Nicholas Birse

499 total citations
25 papers, 326 citations indexed

About

Nicholas Birse is a scholar working on Molecular Biology, Biomedical Engineering and Ecology. According to data from OpenAlex, Nicholas Birse has authored 25 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Biomedical Engineering and 5 papers in Ecology. Recurrent topics in Nicholas Birse's work include Identification and Quantification in Food (14 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Advanced Chemical Sensor Technologies (5 papers). Nicholas Birse is often cited by papers focused on Identification and Quantification in Food (14 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Advanced Chemical Sensor Technologies (5 papers). Nicholas Birse collaborates with scholars based in United Kingdom, Thailand and India. Nicholas Birse's co-authors include Christopher T. Elliott, Brian Quinn, Olivier Chevallier, Di Wu, Saskia M. van Ruth, Lynn Vanhaecke, Ratnasekhar Ch, Margarita Aznar, Cristina Nerı́n and Yicong Li and has published in prestigious journals such as Nature Communications, Journal of Hazardous Materials and Food Chemistry.

In The Last Decade

Nicholas Birse

22 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas Birse United Kingdom 11 181 101 91 68 46 25 326
Francesca Di Donato Italy 13 100 0.6× 153 1.5× 83 0.9× 17 0.3× 72 1.6× 26 345
Alexia Agiomyrgianaki Greece 8 138 0.8× 151 1.5× 92 1.0× 30 0.4× 12 0.3× 9 352
Joseph E. Jablonski United States 12 116 0.6× 76 0.8× 71 0.8× 17 0.3× 16 0.3× 18 325
Marijana Ačanski Serbia 10 78 0.4× 88 0.9× 41 0.5× 54 0.8× 30 0.7× 44 270
Tito Damiani Italy 9 100 0.6× 54 0.5× 64 0.7× 54 0.8× 13 0.3× 12 212
Enrico Casadei Italy 10 53 0.3× 110 1.1× 89 1.0× 19 0.3× 23 0.5× 24 345
Sanjeewa R. Karunathilaka United States 13 200 1.1× 336 3.3× 236 2.6× 23 0.3× 52 1.1× 26 471
Rita Boerrigter‐Eenling Netherlands 11 136 0.8× 113 1.1× 104 1.1× 14 0.2× 121 2.6× 14 405
Miguel D. Ferro Portugal 9 160 0.9× 116 1.1× 167 1.8× 47 0.7× 4 0.1× 12 373
Anja Bonte Germany 11 143 0.8× 31 0.3× 83 0.9× 24 0.4× 26 0.6× 18 297

Countries citing papers authored by Nicholas Birse

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Birse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Birse

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Birse. A scholar is included among the top collaborators of Nicholas Birse 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 Nicholas Birse. Nicholas Birse 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.
Birse, Nicholas, et al.. (2025). Tracing the global origins of black tea using rapid XRF techniques coupled with advanced machine learning. Food Research International. 223(Pt 1). 117855–117855.
2.
Birse, Nicholas, et al.. (2025). Gaseous exchange-dependent in vitro culture extensively alters plant growth and metabolic landscape revealed by comprehensive metabolomics. Plant Physiology and Biochemistry. 222. 109765–109765.
3.
Qing, Han, Nicholas Birse, Brian Quinn, et al.. (2025). Investigating the impact of particle size on the volatile and non-volatile metabolite variations of ginger powder. LWT. 225. 117920–117920. 1 indexed citations
4.
Chilaka, Cynthia Adaku, et al.. (2025). A combined elementomics, metabolomics, and chemometrics approach as tools to identify the geographic origins of black pepper. Food Chemistry. 492(Pt 2). 145420–145420.
5.
Ch, Ratnasekhar, Samreen Gul Khan, Pradipto Mukhopadhyay, et al.. (2025). Machine learning-guided Orbitrap-HRAMS-based metabolomic fingerprinting for geographical origin, variety and tissue specific authentication, and adulteration detection of turmeric and ashwagandha. Food Chemistry. 482. 144078–144078. 1 indexed citations
6.
Cama‐Moncunill, Raquel, A.P. Moloney, Nicholas Birse, et al.. (2024). Meat provenance - Advances and opportunities in rapid spectral techniques for authentication of dietary background and geographical origin of meat. Trends in Food Science & Technology. 150. 104557–104557. 2 indexed citations
7.
Bayen, Stéphane, Christopher T. Elliott, Marco Arlorio, et al.. (2024). Towards a harmonized approach for food authenticity marker validation and accreditation. Trends in Food Science & Technology. 149. 104550–104550. 9 indexed citations
8.
Liu, Jingjing, Nicholas Birse, Carlos Álvarez, et al.. (2024). Discrimination of beef composition and sensory quality by using rapid Evaporative Ionisation Mass Spectrometry (REIMS). Food Chemistry. 454. 139645–139645. 2 indexed citations
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Birse, Nicholas, et al.. (2023). MALDI-ToF MS and chemometric analysis as a tool for identifying wild and farmed salmon. Food Chemistry. 432. 137279–137279. 5 indexed citations
12.
Khan, Samreen Gul, Anjali Singh, S. N. Singh, et al.. (2023). Rapid metabolic fingerprinting with the aid of chemometric models to identify authenticity of natural medicines: Turmeric, Ocimum, and Withania somnifera study. Journal of Pharmaceutical Analysis. 13(9). 1041–1057. 22 indexed citations
13.
Logan, Natasha, Brian Quinn, Nicholas Birse, et al.. (2023). Fingerprinting black tea: When spectroscopy meets machine learning a novel workflow for geographical origin identification. Food Chemistry. 438. 138029–138029. 41 indexed citations
14.
Birse, Nicholas, D. Thorburn Burns, Michael Walker, Milena Quaglia, & Christopher T. Elliott. (2023). Food allergen analysis: A review of current gaps and the potential to fill them by matrix‐assisted laser desorption/ionization. Comprehensive Reviews in Food Science and Food Safety. 22(5). 3984–4003. 11 indexed citations
15.
Birse, Nicholas, Brian Quinn, Yicong Li, et al.. (2023). Data fusion and multivariate analysis for food authenticity analysis. Nature Communications. 14(1). 3309–3309. 46 indexed citations
16.
Quinn, Brian, et al.. (2022). Elementomics combined with dd-SIMCA and K-NN to identify the geographical origin of rice samples from China, India, and Vietnam. Food Chemistry. 386. 132738–132738. 27 indexed citations
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Birse, Nicholas, et al.. (2022). Metabolomic profiling to detect different forms of beef fraud using rapid evaporative ionisation mass spectrometry (REIMS). npj Science of Food. 6(1). 9–9. 21 indexed citations
20.
Aznar, Margarita, et al.. (2020). Ambient mass spectrometry as a tool for a rapid and simultaneous determination of migrants coming from a bamboo-based biopolymer packaging. Journal of Hazardous Materials. 398. 122891–122891. 27 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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