Edward Ayoub

447 total citations
27 papers, 175 citations indexed

About

Edward Ayoub is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Edward Ayoub has authored 27 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Hematology, 13 papers in Molecular Biology and 9 papers in Oncology. Recurrent topics in Edward Ayoub's work include Acute Myeloid Leukemia Research (16 papers), Protein Degradation and Inhibitors (7 papers) and Multiple Myeloma Research and Treatments (4 papers). Edward Ayoub is often cited by papers focused on Acute Myeloid Leukemia Research (16 papers), Protein Degradation and Inhibitors (7 papers) and Multiple Myeloma Research and Treatments (4 papers). Edward Ayoub collaborates with scholars based in United States, Germany and Switzerland. Edward Ayoub's co-authors include Michael Andreeff, Archibald S. Perkins, Kathleen E. McGrath, James Palis, Yi Zhang, Bing Z. Carter, Vivian Ruvolo, Po Yee Mak, Benjamin J. Frisch and Laura M. Calvi and has published in prestigious journals such as Nature Communications, Blood and Science Advances.

In The Last Decade

Edward Ayoub

24 papers receiving 175 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Edward Ayoub United States 8 111 97 31 27 24 27 175
Corinna Albers Germany 7 92 0.8× 89 0.9× 11 0.4× 25 0.9× 42 1.8× 13 171
Jutta Ortiz-Tánchez Germany 6 157 1.4× 86 0.9× 21 0.7× 40 1.5× 35 1.5× 8 245
Amritha Varshini Hanasoge Somasundara United States 5 95 0.9× 59 0.6× 11 0.4× 40 1.5× 50 2.1× 6 168
Valerio Ciaurro United States 3 182 1.6× 90 0.9× 13 0.4× 19 0.7× 17 0.7× 8 237
Adele Baker Australia 3 155 1.4× 87 0.9× 19 0.6× 60 2.2× 11 0.5× 3 186
Denice Hickman United States 6 121 1.1× 164 1.7× 35 1.1× 68 2.5× 33 1.4× 9 223
Nicola Long United States 7 85 0.8× 119 1.2× 16 0.5× 32 1.2× 48 2.0× 17 203
Sivahari Prasad Gorantla Germany 7 70 0.6× 83 0.9× 14 0.5× 41 1.5× 54 2.3× 24 162
Desmond Wai Loon Chin Singapore 6 157 1.4× 106 1.1× 8 0.3× 33 1.2× 41 1.7× 12 235
Stefanie Kreutmair Germany 9 88 0.8× 53 0.5× 13 0.4× 49 1.8× 17 0.7× 21 173

Countries citing papers authored by Edward Ayoub

Since Specialization
Citations

This map shows the geographic impact of Edward Ayoub's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Edward Ayoub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Ayoub more than expected).

Fields of papers citing papers by Edward Ayoub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward Ayoub. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Edward Ayoub. The network helps show where Edward Ayoub may publish in the future.

Co-authorship network of co-authors of Edward Ayoub

This figure shows the co-authorship network connecting the top 25 collaborators of Edward Ayoub. A scholar is included among the top collaborators of Edward Ayoub based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Edward Ayoub. Edward Ayoub is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mak, Po Yee, Edward Ayoub, Xiaogang Wu, et al.. (2025). Restoring p53 wild-type conformation in TP53 -Y220C–mutant acute myeloid leukemia. Blood. 146(21). 2574–2588.
2.
3.
Ayoub, Edward, Li Li, Muharrem Müftüoğlu, et al.. (2024). Single-Cell Multiomics Unveils Venetoclax-Resistant Monocytic Differentiation and Immune Evasion in TP53 Mutant AML Clones. Blood. 144(Supplement 1). 61–61. 2 indexed citations
4.
Mi, Yang, Yichen Wang, Philipp Mertins, et al.. (2024). Failure to Execute Caspase Activation Drives Therapy Resistance in TP53 Mutated AML. Blood. 144(Supplement 1). 53–53.
5.
6.
Li, Li, Muharrem Müftüoğlu, Edward Ayoub, et al.. (2024). TP53 Mutations within T Cells Induce T-Cell Exhaustion and Functional Impairment in TP53 Mutant AML. Blood. 144(Supplement 1). 330–330.
7.
Tang, Zhenya, Wei Wang, Su Yang, et al.. (2023). 3q26.2/MECOM Rearrangements by Pericentric Inv(3): Diagnostic Challenges and Clinicopathologic Features. Cancers. 15(2). 458–458. 8 indexed citations
8.
Ishizawa, Jo, Edward Ayoub, Muharrem Müftüoğlu, et al.. (2023). Enhanced TP53 reactivation disrupts MYC transcriptional program and overcomes venetoclax resistance in acute myeloid leukemias. Science Advances. 9(48). eadh1436–eadh1436. 13 indexed citations
9.
Baumgartner, Francis, Constance Baer, Stefanos A. Bamopoulos, et al.. (2023). Comparing malignant monocytosis across the updated WHO and ICC classifications of 2022. Blood. 143(12). 1139–1156. 10 indexed citations
10.
Akiyama, Hiroki, Ran Zhao, Ziyi Li, et al.. (2023). Mitochondrial regulation of GPX4 inhibition–mediated ferroptosis in acute myeloid leukemia. Leukemia. 38(4). 729–740. 27 indexed citations
11.
Pourebrahim, Rasoul, Patrick P. Lin, Bin Liu, et al.. (2023). Mdm2/p53 levels in bone marrow mesenchymal stromal cells are essential for maintaining the hematopoietic niche in response to DNA damage. Cell Death and Disease. 14(6). 371–371. 3 indexed citations
12.
Carter, Bing Z., Po Yee Mak, Wenjing Tao, et al.. (2023). Combined inhibition of BCL-2 and MCL-1 overcomes BAX deficiency-mediated resistance of TP53-mutant acute myeloid leukemia to individual BH3 mimetics. Blood Cancer Journal. 13(1). 57–57. 20 indexed citations
13.
Nishida, Yuki, Edward Ayoub, Po Yee Mak, et al.. (2023). Stem-Cell Enriched Cellular Hierarchy of TP53 Mutant Acute Myeloid Leukemia Is Vulnerable to Targeted Protein Degradation of c-MYC. Blood. 142(Supplement 1). 583–583. 1 indexed citations
14.
15.
Nishida, Yuki, Edward Ayoub, Vivian Ruvolo, et al.. (2022). C-MYC Targeting By Degradation: Novel Dual c-Myc/GSPT1 Degrader GT19715 Induces TP53-Independent Cell Death in Acute Myeloid Leukemia and Lymphomas. Blood. 140(Supplement 1). 483–484. 6 indexed citations
16.
Ayoub, Edward, Yuki Nishida, Vakul Mohanty, et al.. (2022). Polyploidy Is Necessary for Apoptotic Cell Death in TP53-Mut AML in Response to Polo-like-Kinase 4 (PLK4) Inhibition and Results in Caspase 3 Cleavage. Blood. 140(Supplement 1). 5941–5943. 2 indexed citations
17.
Zhang, Yi, Kathleen E. McGrath, Edward Ayoub, et al.. (2021). Mds1, an inducible Cre allele specific to adult-repopulating hematopoietic stem cells. Cell Reports. 36(7). 109562–109562. 15 indexed citations
18.
Carter, Bing Z., Po Yee Mak, Wenjing Tao, et al.. (2021). Combined Inhibition of Bcl-2 and Mcl-1 Circumvents Resistance of TP53 Deficient/Mutant AML to BH3 Mimetics. Blood. 138(Supplement 1). 2239–2239. 2 indexed citations
19.
Nishida, Yuki, Jo Ishizawa, Edward Ayoub, et al.. (2020). Exportin-1 (XPO1) Inhibition Sequesters p53 from MDM2 and MDM4 and Is Highly Synergistic with MDM2 Inhibition in Inducing Apoptosis in Wild-Type p53 Acute Myeloid Leukemias. Blood. 136(Supplement 1). 23–24. 2 indexed citations
20.
Ayoub, Edward, Michael P. Wilson, Kathleen E. McGrath, et al.. (2018). EVI1 overexpression reprograms hematopoiesis via upregulation of Spi1 transcription. Nature Communications. 9(1). 4239–4239. 37 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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