Michael J. Noto
- Molecular Biology
- Infectious Diseases top 5%
- Pulmonary and Respiratory Medicine top 10%
- Clinical Biochemistry top 2%
- Anesthesiology and Pain Medicine top 2%
- Co-authors
- Gordon L. ArcherEric P. SkaarTodd W. RiceRichard M. CaprioliJessica L. MooreMark C. EnrightWilliam A. CraigAdriana E. Rosato
- Topics
- Bacterial biofilms and quorum sensing (6 papers)Vibrio bacteria research studies (5 papers)Antimicrobial Resistance in Staphylococcus (5 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Michael J. Noto
30 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 523
- Infectious Diseases 461
- Pulmonary and Respiratory Medicine 221
- Clinical Biochemistry 188
- Anesthesiology and Pain Medicine 177
Countries citing papers authored by Michael J. Noto
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 8 | |
| 6 | 6 | |
| 7 | 58 | |
| 8 | 24 | |
| 9 | 63 | |
| 10 | 107 | |
| 11 | 132 | |
| 12 | 4 | |
| 13 | 48 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 121 | |
| 17 | 56 | |
| 18 | 41 | |
| 19 | 63 | |
| 20 | [Special uses of the thromboelastographic technic in the study and diagnosis of coagulopathies]. | 1 |
About Michael J. Noto
Michael J. Noto is a scholar working on Endocrinology, Molecular Medicine and Clinical Biochemistry, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (6 papers), Vibrio bacteria research studies (5 papers) and Antimicrobial Resistance in Staphylococcus (5 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (177 citations), Clinical Biochemistry (188 citations) and Molecular Medicine (127 citations). Michael J. Noto has collaborated with scholars based in United States, United Kingdom and France. Frequent 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. Their work appears in journals such as JAMA, Nature Communications and The Journal of Immunology.
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.