| MoleculeNet: a benchmark for molecular machine learning Z Wu, B Ramsundar, EN Feinberg, J Gomes, C Geniesse, AS Pappu, ... Chemical science 9 (2), 513-530, 2018 | 2369 | 2018 |
| Macromolecular modeling and design in Rosetta: recent methods and frameworks JK Leman, BD Weitzner, SM Lewis, J Adolf-Bryfogle, N Alam, RF Alford, ... Nature methods 17 (7), 665-680, 2020 | 564 | 2020 |
| RNA-Puzzles Round III: 3D RNA structure prediction of five riboswitches and one ribozyme Z Miao, RW Adamiak, M Antczak, RT Batey, AJ Becka, M Biesiada, ... Rna 23 (5), 655-672, 2017 | 182 | 2017 |
| RNA-Puzzles Round IV: 3D structure predictions of four ribozymes and two aptamers Z Miao, RW Adamiak, M Antczak, MJ Boniecki, J Bujnicki, SJ Chen, ... Rna 26 (8), 982-995, 2020 | 104 | 2020 |
| Blind prediction of noncanonical RNA structure at atomic accuracy AM Watkins, C Geniesse, W Kladwang, P Zakrevsky, L Jaeger, R Das Science Advances 4 (5), eaar5316, 2018 | 47 | 2018 |
| Generating dynamical neuroimaging spatiotemporal representations (DyNeuSR) using topological data analysis C Geniesse, O Sporns, G Petri, M Saggar Network neuroscience 3 (3), 763-778, 2019 | 46 | 2019 |
| Aneesh S 484 Pappu, Karl Leswing, and Vijay Pande. Moleculenet: a benchmark for molecular machine 485 learning Z Wu, B Ramsundar, EN Feinberg, J Gomes, C Geniesse Chemical science 9 (2), 513-530, 2018 | 37 | 2018 |
| Spontaneous and deliberate modes of creativity: Multitask eigen-connectivity analysis captures latent cognitive modes during creative thinking H Xie, RE Beaty, S Jahanikia, C Geniesse, NS Sonalkar, M Saggar NeuroImage 243, 118531, 2021 | 17 | 2021 |
| NeuMapper: A scalable computational framework for multiscale exploration of the brain’s dynamical organization C Geniesse, S Chowdhury, M Saggar Network Neuroscience 6 (2), 467-498, 2022 | 9 | 2022 |
| Synaptopodin stress fiber and contractomere at the epithelial junction T Morris, E Sue, C Geniesse, WM Brieher, VW Tang Journal of Cell Biology 221 (5), e202011162, 2022 | 5 | 2022 |
| Mining the role of design reflection and associated brain dynamics in creativity N Sonalkar, S Jahanikia, H Xie, C Geniesse, R Ayub, R Beaty, M Saggar Design Thinking Research: Investigating Design Team Performance, 155-167, 2020 | 2 | 2020 |
| Synaptopodin is required for stress fiber and contractomere assembly at the epithelial junction T Morris, E Sue, C Geniesse, WM Brieher, VW Tang bioRxiv, 2020.12. 30.424702, 2021 | 1 | 2021 |
| A Data-Driven Latent Variable Approach to Validating the Research Domain Criteria Framework SKL Quah, B Jo, C Geniesse, LQ Uddin, JA Mumford, DM Barch, DA Fair, ... bioRxiv, 2024 | | 2024 |
| A Data-Driven Latent Variable Approach to Validating the Research Domain Criteria (RDoC) Framework SKL Quah, B Jo, C Geniesse, LQ Uddin, JA Mumford, DM Barch, DA Fair, ... bioRxiv, 2024.01. 31.577486, 2024 | | 2024 |
| Deconstructing the Mapper algorithm to extract richer topological and temporal features from functional neuroimaging data D Hasegan, C Geniesse, S Chowdhury, M Saggar bioRxiv, 2023 | | 2023 |
| Systems and Methods for Scalable Mapping of Brain Dynamics M Saggar, S Chowdhury, C Geniesse US Patent App. 18/045,772, 2023 | | 2023 |
| Capturing Brain Dynamics with Topological Data Analysis C Geniesse Stanford University, 2023 | | 2023 |
| NeuMapper: A scalable computational framework for multiscale exploration of the brain’s dynamical organization C Geniesse, S Chowdhury, M Saggar Network Neuroscience, 2022 | | 2022 |
Vijay PandeAndreessen Horowitz, Stanford UniversityVerified email at stanford.edu
