Michael J. Federle
- Molecular Biology top 5%
- Public Health, Environmental and Occupational Health top 0.5%
- Infectious Diseases top 1%
- Genetics top 2%
- Epidemiology top 5%
- Co-authors
- Breah LaSarreBonnie L. BasslerJune R. ScottLauren Mashburn‐WarrenDonald A. MorrisonMatthew B. NeiditchLaura C. CookJennifer C. Chang
- Topics
- Streptococcal Infections and Treatments (48 papers)Antimicrobial Resistance in Staphylococcus (38 papers)Neonatal and Maternal Infections (18 papers)
- Journals
- CellProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesFrancePoland
In The Last Decade
Michael J. Federle
69 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 2.5k
- Public Health, Environmental and Occupational Health 1.7k
- Infectious Diseases 1.5k
- Genetics 883
- Epidemiology 586
Countries citing papers authored by Michael J. Federle
This map shows the geographic impact of Michael J. Federle'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. Federle 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. Federle more than expected).
Fields of papers citing papers by Michael J. Federle
This network shows the impact of papers produced by Michael J. Federle. 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. Federle. The network helps show where Michael J. Federle may publish in the future.
Co-authorship network of co-authors of Michael J. Federle
This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Federle. A scholar is included among the top collaborators of Michael J. Federle 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. Federle. Michael J. Federle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 15 | |
| 11 | 10 | |
| 12 | 13 | |
| 13 | 34 | |
| 14 | 8 | |
| 15 | 23 | |
| 16 | 12 | |
| 17 | 12 | |
| 18 | 45 | |
| 19 | 144 | |
| 20 | Use of the Lactococcal nisA Promoter To Regulate Gene Expression in Gram-Positive Bacteria: Comparison of Induction Level and Promoter Strength | 3 |
About Michael J. Federle
Michael J. Federle is a scholar working on Infectious Diseases, Microbiology and Public Health, Environmental and Occupational Health, having authored 72 papers that have together received 4.6k indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (48 papers), Antimicrobial Resistance in Staphylococcus (38 papers) and Neonatal and Maternal Infections (18 papers). The work is most often cited by research in Endocrinology (546 citations), Periodontics (415 citations) and Infectious Diseases (1.5k citations). Michael J. Federle has collaborated with scholars based in United States, France and Poland. Frequent co-authors include Breah LaSarre, Bonnie L. Bassler, June R. Scott, Lauren Mashburn‐Warren, Donald A. Morrison, Matthew B. Neiditch, Laura C. Cook, Jennifer C. Chang, Kevin S. McIver and Chaitanya Aggarwal. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.