Niles P. Donegan
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria 2
- Infectious Diseases top 2%
- Antimicrobial Resistance in Staphylococcus 24
- Endocrinology top 2%
- Microbiology top 2%
- Antimicrobial Peptides and Activities 3
- Genetics top 5%
- Bacterial Genetics and Biotechnology 13
-
- Bacterial biofilms and quorum sensing 20
- Biochemical and Structural Characterization 6
-
- Microbial Metabolism and Applications 3
-
- Infective Endocarditis Diagnosis and Management 3
- Co-authors
- Ambrose L. CheungZhibiao FuGeorge A. O’TooleRobert M. Q. ShanksAutumn Brown GandtBrian P. ConlonSarah E. RoweKim Lewis
- Journals
- Journal of Biological Chemistry (1 paper)PLoS ONE (1 paper)Journal of Bacteriology (6 papers)
- Partner nations
- United StatesSouth KoreaSwitzerland
In The Last Decade
Niles P. Donegan
28 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Molecular Medicine 353
- Infectious Diseases 862
- Endocrinology 205
- Microbiology 231
- Genetics 597
Countries citing papers authored by Niles P. Donegan
This map shows the geographic impact of Niles P. Donegan'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 Niles P. Donegan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niles P. Donegan more than expected).
Fields of papers citing papers by Niles P. Donegan
This network shows the impact of papers produced by Niles P. Donegan. 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 Niles P. Donegan. The network helps show where Niles P. Donegan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Niles P. Donegan, 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 | 2021 | 9 | |
| 2 | 2021 | 9 | |
| 3 | 2019 | 61 | |
| 4 | 2018 | 38 | |
| 5 | 2017 | 19 | |
| 6 | Persister formation in Staphylococcus aureus is associated with ATP depletionbreakdown → | 2016 | 472 |
| 7 | 2016 | 28 | |
| 8 | 2015 | 19 | |
| 9 | 2015 | 30 | |
| 10 | 2014 | 40 | |
| 11 | 2011 | 4 | |
| 12 | 2010 | 56 | |
| 13 | 2009 | 173 | |
| 14 | 2009 | 104 | |
| 15 | Confinement-induced quorum sensing of individual Staphylococcus aureus bacteria. Nat Chem Biol | 2009 | 0 |
| 16 | 2009 | 66 | |
| 17 | 2008 | 69 | |
| 18 | 2007 | 70 | |
| 19 | 2004 | 28 | |
| 20 | 1998 | 51 |
About Niles P. Donegan
Niles P. Donegan is a scholar working on Infectious Diseases, Microbiology and Genetics, having authored 29 papers that have together received 2.0k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (24 papers), Bacterial biofilms and quorum sensing (20 papers), Bacterial Genetics and Biotechnology (13 papers), Biochemical and Structural Characterization (6 papers), Microbial Metabolism and Applications (3 papers), Infective Endocarditis Diagnosis and Management (3 papers), Antimicrobial Peptides and Activities (3 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Molecular Medicine (353 citations), Infectious Diseases (862 citations) and Endocrinology (205 citations). Niles P. Donegan has collaborated with scholars based in United States, South Korea and Switzerland. Frequent co-authors include Ambrose L. Cheung, Zhibiao Fu, George A. O’Toole, Robert M. Q. Shanks, Autumn Brown Gandt, Brian P. Conlon, Sarah E. Rowe, Kim Lewis, Eliza A. Zalis and Gérémy Clair. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Bacteriology.
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.