Angelo Izzo

4.2k total citations · 1 hit paper
70 papers, 3.3k citations indexed

About

Angelo Izzo is a scholar working on Infectious Diseases, Immunology and Epidemiology. According to data from OpenAlex, Angelo Izzo has authored 70 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Infectious Diseases, 40 papers in Immunology and 28 papers in Epidemiology. Recurrent topics in Angelo Izzo's work include Tuberculosis Research and Epidemiology (55 papers), Mycobacterium research and diagnosis (25 papers) and Immune responses and vaccinations (21 papers). Angelo Izzo is often cited by papers focused on Tuberculosis Research and Epidemiology (55 papers), Mycobacterium research and diagnosis (25 papers) and Immune responses and vaccinations (21 papers). Angelo Izzo collaborates with scholars based in United States, Australia and Denmark. Angelo Izzo's co-authors include JoLynn Troudt, Ian M. Orme, R J North, Randall J. Basaraba, Peter Andersen, Claus Aagaard, Rolf Billeskov, Jes Dietrich, Truc Thi Kim Thanh Hoang and Karen M. Dobos and has published in prestigious journals such as Nature Medicine, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Angelo Izzo

69 papers receiving 3.3k citations

Hit Papers

A multistage tuberculosis... 2011 2026 2016 2021 2011 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Angelo Izzo 2.3k 1.6k 1.4k 895 404 70 3.3k
Nathalie Winter 1.6k 0.7× 1.6k 1.0× 1.3k 0.9× 699 0.8× 262 0.6× 72 3.4k
Alexander Apt 1.6k 0.7× 993 0.6× 1.3k 0.9× 584 0.7× 315 0.8× 112 2.5k
Charles A. Scanga 2.5k 1.1× 2.1k 1.3× 2.1k 1.5× 648 0.7× 695 1.7× 66 4.4k
Buka Samten 1.3k 0.6× 904 0.6× 1.1k 0.8× 536 0.6× 409 1.0× 64 2.3k
Steven C. Derrick 2.4k 1.1× 1.5k 0.9× 1.5k 1.1× 808 0.9× 398 1.0× 42 3.2k
Jes Dietrich 2.0k 0.9× 3.6k 2.2× 1.3k 0.9× 1.4k 1.6× 342 0.8× 81 5.3k
Evangelos Stavropoulos 1.6k 0.7× 1.2k 0.7× 1.2k 0.9× 591 0.7× 290 0.7× 22 2.4k
Antonio Campos‐Neto 1.4k 0.6× 1.6k 1.0× 2.2k 1.5× 893 1.0× 341 0.8× 106 4.5k
Timo Ulrichs 1.5k 0.7× 979 0.6× 1.2k 0.9× 456 0.5× 589 1.5× 45 2.4k
Ludovic Tailleux 1.3k 0.6× 1.1k 0.6× 938 0.7× 758 0.8× 270 0.7× 33 2.7k

Countries citing papers authored by Angelo Izzo

Since Specialization
Citations

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

Fields of papers citing papers by Angelo Izzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angelo Izzo

This figure shows the co-authorship network connecting the top 25 collaborators of Angelo Izzo. A scholar is included among the top collaborators of Angelo Izzo 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 Izzo. Angelo Izzo 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.
Kumari, Sneha, Linda Izzo, Yalini H. Wijesundara, et al.. (2024). Mn and Zn‐Doped Multivariate Metal–Organic Framework as a Metalloimmunological Adjuvant to Promote Protection Against Tuberculosis Infection. Advanced Healthcare Materials. 14(26). e2402358–e2402358. 3 indexed citations
2.
Kok, Tuckweng, Angelo Izzo, & Maurizio Costabile. (2023). Intracellular immunoglobulin A (icIgA) in protective immunity and vaccines. Scandinavian Journal of Immunology. 97(4). e13253–e13253. 1 indexed citations
4.
Bickett, Thomas E., Elizabeth Creissen, Linda Izzo, et al.. (2020). Characterizing the BCG Induced Macrophage and Neutrophil Mechanisms for Defense Against Mycobacterium tuberculosis. Frontiers in Immunology. 11. 1202–1202. 41 indexed citations
5.
Obregón‐Henao, Andrés, Marcela Henao‐Tamayo, Richard A. Bowen, et al.. (2019). Minipigs as a neonatal animal model for tuberculosis vaccine efficacy testing. Veterinary Immunology and Immunopathology. 215. 109884–109884. 8 indexed citations
6.
Flores‐Valdez, Mario Alberto, Eliza J. R. Peterson, Nitin S. Baliga, et al.. (2018). The BCGΔBCG1419c Vaccine Candidate Reduces Lung Pathology, IL-6, TNF-α, and IL-10 During Chronic TB Infection. Frontiers in Microbiology. 9. 1281–1281. 26 indexed citations
7.
Duncan, Carla, Frances Jamieson, JoLynn Troudt, et al.. (2017). Whole transcriptomic and proteomic analyses of an isogenic M. tuberculosis clinical strain with a naturally occurring 15 Kb genomic deletion. PLoS ONE. 12(6). e0179996–e0179996. 6 indexed citations
8.
Sukocheva, Olga, Jim Manavis, Tuckweng Kok, et al.. (2016). Coxiella burnetii dormancy in a fatal ten-year multisystem dysfunctional illness: case report. BMC Infectious Diseases. 16(1). 165–165. 8 indexed citations
9.
Zelmer, Andrea, Rachel Tanner, Elena Stylianou, et al.. (2016). A new tool for tuberculosis vaccine screening: Ex vivo Mycobacterial Growth Inhibition Assay indicates BCG-mediated protection in a murine model of tuberculosis. BMC Infectious Diseases. 16(1). 412–412. 26 indexed citations
10.
Brennan, Michael J., et al.. (2012). Preclinical evidence for implementing a prime-boost vaccine strategy for tuberculosis. Vaccine. 30(18). 2811–2823. 54 indexed citations
11.
Mathema, Barun, Natalia Kurepina, Guibin Yang, et al.. (2012). Epidemiologic Consequences of Microvariation in Mycobacterium tuberculosis. The Journal of Infectious Diseases. 205(6). 964–974. 22 indexed citations
12.
Kruh‐Garcia, Nicole A., JoLynn Troudt, Angelo Izzo, Jessica E. Prenni, & Karen M. Dobos. (2010). Portrait of a Pathogen: The Mycobacterium tuberculosis Proteome In Vivo. PLoS ONE. 5(11). e13938–e13938. 173 indexed citations
13.
McFarland, Christine T., Lan H. Ly, Amminikutty Jeevan, et al.. (2010). BCG vaccination in the cotton rat (Sigmodon hispidus) infected by the pulmonary route with virulent Mycobacterium tuberculosis. Tuberculosis. 90(4). 262–267. 6 indexed citations
14.
Kashino, Suely Sanae, Therese Vallerskog, Gregory W. Martens, et al.. (2009). Initiation of Acquired Immunity in the Lungs of Mice Lacking Lymph Nodes after Infection with Aerosolized Mycobacterium tuberculosis. American Journal Of Pathology. 176(1). 198–204. 16 indexed citations
16.
Aagaard, Claus, Truc Thi Kim Thanh Hoang, Angelo Izzo, et al.. (2009). Protection and Polyfunctional T Cells Induced by Ag85B-TB10.4/IC31® against Mycobacterium tuberculosis Is Highly Dependent on the Antigen Dose. PLoS ONE. 4(6). e5930–e5930. 128 indexed citations
17.
Jordan, Michael B., Amanda Guth, Karen S. Sellins, et al.. (2006). Efficient Immunization and Cross-Priming by Vaccine Adjuvants Containing TLR3 or TLR9 Agonists Complexed to Cationic Liposomes. The Journal of Immunology. 176(12). 7335–7345. 204 indexed citations
18.
Basaraba, Randall J., Angelo Izzo, Lise Brandt, & Ian M. Orme. (2005). Decreased survival of guinea pigs infected with Mycobacterium tuberculosis after multiple BCG vaccinations. Vaccine. 24(3). 280–286. 41 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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