Dane Parker

5.2k total citations · 1 hit paper
76 papers, 3.8k citations indexed

About

Dane Parker is a scholar working on Immunology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Dane Parker has authored 76 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Immunology, 30 papers in Infectious Diseases and 24 papers in Molecular Biology. Recurrent topics in Dane Parker's work include Antimicrobial Resistance in Staphylococcus (26 papers), Immune Response and Inflammation (25 papers) and Antimicrobial Peptides and Activities (10 papers). Dane Parker is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (26 papers), Immune Response and Inflammation (25 papers) and Antimicrobial Peptides and Activities (10 papers). Dane Parker collaborates with scholars based in United States, Australia and Chile. Dane Parker's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Dane Parker

71 papers receiving 3.7k citations

Hit Papers

Clinical Impact of Staphylococcus aureus Skin and Soft Ti... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dane Parker United States 34 1.3k 1.2k 1.2k 729 472 76 3.8k
Han Sang Yoo South Korea 34 1.1k 0.8× 1.1k 0.9× 828 0.7× 741 1.0× 576 1.2× 256 4.5k
Tomonori Nochi Japan 36 1.6k 1.2× 972 0.8× 2.1k 1.8× 541 0.7× 236 0.5× 102 4.9k
Prosper N. Boyaka United States 36 934 0.7× 679 0.6× 1.5k 1.2× 549 0.8× 406 0.9× 98 3.6k
Jean‐Claude Sirard France 42 2.4k 1.8× 1.0k 0.8× 2.8k 2.3× 1.0k 1.4× 390 0.8× 107 6.3k
Fabiana Superti Italy 37 1.1k 0.8× 1.2k 1.0× 386 0.3× 829 1.1× 389 0.8× 138 3.9k
Peadar Ó Gaora Ireland 34 1.3k 1.0× 926 0.8× 898 0.8× 697 1.0× 421 0.9× 68 4.0k
Xianying Zeng China 39 874 0.7× 1.1k 0.9× 1.8k 1.5× 2.4k 3.2× 269 0.6× 109 4.4k
Seung Hyun Han South Korea 40 1.7k 1.3× 573 0.5× 1.8k 1.5× 844 1.2× 624 1.3× 170 5.4k
Marcel R. de Zoete Netherlands 34 3.0k 2.3× 930 0.8× 2.2k 1.8× 627 0.9× 368 0.8× 50 5.6k
Hitomi Mimuro Japan 36 2.3k 1.7× 712 0.6× 2.0k 1.7× 904 1.2× 215 0.5× 75 5.4k

Countries citing papers authored by Dane Parker

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Dane Parker

This figure shows the co-authorship network connecting the top 25 collaborators of Dane Parker. A scholar is included among the top collaborators of Dane Parker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dane Parker. Dane Parker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Wang, Hui & Dane Parker. (2025). Improved humanized mouse model of Staphylococcus aureus infection. Mucosal Immunology. 18(4). 911–917.
3.
Kim, Ji‐Sun, et al.. (2024). Monocyte-regulated interleukin 12 production drives clearance of Staphylococcus aureus. PLoS Pathogens. 20(10). e1012648–e1012648. 1 indexed citations
4.
Mattappallil, Arun, et al.. (2023). Clinical Impact of Staphylococcus aureus Skin and Soft Tissue Infections. Antibiotics. 12(3). 557–557. 123 indexed citations breakdown →
5.
Kim, Ji‐Sun, et al.. (2023). Impact of the pentose phosphate pathway on metabolism and pathogenesis of Staphylococcus aureus. PLoS Pathogens. 19(7). e1011531–e1011531. 23 indexed citations
6.
Akoolo, Lavoisier, Sílvia Pires, Ji‐Sun Kim, & Dane Parker. (2022). The Capsule of <b><i>Acinetobacter baumannii</i></b> Protects against the Innate Immune Response. Journal of Innate Immunity. 14(5). 543–554. 20 indexed citations
7.
Hooven, Thomas A., et al.. (2021). Growth and Stress Tolerance Comprise Independent Metabolic Strategies Critical for Staphylococcus aureus Infection. mBio. 12(3). e0081421–e0081421. 18 indexed citations
8.
Parker, Dane, et al.. (2021). Impact of Type I Interferons on Susceptibility to Bacterial Pathogens. Trends in Microbiology. 29(9). 823–835. 28 indexed citations
9.
Brittan, Jane L., Despoina A. I. Mavridou, Dane Parker, et al.. (2020). Staphylococcal DNA Repair Is Required for Infection. mBio. 11(6). 21 indexed citations
10.
Pires, Sílvia & Dane Parker. (2019). Innate Immune Responses to Acinetobacter baumannii in the Airway. Journal of Interferon & Cytokine Research. 39(8). 441–449. 16 indexed citations
11.
Pires, Sílvia, et al.. (2018). Inducible Costimulator Contributes to Methicillin-Resistant Staphylococcus aureus Pneumonia. The Journal of Infectious Diseases. 218(4). 659–668. 3 indexed citations
12.
Hook, Jaime L., Mohammad Naimul Islam, Dane Parker, et al.. (2018). Disruption of staphylococcal aggregation protects against lethal lung injury. Journal of Clinical Investigation. 128(3). 1074–1086. 37 indexed citations
13.
Wickersham, Matthew, Sarah Wachtel, Tania Wong Fok Lung, et al.. (2017). Metabolic Stress Drives Keratinocyte Defenses against Staphylococcus aureus Infection. Cell Reports. 18(11). 2742–2751. 77 indexed citations
14.
Parker, Dane. (2017). Humanized Mouse Models of Staphylococcus aureus Infection. Frontiers in Immunology. 8. 512–512. 36 indexed citations
15.
Parker, Dane & Alice Prince. (2016). Immunoregulatory effects of necroptosis in bacterial infections. Cytokine. 88. 274–275. 10 indexed citations
16.
Prince, Alice, Hui Wang, Kipyegon Kitur, & Dane Parker. (2016). Humanized Mice Exhibit Increased Susceptibility toStaphylococcus aureusPneumonia. The Journal of Infectious Diseases. 215(9). jiw425–jiw425. 53 indexed citations
17.
Parker, Dane, Chanelle Ryan, Francis Alonzo, et al.. (2014). CD4+ T Cells Promote the Pathogenesis of Staphylococcus aureus Pneumonia. The Journal of Infectious Diseases. 211(5). 835–845. 44 indexed citations
18.
Parker, Dane, et al.. (2013). Epithelial Uptake of Flagella Initiates Proinflammatory Signaling. PLoS ONE. 8(3). e59932–e59932. 19 indexed citations
19.
Parker, Dane, et al.. (2011). Induction of Type I Interferon Signaling by Pseudomonas aeruginosa Is Diminished in Cystic Fibrosis Epithelial Cells. American Journal of Respiratory Cell and Molecular Biology. 46(1). 6–13. 52 indexed citations
20.
Parker, Dane & Alice Prince. (2011). Innate Immunity in the Respiratory Epithelium. American Journal of Respiratory Cell and Molecular Biology. 45(2). 189–201. 336 indexed citations

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.

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