Paul Stoodley

40.5k total citations · 14 hit papers
262 papers, 29.5k citations indexed

About

Paul Stoodley is a scholar working on Molecular Biology, Surgery and Periodontics. According to data from OpenAlex, Paul Stoodley has authored 262 papers receiving a total of 29.5k indexed citations (citations by other indexed papers that have themselves been cited), including 163 papers in Molecular Biology, 65 papers in Surgery and 41 papers in Periodontics. Recurrent topics in Paul Stoodley's work include Bacterial biofilms and quorum sensing (155 papers), Orthopedic Infections and Treatments (52 papers) and Oral microbiology and periodontitis research (41 papers). Paul Stoodley is often cited by papers focused on Bacterial biofilms and quorum sensing (155 papers), Orthopedic Infections and Treatments (52 papers) and Oral microbiology and periodontitis research (41 papers). Paul Stoodley collaborates with scholars based in United States, United Kingdom and Germany. Paul Stoodley's co-authors include Luanne Hall‐Stoodley, J. William Costerton, J. W. Costerton, Karin Sauer, Dirk de Beer, Zbigniew Lewandowski, Christoph A. Fux, David G. Davies, Philip S. Stewart and Hilary Lappin‐Scott and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Paul Stoodley

261 papers receiving 28.6k citations

Hit Papers

Bacterial biofilms: from ... 1994 2026 2004 2015 2004 2002 2004 2017 2009 1000 2.0k 3.0k 4.0k 5.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Paul Stoodley 16.0k 4.5k 3.5k 3.2k 3.0k 262 29.5k
Philip S. Stewart 22.6k 1.4× 4.9k 1.1× 4.9k 1.4× 3.7k 1.1× 3.8k 1.3× 222 37.6k
J. William Costerton 21.2k 1.3× 4.9k 1.1× 5.3k 1.5× 2.9k 0.9× 4.4k 1.5× 142 39.3k
Thomas Bjarnsholt 14.8k 0.9× 2.0k 0.5× 3.5k 1.0× 1.9k 0.6× 2.2k 0.7× 274 24.0k
J. W. Costerton 14.8k 0.9× 2.9k 0.7× 2.2k 0.6× 3.5k 1.1× 3.0k 1.0× 237 28.6k
Niels Høiby 22.3k 1.4× 2.3k 0.5× 5.1k 1.5× 2.6k 0.8× 2.7k 0.9× 637 40.5k
Tom Coenye 14.1k 0.9× 2.3k 0.5× 2.5k 0.7× 4.1k 1.3× 1.5k 0.5× 360 28.4k
Michael Givskov 29.2k 1.8× 3.4k 0.8× 5.1k 1.5× 5.0k 1.6× 3.8k 1.3× 329 40.5k
E. Peter Greenberg 34.2k 2.1× 3.9k 0.9× 5.4k 1.6× 5.8k 1.8× 3.4k 1.1× 228 47.1k
George A. O’Toole 23.6k 1.5× 2.6k 0.6× 4.0k 1.2× 4.8k 1.5× 2.9k 1.0× 247 34.3k
Henny C. van der Mei 10.6k 0.7× 8.1k 1.8× 2.6k 0.8× 1.1k 0.3× 2.8k 0.9× 546 29.0k

Countries citing papers authored by Paul Stoodley

Since Specialization
Citations

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

Fields of papers citing papers by Paul Stoodley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Stoodley. 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 Paul Stoodley. The network helps show where Paul Stoodley may publish in the future.

Co-authorship network of co-authors of Paul Stoodley

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Stoodley. A scholar is included among the top collaborators of Paul Stoodley 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 Paul Stoodley. Paul Stoodley 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.
Nistico, Laura, et al.. (2024). Bacterial Biofilm on Tissue Expander and Acellular Dermal Graft After Breast Reconstruction. Surgical Infections. 25(8). 632–635.
3.
Dennington, Simon, et al.. (2023). Surface properties influence marine biofilm rheology, with implications for ship drag. Soft Matter. 19(20). 3675–3687. 9 indexed citations
4.
Zhu, Yufeng, Glen McHale, Steven Armstrong, et al.. (2022). Slippery Liquid-Like Solid Surfaces with Promising Antibiofilm Performance under Both Static and Flow Conditions. ACS Applied Materials & Interfaces. 14(5). 6307–6319. 64 indexed citations
5.
Litsky, Alan S., et al.. (2022). Mapping Bacterial Biofilm on Features of Orthopedic Implants In Vitro. Microorganisms. 10(3). 586–586. 9 indexed citations
6.
Stoodley, Paul, et al.. (2022). The Influence of Patterned Surface Features on the Accumulation of Bovine Synovial Fluid-Induced Aggregates of Staphylococcus aureus. Applied and Environmental Microbiology. 88(22). e0121722–e0121722. 6 indexed citations
8.
An, Shi‐qi, et al.. (2021). An in vitro biofilm model system to facilitate study of microbial communities of the human oral cavity. Letters in Applied Microbiology. 74(3). 302–310. 11 indexed citations
9.
Linklater, Denver P., Vladimir A. Baulin, Saulius Juodkazis, et al.. (2020). Mechano-bactericidal actions of nanostructured surfaces. Nature Reviews Microbiology. 19(1). 8–22. 426 indexed citations breakdown →
10.
Locke, Landon W., Li Gong, Paul Stoodley, et al.. (2020). Evaluation of Peptide-Based Probes toward In Vivo Diagnostic Imaging of Bacterial Biofilm-Associated Infections. ACS Infectious Diseases. 6(8). 2086–2098. 12 indexed citations
11.
Pestrak, Matthew J., et al.. (2020). Staphylococcus aureus Aggregates on Orthopedic Materials under Varying Levels of Shear Stress. Applied and Environmental Microbiology. 86(19). 17 indexed citations
12.
Devaraj, Aishwarya, John R. Buzzo, Lauren Mashburn‐Warren, et al.. (2019). The extracellular DNA lattice of bacterial biofilms is structurally related to Holliday junction recombination intermediates. Proceedings of the National Academy of Sciences. 116(50). 25068–25077. 99 indexed citations
13.
Stoodley, Paul, et al.. (2019). Sensing the unreachable: challenges and opportunities in biofilm detection. Current Opinion in Biotechnology. 64. 79–84. 76 indexed citations
14.
Palmer, Sara R., Zhi Ren, Geelsu Hwang, et al.. (2018). Streptococcus mutans yidC1 and yidC2 Impact Cell Envelope Biogenesis, the Biofilm Matrix, and Biofilm Biophysical Properties. Journal of Bacteriology. 201(1). 29 indexed citations
15.
Fabbri, Stefania, et al.. (2017). A marine biofilm flow cell for in situ determination of drag, structure and viscoelastic properties. ePrints Soton (University of Southampton). 1 indexed citations
16.
Dusane, Devendra H., et al.. (2017). Targeting intracellularStaphylococcus aureusto lower recurrence of orthopaedic infection. Journal of Orthopaedic Research®. 36(4). 1086–1092. 22 indexed citations
17.
Nistico, Laura, Rachael Kreft, Armin Gieseke, et al.. (2010). Pathogenic biofilms in adenoids: a reservoir for persistent bacteria. ePrints Soton (University of Southampton). 2 indexed citations
18.
Sharp, Robert R., et al.. (2005). Visualization and characterization of dynamic patterns of flow, growth and activity of Vibrio fischeri biofilms growing in porous media. ePrints Soton (University of Southampton). 3 indexed citations
19.
Stoodley, Paul, et al.. (1999). Biofilm structure and behaviour: influence of hydrodynamics and nutrients. ePrints Soton (University of Southampton). 5 indexed citations
20.
Camper, Anne K., et al.. (1994). Bacterial colonization of surfaces in flowing systems: methods and analysis. Montana State University ScholarWorks (Montana State University). 6 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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