Michael R. Yeaman
- Molecular Biology top 0.5%
- Infectious Diseases top 0.05%
- Microbiology top 0.01%
- Epidemiology top 0.5%
- Immunology top 1%
- Co-authors
- Nannette Y. YountArnold S. BayerScott G. FillerYan Q. XiongAmbrose L. CheungJohn E. EdwardsMichael E. SelstedCynthia C. Nast
- Topics
- Antimicrobial Resistance in Staphylococcus (93 papers)Antimicrobial Peptides and Activities (54 papers)Streptococcal Infections and Treatments (45 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Michael R. Yeaman
193 papers receiving 14.7k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Molecular Biology 6.8k
- Infectious Diseases 6.2k
- Microbiology 5.4k
- Epidemiology 2.8k
- Immunology 2.3k
Countries citing papers authored by Michael R. Yeaman
This map shows the geographic impact of Michael R. Yeaman'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 R. Yeaman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael R. Yeaman more than expected).
Fields of papers citing papers by Michael R. Yeaman
This network shows the impact of papers produced by Michael R. Yeaman. 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 R. Yeaman. The network helps show where Michael R. Yeaman may publish in the future.
Co-authorship network of co-authors of Michael R. Yeaman
This figure shows the co-authorship network connecting the top 25 collaborators of Michael R. Yeaman. A scholar is included among the top collaborators of Michael R. Yeaman 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 R. Yeaman. Michael R. Yeaman 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 | 6 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 11 | |
| 8 | 7 | |
| 9 | Efficacy and safety of satralizumab in neuromyelitis optica spectrum disorder (NMOSD): Results from open-label extension periods of SAkuraSky and SAkuraStar | 1 |
| 10 | 6 | |
| 11 | 11 | |
| 12 | 28 | |
| 13 | 39 | |
| 14 | 44 | |
| 15 | 33 | |
| 16 | 78 | |
| 17 | 123 | |
| 18 | 464 | |
| 19 | 120 | |
| 20 | Diminished Virulence Of A Sar-lagr- Mutant Of Staphylococcus Aureus In The Rabbit Model Of Endocarditis | 3 |
About Michael R. Yeaman
Michael R. Yeaman is a scholar working on Microbiology, Infectious Diseases and Clinical Biochemistry, having authored 195 papers that have together received 15.0k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (93 papers), Antimicrobial Peptides and Activities (54 papers) and Streptococcal Infections and Treatments (45 papers). The work is most often cited by research in Microbiology (5.4k citations), Infectious Diseases (6.2k citations) and Molecular Medicine (1.0k citations). Michael R. Yeaman has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Nannette Y. Yount, Arnold S. Bayer, Scott G. Filler, Yan Q. Xiong, Ambrose L. Cheung, John E. Edwards, Michael E. Selsted, Cynthia C. Nast, Ashraf S. Ibrahim and Soo‐Jin Yang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.
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.