William E. Sause
Impact in
- Infectious Diseases top 5%
- Antimicrobial Resistance in Staphylococcus
- Microbiology top 10%
- Antimicrobial Peptides and Activities
Papers in
-
- Antimicrobial Resistance in Staphylococcus 10
-
- Veterinary medicine and infectious diseases 3
- Co-authors
- Victor J. Torres (11 shared papers)Anthony Simon Lynch (3 shared papers)Peter T. Buckley (3 shared papers)William R. Strohl (2 shared papers)Karen M. Ottemann (5 shared papers)Andrea Castillo (3 shared papers)Divya Balasubramanian (3 shared papers)Beatrix M. Ueberheide (3 shared papers)
- Journals
- Infection and Immunity (5 papers)mBio (3 papers)Journal of Bacteriology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Science Translational Medicine (1 paper)
- Partner nations
- United StatesDenmarkHong Kong
In The Last Decade
William E. Sause
18 papers receiving 570 citations
Peers
Comparison fields: 5 of 77
- Infectious Diseases 309
- Microbiology 48
- Molecular Medicine 38
- Clinical Biochemistry 43
- Endocrinology 28
Countries citing papers authored by William E. Sause
This map shows the geographic impact of William E. Sause'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 William E. Sause with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William E. Sause more than expected).
Fields of papers citing papers by William E. Sause
This network shows the impact of papers produced by William E. Sause. 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 William E. Sause. The network helps show where William E. Sause may publish in the future.
Co-authors
The 25 scholars most cited alongside William E. Sause, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 91 | |
| 2 | 2018 | 77 | |
| 3 | 2019 | 63 | |
| 4 | 2017 | 59 | |
| 5 | 2019 | 59 | |
| 6 | 2018 | 53 | |
| 7 | 2018 | 34 | |
| 8 | 2008 | 29 | |
| 9 | 2018 | 26 | |
| 10 | 2019 | 23 | |
| 11 | 2012 | 21 | |
| 12 | 2012 | 19 | |
| 13 | 2017 | 9 | |
| 14 | 2018 | 8 | |
| 15 | 2016 | 5 | |
| 16 | 2024 | 5 | |
| 17 | 2017 | 1 | |
| 18 | 2020 | 1 |
About William E. Sause
William E. Sause is a scholar working on Infectious Diseases, Small Animals, Molecular Biology, Immunology and Clinical Biochemistry, having authored 18 papers that have together received 583 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (10 papers), Bacterial biofilms and quorum sensing (8 papers), Biochemical and Structural Characterization (4 papers), Helicobacter pylori-related gastroenterology studies (4 papers), Bacteriophages and microbial interactions (3 papers), Galectins and Cancer Biology (3 papers), Veterinary medicine and infectious diseases (3 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Infectious Diseases (309 citations), Microbiology (48 citations), Molecular Medicine (38 citations), Clinical Biochemistry (43 citations) and Endocrinology (28 citations). William E. Sause has collaborated with scholars based in United States, Denmark and Hong Kong. Frequent co-authors include Victor J. Torres, Anthony Simon Lynch, Peter T. Buckley, William R. Strohl, Karen M. Ottemann, Andrea Castillo, Divya Balasubramanian, Beatrix M. Ueberheide, Jeffrey M. Boyd and Bo Shopsin. Their work appears in journals such as Infection and Immunity, mBio, Journal of Bacteriology, Proceedings of the National Academy of Sciences and Science Translational Medicine.
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.