Michael J. Rybak
- Infectious Diseases top 5%
- Molecular Medicine top 2%
- Molecular Biology
- Pharmacology top 10%
- Clinical Biochemistry top 5%
- Co-authors
- Linda DresserRonda L. AkinsDana HolgerAmer El GhaliNicholas ReboldAshlan J. Kunz CoyneTaylor MorrisettePeggy S. McKinnon
- Topics
- Antimicrobial Resistance in Staphylococcus (7 papers)Antibiotics Pharmacokinetics and Efficacy (6 papers)Antibiotic Resistance in Bacteria (6 papers)
- Partner nations
- United StatesSingaporeUnited Kingdom
In The Last Decade
Michael J. Rybak
17 papers receiving 585 citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Infectious Diseases 269
- Molecular Medicine 181
- Molecular Biology 168
- Pharmacology 161
- Clinical Biochemistry 130
Countries citing papers authored by Michael J. Rybak
This map shows the geographic impact of Michael J. Rybak'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. Rybak 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. Rybak more than expected).
Fields of papers citing papers by Michael J. Rybak
This network shows the impact of papers produced by Michael J. Rybak. 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. Rybak. The network helps show where Michael J. Rybak may publish in the future.
Co-authorship network of co-authors of Michael J. Rybak
This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Rybak. A scholar is included among the top collaborators of Michael J. Rybak 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. Rybak. Michael J. Rybak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 10 | |
| 6 | 5 | |
| 7 | Therapeutic Strategies for Emerging Multidrug-Resistant Pseudomonas aeruginosabreakdown → | 162 |
| 8 | 12 | |
| 9 | 19 | |
| 10 | 51 | |
| 11 | 21 | |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 5 | |
| 15 | 93 | |
| 16 | 20 | |
| 17 | 65 | |
| 18 | 130 |
About Michael J. Rybak
Michael J. Rybak is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Infectious Diseases, having authored 18 papers that have together received 610 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (7 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers) and Antibiotic Resistance in Bacteria (6 papers). The work is most often cited by research in Molecular Medicine (181 citations), Applied Microbiology and Biotechnology (65 citations) and Clinical Biochemistry (130 citations). Michael J. Rybak has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Linda Dresser, Ronda L. Akins, Dana Holger, Amer El Ghali, Nicholas Rebold, Ashlan J. Kunz Coyne, Taylor Morrisette, Peggy S. McKinnon, Melinda M. Neuhauser and Jacinda C. Abdul‐Mutakabbir. Their work appears in journals such as Clinical Infectious Diseases, Antimicrobial Agents and Chemotherapy and Drugs.
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.