Connection

Co-Authors

This is a "connection" page, showing publications co-authored by KAPIL BHALLA and SANAM LOGHAVI.
Connection Strength

2.082
  1. Preclinical efficacy of CDK7 inhibitor-based combinations against myeloproliferative neoplasms transformed to AML. Blood. 2024 Nov 19.
    View in: PubMed
    Score: 0.248
  2. BRG1/BRM inhibitor targets AML stem cells and exerts superior preclinical efficacy combined with BET or menin inhibitor. Blood. 2024 05 16; 143(20):2059-2072.
    View in: PubMed
    Score: 0.240
  3. Efficacy of novel agents against cellular models of familial platelet disorder with myeloid malignancy (FPD-MM). Blood Cancer J. 2024 02 05; 14(1):25.
    View in: PubMed
    Score: 0.235
  4. Targeting of epigenetic co-dependencies enhances anti-AML efficacy of Menin inhibitor in AML with MLL1-r or mutant NPM1. Blood Cancer J. 2023 04 13; 13(1):53.
    View in: PubMed
    Score: 0.222
  5. Causal linkage of presence of mutant NPM1 to efficacy of novel therapeutic agents against AML cells with mutant NPM1. Leukemia. 2023 06; 37(6):1336-1348.
    View in: PubMed
    Score: 0.222
  6. Activity of menin inhibitor ziftomenib (KO-539) as monotherapy or in combinations against AML cells with MLL1 rearrangement or mutant NPM1. Leukemia. 2022 11; 36(11):2729-2733.
    View in: PubMed
    Score: 0.214
  7. Characteristics and clinical outcomes of patients with myeloid malignancies and DDX41 variants. Am J Hematol. 2023 Nov; 98(11):1780-1790.
    View in: PubMed
    Score: 0.057
  8. Clinical outcomes associated with NPM1 mutations in patients with relapsed or refractory AML. Blood Adv. 2023 03 28; 7(6):933-942.
    View in: PubMed
    Score: 0.055
  9. Immune evasion phenotype is common in Richter transformation diffuse large B-cell lymphoma?variant. Virchows Arch. 2023 Jun; 482(6):1011-1019.
    View in: PubMed
    Score: 0.055
  10. Immunophenotypic and genomic landscape of Richter transformation diffuse large B-cell lymphoma. Pathology. 2023 Jun; 55(4):514-524.
    View in: PubMed
    Score: 0.055
  11. Differential prognostic impact of RUNX1 mutations according to frontline therapy in patients with acute myeloid leukemia. Am J Hematol. 2022 12; 97(12):1560-1567.
    View in: PubMed
    Score: 0.054
  12. TP53 copy number and protein expression inform mutation status across risk categories in acute myeloid leukemia. Blood. 2022 07 07; 140(1):58-72.
    View in: PubMed
    Score: 0.053
  13. Major clinical response in a patient with leukemia cutis treated with the bromodomain inhibitor PLX51107 and azacitidine. Leuk Res. 2022 08; 119:106884.
    View in: PubMed
    Score: 0.052
  14. Author Correction: Clonal evolution of acute myeloid leukemia revealed by high-throughput single-cell genomics. Nat Commun. 2021 May 10; 12(1):2823.
    View in: PubMed
    Score: 0.049
  15. Patterns of Resistance Differ in Patients with Acute Myeloid Leukemia Treated with Type I versus Type II FLT3 inhibitors. Blood Cancer Discov. 2021 03; 2(2):125-134.
    View in: PubMed
    Score: 0.047
  16. Publisher Correction: Clonal evolution of acute myeloid leukemia revealed by high-throughput single-cell genomics. Nat Commun. 2020 Nov 19; 11(1):5996.
    View in: PubMed
    Score: 0.047
  17. Clonal evolution of acute myeloid leukemia revealed by high-throughput single-cell genomics. Nat Commun. 2020 10 21; 11(1):5327.
    View in: PubMed
    Score: 0.047
  18. Clonal evolution and treatment outcomes in hematopoietic neoplasms arising in patients with germline RUNX1 mutations. Am J Hematol. 2020 11; 95(11):E313-E315.
    View in: PubMed
    Score: 0.046
  19. Dual Expression of TCF4 and CD123 Is Highly Sensitive and Specific For Blastic Plasmacytoid Dendritic Cell Neoplasm. Am J Surg Pathol. 2019 10; 43(10):1429-1437.
    View in: PubMed
    Score: 0.044
  20. MYC protein expression is an important prognostic factor in acute myeloid leukemia. Leuk Lymphoma. 2019 01; 60(1):37-48.
    View in: PubMed
    Score: 0.039
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.