Nathan K. Archer

3.7k total citations · 1 hit paper
43 papers, 2.0k citations indexed

About

Nathan K. Archer is a scholar working on Immunology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Nathan K. Archer has authored 43 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Immunology, 15 papers in Infectious Diseases and 14 papers in Molecular Biology. Recurrent topics in Nathan K. Archer's work include Antimicrobial Resistance in Staphylococcus (14 papers), Dermatology and Skin Diseases (13 papers) and Immune Response and Inflammation (12 papers). Nathan K. Archer is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (14 papers), Dermatology and Skin Diseases (13 papers) and Immune Response and Inflammation (12 papers). Nathan K. Archer collaborates with scholars based in United States, Germany and China. Nathan K. Archer's co-authors include Mark E. Shirtliff, J. William Costerton, Jeff G. Leid, Lloyd Miller, Janette M. Harro, Robert J. Miller, Roger V. Ortines, Yu Wang, Carly Dillen and Alyssa G. Ashbaugh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Immunity.

In The Last Decade

Nathan K. Archer

41 papers receiving 2.0k citations

Hit Papers

Staphylococcus aureusbiofilms 2011 2026 2016 2021 2011 250 500 750

Peers

Nathan K. Archer
John S. Cho United States
Nathan K. Archer
Citations per year, relative to Nathan K. Archer Nathan K. Archer (= 1×) peers John S. Cho

Countries citing papers authored by Nathan K. Archer

Since Specialization
Citations

This map shows the geographic impact of Nathan K. Archer'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 Nathan K. Archer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan K. Archer more than expected).

Fields of papers citing papers by Nathan K. Archer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan K. Archer. 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 Nathan K. Archer. The network helps show where Nathan K. Archer may publish in the future.

Co-authorship network of co-authors of Nathan K. Archer

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan K. Archer. A scholar is included among the top collaborators of Nathan K. Archer 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 Nathan K. Archer. Nathan K. Archer 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.
Dikeman, Dustin, Christine Youn, Yu Wang, et al.. (2025). Epicutaneous Staphylococcus aureus initiates cross-tissue IL-36R signaling for neutrophilic lung inflammation in a model of the atopic march. Cell Reports. 44(8). 116054–116054.
2.
Wu, Meng-Chen, Christine Youn, Dustin Dikeman, et al.. (2024). Staphylococcus aureus proteases trigger eosinophil-mediated skin inflammation. Proceedings of the National Academy of Sciences. 121(6). e2309243121–e2309243121. 15 indexed citations
3.
Archer, Nathan K., et al.. (2024). Staphylococcus aureus Proteases: Orchestrators of Skin Inflammation. DNA and Cell Biology. 43(10). 483–491. 4 indexed citations
4.
Youn, Christine, Yu Wang, Dustin Dikeman, et al.. (2023). Neutrophil-intrinsic TNF receptor signaling orchestrates host defense against Staphylococcus aureus. Science Advances. 9(24). eadf8748–eadf8748. 15 indexed citations
5.
Perdomo‐Pantoja, Alexander, Brendan F. Judy, Dustin Dikeman, et al.. (2023). A novel rodent model of chronic spinal implant-associated infection. The Spine Journal. 23(9). 1389–1399. 1 indexed citations
6.
Nolan, Sabrina & Nathan K. Archer. (2023). From top to bottom: Staphylococci in atopic dermatitis. Cell Host & Microbe. 31(4). 573–575. 3 indexed citations
7.
Wang, Yu, et al.. (2023). γδ T cell-intrinsic IL-1R promotes survival during Staphylococcus aureus bacteremia. Frontiers in Immunology. 14. 1171934–1171934. 3 indexed citations
8.
Luo, Xiaoyan, Jingsi Chen, Huan Yang, et al.. (2022). Dendritic cell immunoreceptor drives atopic dermatitis by modulating oxidized CaMKII-involved mast cell activation. JCI Insight. 7(5). 23 indexed citations
9.
Sutaria, Nishadh, Martin P. Alphonse, Youkyung S. Roh, et al.. (2022). Cutaneous Transcriptomics Identifies Fibroproliferative and Neurovascular Gene Dysregulation in Prurigo Nodularis Compared with Psoriasis and Atopic Dermatitis. Journal of Investigative Dermatology. 142(9). 2537–2540. 29 indexed citations
10.
Lung, Tania Wong Fok, Liana C. Chan, Alice Prince, et al.. (2022). Staphylococcus aureus adaptive evolution: Recent insights on how immune evasion, immunometabolic subversion and host genetics impact vaccine development. Frontiers in Cellular and Infection Microbiology. 12. 1060810–1060810. 19 indexed citations
11.
Sutaria, Nishadh, Martin P. Alphonse, Varsha Parthasarathy, et al.. (2021). Cluster Analysis of Circulating Plasma Biomarkers in Prurigo Nodularis Reveals a Distinct Systemic Inflammatory Signature in African Americans. Journal of Investigative Dermatology. 142(5). 1300–1308.e3. 26 indexed citations
12.
Wier, Eric M., Mayumi Asada, Gaofeng Wang, et al.. (2021). Neutrophil extracellular traps impair regeneration. Journal of Cellular and Molecular Medicine. 25(21). 10008–10019. 13 indexed citations
13.
Alphonse, Martin P., Roger V. Ortines, Aman M. Patel, et al.. (2021). Pan-caspase inhibition as a potential host-directed immunotherapy against MRSA and other bacterial skin infections. Science Translational Medicine. 13(601). 33 indexed citations
14.
Ravipati, Advaitaa, Sabrina Nolan, Martin P. Alphonse, et al.. (2021). IL-6R/Signal Transducer and Activator of Transcription 3 Signaling in Keratinocytes rather than in T Cells Induces Psoriasis-Like Dermatitis in Mice. Journal of Investigative Dermatology. 142(4). 1126–1135.e4. 31 indexed citations
15.
Herster, Franziska, Zsofia Bittner, Nathan K. Archer, et al.. (2020). Neutrophil extracellular trap-associated RNA and LL37 enable self-amplifying inflammation in psoriasis. Nature Communications. 11(1). 105–105. 191 indexed citations
16.
Archer, Nathan K., et al.. (2020). Which Way Do We Go? Complex Interactions in Atopic Dermatitis Pathogenesis. Journal of Investigative Dermatology. 141(2). 274–284. 44 indexed citations
17.
Liu, Haiyun, Nathan K. Archer, Carly Dillen, et al.. (2017). Staphylococcus aureus Epicutaneous Exposure Drives Skin Inflammation via IL-36-Mediated T Cell Responses. Cell Host & Microbe. 22(5). 653–666.e5. 194 indexed citations
18.
Malhotra, Deepali, Juhan Yoon, Juan Manuel Leyva-Castillo, et al.. (2016). IL-22 derived from γδ T cells restricts Staphylococcus aureus infection of mechanically injured skin. Journal of Allergy and Clinical Immunology. 138(4). 1098–1107.e3. 44 indexed citations
19.
Archer, Nathan K., et al.. (2011). Staphylococcus aureusbiofilms. Virulence. 2(5). 445–459. 751 indexed citations breakdown →
20.
Harro, Janette M., Brian M. Peters, Graeme A. O’May, et al.. (2010). Vaccine development inStaphylococcus aureus: taking the biofilm phenotype into consideration. FEMS Immunology & Medical Microbiology. 59(3). 306–323. 85 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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