Sara Stead

1.7k total citations
34 papers, 1.4k citations indexed

About

Sara Stead is a scholar working on Molecular Biology, Spectroscopy and Food Science. According to data from OpenAlex, Sara Stead has authored 34 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Spectroscopy and 12 papers in Food Science. Recurrent topics in Sara Stead's work include Pesticide Residue Analysis and Safety (11 papers), Mass Spectrometry Techniques and Applications (11 papers) and Identification and Quantification in Food (9 papers). Sara Stead is often cited by papers focused on Pesticide Residue Analysis and Safety (11 papers), Mass Spectrometry Techniques and Applications (11 papers) and Identification and Quantification in Food (9 papers). Sara Stead collaborates with scholars based in United Kingdom, United States and Italy. Sara Stead's co-authors include Matthew Sharman, Christopher T. Elliott, Helen Ashwin, Zoltán Takáts, J. A. Tarbin, Olivier Chevallier, Júlia Balog, Steven Pringle, Michael McCullagh and Brendan J. Keely and has published in prestigious journals such as Analytical Chemistry, Journal of Agricultural and Food Chemistry and Journal of Chromatography A.

In The Last Decade

Sara Stead

33 papers receiving 1.3k 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 Stead United Kingdom 23 705 448 410 283 205 34 1.4k
Milan Fránek Czechia 25 773 1.1× 214 0.5× 418 1.0× 281 1.0× 350 1.7× 68 1.9k
Xiude Hua China 27 815 1.2× 229 0.5× 602 1.5× 399 1.4× 248 1.2× 88 1.8k
Xiaowei Li China 26 464 0.7× 233 0.5× 159 0.4× 452 1.6× 261 1.3× 89 1.8k
Mary T. Kelly Ireland 23 372 0.5× 331 0.7× 168 0.4× 332 1.2× 394 1.9× 56 1.5k
Christopher T. Elliott United Kingdom 23 669 0.9× 176 0.4× 391 1.0× 465 1.6× 433 2.1× 56 1.7k
Yuanhu Pan China 25 420 0.6× 206 0.5× 192 0.5× 334 1.2× 296 1.4× 66 1.6k
Antonio Abad‐Fuentes Spain 28 804 1.1× 234 0.5× 530 1.3× 717 2.5× 533 2.6× 103 2.3k
Pengjie Luo China 21 619 0.9× 131 0.3× 447 1.1× 406 1.4× 191 0.9× 50 1.5k
Peter Zöllner Austria 20 353 0.5× 355 0.8× 167 0.4× 567 2.0× 181 0.9× 38 1.8k
Yunfeng Zhao China 25 335 0.5× 215 0.5× 297 0.7× 400 1.4× 305 1.5× 89 1.6k

Countries citing papers authored by Sara Stead

Since Specialization
Citations

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

Fields of papers citing papers by Sara Stead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Stead

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Stead. A scholar is included among the top collaborators of Sara Stead 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 Stead. Sara Stead 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.
Lee, Huei Hong, et al.. (2021). Manuka honey authentication by a compact atmospheric solids analysis probe mass spectrometer. Journal of Food Composition and Analysis. 105. 104254–104254. 16 indexed citations
2.
Cameron, Simon J. S., Álvaro Perdones-Montero, Lieven Van Meulebroek, et al.. (2021). Sample Preparation Free Mass Spectrometry Using Laser-Assisted Rapid Evaporative Ionization Mass Spectrometry: Applications to Microbiology, Metabolic Biofluid Phenotyping, and Food Authenticity. Journal of the American Society for Mass Spectrometry. 32(6). 1393–1401. 24 indexed citations
3.
Damiani, Tito, Nicola Dreolin, Sara Stead, & Chiara Dall’Asta. (2021). Critical evaluation of ambient mass spectrometry coupled with chemometrics for the early detection of adulteration scenarios in Origanum vulgare L. Talanta. 227. 122116–122116. 26 indexed citations
4.
Hernández‐Mesa, Maykel, Valentina D’Atri, Gitte Barknowitz, et al.. (2020). Interlaboratory and Interplatform Study of Steroids Collision Cross Section by Traveling Wave Ion Mobility Spectrometry. Analytical Chemistry. 92(7). 5013–5022. 64 indexed citations
5.
Ross, Alastair B., Carl Brunius, Olivier Chevallier, et al.. (2020). Making complex measurements of meat composition fast: Application of rapid evaporative ionisation mass spectrometry to measuring meat quality and fraud. Meat Science. 181. 108333–108333. 42 indexed citations
6.
Rigano, Francesca, Domenica Mangraviti, Sara Stead, et al.. (2019). Rapid evaporative ionization mass spectrometry coupled with an electrosurgical knife for the rapid identification of Mediterranean Sea species. Analytical and Bioanalytical Chemistry. 411(25). 6603–6614. 18 indexed citations
7.
Hemeryck, Lieselot, Sara Stead, Steve Huysman, et al.. (2019). First implementation of Rapid Evaporative Ionisation Mass Spectrometry (REIMS) for the at-line screening of boar carcasses in the slaughterhouse. Ghent University Academic Bibliography (Ghent University). 3 indexed citations
10.
Black, Connor, Olivier Chevallier, Simon A. Haughey, et al.. (2017). A real time metabolomic profiling approach to detecting fish fraud using rapid evaporative ionisation mass spectrometry. Metabolomics. 13(12). 153–153. 79 indexed citations
11.
Bijlsma, Lubertus, Richard Bade, Alberto Celma, et al.. (2017). Prediction of Collision Cross-Section Values for Small Molecules: Application to Pesticide Residue Analysis. Analytical Chemistry. 89(12). 6583–6589. 94 indexed citations
12.
Stead, Sara, Christof Van Poucke, Julie Vanden Bussche, et al.. (2017). Rapid evaporative ionization mass spectrometry for high-throughput screening in food analysis: The case of boar taint. Talanta. 169. 30–36. 1 indexed citations
14.
White, Simon J., David H. J. Bunka, Lei Song, et al.. (2012). Toggled RNA Aptamers Against Aminoglycosides Allowing Facile Detection of Antibiotics Using Gold Nanoparticle Assays. Analytical Chemistry. 84(15). 6595–6602. 73 indexed citations
15.
Oplatowska, Michalina, Lisa Connolly, Paul J. Stevenson, Sara Stead, & Christopher T. Elliott. (2011). Development and validation of a fast monoclonal based disequilibrium enzyme-linked immunosorbent assay for the detection of triphenylmethane dyes and their metabolites in fish. Analytica Chimica Acta. 698(1-2). 51–60. 32 indexed citations
16.
Stead, Sara, Helen Ashwin, Brian H. Johnston, et al.. (2010). An RNA-Aptamer-Based Assay for the Detection and Analysis of Malachite Green and Leucomalachite Green Residues in Fish Tissue. Analytical Chemistry. 82(7). 2652–2660. 83 indexed citations
17.
Ashwin, Helen, Sara Stead, Matthew Sharman, et al.. (2008). A rapid microbial inhibition-based screening strategy for fluoroquinolone and quinolone residues in foods of animal origin. Analytica Chimica Acta. 637(1-2). 241–246. 30 indexed citations
20.
Stead, Sara, et al.. (2004). Meeting maximum residue limits: an improved screening technique for the rapid detection of antimicrobial residues in animal food products. Food Additives & Contaminants. 21(3). 216–221. 61 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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