Michael E. D’Angelo

871 total citations
15 papers, 662 citations indexed

About

Michael E. D’Angelo is a scholar working on Public Health, Environmental and Occupational Health, Hematology and Molecular Biology. According to data from OpenAlex, Michael E. D’Angelo has authored 15 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Public Health, Environmental and Occupational Health, 5 papers in Hematology and 4 papers in Molecular Biology. Recurrent topics in Michael E. D’Angelo's work include Autoimmune and Inflammatory Disorders Research (5 papers), Anesthesia and Neurotoxicity Research (2 papers) and Cell death mechanisms and regulation (2 papers). Michael E. D’Angelo is often cited by papers focused on Autoimmune and Inflammatory Disorders Research (5 papers), Anesthesia and Neurotoxicity Research (2 papers) and Cell death mechanisms and regulation (2 papers). Michael E. D’Angelo collaborates with scholars based in Australia, United States and United Kingdom. Michael E. D’Angelo's co-authors include Phillip I. Bird, Joseph A. Trapani, James C. Whisstock, Michelle A. Dunstone, Annette Ciccone, Michael J. Kuiper, Katherine Baran, Natalya Lukoyanova, Fasséli Coulibaly and Tom T. Caradoc-Davies and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Biochimica et Biophysica Acta (BBA) - Biomembranes.

In The Last Decade

Michael E. D’Angelo

15 papers receiving 653 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael E. D’Angelo Australia 10 236 222 94 89 86 15 662
Anush Arakelyan United States 19 421 1.8× 199 0.9× 26 0.3× 66 0.7× 74 0.9× 40 870
Francis Mandy Canada 17 306 1.3× 266 1.2× 120 1.3× 38 0.4× 27 0.3× 26 934
Eric S. Groves United States 16 247 1.0× 441 2.0× 78 0.8× 35 0.4× 35 0.4× 26 1.0k
Jerry D. Wilson United States 6 246 1.0× 294 1.3× 40 0.4× 102 1.1× 22 0.3× 14 855
Sakae Kaneko Japan 20 157 0.7× 206 0.9× 63 0.7× 78 0.9× 62 0.7× 50 1.4k
Soulaïma Chamat Lebanon 17 220 0.9× 336 1.5× 57 0.6× 102 1.1× 48 0.6× 33 905
Shingo Kato Japan 23 326 1.4× 391 1.8× 271 2.9× 118 1.3× 29 0.3× 80 1.4k
Joel Gatlin United States 13 385 1.6× 377 1.7× 36 0.4× 148 1.7× 22 0.3× 26 1.1k
Thomas W. McCloskey United States 18 272 1.2× 485 2.2× 33 0.4× 29 0.3× 23 0.3× 32 958
Jean-Philippe Goulet Canada 18 392 1.7× 681 3.1× 29 0.3× 97 1.1× 29 0.3× 27 1.4k

Countries citing papers authored by Michael E. D’Angelo

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. D’Angelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael E. D’Angelo

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

All Works

15 of 15 papers shown
1.
Hansberry, David R., Michael E. D’Angelo, Arpan V. Prabhu, et al.. (2019). Lemierre's syndrome: Acute oropharyngeal infection leading to septic thrombophlebitis of the internal jugular vein with pulmonary septic emboli. Interdisciplinary Neurosurgery. 19. 100573–100573. 6 indexed citations
2.
Hume, Robert D., Lorraine Berry, Stefanie Reichelt, et al.. (2018). An Engineered Human Adipose/Collagen Model for In Vitro Breast Cancer Cell Migration Studies. Tissue Engineering Part A. 24(17-18). 1309–1319. 27 indexed citations
3.
Lloyd‐Lewis, Bethan, Timothy J. Sargeant, Michael E. D’Angelo, et al.. (2018). Stat3-mediated alterations in lysosomal membrane protein composition. Journal of Biological Chemistry. 293(12). 4244–4261. 25 indexed citations
4.
Hansberry, David R., Michael D. White, Michael E. D’Angelo, et al.. (2018). Lung Cancer Screening Guidelines: How Readable Are Internet-Based Patient Education Resources?. American Journal of Roentgenology. 211(1). W42–W46. 19 indexed citations
5.
Hansberry, David R., Michael E. D’Angelo, Michael D. White, et al.. (2017). Quantitative analysis of the level of readability of online emergency radiology-based patient education resources. Emergency Radiology. 25(2). 147–152. 8 indexed citations
6.
Stewart, Sarah E., Catherina H. Bird, Rico F. Tabor, et al.. (2015). Analysis of Perforin Assembly by Quartz Crystal Microbalance Reveals a Role for Cholesterol and Calcium-independent Membrane Binding. Journal of Biological Chemistry. 290(52). 31101–31112. 4 indexed citations
7.
Stewart, Sarah E., Michael E. D’Angelo, Stefania Piantavigna, et al.. (2014). Assembly of streptolysin O pores assessed by quartz crystal microbalance and atomic force microscopy provides evidence for the formation of anchored but incomplete oligomers. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1848(1). 115–126. 19 indexed citations
8.
Stewart, Sarah E., Stephanie C. Kondos, Antony Y. Matthews, et al.. (2014). The Perforin Pore Facilitates the Delivery of Cationic Cargos. Journal of Biological Chemistry. 289(13). 9172–9181. 31 indexed citations
9.
D’Angelo, Michael E., et al.. (2013). Cloning and characterising an unusual perforin from chicken (Gallus gallus). Developmental & Comparative Immunology. 41(2). 105–109. 5 indexed citations
10.
D’Angelo, Michael E., Michelle A. Dunstone, James C. Whisstock, Joseph A. Trapani, & Phillip I. Bird. (2012). Perforin evolved from a gene duplication of MPEG1, followed by a complex pattern of gene gain and loss within Euteleostomi. BMC Evolutionary Biology. 12(1). 59–59. 44 indexed citations
11.
Stewart, Sarah E., Michael E. D’Angelo, & Phillip I. Bird. (2011). Intercellular communication via the endo-lysosomal system: Translocation of granzymes through membrane barriers. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1824(1). 59–67. 19 indexed citations
12.
Law, Ruby H. P., Natalya Lukoyanova, Ilia Voskoboinik, et al.. (2010). The structural basis for membrane binding and pore formation by lymphocyte perforin. Nature. 468(7322). 447–451. 315 indexed citations
13.
D’Angelo, Michael E., Phillip I. Bird, Christoph Peters, et al.. (2010). Cathepsin H Is an Additional Convertase of Pro-granzyme B. Journal of Biological Chemistry. 285(27). 20514–20519. 60 indexed citations
14.
Bernardo, Nelson L., et al.. (1999). Delayed ischemic preconditioning is mediated by opening of ATP-sensitive potassium channels in the rabbit heart. American Journal of Physiology-Heart and Circulatory Physiology. 276(4). H1323–H1330. 78 indexed citations
15.
Kukreja, Rakesh C., Nelson L. Bernardo, & Michael E. D’Angelo. (1998). ATP-sensitive potassium (KATP) channel is involved in the second window of ischemic preconditioning in rabbit. Pathophysiology. 5. 22–22. 2 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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