Angelo D’Alessandro

30.4k total citations · 4 hit papers
535 papers, 17.0k citations indexed

About

Angelo D’Alessandro is a scholar working on Molecular Biology, Physiology and Hematology. According to data from OpenAlex, Angelo D’Alessandro has authored 535 papers receiving a total of 17.0k indexed citations (citations by other indexed papers that have themselves been cited), including 237 papers in Molecular Biology, 180 papers in Physiology and 109 papers in Hematology. Recurrent topics in Angelo D’Alessandro's work include Erythrocyte Function and Pathophysiology (136 papers), Metabolomics and Mass Spectrometry Studies (74 papers) and Blood transfusion and management (66 papers). Angelo D’Alessandro is often cited by papers focused on Erythrocyte Function and Pathophysiology (136 papers), Metabolomics and Mass Spectrometry Studies (74 papers) and Blood transfusion and management (66 papers). Angelo D’Alessandro collaborates with scholars based in United States, Italy and Canada. Angelo D’Alessandro's co-authors include Lello Zolla, Travis Nemkov, Kirk C. Hansen, Julie A. Reisz, Monika Dzieciątkowska, Rachel Culp‐Hill, James C. Zimring, Davide Stefanoni, Federica Gevi and Sara Rinalducci and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Angelo D’Alessandro

510 papers receiving 16.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Venetoclax with azacitidine disrupts energy metabolism and targets leukemia stem cells in patients with acute myeloid leukemia

2018 481 citations Daniel A. Pollyea, Brett M. Stevens et al. profile →
Inhibition of Amino Acid Metabolism Selectively Targets Human Leukemia Stem Cells

2018 388 citations Courtney L. Jones, Brett M. Stevens et al. profile →
COVID-19 infection alters kynurenine and fatty acid metabolism, correlating with IL-6 levels and renal status

2020 387 citations Tiffany Thomas, Davide Stefanoni et al. JCI Insight profile →
Chaperone-mediated autophagy sustains haematopoietic stem-cell function

2021 192 citations Monika Dzieciątkowska, Julie A. Reisz et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Angelo D’Alessandro United States	68	7.2k	4.8k	3.2k	2.1k	1.9k	535	17.0k
Kirk C. Hansen United States	63	5.9k 0.8×	2.2k 0.5×	947 0.3×	1.1k 0.5×	881 0.5×	310	12.8k
Thomas M. McIntyre United States	89	10.1k 1.4×	3.2k 0.7×	3.1k 1.0×	2.7k 1.3×	1.5k 0.8×	240	26.2k
Toshiro Fujita Japan	97	13.8k 1.9×	4.4k 0.9×	986 0.3×	1.8k 0.9×	360 0.2×	706	38.5k
Makoto Suematsu Japan	77	10.6k 1.5×	3.3k 0.7×	1.2k 0.4×	2.2k 1.1×	279 0.1×	474	22.6k
James K. Liao United States	96	11.5k 1.6×	6.4k 1.3×	719 0.2×	4.1k 2.0×	883 0.5×	280	35.1k
Stephen M. Prescott United States	89	9.1k 1.3×	2.4k 0.5×	2.9k 0.9×	2.7k 1.3×	1.3k 0.7×	233	25.6k
Carlo Brugnara United States	71	5.0k 0.7×	5.5k 1.2×	6.6k 2.1×	447 0.2×	538 0.3×	270	16.6k
Bradford C. Berk United States	100	16.6k 2.3×	5.9k 1.2×	1.0k 0.3×	2.3k 1.1×	734 0.4×	318	29.8k
Kazuhiko Igarashi Japan	69	18.3k 2.6×	1.8k 0.4×	789 0.2×	2.1k 1.0×	518 0.3×	269	24.5k
Keith M. Channon United Kingdom	83	6.0k 0.8×	6.0k 1.2×	630 0.2×	1.3k 0.6×	660 0.3×	493	23.2k

Countries citing papers authored by Angelo D’Alessandro

Since Specialization

Citations

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

Fields of papers citing papers by Angelo D’Alessandro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angelo D’Alessandro. 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 Angelo D’Alessandro. The network helps show where Angelo D’Alessandro may publish in the future.

Co-authorship network of co-authors of Angelo D’Alessandro

This figure shows the co-authorship network connecting the top 25 collaborators of Angelo D’Alessandro. A scholar is included among the top collaborators of Angelo D’Alessandro 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 Angelo D’Alessandro. Angelo D’Alessandro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Culp‐Hill, Rachel, Andrea Arruda, Tracy Murphy, et al.. (2025). Plasma lipid levels predict chemotherapy response and survival in acute myeloid leukemia. Blood. 146(21). 2589–2596.

Nemkov, Travis, et al.. (2025). Hypoxia-inducible factor 1α is required to establish the larval glycolytic program in Drosophila melanogaster. Molecular Metabolism. 93. 102106–102106.

Keele, Gregory R., Monika Dzieciątkowska, Ariel Hay, et al.. (2025). Genetic architecture of the murine red blood cell proteome reveals central role of hemoglobin beta cysteine 93 in maintaining redox balance. Cell Genomics. 6(3). 101069–101069.

Tourigny, Jason P., Katherine Beebe, Hongde Li, et al.. (2024). Renal L-2-hydroxyglutarate dehydrogenase activity promotes hypoxia tolerance and mitochondrial metabolism in Drosophila melanogaster. Molecular Metabolism. 89. 102013–102013. 1 indexed citations

Williams, Michelle M., Jessica L. Christenson, Nicole S. Spoelstra, et al.. (2024). Blocking Tryptophan Catabolism Reduces Triple-Negative Breast Cancer Invasive Capacity. Cancer Research Communications. 4(10). 2699–2713. 2 indexed citations

Dzieciątkowska, Monika, Daniel Stephenson, Pedro Luís Moura, et al.. (2024). Complete absence of GLUT1 does not impair human terminal erythroid differentiation. Blood Advances. 8(19). 5166–5178.

D’Alessandro, Angelo, Gregory R. Keele, Ariel Hay, et al.. (2024). Ferroptosis regulates hemolysis in stored murine and human red blood cells. Blood. 145(7). 765–783. 13 indexed citations

Custer, Brian, Evan M. Bloch, Barbara J. Bryant, et al.. (2023). Proceedings of the 2022 NHLBI and OASH state of the science in transfusion medicine symposium. Transfusion. 63(5). 1074–1091. 13 indexed citations

Davis, Shanlee, Angelo D’Alessandro, Julie A. Reisz, et al.. (2023). Unique plasma metabolite signature for adolescents with Klinefelter syndrome reveals altered fatty acid metabolism. Endocrine Connections. 12(5). 2 indexed citations

10.

Xu, Ping, Chang‐Han Chen, Yujin Zhang, et al.. (2022). Erythrocyte transglutaminase-2 combats hypoxia and chronic kidney disease by promoting oxygen delivery and carnitine homeostasis. Cell Metabolism. 34(2). 299–316.e6. 44 indexed citations

11.

Redzic, Jasmina S., Eunjeong Lee, Aaron Issaian, et al.. (2021). The Inherent Dynamics and Interaction Sites of the SARS-CoV-2 Nucleocapsid N-Terminal Region. Journal of Molecular Biology. 433(15). 167108–167108. 30 indexed citations

12.

Himbert, Sebastian, Syed M. Qadri, William P. Sheffield, et al.. (2021). Blood bank storage of red blood cells increases RBC cytoplasmic membrane order and bending rigidity. PLoS ONE. 16(11). e0259267–e0259267. 24 indexed citations

13.

Craighead, Daniel H., Matthew J. Rossman, Brian P. Ziemba, et al.. (2021). Time‐Efficient Inspiratory Muscle Strength Training Lowers Blood Pressure and Improves Endothelial Function, NO Bioavailability, and Oxidative Stress in Midlife/Older Adults With Above‐Normal Blood Pressure. Journal of the American Heart Association. 10(13). e020980–e020980. 75 indexed citations

14.

Thomas, Tiffany, Davide Stefanoni, Julie A. Reisz, et al.. (2020). COVID-19 infection alters kynurenine and fatty acid metabolism, correlating with IL-6 levels and renal status. JCI Insight. 5(14). 387 indexed citations breakdown →

15.

Nemkov, Travis, et al.. (2020). Gene–Diet Interactions: Dietary Rescue of Metabolic Defects in spen -Depleted Drosophila melanogaster. Genetics. 214(4). 961–975. 13 indexed citations

16.

Ye, Haobin, Mohammad Minhajuddin, Anna Krug, et al.. (2020). The Hepatic Microenvironment Uniquely Protects Leukemia Cells through Induction of Growth and Survival Pathways Mediated by LIPG. Cancer Discovery. 11(2). 500–519. 19 indexed citations

17.

Klarquist, Jared, Alisha Chitrakar, Nathan D. Pennock, et al.. (2018). Clonal expansion of vaccine-elicited T cells is independent of aerobic glycolysis. Science Immunology. 3(27). 34 indexed citations

18.

Rogers, Thomas J., Jessica L. Christenson, Lisa I. Greene, et al.. (2018). Reversal of Triple-Negative Breast Cancer EMT by miR-200c Decreases Tryptophan Catabolism and a Program of Immunosuppression. Molecular Cancer Research. 17(1). 30–41. 52 indexed citations

19.

Goddard, Erica T., Ryan C. Hill, Travis Nemkov, et al.. (2016). The Rodent Liver Undergoes Weaning-Induced Involution and Supports Breast Cancer Metastasis. Cancer Discovery. 7(2). 177–187. 39 indexed citations

20.

D’Amato, Nicholas C., Thomas J. Rogers, Melita A. Gordon, et al.. (2015). A TDO2-AhR Signaling Axis Facilitates Anoikis Resistance and Metastasis in Triple-Negative Breast Cancer. Cancer Research. 75(21). 4651–4664. 232 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.

Explore authors with similar magnitude of impact