Frank Roe

4.1k total citations · 2 hit papers
22 papers, 3.1k citations indexed

About

Frank Roe is a scholar working on Molecular Biology, Molecular Medicine and Microbiology. According to data from OpenAlex, Frank Roe has authored 22 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Molecular Medicine and 4 papers in Microbiology. Recurrent topics in Frank Roe's work include Bacterial biofilms and quorum sensing (10 papers), Antibiotic Resistance in Bacteria (4 papers) and Antimicrobial Peptides and Activities (4 papers). Frank Roe is often cited by papers focused on Bacterial biofilms and quorum sensing (10 papers), Antibiotic Resistance in Bacteria (4 papers) and Antimicrobial Peptides and Activities (4 papers). Frank Roe collaborates with scholars based in United States, Denmark and Germany. Frank Roe's co-authors include Philip S. Stewart, Zbigniew Lewandowski, Michael J. Franklin, Paul Stoodley, Dirk de Beer, Garth D. Ehrlich, Betsey Pitts, Giorgia Borriello, Søren Molin and Arne Heydorn and has published in prestigious journals such as Applied and Environmental Microbiology, Antimicrobial Agents and Chemotherapy and Biotechnology and Bioengineering.

In The Last Decade

Frank Roe

19 papers receiving 3.0k citations

Hit Papers

Contributions of Antibiotic Penetration, Oxygen Limitatio... 1994 2026 2004 2015 2002 1994 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frank Roe United States 15 2.0k 500 392 382 377 22 3.1k
David Allison United Kingdom 31 2.0k 1.0× 353 0.7× 308 0.8× 446 1.2× 423 1.1× 104 3.4k
Betsey Pitts United States 26 2.5k 1.2× 542 1.1× 668 1.7× 446 1.2× 444 1.2× 39 3.7k
Gail Teitzel United States 6 1.5k 0.7× 336 0.7× 227 0.6× 333 0.9× 365 1.0× 9 2.4k
Carol A. Stremick Canada 9 1.5k 0.8× 417 0.8× 397 1.0× 258 0.7× 246 0.7× 10 2.5k
Maria Olívia Pereira Portugal 32 2.2k 1.1× 372 0.7× 533 1.4× 413 1.1× 379 1.0× 120 3.8k
Lisa Friedman United States 8 2.3k 1.1× 520 1.0× 312 0.8× 539 1.4× 521 1.4× 10 3.2k
Kim Bundvig Barken Denmark 14 1.8k 0.9× 395 0.8× 287 0.7× 396 1.0× 487 1.3× 18 2.4k
Nicolas Barraud Australia 26 2.2k 1.1× 466 0.9× 502 1.3× 529 1.4× 487 1.3× 38 4.0k
Gianfranco Donelli Italy 36 2.5k 1.2× 596 1.2× 600 1.5× 681 1.8× 289 0.8× 96 5.4k
Ehud Banin Israel 31 1.6k 0.8× 485 1.0× 267 0.7× 427 1.1× 557 1.5× 53 4.4k

Countries citing papers authored by Frank Roe

Since Specialization
Citations

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

Fields of papers citing papers by Frank Roe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Roe

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Roe. A scholar is included among the top collaborators of Frank Roe 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 Frank Roe. Frank Roe 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.
Roe, Frank, et al.. (2017). Monitoring of fouling deposits: a key to heat exchanger management. Montana State University ScholarWorks (Montana State University).
2.
Stewart, Philip S., Tianyu Zhang, Betsey Pitts, et al.. (2016). Reaction–diffusion theory explains hypoxia and heterogeneous growth within microbial biofilms associated with chronic infections. npj Biofilms and Microbiomes. 2(1). 16012–16012. 114 indexed citations
3.
Folsom, James P., L. Richards, Betsey Pitts, et al.. (2010). Physiology of Pseudomonas aeruginosa in biofilms as revealed by transcriptome analysis. BMC Microbiology. 10(1). 294–294. 102 indexed citations
4.
Roe, Frank, Michael J. Franklin, Arne Heydorn, et al.. (2004). Stratified Growth in Pseudomonas aeruginosa Biofilms. Applied and Environmental Microbiology. 70(10). 6188–6196. 275 indexed citations
5.
Borriello, Giorgia, et al.. (2004). Oxygen Limitation Contributes to Antibiotic Tolerance of Pseudomonas aeruginosa in Biofilms. Antimicrobial Agents and Chemotherapy. 48(7). 2659–2664. 359 indexed citations
6.
Roe, Frank, et al.. (2003). Role of Nutrient Limitation and Stationary-Phase Existence in Klebsiella pneumoniae Biofilm Resistance to Ampicillin and Ciprofloxacin. Antimicrobial Agents and Chemotherapy. 47(4). 1251–1256. 257 indexed citations
7.
Stewart, Philip S., et al.. (2001). Biofilm penetration and disinfection efficacy of alkaline hypochlorite and chlorosulfamates. Journal of Applied Microbiology. 91(3). 525–532. 209 indexed citations
8.
Stewart, Philip S., Frank Roe, James G. Elkins, et al.. (2000). Effect of Catalase on Hydrogen Peroxide Penetration into Pseudomonas aeruginosa Biofilms. Applied and Environmental Microbiology. 66(2). 836–838. 131 indexed citations
9.
Lu, Xiaofeng, et al.. (1998). Resistance of biofilms to the catalase inhibitor 3-amino-1,2,4-triazole. Biotechnology and Bioengineering. 60(1). 135–135. 26 indexed citations
10.
Liu, Xiaofeng, et al.. (1998). Resistance of biofilms to the catalase inhibitor 3-amino-1,2,4-triazole. Biotechnology and Bioengineering. 59(2). 156–162. 24 indexed citations
11.
Lu, Xiaofeng, et al.. (1998). Resistance of biofilms to the catalase inhibitor 3-amino-1,2,4-triazole. Biotechnol Bioeng. 2 indexed citations
12.
Roe, Frank, et al.. (1996). Simulating Microbiologically Influenced Corrosion by Depositing Extracellular Biopolymers on Mild Steel Surfaces. CORROSION. 52(10). 744–752. 30 indexed citations
13.
Lewandowski, Zbigniew, Paul Stoodley, & Frank Roe. (1995). Internal Mass Transport in Heterogeneous Biofilms Recent Advances. 1–17. 11 indexed citations
14.
Beer, Dirk de, Paul Stoodley, Frank Roe, & Zbigniew Lewandowski. (1994). Effects of biofilm structures on oxygen distribution and mass transport. Biotechnology and Bioengineering. 43(11). 1131–1138. 660 indexed citations breakdown →
15.
Lewandowski, Zbigniew & Frank Roe. (1994). Diffusivity of Cu2+ in calcium alginate gel beads: Recalculation. Biotechnology and Bioengineering. 43(2). 186–187. 32 indexed citations
16.
Roe, Frank, et al.. (1993). On-line side-stream monitoring of biofouling. Montana State University ScholarWorks (Montana State University).
17.
Chen, Dong, et al.. (1993). Diffusivity of Cu2+ in calcium alginate gel beads. Biotechnology and Bioengineering. 41(7). 755–760. 88 indexed citations
18.
Characklis, William G., et al.. (1984). Tube Material, Fluid Velocity, Surface Temperature and Fouling: A Field Study. Montana State University ScholarWorks (Montana State University). 1 indexed citations
19.
Characklis, William G., et al.. (1982). Microbial Fouling and its Effect on Power Generation.. Defense Technical Information Center (DTIC). 2 indexed citations
20.
Characklis, William G., et al.. (1981). Discriminating between biofouling and scaling in a deposition monitor. Montana State University ScholarWorks (Montana State University). 1 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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