| Issue Date | Title | Author(s) | Rank |
| 21-Jun-2021 | A bioinformatics approach to inferring environmental drivers of SARS-CoV-2 transmissibility | Marković, S. ; Milićević, O.; Rodić, A. ; Zigić, D.; Tumbas Z. Marko ; Salom, I.; Đorđević, M.; Đorđević, Marko | M34 |
| 4-Jul-2022 | Combining machine learning and non-linear dynamics modeling to understand COVID-19 risk factors | Đorđević, Marko ; Salom, I.; Djordjevic, M.; Marković, Sofija ; Rodić, Anđela ; Milicevic, M.; Tumbas Z. Marko ; Zigic, D. | M34 |
| Jun-2023 | Determinants of CRISPR array non-canonical adaptation mechanism | Tumbas Marko ; Djordjevic Marko | M34 |
| Aug-2024 | Insights into the natural activation mechanism of the CRISPR-Cas immune system in Escherichia coli from a computational modeling analysis | Rodic A ; Tumbas M ; Kondev J; Djordjevic M; Djordjevic M | M34 |
| 2023 | A large-scale machine learning study of sociodemographic factors contributing to COVID-19 severity | Tumbas Z. Marko ; Marković, Sofija ; Salom, Igor; Đorđević, Marko | |
| 24-Jun-2021 | PM2.5 as a major predictor of COVID-19 basic reproduction number in the USA | Milicevic, Ognjen; Salom, Igor; Rodic, Andjela ; Marković Z. Sofija ; Tumbas Z. Marko ; Zigic, Dusan; Djordjevic, Magdalena; Djordjevic, Marko | M21a |
| Nov-2024 | Testing a Mathematical Model of Endogenous Activation of Immune Response in Escherichia coli | Rodic A ; Tumbas M ; Kondev J; Djordjevic M; Djordjevic M | M34 |
| Jun-2024 | Understanding the natural activation mechanism of the CRISPR-Cas immune system in Escherichia coli: A Computational Modeling Perspective | Rodic A ; Tumbas M ; Kondev J; Djordjevic M; Djordjevic M | M32 |
