| Basement membrane stiffness determines metastases formation R Reuten, S Zendehroud, M Nicolau, L Fleischhauer, A Laitala, ... Nature materials 20 (6), 892-903, 2021 | 142 | 2021 |
| A novel antifragility measure based on satisfaction and its application to random and biological Boolean networks OK Pineda, H Kim, C Gershenson Complexity 2019 (1), 3728621, 2019 | 36* | 2019 |
| CellNeighborEX: deciphering neighbor‐dependent gene expression from spatial transcriptomics data H Kim, A Kumar, C Lövkvist, AM Palma, P Martin, J Kim, P Bhoopathi, ... Molecular Systems Biology 19 (11), e11670, 2023 | 18 | 2023 |
| Antifragility predicts the robustness and evolvability of biological networks through multi-class classification with a convolutional neural network H Kim, S Muñoz, P Osuna, C Gershenson Entropy 22 (9), 986, 2020 | 17 | 2020 |
| Vesalius: high-resolution in silico anatomization of Spatial Transcriptomic data using Image Analysis PCN Martin, H Kim, C Lövkvist, BW Hong, KJ Won Molecular Systems Biology, 18:e11080, 2022 | 16 | 2022 |
| How criticality of gene regulatory networks affects the resulting morphogenesis under genetic perturbations H Kim, H Sayama Artificial Life 24 (02), 85-105, 2018 | 15 | 2018 |
| A multilayer structure facilitates the production of antifragile systems in boolean network models H Kim, OK Pineda, C Gershenson Complexity 2019 (1), 2783217, 2019 | 12 | 2019 |
| The role of criticality of gene regulatory networks in morphogenesis H Kim, H Sayama IEEE Transactions on Cognitive and Developmental Systems 12 (3), 390-400, 2018 | 7 | 2018 |
| Effects of antimodularity and multiscale influence in random Boolean networks LA Escobar, H Kim, C Gershenson Complexity 2019 (1), 8209146, 2019 | 5 | 2019 |
| Robustness and Evolvability of Multilayer Gene Regulatory Networks H Kim, H Sayama Proceedings of the Artificial Life Conference 2018, 546-547, 2018 | 5 | 2018 |
| Detecting Cell Contact-dependent Gene Expression from Spatial Transcriptomics Data H Kim, C Lövkvist, PCN Martin, J Kim, KJ Won bioRxiv, 2022 | 3 | 2022 |
| On two information-theoretic measures of random fuzzy networks O Zapata, H Kim, C Gershenson Artificial Life Conference Proceedings 32, 623-625, 2020 | 3 | 2020 |
| Unveiling contact-mediated cellular crosstalk H Kim, K Kim, E Madan, P Martin, R Gogna, HW Rhee, KJ Won Trends in Genetics, 2024 | 2 | 2024 |
| The role of criticality of gene regulatory networks on emergent properties of biological systems H Kim State University of New York at Binghamton, 2018 | 2 | 2018 |
| Criticality of gene regulatory networks and the resulting morphogenesis H Kim, H Sayama Proceedings of the European Conference on Artificial Life 2017, 245-246, 2017 | 2 | 2017 |
| The Relationship between Microscopic and Collective Properties in Gene Regulatory Network-based Morphogenetic Systems H Kim, H Sayama Proceedings of the Artificial Life Conference 2016, 370-371, 2016 | 2 | 2016 |
| Ovarian tumor cells gain competitive advantage by actively reducing the cellular fitness of microenvironment cells E Madan, AM Palma, V Vudatha, A Kumar, P Bhoopathi, J Wilhelm, ... Nature Biotechnology, 1-15, 2024 | 1 | 2024 |
| SC2Spa: a deep learning based approach to map transcriptome to spatial origins at cellular resolution L Liao, E Madan, AM Palma, H Kim, A Kumar, P Bhoopathi, R Winn, ... bioRxiv, 2023.08. 22.554277, 2023 | 1 | 2023 |
| Instability of Multilayer Networks Induced by Inter-Layer Coupling H Kim, FZ Esfahlani, S Heiserman, N Nezamoddini, H Sayama 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 278-283, 2019 | 1 | 2019 |
| Integrating Prior Knowledge Using Transformer for Gene Regulatory Network Inference G Weng, P Martin, H Kim, KJ Won Advanced Science 12 (3), 2409990, 2025 | | 2025 |
Carlos GershensonSUNY Empire Innovation Professor, Binghamton UniversityVerified email at binghamton.edu