Daniel J. DeAngelo

37.8k total citations · 7 hit papers
444 papers, 16.3k citations indexed

About

Daniel J. DeAngelo is a scholar working on Hematology, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Daniel J. DeAngelo has authored 444 papers receiving a total of 16.3k indexed citations (citations by other indexed papers that have themselves been cited), including 269 papers in Hematology, 156 papers in Public Health, Environmental and Occupational Health and 130 papers in Molecular Biology. Recurrent topics in Daniel J. DeAngelo's work include Acute Myeloid Leukemia Research (168 papers), Acute Lymphoblastic Leukemia research (146 papers) and Chronic Myeloid Leukemia Treatments (119 papers). Daniel J. DeAngelo is often cited by papers focused on Acute Myeloid Leukemia Research (168 papers), Acute Lymphoblastic Leukemia research (146 papers) and Chronic Myeloid Leukemia Treatments (119 papers). Daniel J. DeAngelo collaborates with scholars based in United States, Germany and United Kingdom. Daniel J. DeAngelo's co-authors include Richard M. Stone, Martha Wadleigh, Ilene Galinsky, Anjali S. Advani, Wendy Stock, Donna Neuberg, Hagop M. Kantarjian, Robert J. Soiffer, D. Gary Gilliland and Erik Vandendries and has published in prestigious journals such as New England Journal of Medicine, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Daniel J. DeAngelo

430 papers receiving 16.1k citations

Hit Papers

MPLW515L Is a Novel Somatic Activating Mutation in Myelof... 1998 2026 2007 2016 2006 2016 1998 2009 2014 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J. DeAngelo United States 60 9.0k 6.2k 4.3k 4.3k 3.9k 444 16.3k
Hervé Dombret France 67 13.5k 1.5× 7.2k 1.2× 6.1k 1.4× 4.1k 1.0× 3.7k 0.9× 377 18.9k
Elisabeth Paietta United States 61 7.8k 0.9× 4.7k 0.8× 4.3k 1.0× 3.0k 0.7× 2.6k 0.7× 278 12.9k
Tapan M. Kadia United States 57 9.8k 1.1× 5.4k 0.9× 3.0k 0.7× 2.7k 0.6× 3.9k 1.0× 778 13.2k
Sergio Amadori Italy 58 9.9k 1.1× 4.1k 0.7× 3.0k 0.7× 3.4k 0.8× 3.7k 0.9× 363 15.5k
Gautam Borthakur United States 65 13.2k 1.5× 6.7k 1.1× 3.3k 0.8× 2.9k 0.7× 6.5k 1.7× 809 17.7k
Wendy Stock United States 54 6.1k 0.7× 3.5k 0.6× 4.3k 1.0× 3.6k 0.9× 2.3k 0.6× 463 12.1k
Alan F. List United States 68 15.4k 1.7× 8.3k 1.3× 2.5k 0.6× 4.2k 1.0× 6.5k 1.7× 621 21.9k
Oliver G. Ottmann Germany 62 10.4k 1.1× 4.9k 0.8× 3.3k 0.8× 4.0k 0.9× 5.0k 1.3× 372 16.1k
Norbert Ifrah France 52 7.3k 0.8× 3.9k 0.6× 2.8k 0.7× 3.5k 0.8× 1.7k 0.4× 231 11.4k
Bayard L. Powell United States 60 9.7k 1.1× 5.7k 0.9× 3.3k 0.8× 2.8k 0.7× 2.9k 0.7× 260 14.2k

Countries citing papers authored by Daniel J. DeAngelo

Since Specialization
Citations

This map shows the geographic impact of Daniel J. DeAngelo'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 Daniel J. DeAngelo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. DeAngelo more than expected).

Fields of papers citing papers by Daniel J. DeAngelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. DeAngelo. 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 Daniel J. DeAngelo. The network helps show where Daniel J. DeAngelo may publish in the future.

Co-authorship network of co-authors of Daniel J. DeAngelo

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. DeAngelo. A scholar is included among the top collaborators of Daniel J. DeAngelo 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 Daniel J. DeAngelo. Daniel J. DeAngelo 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.
Park, Jae H., Paul Shaughnessy, Aaron C. Logan, et al.. (2025). Deep Molecular Remission Predicts Better Clinical Outcomes in Adults with Relapsed/Refractory B-Cell Acute Lymphoblastic Leukemia (R/R B-ALL) Treated with Obecabtagene Autoleucel (obe-cel). Transplantation and Cellular Therapy. 31(2). S216–S217. 1 indexed citations
2.
Daver, Naval, Pau Montesinos, Daniel J. DeAngelo, et al.. (2024). Pivekimab sunirine (IMGN632), a novel CD123-targeting antibody–drug conjugate, in relapsed or refractory acute myeloid leukaemia: a phase 1/2 study. The Lancet Oncology. 25(3). 388–399. 34 indexed citations
3.
Park, Jae H., Paul Shaughnessy, Aaron C. Logan, et al.. (2024). Obecabtagene autoleucel (obe-cel) for Adult Relapsed/Refractory B-Cell Acute Lymphoblastic Leukemia (R/R B-ALL): Deep Molecular Remission May Predict Better Outcomes. Blood. 144(Supplement 1). 963–963. 1 indexed citations
4.
Winer, Eric S., Amit Verma, Katharina S. Götze, et al.. (2024). Preliminary safety, efficacy and molecular characterization of emavusertib (CA-4948) in patients with relapsed/refractory (R/R) acute myeloid leukemia (AML) with FLT3 mutation (FLT3m).. Journal of Clinical Oncology. 42(16_suppl). 6539–6539. 1 indexed citations
5.
Daver, Naval, Pau Montesinos, Jessica K. Altman, et al.. (2024). A phase 1b/2 study of pivekimab sunirine (PVEK, IMGN632) in combination with venetoclax/azacitidine for patients with newly diagnosed CD123-positive acute myeloid leukemia.. Journal of Clinical Oncology. 42(16_suppl). TPS6585–TPS6585. 1 indexed citations
6.
Metzeler, Klaus H., Uwe Platzbecker, Eric S. Winer, et al.. (2024). Predictive biomarkers of response to the IRAK4/FLT3 inhibitor emavusertib in hematological malignancies.. Journal of Clinical Oncology. 42(16_suppl). 6550–6550. 1 indexed citations
7.
Chen, Evan C., Geoffrey Fell, Olga Pozdnyakova, et al.. (2022). Targeting MET and FGFR in Relapsed or Refractory Acute Myeloid Leukemia: Preclinical and Clinical Findings, and Signal Transduction Correlates. Clinical Cancer Research. 29(5). 878–887. 6 indexed citations
8.
Kantarjian, Hagop M., Wendy Stock, Ryan D. Cassaday, et al.. (2021). Inotuzumab Ozogamicin for Relapsed/Refractory Acute Lymphoblastic Leukemia in the INO-VATE Trial: CD22 Pharmacodynamics, Efficacy, and Safety by Baseline CD22. Clinical Cancer Research. 27(10). 2742–2754. 29 indexed citations
9.
Stock, Wendy, Jae H. Park, Ashkan Emadi, et al.. (2021). Safety and Pharmacokinetics of Calaspargase Pegol in Adults with Newly Diagnosed Philadelphia-Negative ALL: A Phase 2/3 Study. Blood. 138(Supplement 1). 4406–4406. 1 indexed citations
10.
Zwicker, Jeffrey I., Tzu‐Fei Wang, Daniel J. DeAngelo, et al.. (2020). The prevention and management of asparaginase‐related venous thromboembolism in adults: Guidance from the SSC on Hemostasis and Malignancy of the ISTH. Journal of Thrombosis and Haemostasis. 18(2). 278–284. 27 indexed citations
11.
Luskin, Marlise R., Angel M. Cronin, WooRam Jung, et al.. (2017). Spliceosome Mutations Are Associated with Frailty in Older Patients with Myeloid Malignancies. Blood. 130. 4276–4276. 1 indexed citations
13.
Nishi, Hiroshi, Kazuhiro Furuhashi, Xavier Culleré, et al.. (2017). Neutrophil FcγRIIA promotes IgG-mediated glomerular neutrophil capture via Abl/Src kinases. Journal of Clinical Investigation. 127(10). 3810–3826. 50 indexed citations
14.
Fathi, Amir T., Daniel J. DeAngelo, Kristen E. Stevenson, et al.. (2014). Intensified Chemotherapy for Older Patients with Acute Lymphoblastic Leukemia (ALL): A Phase II Study from the Dana Farber Cancer Institute (DFCI) ALL Consortium. Blood. 124(21). 3714–3714. 2 indexed citations
15.
Chonghaile, Tríona Ní, Justine E. Roderick, Jeremy Ryan, et al.. (2014). Maturation Stage of T-cell Acute Lymphoblastic Leukemia Determines BCL-2 versus BCL-XL Dependence and Sensitivity to ABT-199. Cancer Discovery. 4(9). 1074–1087. 190 indexed citations
16.
Adamia, Sophia, Benjamin Haibe‐Kains, Patrick M. Pilarski, et al.. (2013). A Genome-Wide Aberrant RNA Splicing in Patients with Acute Myeloid Leukemia Identifies Novel Potential Disease Markers and Therapeutic Targets. Clinical Cancer Research. 20(5). 1135–1145. 79 indexed citations
17.
O’Brien, Susan, Camille N. Abboud, Mojtaba Akhtari, et al.. (2012). Chronic Myelogenous Leukemia. Journal of the National Comprehensive Cancer Network. 10(1). 64–110. 20 indexed citations
18.
Banerji, Versha, Stacey M. Frumm, Kenneth N. Ross, et al.. (2012). The intersection of genetic and chemical genomic screens identifies GSK-3α as a target in human acute myeloid leukemia. Journal of Clinical Investigation. 122(3). 935–947. 85 indexed citations
19.
Ghobrial, Irene M., Morie A. Gertz, Betsy LaPlant, et al.. (2010). Phase II Trial of the Oral Mammalian Target of Rapamycin Inhibitor Everolimus in Relapsed or Refractory Waldenström Macroglobulinemia. Journal of Clinical Oncology. 28(8). 1408–1414. 102 indexed citations
20.
DeAngelo, Daniel J., et al.. (1995). The Embryonic Enhancer-Binding Protein SSAP Contains a Novel DNA-Binding Domain Which Has Homology to Several RNA-Binding Proteins. Molecular and Cellular Biology. 15(3). 1254–1264. 33 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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