| Adding molecular data to prognostic models can improve predictive power in treated patients with myelodysplastic syndromes A Nazha, K Al-Issa, BK Hamilton, T Radivoyevitch, AT Gerds, S Mukherjee, ... Leukemia 31 (12), 2848, 2017 | 64 | 2017 |
| The complexity of interpreting genomic data in patients with acute myeloid leukemia A Nazha, A Zarzour, K Al-Issa, T Radivoyevitch, HE Carraway, CM Hirsch, ... Blood Cancer Journal 6 (12), e510-e510, 2016 | 23 | 2016 |
| BCOR and BCORL1 mutations in myelodysplastic syndromes (MDS): clonal architecture and impact on outcomes N Abuhadra, S Mukherjee, K Al-Issa, V Adema, CM Hirsch, A Advani, ... Leukemia & lymphoma 60 (6), 1587-1590, 2019 | 22 | 2019 |
| Molecular landscape in acute myeloid leukemia: where do we stand in 2016 K Al-Issa, A Nazha Cancer biology & medicine 13 (4), 474, 2016 | 17 | 2016 |
| TP53 mutations and outcome in patients with myelodysplastic syndromes (MDS) K Al-Issa, MA Sekeres, A d Nielsen, B Jha, BP Przychodzen, M Aly, ... Blood 128 (22), 4336, 2016 | 14 | 2016 |
| Differences in genomic patterns and clinical outcomes between African-American and White patients with myelodysplastic syndromes A Nazha, K Al-Issa, B Przychodzen, N Abuhadra, C Hirsch, ... Blood Cancer Journal 7 (9), e602-e602, 2017 | 9 | 2017 |
| Narrative review of prognosis related communication in advanced cancer patients K Al-Issa, PR Helft Annals of Palliative Medicine 10 (8), 9239250-9239250, 2021 | 8 | 2021 |
| A personalized prediction model to risk stratify patients with myelodysplastic syndromes (MDS) A Nazha, RS Komrokji, J Barnard, K Al-Issa, E Padron, YF Madanat, ... Blood 130, 160, 2017 | 7 | 2017 |
| BCOR Mutations in Myelodysplastic Syndromes (MDS): Mutation Characteristics Impact Clinical Outcomes N Abuhadra, K Al-Issa, S Mukherjee, CM Hirsch, AT Gerds, BK Jha, ... Blood, The Journal of the American Society of Hematology 130 (Suppl_1), 5304 …, 2017 | 6 | 2017 |
| Screening for SF3B1 mutations is a useful tool to differentiate between acquired clonal and non-clonal sideroblastic anemia V Visconte, A Tabarroki, CJ Gerace, K Al-Issa, ED Hsi, HJ Rogers, ... Leukemia & lymphoma 56 (6), 1888-1890, 2015 | 6 | 2015 |
| Short telomere syndrome and fibrosis K Al-Issa, LB Tolle, AS Purysko, IA Hanouneh QJM: An International Journal of Medicine 109 (2), 125-126, 2015 | 6 | 2015 |
| A personalized prediction model to risk stratify patients with acute myeloid leukemia (AML) A Nazha, S Mukherjee, K Al-Issa, A Makhoul, V Adema, CM Hirsch, ... Blood 130, 1408, 2017 | 5 | 2017 |
| Incorporation of molecular data into the current prognostic models in treated patients with myelodysplastic syndromes: which model is the best K Al-Issa, A Zarzour, T Radivoyevitch, M Kalaycio, BK Hamilton, AT Gerds, ... Blood 128 (22), 50, 2016 | 5 | 2016 |
| Model heterogeneity in predicting outcomes of patients with myelodysplastic syndromes (MDS) K Al-Issa, YF Madanat, S Mukherjee, CM Hirsch, AT Gerds, N Abuhadra, ... Blood 130, 2972, 2017 | 4 | 2017 |
| Model heterogeneity in predicting outcomes in patients with chronic myelomonocytic leukemia (CMML): an overestimation of survival in lower-risk group A Nazha, MM Patnaik, RS Komrokji, K Al-Issa, N Daver, G Garcia-Manero, ... Blood 130, 4255, 2017 | 3 | 2017 |
| Mutational signatures associated with intensity and duration of smoking in Myelodysplastic Syndromes (MDS) YF Madanat, T Radivoyevitch, A Nazha, Y Sawalha, K Al-Issa, ... Blood 130, 424, 2017 | 3 | 2017 |
| Student loan debt and visa status influence on career choices for hematology and medical oncology fellows in the United States. K Al-Issa, S Rangaraju, AA Al-Hader Journal of Clinical Oncology 38 (15_suppl), 11024-11024, 2020 | 1 | 2020 |
| Distinct genomic associations to predict acute myeloid leukemia (AML) progression from myelodysplastic syndromes (MDS) YF Madanat, MA Sekeres, K Al-Issa, CM Hirsch, S Mukherjee, AT Gerds, ... Blood 130, 4245, 2017 | 1 | 2017 |
| Genomic biomarkers to predict response to hypomethylating agents in patients with myelodysplastic syndromes (MDS) A Nazha, MA Sekeres, R Bejar, RS Komrokji, J Barnard, K Al-Issa, ... Blood 130, 157, 2017 | 1 | 2017 |
| Using machine intelligence algorithms to develop a geno-clinical model to predict responses to hypomethylating agents in myelodysplastic syndromes A Nazha, MA Sekeres, R Bejar, J Barnard, K Al-Issa, BP Przychodzen, ... Blood 128 (22), 3193, 2016 | 1 | 2016 |
