Darla M. Goeres

3.2k total citations · 1 hit paper
53 papers, 2.3k citations indexed

About

Darla M. Goeres is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Endocrinology. According to data from OpenAlex, Darla M. Goeres has authored 53 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 9 papers in Health, Toxicology and Mutagenesis and 9 papers in Endocrinology. Recurrent topics in Darla M. Goeres's work include Bacterial biofilms and quorum sensing (36 papers), Legionella and Acanthamoeba research (8 papers) and Water Treatment and Disinfection (8 papers). Darla M. Goeres is often cited by papers focused on Bacterial biofilms and quorum sensing (36 papers), Legionella and Acanthamoeba research (8 papers) and Water Treatment and Disinfection (8 papers). Darla M. Goeres collaborates with scholars based in United States, Portugal and Finland. Darla M. Goeres's co-authors include Philip S. Stewart, Martin A. Hamilton, Paul Stoodley, Thomas Bjarnsholt, Mette Burmølle, Luanne Hall‐Stoodley, Karin Sauer, Kelli Buckingham‐Meyer, Linda R. Loetterle and Rodney M. Donlan and has published in prestigious journals such as Water Research, Nature Reviews Microbiology and Scientific Reports.

In The Last Decade

Darla M. Goeres

51 papers receiving 2.2k citations

Hit Papers

The biofilm life cycle: expanding the conceptual model of... 2022 2026 2023 2024 2022 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Darla M. Goeres United States 21 1.4k 340 320 288 236 53 2.3k
Katja E. Hill United Kingdom 30 1.3k 0.9× 320 0.9× 355 1.1× 278 1.0× 217 0.9× 60 3.4k
Carol A. Stremick Canada 9 1.5k 1.1× 276 0.8× 239 0.7× 397 1.4× 246 1.0× 10 2.5k
Arnaud Bridier France 21 1.4k 1.0× 333 1.0× 261 0.8× 210 0.7× 288 1.2× 41 2.2k
Aixin Yan Hong Kong 28 1.3k 0.9× 274 0.8× 302 0.9× 154 0.5× 265 1.1× 58 2.8k
Theerthankar Das Australia 21 1.2k 0.9× 165 0.5× 304 0.9× 339 1.2× 321 1.4× 43 2.1k
Monalisa Tiwari India 22 1.2k 0.9× 228 0.7× 243 0.8× 339 1.2× 201 0.9× 39 2.4k
Steve Atkinson United Kingdom 20 1.5k 1.1× 165 0.5× 320 1.0× 154 0.5× 271 1.1× 33 2.3k
Florence Dubois‐Brissonnet France 23 1.2k 0.9× 455 1.3× 190 0.6× 239 0.8× 190 0.8× 41 2.2k
Gilles Brackman Belgium 29 2.1k 1.5× 365 1.1× 317 1.0× 617 2.1× 179 0.8× 47 3.1k
Frank Roe United States 15 2.0k 1.5× 239 0.7× 344 1.1× 392 1.4× 377 1.6× 22 3.1k

Countries citing papers authored by Darla M. Goeres

Since Specialization
Citations

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

Fields of papers citing papers by Darla M. Goeres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darla M. Goeres

This figure shows the co-authorship network connecting the top 25 collaborators of Darla M. Goeres. A scholar is included among the top collaborators of Darla M. Goeres 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 Darla M. Goeres. Darla M. Goeres 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
2.
Buckingham‐Meyer, Kelli, et al.. (2024). Simulated aging of draught beer line tubing increases biofilm contamination. International Journal of Food Microbiology. 415. 110630–110630. 2 indexed citations
3.
Ausbacher, Dominik, et al.. (2023). α,α-disubstituted β-amino amides eliminate Staphylococcus aureus biofilms by membrane disruption and biomass removal. Biofilm. 6. 100151–100151. 1 indexed citations
4.
Goeres, Darla M., Birthe V. Kjellerup, Tatyana A. Sysoeva, et al.. (2023). Mitigation and use of biofilms in space for the benefit of human space exploration. Biofilm. 5. 100102–100102. 9 indexed citations
5.
Wade, Scott A., Jeremy S. Webb, Richard B. Eckert, et al.. (2022). The role of standards in biofilm research and industry innovation. International Biodeterioration & Biodegradation. 177. 105532–105532. 12 indexed citations
6.
Sauer, Karin, Paul Stoodley, Darla M. Goeres, et al.. (2022). The biofilm life cycle: expanding the conceptual model of biofilm formation. Nature Reviews Microbiology. 20(10). 608–620. 755 indexed citations breakdown →
7.
Buckingham‐Meyer, Kelli, et al.. (2022). Harvesting and Disaggregation: An Overlooked Step in Biofilm Methods Research. Journal of Visualized Experiments. 2 indexed citations
8.
Johnson, Erick, et al.. (2021). Characterizing the Shearing Stresses within the CDC Biofilm Reactor Using Computational Fluid Dynamics. Microorganisms. 9(8). 1709–1709. 19 indexed citations
9.
Aizawa, Juliana, Paul Cos, Tom Coenye, et al.. (2021). Interlaboratory study for the evaluation of three microtiter plate-based biofilm quantification methods. Scientific Reports. 11(1). 13779–13779. 36 indexed citations
10.
Bjarnsholt, Thomas, Tom Coenye, Paul Cos, et al.. (2019). Minimum information guideline for spectrophotometric and fluorometric methods to assess biofilm formation in microplates. Biofilm. 2. 100010–100010. 63 indexed citations
11.
Livinghouse, Tom, et al.. (2019). Antimicrobial Activity of Naturally Occurring Phenols and Derivatives Against Biofilm and Planktonic Bacteria. Frontiers in Chemistry. 7. 653–653. 74 indexed citations
12.
Parker, Albert E., Martin A. Hamilton, & Darla M. Goeres. (2018). Reproducibility of antimicrobial test methods. Scientific Reports. 8(1). 12531–12531. 25 indexed citations
13.
Gomes, Inês B., Ana Meireles, Ana L. Gonçalves, et al.. (2017). Standardized reactors for the study of medical biofilms: a review of the principles and latest modifications. Critical Reviews in Biotechnology. 38(5). 657–670. 40 indexed citations
14.
Ausbacher, Dominik, et al.. (2017). Paired methods to measure biofilm killing and removal: a case study with Penicillin G treatment of Staphylococcus aureus biofilm. Letters in Applied Microbiology. 66(3). 231–237. 3 indexed citations
15.
Lourenço, Anália, Tom Coenye, Darla M. Goeres, et al.. (2014). Minimum information about a biofilm experiment (MIABiE): standards for reporting experiments and data on sessile microbial communities living at interfaces. Pathogens and Disease. 70(3). 250–256. 41 indexed citations
16.
Hamilton, Martin A., et al.. (2013). Guidelines for the Statistical Analysis of a Collaborative Study of a Laboratory Method for Testing Disinfectant Product Performance. Journal of AOAC International. 96(5). 1138–1151. 21 indexed citations
17.
Buckingham‐Meyer, Kelli, Darla M. Goeres, & Martin A. Hamilton. (2007). Comparative evaluation of biofilm disinfectant efficacy tests. Journal of Microbiological Methods. 70(2). 236–244. 152 indexed citations
18.
Goeres, Darla M., et al.. (2004). Evaluation of disinfectant efficacy against biofilm and suspended bacteria in a laboratory swimming pool model. Water Research. 38(13). 3103–3109. 37 indexed citations
19.
Hamilton, Martin A., et al.. (2001). [24] Development of a standardized antibiofilm test. Methods in enzymology on CD-ROM/Methods in enzymology. 337. 363–376. 28 indexed citations
20.
Pitts, Betsey, et al.. (1999). [45] Measuring antimicrobial effects on biofilm bacteria: From laboratory to field. Methods in enzymology on CD-ROM/Methods in enzymology. 310. 608–628. 51 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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