Paul N. Patrone

904 total citations
45 papers, 613 citations indexed

About

Paul N. Patrone is a scholar working on Biomedical Engineering, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Paul N. Patrone has authored 45 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 12 papers in Molecular Biology and 9 papers in Infectious Diseases. Recurrent topics in Paul N. Patrone's work include Microfluidic and Bio-sensing Technologies (10 papers), SARS-CoV-2 detection and testing (9 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). Paul N. Patrone is often cited by papers focused on Microfluidic and Bio-sensing Technologies (10 papers), SARS-CoV-2 detection and testing (9 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). Paul N. Patrone collaborates with scholars based in United States, France and Germany. Paul N. Patrone's co-authors include Anthony J. Kearsley, Gregg M. Gallatin, Daniel W. Siderius, Alan Grossfield, Daniel M. Zuckerman, Andrew J. Schultz, J. Alexander Liddle, Daniel R. Roe, Charles L. Wolff and Andrea Browning and has published in prestigious journals such as Nucleic Acids Research, The Journal of Chemical Physics and ACS Nano.

In The Last Decade

Paul N. Patrone

43 papers receiving 604 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul N. Patrone United States 11 193 192 180 109 62 45 613
Rajarshi Chakrabarti India 17 212 1.1× 253 1.3× 296 1.6× 256 2.3× 87 1.4× 68 802
T. Zykova-Timan Italy 10 262 1.4× 95 0.5× 148 0.8× 54 0.5× 122 2.0× 15 569
Fabian Westermeier Germany 15 418 2.2× 164 0.9× 73 0.4× 96 0.9× 97 1.6× 64 758
Vincent Dahirel France 14 165 0.9× 135 0.7× 204 1.1× 33 0.3× 103 1.7× 37 688
Johannes Möller Germany 18 400 2.1× 128 0.7× 261 1.4× 38 0.3× 145 2.3× 53 909
Jake Fontana United States 17 221 1.1× 388 2.0× 151 0.8× 108 1.0× 130 2.1× 48 849
Bernward A. Mann Germany 7 267 1.4× 294 1.5× 197 1.1× 100 0.9× 90 1.5× 9 861
Filipe R. N. C. Maia Sweden 19 492 2.5× 121 0.6× 230 1.3× 112 1.0× 183 3.0× 45 1.6k
V. P. Zhdanov Russia 16 354 1.8× 128 0.7× 163 0.9× 172 1.6× 335 5.4× 71 949
Sujin B. Babu India 13 169 0.9× 111 0.6× 39 0.2× 190 1.7× 161 2.6× 26 567

Countries citing papers authored by Paul N. Patrone

Since Specialization
Citations

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

Fields of papers citing papers by Paul N. Patrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul N. Patrone

This figure shows the co-authorship network connecting the top 25 collaborators of Paul N. Patrone. A scholar is included among the top collaborators of Paul N. Patrone 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 N. Patrone. Paul N. Patrone 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.
Cooksey, Gregory A., et al.. (2025). Uncertainty Quantification in Flow Cytometry Using a Cell Sorter. Cytometry Part A. 107(4). 248–262. 2 indexed citations
3.
Binder, Raquel A., Catherine S. Forconi, Cliff I. Oduor, et al.. (2024). Minding the margins: Evaluating the impact of COVID-19 among Latinx and Black communities with optimal qualitative serological assessment tools. PLoS ONE. 19(7). e0307568–e0307568. 2 indexed citations
4.
Patrone, Paul N., Anthony J. Kearsley, Adolfas K. Gaigalas, et al.. (2023). Monoclonal Antibodies as SARS-CoV-2 Serology Standards: Experimental Validation and Broader Implications for Correlates of Protection. International Journal of Molecular Sciences. 24(21). 15705–15705. 2 indexed citations
5.
Kearsley, Anthony J., et al.. (2023). Optimal classification and generalized prevalence estimates for diagnostic settings with more than two classes. Mathematical Biosciences. 358. 108982–108982. 2 indexed citations
6.
Kearsley, Anthony J., Nora Pisanic, Yukari C. Manabe, et al.. (2023). Modeling in higher dimensions to improve diagnostic testing accuracy: Theory and examples for multiplex saliva-based SARS-CoV-2 antibody assays. PLoS ONE. 18(3). e0280823–e0280823. 3 indexed citations
7.
Patrone, Paul N., Matthew DiSalvo, Anthony J. Kearsley, G. B. McFadden, & Gregory A. Cooksey. (2023). Reproducibility in cytometry: Signals analysis and its connection to uncertainty quantification. PLoS ONE. 18(12). e0295502–e0295502. 1 indexed citations
8.
Patrone, Paul N., et al.. (2022). Optofluidic flow meter for sub-nanoliter per minute flow measurements. Journal of Biomedical Optics. 27(1). 4 indexed citations
9.
Kearsley, Anthony J., et al.. (2022). Prevalence estimation and optimal classification methods to account for time dependence in antibody levels. Journal of Theoretical Biology. 559. 111375–111375. 8 indexed citations
10.
Patrone, Paul N., et al.. (2021). Optofluidic flow meter for sub–nanoliter per minute flow measurements. 2–2. 2 indexed citations
11.
Patrone, Paul N., et al.. (2020). Analysis and uncertainty quantification of DNA fluorescence melt data: Applications of affine transformations. Analytical Biochemistry. 607. 113773–113773. 10 indexed citations
12.
Patrone, Paul N., Erica L. Romsos, Megan H. Cleveland, Peter M. Vallone, & Anthony J. Kearsley. (2020). Affine analysis for quantitative PCR measurements. Analytical and Bioanalytical Chemistry. 412(28). 7977–7988. 10 indexed citations
13.
Patrone, Paul N. & Anthony J. Kearsley. (2020). Classification Under Uncertainty: Data Analysis for Diagnostic Antibody Testing. arXiv (Cornell University). 9 indexed citations
14.
Patrone, Paul N., Gregory A. Cooksey, & Anthony J. Kearsley. (2019). Dynamic Measurement of Nanoflows: Analysis and Theory of an Optofluidic Flowmeter. Physical Review Applied. 11(3). 9 indexed citations
15.
Grossfield, Alan, Paul N. Patrone, Daniel R. Roe, et al.. (2018). Best Practices for Quantification of Uncertainty and Sampling Quality in Molecular Simulations. 1(1). 4 indexed citations
16.
Grossfield, Alan, Paul N. Patrone, Daniel R. Roe, et al.. (2018). Best Practices for Quantification of Uncertainty and Sampling Quality in Molecular Simulations [Article v1.0]. PubMed. 1(1). 117 indexed citations
17.
Patrone, Paul N., et al.. (2018). Steric Hindrance of Crystal Growth: Nonlinear Step Flow in 1+1 Dimensions. Multiscale Modeling and Simulation. 16(1). 266–299. 1 indexed citations
18.
Patrone, Paul N., T. L. Einstein, & Dionisios Margetis. (2014). From atoms to steps: The microscopic origins of crystal evolution. Surface Science. 625. 37–43. 3 indexed citations
19.
Ko, Seung Hyeon, Fernando Vargas–Lara, Paul N. Patrone, et al.. (2014). High-speed, high-purity separation of gold nanoparticle–DNA origami constructs using centrifugation. Soft Matter. 10(37). 7370–7370. 30 indexed citations
20.
Patrone, Paul N., T. L. Einstein, & Dionisios Margetis. (2010). One-dimensional model of interacting-step fluctuations on vicinal surfaces: Analytical formulas and kinetic Monte Carlo simulations. Physical Review E. 82(6). 61601–61601. 7 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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