| Graph representation learning in biomedicine and healthcare MM Li, K Huang, M Zitnik Nature Biomedical Engineering 6 (12), 1353-1369, 2022 | 194* | 2022 |
| A bioinformatic analysis of integrative mobile genetic elements highlights their role in bacterial adaptation MG Durrant, MM Li, BA Siranosian, SB Montgomery, AS Bhatt Cell Host & Microbe 27 (1), 140-153. e9, 2020 | 152 | 2020 |
| Subgraph neural networks E Alsentzer, SG Finlayson, MM Li, M Zitnik NeurIPS, 2020 | 127 | 2020 |
| Microbiota dynamics in a randomized trial of gut decontamination during allogeneic hematopoietic cell transplantation CJ Severyn, BA Siranosian, STJ Kong, A Moreno, MM Li, N Chen, ... JCI insight 7 (7), 2022 | 14 | 2022 |
| RNA markers for ultra-rapid molecular antimicrobial susceptibility testing in fluoroquinolone-treated Klebsiella pneumoniae X Yang, MM Hashemi, N Andini, MM Li, S Kuang, KC Carroll, TH Wang, ... Journal of Antimicrobial Chemotherapy 75 (7), 1747-1755, 2020 | 10 | 2020 |
| Current and future directions in network biology M Zitnik, MM Li, A Wells, K Glass, DM Gysi, A Krishnan, TM Murali, ... arXiv preprint arXiv:2309.08478, 2023 | 9 | 2023 |
| Contextualizing protein representations using deep learning on protein networks and single-cell data MM Li, Y Huang, M Sumathipala, MQ Liang, A Valdeolivas, ... bioRxiv, 2023 | 7 | 2023 |
| Graph AI in Medicine R Johnson, MM Li, A Noori, O Queen, M Zitnik arXiv preprint arXiv:2310.13767, 2023 | 6 | 2023 |
| Deep Contextual Learners for Protein Networks MM Li, M Zitnik ICML Workshop on Computational Biology, 2021 | 4 | 2021 |
| Mobile genetic element insertions drive antibiotic resistance across pathogens MG Durrant, MM Li, B Siranosian, AS Bhatt BioRxiv, 527788, 2019 | 4 | 2019 |
| Deep learning for diagnosing patients with rare genetic diseases E Alsentzer, MM Li, SN Kobren, Undiagnosed Diseases Network, ... medRxiv, 2022.12. 07.22283238, 2022 | 3 | 2022 |
| Simulation of undiagnosed patients with novel genetic conditions E Alsentzer, SG Finlayson, MM Li, Undiagnosed Diseases Network, ... Nature Communications 14 (1), 6403, 2023 | 2 | 2023 |
| Metapaths: similarity search in heterogeneous knowledge graphs via meta-paths A Noori, MM Li, ALM Tan, M Zitnik Bioinformatics 39 (5), btad297, 2023 | 2 | 2023 |
| Graph Artificial Intelligence in Medicine R Johnson, MM Li, A Noori, O Queen, M Zitnik Annual Review of Biomedical Data Science 7, 2024 | 1 | 2024 |
| TDC-2: Multimodal Foundation for Therapeutic Science A Velez-Arce, K Huang, M Li, X Lin, W Gao, T Fu, M Kellis, BL Pentelute, ... bioRxiv, 2024.06. 12.598655, 2024 | 1 | 2024 |
| Longitudinal changes in the intestinal microbiome composition following gut decontamination in pediatric allogeneic hematopoietic stem cell transplant patients: a pilot study C Severyn, WB London, P Kao, S Silverstein, M Li, S Kim, K Verrill, J Ritz, ... Blood 134, 5665, 2019 | 1 | 2019 |
| Impact of Gut Decontamination on the Microbiome and Risk of Bloodstream Infections during Pediatric Allogeneic Hematopoietic Stem Cell Transplantation CJ Severyn, BA Siranosian, STJ Kong, MM Li, N Chen, WB London, ... 2022 Tandem Meetings| Transplantation & Cellular Therapy Meetings of ASTCT …, 2022 | | 2022 |
| Randomized controlled trial of gut decontamination in pediatric patients undergoing allogeneic hematopoietic cell transplantation CJ Severyn, BA Siranosian, STJ Kong, A Moreno, MM Li, N Chen, ... medRxiv, 2021.12. 16.21267940, 2021 | | 2021 |
| Randomized controlled trial of gut decontamination in pediatric patients undergoing allogeneic hematopoietic cell transplantation CJ Severyn, BA Siranosian, STJ Kong, A Moreno, MM Li, N Chen, ... medRxiv, 2021.12. 16.21267940, 2021 | | 2021 |
| Discrepancies in Epidemiological Modeling of Aggregated Heterogeneous Data AL Trella, PN Argaw, MM Li, JA Hay IJCAI Workshop on AI for Social Good, 2021 | | 2021 |
Marinka ZitnikAssistant Professor, Harvard University在 hms.harvard.edu 的电子邮件经过验证
