| A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology MJ Herrgård, N Swainston, P Dobson, WB Dunn, KY Arga, M Arvas, ... Nature biotechnology 26 (10), 1155-1160, 2008 | 692 | 2008 |
| Metabolic footprinting and systems biology: the medium is the message DB Kell, M Brown, HM Davey, WB Dunn, I Spasic, SG Oliver Nature reviews microbiology 3 (7), 557-565, 2005 | 597 | 2005 |
| Text mining and ontologies in biomedicine: making sense of raw text I Spasic, S Ananiadou, J McNaught, A Kumar Briefings in bioinformatics 6 (3), 239-251, 2005 | 438 | 2005 |
| Mass spectrometry tools and metabolite-specific databases for molecular identification in metabolomics M Brown, WB Dunn, P Dobson, Y Patel, CL Winder, S Francis-McIntyre, ... Analyst 134 (7), 1322-1332, 2009 | 319 | 2009 |
| Clinical text data in machine learning: Systematic review I Spasić, G Nenadić JMIR Medical Informatics 8 (3), e17984, 2020 | 281 | 2020 |
| Text mining of cancer-related information: review of current status and future directions I Spasić, J Livsey, JA Keane, G Nenadić International journal of medical informatics 83 (9), 605-623, 2014 | 248 | 2014 |
| A metabolome pipeline: from concept to data to knowledge M Brown, WB Dunn, DI Ellis, R Goodacre, J Handl, JD Knowles, ... Metabolomics 1, 39-51, 2005 | 210 | 2005 |
| Serum metabolomics reveals many novel metabolic markers of heart failure, including pseudouridine and 2-oxoglutarate WB Dunn, DI Broadhurst, SM Deepak, MH Buch, G McDowell, I Spasic, ... Metabolomics 3, 413-426, 2007 | 198 | 2007 |
| Sentiment analysis in health and wellbeing: Systematic review A Zunic, P Corcoran, I Spasic JMIR Medical Informatics 8 (1), e16023, 2020 | 187 | 2020 |
| A GC-TOF-MS study of the stability of serum and urine metabolomes during the UK Biobank sample collection and preparation protocols WB Dunn, D Broadhurst, DI Ellis, M Brown, A Halsall, S O’Hagan, I Spasic, ... International journal of epidemiology 37 (suppl_1), i23-i30, 2008 | 176 | 2008 |
| A model of yeast glycolysis based on a consistent kinetic characterisation of all its enzymes K Smallbone, HL Messiha, KM Carroll, CL Winder, N Malys, WB Dunn, ... FEBS letters 587 (17), 2832-2841, 2013 | 162 | 2013 |
| Machine learning on mobile: An on-device inference app for skin cancer detection X Dai, I Spasić, B Meyer, S Chapman, F Andres 4th IEEE International Conference on Fog and Mobile Edge Computing, Rome, Italy, 2019 | 131 | 2019 |
| A text mining approach to the prediction of disease status from clinical discharge summaries H Yang, I Spasic, JA Keane, G Nenadic Journal of the American Medical Informatics Association 16 (4), 596-600, 2009 | 123 | 2009 |
| The role of idioms in sentiment analysis L Williams, C Bannister, M Arribas-Ayllon, A Preece, I Spasić Expert Systems with Applications 42 (21), 7375-7385, 2015 | 117 | 2015 |
| Medication information extraction with linguistic pattern matching and semantic rules I Spasić, F Sarafraz, JA Keane, G Nenadić Journal of the American Medical Informatics Association 17 (5), 532-535, 2010 | 90 | 2010 |
| SBRML: a markup language for associating systems biology data with models JO Dada, I Spasić, NW Paton, P Mendes Bioinformatics 26 (7), 932-938, 2010 | 78 | 2010 |
| Terminology-driven mining of biomedical literature G Nenadić, I Spasić, S Ananiadou Proceedings of the 2003 ACM symposium on Applied computing, 83-87, 2003 | 75 | 2003 |
| Automatic discovery of term similarities using pattern mining G Nenadić, I Spasić, S Ananiadou COLING-02 on COMPUTERM 2002: second international workshop on computational …, 2002 | 69 | 2002 |
| Acceptability of a digital health intervention alongside physiotherapy to support patients following anterior cruciate ligament reconstruction E Dunphy, F Hamilton, I Spasić, K Button BMC Musculoskeletal Disorders 18, 471, 2017 | 64 | 2017 |
| FlexiTerm: a flexible term recognition method I Spasić, M Greenwood, A Preece, N Francis, G Elwyn Journal of biomedical semantics 4, 1-15, 2013 | 59 | 2013 |
