| Wikidata as a knowledge graph for the life sciences A Waagmeester, G Stupp, S Burgstaller-Muehlbacher, BM Good, M Griffith, ... Elife 9, e52614, 2020 | 134 | 2020 |
| Quantitative metaproteomics and activity-based probe enrichment reveals significant alterations in protein expression from a mouse model of inflammatory bowel disease MD Mayers, C Moon, GS Stupp, AI Su, DW Wolan Journal of proteome research 16 (2), 1014-1026, 2017 | 72 | 2017 |
| Design and application of a knowledge network for automatic prioritization of drug mechanisms M Mayers, R Tu, D Steinecke, TS Li, N Queralt-Rosinach, AI Su Bioinformatics 38 (10), 2880-2891, 2022 | 18 | 2022 |
| Structured reviews for data and knowledge-driven research N Queralt-Rosinach, GS Stupp, TS Li, M Mayers, ME Hoatlin, M Might, ... Database 2020, baaa015, 2020 | 11 | 2020 |
| Time-resolved evaluation of compound repositioning predictions on a text-mined knowledge network M Mayers, TS Li, N Queralt-Rosinach, AI Su BMC bioinformatics 20, 1-12, 2019 | 10 | 2019 |
| Drugmechdb: A curated database of drug mechanisms AC Gonzalez-Cavazos, A Tanska, M Mayers, D Carvalho-Silva, ... Scientific Data 10 (1), 632, 2023 | 7 | 2023 |
| Applying citizen science to gene, drug and disease relationship extraction from biomedical abstracts G Tsueng, M Nanis, JT Fouquier, M Mayers, BM Good, AI Su Bioinformatics 36 (4), 1226-1233, 2020 | 7 | 2020 |
| Wikidata as a knowledge graph for the life sciences W Andra, G Stupp, BM Sebastian, BM Good, G Malachi, OL Griffith, ... eLife, 2020 | 4 | 2020 |
| Wikidata as a FAIR knowledge graph for the life sciences A Waagmeester, G Stupp, S Burgstaller-Muehlbacher, BM Good, M Griffith, ... bioRxiv, 799684, 2019 | 3 | 2019 |
| Leveraging Knowledge Networks to Prioritize Testable Hypotheses for Drug Repositioning MD Mayers The Scripps Research Institute, 2020 | | 2020 |
| Time-resolved compound repositioning predictions on a texted-mined knowledge network M Mayers, T Shu Li, N Queralt-Rosinach, AI Su bioRxiv, 625459, 2019 | | 2019 |
