Dane Parker
Impact in
- Microbiology top 0.5%
- Antimicrobial Peptides and Activities
- Infectious Diseases top 2%
- Antimicrobial Resistance in Staphylococcus
- Clostridium difficile and Clostridium perfringens research
Papers in
-
- Antimicrobial Resistance in Staphylococcus 28
- Immunology 34
- Immune Response and Inflammation 23
- Co-authors
- Alice S. Prince (30 shared papers)Grace Soong (11 shared papers)Julian I. Rood (7 shared papers)Paul Joseph Planet (9 shared papers)Taylor S. Cohen (6 shared papers)Sarah Wachtel (5 shared papers)Mark E Ford (1 shared paper)Antonio Di Rubbo (1 shared paper)
- Journals
- The Journal of Infectious Diseases (7 papers)PLoS Pathogens (7 papers)mBio (7 papers)Journal of Bacteriology (5 papers)Infection and Immunity (4 papers)
- Partner nations
- United StatesAustraliaChile
In The Last Decade
Dane Parker
82 papers receiving 4.1k citations
Dane Parker's Hit Papers
Peers
Comparison fields: 5 of 133
- Microbiology 503
- Infectious Diseases 1.3k
- Immunology 1.2k
- Molecular Medicine 235
- Endocrinology 181
Countries citing papers authored by Dane Parker
This map shows the geographic impact of Dane Parker'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 Dane Parker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dane Parker more than expected).
Fields of papers citing papers by Dane Parker
This network shows the impact of papers produced by Dane Parker. 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 Dane Parker. The network helps show where Dane Parker may publish in the future.
Co-authors
The 25 scholars most cited alongside Dane Parker, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 517 | |
| 2 | 2011 | 365 | |
| 3 | 2015 | 230 | |
| 4 | 2016 | 153 | |
| 5 | Clinical Impact of Staphylococcus aureus Skin and Soft Tissue Infections Hit paper breakdown → | 2023 | 153 |
| 6 | 2009 | 137 | |
| 7 | 2011 | 131 | |
| 8 | 2011 | 125 | |
| 9 | 2012 | 110 | |
| 10 | 1999 | 106 | |
| 11 | 2010 | 101 | |
| 12 | 2014 | 98 | |
| 13 | 2016 | 97 | |
| 14 | 2017 | 85 | |
| 15 | 2015 | 85 | |
| 16 | 2007 | 82 | |
| 17 | 2019 | 79 | |
| 18 | 1999 | 78 | |
| 19 | 2012 | 70 | |
| 20 | 2011 | 59 |
About Dane Parker
Dane Parker is a scholar working on Infectious Diseases, Immunology, Microbiology, Epidemiology and Molecular Medicine, having authored 85 papers that have together received 4.2k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (28 papers), Immune Response and Inflammation (23 papers), Bacterial biofilms and quorum sensing (14 papers), Antimicrobial Peptides and Activities (11 papers), Bacterial Genetics and Biotechnology (7 papers), Streptococcal Infections and Treatments (7 papers), Antibiotic Resistance in Bacteria (6 papers) and Gut microbiota and health (5 papers). The work is most often cited by research in Microbiology (503 citations), Infectious Diseases (1.3k citations), Immunology (1.2k citations), Molecular Medicine (235 citations) and Endocrinology (181 citations). Dane Parker has collaborated with scholars based in United States, Australia and Chile. Frequent co-authors include Alice S. Prince, Grace Soong, Julian I. Rood, Paul Joseph Planet, Taylor S. Cohen, Sarah Wachtel, Mark E Ford, Antonio Di Rubbo, Anthony L. Keyburn and Paola K. Vaz. Their work appears in journals such as The Journal of Infectious Diseases, PLoS Pathogens, mBio, Journal of Bacteriology and Infection and Immunity.
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.