N. G. Cogan

1.2k total citations
52 papers, 889 citations indexed

About

N. G. Cogan is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, N. G. Cogan has authored 52 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Genetics and 12 papers in Biomedical Engineering. Recurrent topics in N. G. Cogan's work include Bacterial biofilms and quorum sensing (15 papers), Membrane Separation Technologies (10 papers) and Bacterial Genetics and Biotechnology (9 papers). N. G. Cogan is often cited by papers focused on Bacterial biofilms and quorum sensing (15 papers), Membrane Separation Technologies (10 papers) and Bacterial Genetics and Biotechnology (9 papers). N. G. Cogan collaborates with scholars based in United States, United Kingdom and Italy. N. G. Cogan's co-authors include Shankararaman Chellam, Qi Wang, Tianyu Zhang, Lisa Fauci, Ricardo Cortez, Robert D. Guy, Patrick De Leenheer, James P. Keener, M. Yousuff Hussaini and Angela M. Jarrett and has published in prestigious journals such as Applied and Environmental Microbiology, Biophysical Journal and Journal of Membrane Science.

In The Last Decade

N. G. Cogan

50 papers receiving 847 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. G. Cogan United States 17 373 220 144 125 100 52 889
Hermann J. Eberl Canada 23 687 1.8× 386 1.8× 110 0.8× 230 1.8× 184 1.8× 89 1.6k
Minyoung Kevin Kim United States 10 531 1.4× 262 1.2× 20 0.1× 102 0.8× 168 1.7× 16 906
Zhiyun Wang China 19 500 1.3× 167 0.8× 35 0.2× 43 0.3× 25 0.3× 89 1.4k
Cécile Formosa‐Dague France 28 774 2.1× 348 1.6× 139 1.0× 57 0.5× 90 0.9× 58 2.0k
François Ingremeau France 9 380 1.0× 333 1.5× 12 0.1× 77 0.6× 82 0.8× 12 889
Hannah H. Tuson United States 15 752 2.0× 434 2.0× 30 0.2× 164 1.3× 296 3.0× 18 1.5k
Ronn S. Friedlander United States 7 315 0.8× 223 1.0× 14 0.1× 35 0.3× 54 0.5× 7 781
Courtney K. Ellison United States 11 683 1.8× 175 0.8× 21 0.1× 308 2.5× 245 2.5× 21 1.1k
Yutaka Yawata Japan 15 588 1.6× 234 1.1× 37 0.3× 93 0.7× 259 2.6× 28 1.1k
Anna Razatos United States 10 465 1.2× 301 1.4× 98 0.7× 44 0.4× 65 0.7× 17 1.1k

Countries citing papers authored by N. G. Cogan

Since Specialization
Citations

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

Fields of papers citing papers by N. G. Cogan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. G. Cogan. 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 N. G. Cogan. The network helps show where N. G. Cogan may publish in the future.

Co-authorship network of co-authors of N. G. Cogan

This figure shows the co-authorship network connecting the top 25 collaborators of N. G. Cogan. A scholar is included among the top collaborators of N. G. Cogan 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 N. G. Cogan. N. G. Cogan 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.
Cogan, N. G., et al.. (2025). Optimal control strategies for mitigating antibiotic resistance: Integrating virus dynamics for enhanced intervention design. Mathematical Biosciences. 386. 109464–109464. 1 indexed citations
2.
Bernardi, Francesca, et al.. (2024). Optimization of surface water microfiltration with hydraulic and chemically enhanced backwashing. Journal of Membrane Science. 717. 123550–123550.
3.
Jarrett, Angela M., et al.. (2024). A Model of Gastric Mucosal pH Regulation: Extending Sensitivity Analysis Using Sobol’ Indices to Understand Higher Moments. Bulletin of Mathematical Biology. 86(7). 77–77.
4.
Hussaini, M. Yousuff, et al.. (2023). Exploring how ecological and epidemiological processes shape multi-host disease dynamics using global sensitivity analysis. Journal of Mathematical Biology. 86(5). 83–83. 2 indexed citations
5.
6.
Cogan, N. G., et al.. (2021). Physiological insights into electrodiffusive maintenance of gastric mucus through sensitivity analysis and simulations. Journal of Mathematical Biology. 83(3). 30–30. 4 indexed citations
7.
Paus, Ralf, et al.. (2020). Toward Predicting the Spatio-Temporal Dynamics of Alopecia Areata Lesions Using Partial Differential Equation Analysis. Bulletin of Mathematical Biology. 82(3). 34–34. 15 indexed citations
8.
Hussaini, M. Yousuff, et al.. (2018). A framework for model analysis across multiple experiment regimes: Investigating effects of zinc on Xylella fastidiosa as a case study. Journal of Theoretical Biology. 457. 88–100. 5 indexed citations
9.
Jarrett, Angela M., N. G. Cogan, & M. Yousuff Hussaini. (2017). Combining Two Methods of Global Sensitivity Analysis to Investigate MRSA Nasal Carriage Model. Bulletin of Mathematical Biology. 79(10). 2258–2272. 5 indexed citations
10.
Cogan, N. G., et al.. (2016). Theoretical and experimental evidence for eliminating persister bacteria by manipulating killing timing. FEMS Microbiology Letters. 363(23). fnw264–fnw264. 8 indexed citations
11.
Jarrett, Angela M., N. G. Cogan, & M. Yousuff Hussaini. (2015). Mathematical Model for MRSA Nasal Carriage. Bulletin of Mathematical Biology. 77(9). 1787–1812. 4 indexed citations
12.
Cogan, N. G., et al.. (2015). A Two-Dimensional Multiphase Model of Biofilm Formation in Microfluidic Chambers. Bulletin of Mathematical Biology. 77(12). 2161–2179. 3 indexed citations
13.
Paus, Ralf, et al.. (2015). Mathematical model for alopecia areata. Journal of Theoretical Biology. 380. 332–345. 7 indexed citations
14.
Cogan, N. G.. (2013). Concepts in disinfection of bacterial populations. Mathematical Biosciences. 245(2). 111–125. 8 indexed citations
15.
Cogan, N. G., John S. Gunn, & Daniel J. Wozniak. (2011). Biofilms and infectious diseases: biology to mathematics and back again. FEMS Microbiology Letters. 322(1). 1–7. 14 indexed citations
16.
Cogan, N. G. & Charles W. Wolgemuth. (2010). Two-Dimensional Patterns in Bacterial Veils Arise from Self-generated, Three-Dimensional Fluid Flows. Bulletin of Mathematical Biology. 73(1). 212–229. 7 indexed citations
17.
Leenheer, Patrick De & N. G. Cogan. (2008). Failure of antibiotic treatment in microbial populations. Journal of Mathematical Biology. 59(4). 563–579. 36 indexed citations
18.
Cogan, N. G. & Charles W. Wolgemuth. (2005). Pattern Formation by Bacteria-Driven Flow. Biophysical Journal. 88(4). 2525–2529. 13 indexed citations
19.
Cogan, N. G., Ricardo Cortez, & Lisa Fauci. (2004). Modeling physiological resistance in bacterial biofilms. Bulletin of Mathematical Biology. 67(4). 831–853. 57 indexed citations
20.
Cogan, N. G.. (2004). The role of the biofilm matrix in structural development. Mathematical Medicine and Biology A Journal of the IMA. 21(2). 147–166. 133 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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