| The sequence and analysis of duplication-rich human chromosome 16 J Martin, et al Nature 432, 988-94, 2004 | 157 | 2004 |
| Automated ligand fitting by core-fragment fitting and extension into density TC Terwilliger, H Klei, PD Adams, NW Moriarty, JD Cohn Acta Crytallogr D Biol Crytallogr 62 (8), 915-922, 2006 | 90 | 2006 |
| A categorization approach to automated ontological function annotation K Verspoor, J Cohn, S Mniszewski, C Joslyn Protein Science 15, 1544-1549, 2006 | 85 | 2006 |
| Ligand identification using electron-density map correlations TC Terwilliger, PD Adams, NW Moriarty, JD Cohn Acta Crystallogr D Biol Crystallogr 63 (1), 101-107, 2007 | 57 | 2007 |
| Reconnection scaling experiment: A new device for three-dimensional magnetic reconnection studies I Furno, T Intrator, E Torbert, C Carey, MD Cash, JK Campbell, WJ Fienup, ... Review of scientific instruments 74 (4), 2324-2331, 2003 | 57 | 2003 |
| Literature mining of protein-residue associations with graph rules learned through distant supervision KE Ravikumar, H Liu, JD Cohn, ME Wall, K Verspoor Journal of Biomedical Semantics 3 (Suppl 3), S2, 2012 | 42 | 2012 |
| Protein annotation as term categorization in the Gene Ontology using word proximity networks K Verspoor, J Cohn, C Joslyn, S Mniszewski, A Rechsteiner, LM Rocha, ... BMC Bioinformatics 6 (Suppl 1), 2005 | 40 | 2005 |
| Rapid phylogenetic and functional classification of short genomic fragments with signature peptides J Berendzen, WJ Bruno, JD Cohn, NW Hengartner, CR Kuske, ... BMC Research Notes 5, 460, 2012 | 36 | 2012 |
| Fast dynamics perturbation analysis for prediction of protein functional sites D Ming, JD Cohn, ME Wall BMC Structural Biology 8, 5, 2008 | 36 | 2008 |
| Predicting tumor cell line response to drug pairs with deep learning F Xia, M Shukla, T Brettin, C Garcia-Cardona, J Cohn, JE Allen, S Maslov, ... BMC bioinformatics 19 (18), 71-79, 2018 | 35 | 2018 |
| Text mining improves prediction of protein functional sites V Karin M., JD Cohn, R Komandur E., W Michael E. PLoS One 7 (2), e32171, 2012 | 30* | 2012 |
| Genome majority vote improves gene predictions ME Wall, S Raghavan, JD Cohn, J Dunbar PLos Computational Biology 7 (11), e1002284, 2011 | 19 | 2011 |
| Consistency of gene starts among Burkholderia genomes J Dunbar, JD Cohn, ME Wall BMC Genomics 12, 125, 2011 | 14 | 2011 |
| A critical assessment of text mining methods in molecular biology L Hirschman, A Yeh, C Blaschke, A Valencia, A Morgan, M Colosimo, ... BMC Bioinform, 2005b 6 (1), S10, 2005 | 9 | 2005 |
| Sparse coding of pathology slides compared to transfer learning with deep neural networks W Fischer, SS Moudgalya, JD Cohn, NTT Nguyen, GT Kenyon BMC bioinformatics 19 (18), 9-17, 2018 | 8 | 2018 |
| Detection of protein catalytic sites in the biomedical literature V Karin, M Andrew., C Judith D., W Michael E. Pacific Symposium on Biocomputing 2013, 433-444, 2013 | 7* | 2013 |
| Pattern learning through distant supervision for extraction of protein-residue associations in the biomedical literature KE Ravikumar, H Liu, JD Cohn, ME Wall, V K. International Conference on Machine Learning and Applications, 2011 | 7 | 2011 |
| Protein annotation as term categorization in the gene ontology K Verspoor, J Cohn, C Joslyn, S Mniszewski, A Rechtsteiner, LM Rocha, ... Proc. of BioCreative Workshop, 2004 | 7 | 2004 |
| XML and genomic data JD Cohn ACM SIGBIO Newsletter 20 (3), 22-24, 2000 | 5 | 2000 |
| Integration of structure analysis and text mining for improved protein functional site prediction KM Verspoor, JD Cohn, KE Ravikumar, M Wall Automated Function Prediction 2011 SIG at the Intelligent Systems for …, 2011 | 4 | 2011 |
