Sara McNamee

500 total citations
19 papers, 326 citations indexed

About

Sara McNamee is a scholar working on Molecular Biology, Biomedical Engineering and Environmental Chemistry. According to data from OpenAlex, Sara McNamee has authored 19 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Biomedical Engineering and 7 papers in Environmental Chemistry. Recurrent topics in Sara McNamee's work include Marine Toxins and Detection Methods (7 papers), Biosensors and Analytical Detection (7 papers) and Advanced Biosensing Techniques and Applications (4 papers). Sara McNamee is often cited by papers focused on Marine Toxins and Detection Methods (7 papers), Biosensors and Analytical Detection (7 papers) and Advanced Biosensing Techniques and Applications (4 papers). Sara McNamee collaborates with scholars based in United Kingdom, Ireland and Spain. Sara McNamee's co-authors include Katrina Campbell, Christopher T. Elliott, Philippe Delahaut, James McLaughlin, Brett Greer, Michael J. Lochhead, Santosh Kumar Bikkarolla, Dewar Finlay, Stefania Marcheggiani and Karim Helmi and has published in prestigious journals such as Environmental Science & Technology, Biosensors and Bioelectronics and Environmental Science and Pollution Research.

In The Last Decade

Sara McNamee

18 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sara McNamee United Kingdom 12 154 142 92 81 53 19 326
Anna Toldrà Spain 15 187 1.2× 280 2.0× 205 2.2× 95 1.2× 80 1.5× 27 484
Pedro Razquín Spain 14 59 0.4× 186 1.3× 94 1.0× 24 0.3× 49 0.9× 26 389
Kaan Yılancıoğlu Türkiye 6 45 0.3× 128 0.9× 42 0.5× 29 0.4× 11 0.2× 16 343
Yanhai Gong China 13 28 0.2× 246 1.7× 173 1.9× 35 0.4× 136 2.6× 27 575
Jacqui McElhiney United Kingdom 9 433 2.8× 95 0.7× 20 0.2× 260 3.2× 129 2.4× 11 577
Haifeng Geng China 12 46 0.3× 240 1.7× 27 0.3× 112 1.4× 275 5.2× 22 531
Tian Guan China 11 34 0.2× 164 1.2× 177 1.9× 22 0.3× 20 0.4× 29 295
Raju Rajasabapathy India 14 31 0.2× 118 0.8× 42 0.5× 26 0.3× 126 2.4× 23 360
Haizhou Li China 12 43 0.3× 140 1.0× 23 0.3× 13 0.2× 91 1.7× 16 385
Ana Casanueva South Africa 7 47 0.3× 235 1.7× 67 0.7× 10 0.1× 166 3.1× 7 391

Countries citing papers authored by Sara McNamee

Since Specialization
Citations

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

Fields of papers citing papers by Sara McNamee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara McNamee

This figure shows the co-authorship network connecting the top 25 collaborators of Sara McNamee. A scholar is included among the top collaborators of Sara McNamee 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 Sara McNamee. Sara McNamee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Hussain, Shahzad, et al.. (2025). Protein Immobilization on 3D‐Printed Biomedical Resins for Biochip Applications. Surface and Interface Analysis. 57(5). 343–356.
3.
McNamee, Sara, et al.. (2022). A novel patches-selection method for the classification of point-of-care biosensing lateral flow assays with cardiac biomarkers. Biosensors and Bioelectronics. 223. 115016–115016. 13 indexed citations
4.
Bikkarolla, Santosh Kumar, et al.. (2022). High-Sensitive Detection and Quantitative Analysis of Thyroid-Stimulating Hormone Using Gold-Nanoshell-Based Lateral Flow Immunoassay Device. Biosensors. 12(3). 182–182. 17 indexed citations
5.
Mclaughlin, D. J., Sara McNamee, Brian Mac Namee, et al.. (2021). A Novel Method for Quantitative Analysis of C-Reactive Protein Lateral Flow Immunoassays Images via CMOS Sensor and Recurrent Neural Networks. IEEE Journal of Translational Engineering in Health and Medicine. 9. 1–15. 13 indexed citations
6.
Namee, Brian Mac, D. J. Mclaughlin, David A. Steele, et al.. (2020). Enhance Categorisation Of Multilevel High-Sensitivity Cardiovascular Biomarkers From Lateral Flow Immunoassay Images Via Neural Networks And Dynamic Time Warping. Research Repository UCD (University College Dublin). 365–369. 4 indexed citations
7.
Bikkarolla, Santosh Kumar, et al.. (2020). A lateral flow immunoassay with self-sufficient microfluidic system for enhanced detection of thyroid-stimulating hormone. AIP Advances. 10(12). 14 indexed citations
8.
Mclaughlin, D. J., David A. Steele, Sara McNamee, et al.. (2020). Detection and Categorisation of Multilevel High-sensitivity Cardiovascular Biomarkers from Lateral Flow Immunoassay Images via Recurrent Neural Networks. Ulster University Research Portal (Ulster University). 177–183. 2 indexed citations
9.
Rowan, Neil J., et al.. (2017). Pulsed light reduces the toxicity of the algal toxin okadaic acid to freshwater crustacean Daphnia pulex. Environmental Science and Pollution Research. 25(1). 607–614. 14 indexed citations
10.
McNamee, Sara, et al.. (2017). Feasibility of a novel multispot nanoarray for antibiotic screening in honey. Food Additives & Contaminants Part A. 34(4). 562–572. 8 indexed citations
11.
McNamee, Sara, et al.. (2016). Development of a nanoarray capable of the rapid and simultaneous detection of zearalenone, T2-toxin and fumonisin. Talanta. 164. 368–376. 24 indexed citations
12.
Greer, Brett, Sara McNamee, Bas Boots, et al.. (2016). A validated UPLC–MS/MS method for the surveillance of ten aquatic biotoxins in European brackish and freshwater systems. Harmful Algae. 55. 31–40. 65 indexed citations
13.
McNamee, Sara, et al.. (2016). A novel multispot ELISA for antibiotic screening. Research Portal (Queen's University Belfast). 1 indexed citations
14.
Campbell, Katrina, Sara McNamee, Anne-Catherine Huet, et al.. (2014). Evolving to the optoelectronic mouse for phycotoxin analysis in shellfish. Analytical and Bioanalytical Chemistry. 406(27). 6867–6881. 15 indexed citations
15.
McNamee, Sara, Christopher T. Elliott, Brett Greer, Michael J. Lochhead, & Katrina Campbell. (2014). Development of a Planar Waveguide Microarray for the Monitoring and Early Detection of Five Harmful Algal Toxins in Water and Cultures. Environmental Science & Technology. 48(22). 13340–13349. 31 indexed citations
17.
McNamee, Sara, Richard Cunningham, & Christopher T. Elliott. (2013). Simultaneous immunochemical detection of four banned antibiotic growth promoters in raw and cooked poultry tissue. Food Additives & Contaminants Part A. 30(7). 1270–1278. 9 indexed citations
18.
Stüken, Anke, Simon M. Dittami, Wenche Eikrem, et al.. (2013). Novel hydrolysis-probe based qPCR assay to detect saxitoxin transcripts of dinoflagellates in environmental samples. Harmful Algae. 28. 108–117. 17 indexed citations
19.
McNamee, Sara, Christopher T. Elliott, Philippe Delahaut, & Katrina Campbell. (2012). Multiplex biotoxin surface plasmon resonance method for marine biotoxins in algal and seawater samples. Environmental Science and Pollution Research. 20(10). 6794–6807. 60 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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