Michael J. Noto

2.2k total citations
30 papers, 1.2k citations indexed

About

Michael J. Noto is a scholar working on Molecular Biology, Infectious Diseases and Immunology. According to data from OpenAlex, Michael J. Noto has authored 30 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Infectious Diseases and 6 papers in Immunology. Recurrent topics in Michael J. Noto's work include Bacterial biofilms and quorum sensing (6 papers), Vibrio bacteria research studies (5 papers) and Antimicrobial Resistance in Staphylococcus (5 papers). Michael J. Noto is often cited by papers focused on Bacterial biofilms and quorum sensing (6 papers), Vibrio bacteria research studies (5 papers) and Antimicrobial Resistance in Staphylococcus (5 papers). Michael J. Noto collaborates with scholars based in United States, United Kingdom and France. Michael J. Noto's co-authors include Gordon L. Archer, Eric P. Skaar, Todd W. Rice, Richard M. Caprioli, Jessica L. Moore, Mark C. Enright, William A. Craig, Adriana E. Rosato, Hilmar Wisplinghoff and William J. Burns and has published in prestigious journals such as JAMA, Nature Communications and The Journal of Immunology.

In The Last Decade

Michael J. Noto

30 papers receiving 1.2k 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 J. Noto United States 15 523 461 221 188 177 30 1.2k
R. F. Jacobs United States 22 357 0.7× 1.1k 2.4× 140 0.6× 69 0.4× 20 0.1× 51 2.5k
J. T. Magee United Kingdom 18 199 0.4× 201 0.4× 78 0.4× 216 1.1× 7 0.0× 61 966
Ronald A. Greenfield United States 24 243 0.5× 781 1.7× 184 0.8× 52 0.3× 6 0.0× 58 1.8k
Roberto Bandettini Italy 19 114 0.2× 390 0.8× 135 0.6× 156 0.8× 5 0.0× 71 1.1k
Kazufumi Hiramatsu Japan 21 228 0.4× 611 1.3× 209 0.9× 92 0.5× 5 0.0× 121 1.5k
A. M. Geddes United Kingdom 22 150 0.3× 339 0.7× 111 0.5× 88 0.5× 6 0.0× 99 1.5k
Sigurður Guðmundsson Iceland 24 233 0.4× 399 0.9× 106 0.5× 305 1.6× 14 0.1× 56 2.2k
W L Albritton Canada 28 256 0.5× 240 0.5× 128 0.6× 105 0.6× 10 0.1× 89 2.0k
Axel Kola Germany 24 338 0.6× 436 0.9× 150 0.7× 270 1.4× 27 0.2× 66 2.0k
Laia Fernández‐Barat Spain 23 369 0.7× 204 0.4× 422 1.9× 53 0.3× 55 0.3× 78 1.3k

Countries citing papers authored by Michael J. Noto

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Noto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Noto

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Noto. A scholar is included among the top collaborators of Michael J. Noto 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 J. Noto. Michael J. Noto 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.
Ju, Julia A., et al.. (2024). Tubulin‐Based Microtentacles Aid in Heterotypic Clustering of Neutrophil‐Differentiated HL‐60 Cells and Breast Tumor Cells. Advanced Science. 12(6). e2409260–e2409260. 3 indexed citations
2.
Noto, Michael J., et al.. (2024). Interferon lambda signaling in neutrophils enhances the pathogenesis of Bordetella pertussis infection. Journal of Leukocyte Biology. 117(2). 1 indexed citations
3.
4.
Burns, William J., et al.. (2020). Broad-spectrum suppression of bacterial pneumonia by aminoglycoside-propagated Acinetobacter baumannii. PLoS Pathogens. 16(3). e1008374–e1008374. 3 indexed citations
5.
Mart, Matthew F., John W. Stokes, Matthew Bacchetta, et al.. (2020). Pneumomediastinum in Acute Respiratory Distress Syndrome from COVID-19. American Journal of Respiratory and Critical Care Medicine. 203(2). 237–238. 8 indexed citations
6.
Noto, Michael J., et al.. (2019). Time to First Culture Positivity Among Critically Ill Adults With Methicillin-Resistant Staphylococcus aureus Growth in Respiratory or Blood Cultures. Annals of Pharmacotherapy. 54(2). 131–137. 6 indexed citations
7.
Noto, Michael J., William J. Burns, William N. Beavers, & Eric P. Skaar. (2017). Mechanisms of Pyocyanin Toxicity and Genetic Determinants of Resistance in Staphylococcus aureus. Journal of Bacteriology. 199(17). 58 indexed citations
8.
Noto, Michael J., Kyle W. Becker, Kelli L. Boyd, Ann Marie Schmidt, & Eric P. Skaar. (2017). RAGE-Mediated Suppression of Interleukin-10 Results in Enhanced Mortality in a Murine Model of Acinetobacter baumannii Sepsis. Infection and Immunity. 85(3). 24 indexed citations
9.
Janz, David R., Matthew W. Semler, Robert J. Lentz, et al.. (2016). Randomized Trial of Video Laryngoscopy for Endotracheal Intubation of Critically Ill Adults*. Critical Care Medicine. 44(11). 1980–1987. 63 indexed citations
10.
Wakeman, Catherine A., Jessica L. Moore, Michael J. Noto, et al.. (2016). The innate immune protein calprotectin promotes Pseudomonas aeruginosa and Staphylococcus aureus interaction. Nature Communications. 7(1). 11951–11951. 107 indexed citations
11.
Semler, Matthew W., David R. Janz, Robert J. Lentz, et al.. (2015). Randomized Trial of Apneic Oxygenation during Endotracheal Intubation of the Critically Ill. American Journal of Respiratory and Critical Care Medicine. 193(3). 273–280. 132 indexed citations
12.
Noto, Michael J. & Arthur P. Wheeler. (2015). Understanding chlorhexidine decolonization strategies. Intensive Care Medicine. 41(7). 1351–1354. 4 indexed citations
13.
Noto, Michael J., Kelli L. Boyd, William J. Burns, et al.. (2015). Toll-Like Receptor 9 Contributes to Defense against Acinetobacter baumannii Infection. Infection and Immunity. 83(10). 4134–4141. 48 indexed citations
14.
Janz, David M., Matthew W. Semler, Robert J. Lentz, et al.. (2015). 845. Critical Care Medicine. 43. 212–213. 2 indexed citations
15.
Semler, Matthew W., Todd W. Rice, D Janz, Robert J. Lentz, & Michael J. Noto. (2015). 149. Critical Care Medicine. 43. 38–39. 5 indexed citations
16.
Noto, Michael J., Henry J. Domenico, Daniel W. Byrne, et al.. (2015). Chlorhexidine Bathing and Health Care–Associated Infections. JAMA. 313(4). 369–369. 121 indexed citations
17.
Hammer, Neal D., James E. Cassat, Michael J. Noto, et al.. (2014). Inter- and Intraspecies Metabolite Exchange Promotes Virulence of Antibiotic-Resistant Staphylococcus aureus. Cell Host & Microbe. 16(4). 531–537. 56 indexed citations
18.
19.
Priebe, Gregory P., Charles R. Dean, Tanweer Zaidi, et al.. (2004). The galU Gene of Pseudomonas aeruginosa Is Required for Corneal Infection and Efficient Systemic Spread following Pneumonia but Not for Infection Confined to the Lung. Infection and Immunity. 72(7). 4224–4232. 63 indexed citations
20.
Mancuso, Giuseppe, et al.. (1976). [Special uses of the thromboelastographic technic in the study and diagnosis of coagulopathies].. PubMed. 28(6). 335–40. 1 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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