Chad W. Euler
Impact in
- Ecology top 1%
- Bacteriophages and microbial interactions
Papers in
- Ecology 17
- Bacteriophages and microbial interactions 17
-
- Antimicrobial Resistance in Staphylococcus 5
- Co-authors
- Vincent A. Fischetti (23 shared papers)Mark Jay Shlomchik (5 shared papers)Jacqueline William (5 shared papers)Sean R. Christensen (1 shared paper)Luciano A. Marraffini (2 shared papers)Xavier Duportet (1 shared paper)David Bikard (1 shared paper)Gregory W. Goldberg (1 shared paper)
- Journals
- Antimicrobial Agents and Chemotherapy (11 papers)PLoS ONE (4 papers)The Journal of Immunology (3 papers)Frontiers in Microbiology (1 paper)Antibiotics (1 paper)
- Partner nations
- United StatesChinaSpain
In The Last Decade
Chad W. Euler
34 papers receiving 3.2k citations
Chad W. Euler's Hit Papers
Peers
Comparison fields: 5 of 84
- Ecology 1.5k
- Applied Microbiology and Biotechnology 70
- Molecular Medicine 188
- Microbiology 131
- Rheumatology 250
Countries citing papers authored by Chad W. Euler
This map shows the geographic impact of Chad W. Euler'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 Chad W. Euler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad W. Euler more than expected).
Fields of papers citing papers by Chad W. Euler
This network shows the impact of papers produced by Chad W. Euler. 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 Chad W. Euler. The network helps show where Chad W. Euler may publish in the future.
Co-authors
The 25 scholars most cited alongside Chad W. Euler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Exploiting CRISPR-Cas nucleases to produce sequence-specific antimicrobials Hit paper breakdown → | 2014 | 793 |
| 2 | 2002 | 459 | |
| 3 | 2015 | 227 | |
| 4 | 2010 | 209 | |
| 5 | 2013 | 192 | |
| 6 | 2010 | 158 | |
| 7 | 2016 | 123 | |
| 8 | 2020 | 110 | |
| 9 | 2015 | 105 | |
| 10 | 2019 | 96 | |
| 11 | 2019 | 95 | |
| 12 | 2005 | 82 | |
| 13 | 2018 | 60 | |
| 14 | 2021 | 58 | |
| 15 | 2015 | 51 | |
| 16 | 2014 | 46 | |
| 17 | 2023 | 42 | |
| 18 | 2013 | 40 | |
| 19 | 2020 | 40 | |
| 20 | 2006 | 39 |
About Chad W. Euler
Chad W. Euler is a scholar working on Ecology, Infectious Diseases, Immunology, Rheumatology and Microbiology, having authored 35 papers that have together received 3.3k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (17 papers), T-cell and B-cell Immunology (6 papers), Antimicrobial Resistance in Staphylococcus (5 papers), CRISPR and Genetic Engineering (5 papers), Streptococcal Infections and Treatments (4 papers), Antimicrobial Peptides and Activities (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Ecology (1.5k citations), Applied Microbiology and Biotechnology (70 citations), Molecular Medicine (188 citations), Microbiology (131 citations) and Rheumatology (250 citations). Chad W. Euler has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Vincent A. Fischetti, Mark Jay Shlomchik, Jacqueline William, Sean R. Christensen, Luciano A. Marraffini, Xavier Duportet, David Bikard, Gregory W. Goldberg, Wenyan Jiang and Peter Chahales. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, PLoS ONE, The Journal of Immunology, Frontiers in Microbiology and Antibiotics.
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.