.G. Lisboa, Daniele Soria, Andrew R. Green, Massimo Pedriali, Mauro Piantelli, Patrizia Querzoli, Romano Demicheli, Patrizia Boracchi	48
19	A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients 2010 ·Computers in Biology and Medicine ·Daniele Soria, Jonathan M. Garibaldi, Federico Ambrogi, Andrew R. Green, Des G. Powe, Emad A. Rakha, R. Douglas Macmillan, Roger W. Blamey, Graham Ball, Paulo Lisböa, Terence A. Etchells, Patrizia Boracchi, Elia Biganzoli, Ian O. Ellis	45
20	Global Histone Modifications in Breast Cancer Correlate with Tumor Phenotypes, Prognostic Factors, and Patient Outcome 2009 ·Cancer Research ·Somaia Elsheikh, Andrew R. Green, Emad A. Rakha, Des G. Powe, Rabab A. Ahmed, Hilary M. Collins, Daniele Soria, Jonathan M. Garibaldi, Claire E. Paish, Amr Ammar, Matthew J. Grainge, Graham Ball, Magdy K. Abdelghany, Luisa Martı́nez-Pomares, David M. Heery, Ian O. Ellis	366

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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