| Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals JJ Lee, R Wedow, A Okbay, E Kong, O Maghzian, M Zacher, ... Nature genetics 50 (8), 1112, 2018 | 2414 | 2018 |
| Genome-wide association study identifies 74 loci associated with educational attainment A Okbay, JP Beauchamp, MA Fontana, JJ Lee, TH Pers, CA Rietveld, ... Nature 533 (7604), 539-542, 2016 | 1472 | 2016 |
| Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses A Okbay, BML Baselmans, JE De Neve, P Turley, MG Nivard, MA Fontana, ... Nature genetics 48 (6), 624-633, 2016 | 1149 | 2016 |
| Multi-trait analysis of genome-wide association summary statistics using MTAG P Turley, RK Walters, O Maghzian, A Okbay, JJ Lee, MA Fontana, ... Nature genetics 50 (2), 229, 2018 | 1034 | 2018 |
| Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences R Karlsson Linnér, P Biroli, E Kong, SFW Meddens, R Wedow, ... Nature genetics 51 (2), 245-257, 2019 | 700 | 2019 |
| Genome-wide analysis identifies 12 loci influencing human reproductive behavior N Barban, R Jansen, R De Vlaming, A Vaez, JJ Mandemakers, FC Tropf, ... Nature genetics 48 (12), 1462-1472, 2016 | 311 | 2016 |
| Can machine learning algorithms predict which patients will achieve minimally clinically important differences from total joint arthroplasty? MA Fontana, S Lyman, GK Sarker, DE Padgett, CH MacLean Clinical Orthopaedics and Related Research® 477 (6), 1267-1279, 2019 | 187 | 2019 |
| Genomic analysis of diet composition finds novel loci and associations with health and lifestyle SFW Meddens, R de Vlaming, P Bowers, CAP Burik, RK Linnér, C Lee, ... Molecular psychiatry 26 (6), 2056-2069, 2021 | 132 | 2021 |
| Genetic variants linked to education predict longevity RE Marioni, SJ Ritchie, PK Joshi, SP Hagenaars, A Okbay, K Fischer, ... Proceedings of the National Academy of Sciences 113 (47), 13366-13371, 2016 | 99 | 2016 |
| Defining the patient acceptable symptom state for the HOOS JR and KOOS JR after primary total joint arthroplasty KN Kunze, MA Fontana, CH MacLean, S Lyman, AS McLawhorn JBJS 104 (4), 345-352, 2022 | 65 | 2022 |
| Impact of COVID-19 on vulnerable patients with rheumatic disease: results of a worldwide survey B Mehta, D Jannat-Khah, MA Fontana, CJ Moezinia, CA Mancuso, ... Rmd Open 6 (3), e001378, 2020 | 40 | 2020 |
| PROMs: opportunities, challenges, and unfinished business CH MacLean, VC Antao, MA Fontana, HS Sandhu, AS McLawhorn NEJM Catalyst Innovations in Care Delivery 2 (11), 2021 | 24 | 2021 |
| Computational pathology for musculoskeletal conditions using machine learning: advances, trends, and challenges MA Konnaris, M Brendel, MA Fontana, M Otero, LB Ivashkiv, F Wang, ... Arthritis Research & Therapy 24 (1), 68, 2022 | 20 | 2022 |
| Causal language in observational orthopaedic research NH Varady, AG Feroe, MA Fontana, AF Chen JBJS 103 (19), e76, 2021 | 20 | 2021 |
| Training patterns associated with injury in New York City Marathon runners BG Toresdahl, JD Metzl, J Kinderknecht, K McElheny, P de Mille, ... British journal of sports medicine 57 (3), 146-152, 2023 | 18 | 2023 |
| An interpretable machine learning model for predicting 10-year total hip arthroplasty risk SJ Jang, MA Fontana, KN Kunze, CG Anderson, TP Sculco, DJ Mayman, ... The Journal of Arthroplasty 38 (7), S44-S50. e6, 2023 | 14 | 2023 |
| Reconsidering risk aversion DJ Benjamin, MA Fontana, MS Kimball National Bureau of Economic Research, 2020 | 14 | 2020 |
| Factors associated with injuries in first-time marathon runners from the New York City marathon B Toresdahl, K McElheny, J Metzl, J Kinderknecht, B Quijano, ... The Physician and Sportsmedicine 50 (3), 227-232, 2022 | 12 | 2022 |
| Editor’s Spotlight/Take 5: Can machine learning algorithms predict which patients will achieve minimally clinically important differences from total joint arthroplasty? SS Leopold Clinical Orthopaedics and Related Research® 477 (6), 1262-1266, 2019 | 10 | 2019 |
| Machine learning on medicare claims poorly predicts the individual risk of 30-day unplanned readmission after total joint arthroplasty, yet uncovers interesting population … KN Kunze, MM So, DE Padgett, S Lyman, CH MacLean, MA Fontana Clinical Orthopaedics and Related Research®, 10.1097, 2022 | 9 | 2022 |
