Dane Parker
- Microbiology top 0.5%
- Antimicrobial Peptides and Activities 10
- Infectious Diseases top 1%
- Antimicrobial Resistance in Staphylococcus 26
- Immunology top 2%
- Immune Response and Inflammation 25
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 5
- Endocrinology top 5%
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- Bacterial biofilms and quorum sensing 9
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- Streptococcal Infections and Treatments 7
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- Mycobacterium research and diagnosis 5
- Pneumonia and Respiratory Infections 5
- Co-authors
- Alice PrinceGrace SoongJulian I. RoodPaul J. PlanetTaylor S. CohenRobert J. MooreJohn D. BoyceTrudi L. Bannam
- Partner nations
- United StatesAustraliaChile
In The Last Decade
Dane Parker
71 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Microbiology 472
- Infectious Diseases 1.2k
- Immunology 1.2k
- Molecular Medicine 230
- Endocrinology 168
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | Clinical Impact of Staphylococcus aureus Skin and Soft Tissue Infectionsbreakdown → | 2023 | 123 |
| 5 | 2023 | 23 | |
| 6 | 2022 | 20 | |
| 7 | 2021 | 18 | |
| 8 | 2021 | 28 | |
| 9 | 2020 | 21 | |
| 10 | 2019 | 16 | |
| 11 | 2018 | 3 | |
| 12 | 2018 | 37 | |
| 13 | 2017 | 77 | |
| 14 | 2017 | 36 | |
| 15 | 2016 | 10 | |
| 16 | 2016 | 53 | |
| 17 | 2014 | 44 | |
| 18 | 2013 | 19 | |
| 19 | 2011 | 52 | |
| 20 | 2011 | 336 |
About Dane Parker
Dane Parker is a scholar working on Microbiology, Immunology, Infectious Diseases, Molecular Medicine and Epidemiology, having authored 76 papers that have together received 3.8k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (26 papers), Immune Response and Inflammation (25 papers), Antimicrobial Peptides and Activities (10 papers), Bacterial biofilms and quorum sensing (9 papers), Streptococcal Infections and Treatments (7 papers), Mycobacterium research and diagnosis (5 papers), Pneumonia and Respiratory Infections (5 papers) and Antibiotic Resistance in Bacteria (5 papers). The work is most often cited by research in Microbiology (472 citations), Infectious Diseases (1.2k citations), Immunology (1.2k citations), Molecular Medicine (230 citations) and Endocrinology (168 citations). Dane Parker has collaborated with scholars based in United States, Australia and Chile. Frequent co-authors include Alice Prince, Grace Soong, Julian I. Rood, Paul J. Planet, Taylor S. Cohen, Robert J. Moore, John D. Boyce, Trudi L. Bannam, Paola K. Vaz and Antonio Di Rubbo. Their work appears in journals such as PLoS Pathogens, mBio, The Journal of Infectious Diseases, Infection and Immunity 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.