Kevin M. Oxley

430 total citations
9 papers, 357 citations indexed

About

Kevin M. Oxley is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Kevin M. Oxley has authored 9 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Epidemiology and 2 papers in Oncology. Recurrent topics in Kevin M. Oxley's work include Immune Response and Inflammation (2 papers), Reproductive tract infections research (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). Kevin M. Oxley is often cited by papers focused on Immune Response and Inflammation (2 papers), Reproductive tract infections research (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). Kevin M. Oxley collaborates with scholars based in United Kingdom, Hungary and Ireland. Kevin M. Oxley's co-authors include Eva E. Qwarnström, Endré Kiss-Toth, Steven Dower, David Wyllie, Tímea Polgár, Clare Dempsey, Mary T. Harte, Hye Youn Sung, Luke O'neill and A. Eley and has published in prestigious journals such as Journal of Biological Chemistry, Antimicrobial Agents and Chemotherapy and Biochemical Society Transactions.

In The Last Decade

Kevin M. Oxley

9 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin M. Oxley United Kingdom 6 153 144 80 77 40 9 357
Rachel A. Cleary United States 10 203 1.3× 110 0.8× 51 0.6× 139 1.8× 11 0.3× 13 571
R. H. Angeletti United States 8 171 1.1× 93 0.6× 134 1.7× 85 1.1× 23 0.6× 10 360
E Orino Japan 10 358 2.3× 100 0.7× 64 0.8× 178 2.3× 11 0.3× 10 580
Dalila Sekkaı̈ France 8 181 1.2× 38 0.3× 88 1.1× 87 1.1× 8 0.2× 9 437
Perumal Sivashanmugam United States 10 218 1.4× 27 0.2× 39 0.5× 103 1.3× 36 0.9× 10 513
Alice Shia United Kingdom 8 186 1.2× 44 0.3× 30 0.4× 143 1.9× 10 0.3× 12 388
Helen Kado‐Fong United States 10 139 0.9× 29 0.2× 81 1.0× 75 1.0× 19 0.5× 15 400
Maria Julia Diacovo United States 6 106 0.7× 31 0.2× 58 0.7× 137 1.8× 10 0.3× 11 349
Frank W. Rozsa United States 11 305 2.0× 144 1.0× 19 0.2× 14 0.2× 19 0.5× 17 616
Deborah Maret Canada 8 180 1.2× 109 0.8× 12 0.1× 30 0.4× 18 0.5× 9 340

Countries citing papers authored by Kevin M. Oxley

Since Specialization
Citations

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

Fields of papers citing papers by Kevin M. Oxley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin M. Oxley. 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 Kevin M. Oxley. The network helps show where Kevin M. Oxley may publish in the future.

Co-authorship network of co-authors of Kevin M. Oxley

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

All Works

9 of 9 papers shown
1.
Kiss-Toth, Endré, David Wyllie, Luke Marsden, et al.. (2006). Functional mapping and identification of novel regulators for the Toll/Interleukin-1 signalling network by transcription expression cloning. Cell Signal 18: 202-14. 2 indexed citations
2.
Kiss-Toth, Endré, David Wyllie, Luke Marsden, et al.. (2005). Functional mapping of Toll/interleukin-1 signalling networks by expression cloning. Biochemical Society Transactions. 33(6). 1405–1406. 10 indexed citations
3.
Kiss-Toth, Endré, David Wyllie, Luke Marsden, et al.. (2005). Functional mapping and identification of novel regulators for the Toll/Interleukin-1 signalling network by transcription expression cloning. Cellular Signalling. 18(2). 202–214. 41 indexed citations
4.
Kiss-Toth, Endré, Hye Youn Sung, Clare Dempsey, et al.. (2004). Human Tribbles, a Protein Family Controlling Mitogen-activated Protein Kinase Cascades. Journal of Biological Chemistry. 279(41). 42703–42708. 247 indexed citations
5.
Cross, Neil A., et al.. (1999). Antimicrobial Susceptibility Testing of Chlamydia trachomatis Using a Reverse Transcriptase PCR-Based Method. Antimicrobial Agents and Chemotherapy. 43(9). 2311–2313. 25 indexed citations
6.
Eley, A., et al.. (1992). Detection ofChlamydia trachomatis by the polymerase chain reaction in young patients with acute epididymitis. European Journal of Clinical Microbiology & Infectious Diseases. 11(7). 620–623. 22 indexed citations
7.
Hastings, J. G. M., et al.. (1989). Opsonophagocytosis of bacteria studied by chemiluminescence in microtitre plates. Journal of Bioluminescence and Chemiluminescence. 4(1). 267–271. 1 indexed citations
8.
Jennings, R., et al.. (1989). Effect of influenza A on phagocytic cell function. Medical Microbiology and Immunology. 178(4). 199–209. 5 indexed citations
9.
Monteiro, Éric, Kevin M. Oxley, G. Colman, & J. G. M. Hastings. (1988). Patterns of carriage of group B streptococci in genitourinary medicine clinic patients.. Sexually Transmitted Infections. 64(6). 387–390. 4 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026