Alan M. O’Neill

1.8k total citations
17 papers, 927 citations indexed

About

Alan M. O’Neill is a scholar working on Dermatology, Molecular Biology and Cell Biology. According to data from OpenAlex, Alan M. O’Neill has authored 17 papers receiving a total of 927 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Dermatology, 6 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Alan M. O’Neill's work include Dermatology and Skin Diseases (8 papers), Acne and Rosacea Treatments and Effects (8 papers) and melanin and skin pigmentation (3 papers). Alan M. O’Neill is often cited by papers focused on Dermatology and Skin Diseases (8 papers), Acne and Rosacea Treatments and Effects (8 papers) and melanin and skin pigmentation (3 papers). Alan M. O’Neill collaborates with scholars based in United States, Japan and Australia. Alan M. O’Neill's co-authors include Richard L. Gallo, Teruaki Nakatsuji, James Sanford, Michael R. Williams, Alexander R. Horswill, Christos C. Zouboulis, Marc C. Liggins, Teresa L. M. Thurston, Laura Cau and David W. Holden and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Alan M. O’Neill

17 papers receiving 909 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alan M. O’Neill United States 13 588 215 127 118 90 17 927
Anna M. Butcher United States 9 487 0.8× 177 0.8× 109 0.9× 63 0.5× 196 2.2× 12 733
James Sanford United States 17 738 1.3× 463 2.2× 168 1.3× 275 2.3× 188 2.1× 26 1.4k
Jay‐Hyun Jo United States 15 660 1.1× 346 1.6× 205 1.6× 251 2.1× 290 3.2× 20 1.3k
Itaru Dekio Japan 15 493 0.8× 129 0.6× 122 1.0× 48 0.4× 163 1.8× 34 710
Alexander Roeder Germany 7 299 0.5× 171 0.8× 119 0.9× 170 1.4× 17 0.2× 7 745
Anna Andersson Sweden 12 280 0.5× 112 0.5× 146 1.1× 171 1.4× 218 2.4× 18 716
Emma Barnard United Kingdom 19 894 1.5× 267 1.2× 314 2.5× 59 0.5× 23 0.3× 28 1.4k
B. Capitanio Italy 16 518 0.9× 91 0.4× 83 0.7× 79 0.7× 156 1.7× 23 781
Iman Salem United States 7 308 0.5× 271 1.3× 283 2.2× 89 0.8× 43 0.5× 13 911
Sara K. B. Cassidy United States 4 332 0.6× 130 0.6× 78 0.6× 91 0.8× 176 2.0× 4 526

Countries citing papers authored by Alan M. O’Neill

Since Specialization
Citations

This map shows the geographic impact of Alan M. O’Neill'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 Alan M. O’Neill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan M. O’Neill more than expected).

Fields of papers citing papers by Alan M. O’Neill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan M. O’Neill. 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 Alan M. O’Neill. The network helps show where Alan M. O’Neill may publish in the future.

Co-authorship network of co-authors of Alan M. O’Neill

This figure shows the co-authorship network connecting the top 25 collaborators of Alan M. O’Neill. A scholar is included among the top collaborators of Alan M. O’Neill 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 Alan M. O’Neill. Alan M. O’Neill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Cavagnero, Kellen, Fengwu Li, Tatsuya Dokoshi, et al.. (2024). CXCL12+ dermal fibroblasts promote neutrophil recruitment and host defense by recognition of IL-17. The Journal of Experimental Medicine. 221(4). 21 indexed citations
2.
O’Neill, Alan M., Kellen Cavagnero, Jason S. Seidman, et al.. (2023). Genetic and Functional Analyses of Cutibacterium Acnes Isolates Reveal the Association of a Linear Plasmid with Skin Inflammation. Journal of Investigative Dermatology. 144(1). 116–124.e4. 9 indexed citations
3.
Cau, Laura, Kellen Cavagnero, Alan M. O’Neill, et al.. (2023). Commensal Cutibacterium acnes induce epidermal lipid synthesis important for skin barrier function. Science Advances. 9(33). eadg6262–eadg6262. 73 indexed citations
4.
Nakatsuji, Teruaki, S. Brinton, Kellen Cavagnero, et al.. (2023). Competition between skin antimicrobial peptides and commensal bacteria in type 2 inflammation enables survival of S. aureus. Cell Reports. 42(5). 112494–112494. 25 indexed citations
5.
O’Neill, Alan M., Marc C. Liggins, Jason S. Seidman, et al.. (2022). Antimicrobial production by perifollicular dermal preadipocytes is essential to the pathophysiology of acne. Science Translational Medicine. 14(632). eabh1478–eabh1478. 46 indexed citations
6.
Kulkarni, Nikhil N, et al.. (2021). Sequence determinants in the cathelicidin LL-37 that promote inflammation via presentation of RNA to scavenger receptors. Journal of Biological Chemistry. 297(1). 100828–100828. 12 indexed citations
7.
O’Neill, Alan M., Kate A. Worthing, Nikhil N Kulkarni, et al.. (2021). Antimicrobials from a feline commensal bacterium inhibit skin infection by drug-resistant S. pseudintermedius. eLife. 10. 18 indexed citations
8.
Nakamura, Kouki, Alan M. O’Neill, Michael R. Williams, et al.. (2020). Short chain fatty acids produced by Cutibacterium acnes inhibit biofilm formation by Staphylococcus epidermidis. Scientific Reports. 10(1). 21237–21237. 69 indexed citations
9.
O’Neill, Alan M., Teruaki Nakatsuji, Michael R. Williams, et al.. (2020). Identification of a Human Skin Commensal Bacterium that Selectively Kills Cutibacterium acnes. Journal of Investigative Dermatology. 140(8). 1619–1628.e2. 60 indexed citations
10.
O’Neill, Alan M., et al.. (2020). 598 Identification of a human skin commensal bacterium that selectively kills cutibacterium acnes. Journal of Investigative Dermatology. 140(7). S81–S81. 3 indexed citations
11.
Williams, Michael R., Lívia S. Zaramela, Shadi Khalil, et al.. (2019). Quorum sensing between bacterial species on the skin protects against epidermal injury in atopic dermatitis. Science Translational Medicine. 11(490). 198 indexed citations
12.
Sanford, James, Alan M. O’Neill, Christos C. Zouboulis, & Richard L. Gallo. (2019). Short-Chain Fatty Acids from Cutibacterium acnes Activate Both a Canonical and Epigenetic Inflammatory Response in Human Sebocytes. The Journal of Immunology. 202(6). 1767–1776. 86 indexed citations
13.
O’Neill, Alan M. & Richard L. Gallo. (2018). Host-microbiome interactions and recent progress into understanding the biology of acne vulgaris. Microbiome. 6(1). 177–177. 203 indexed citations
14.
O’Neill, Alan M., et al.. (2017). IFNβ Protects Neurons from Damage in a Murine Model of HIV-1 Associated Brain Injury. Scientific Reports. 7(1). 46514–46514. 35 indexed citations
15.
O’Neill, Alan M., Teresa L. M. Thurston, & David W. Holden. (2016). Cytosolic Replication of Group A Streptococcus in Human Macrophages. mBio. 7(2). e00020–16. 49 indexed citations
16.
Olson, Matthew T., Colleen T. Harrington, Katie Beierl, et al.. (2014). BRAF Pyrosequencing Analysis Aided by a Lookup Table. American Journal of Clinical Pathology. 141(5). 639–647. 4 indexed citations
17.
Chen, Guoli, Matthew T. Olson, Alan M. O’Neill, et al.. (2012). A Virtual Pyrogram Generator to Resolve Complex Pyrosequencing Results. Journal of Molecular Diagnostics. 14(2). 149–159. 16 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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