Martin Alewijn

1.5k total citations
47 papers, 1.1k citations indexed

About

Martin Alewijn is a scholar working on Molecular Biology, Food Science and Animal Science and Zoology. According to data from OpenAlex, Martin Alewijn has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 18 papers in Food Science and 14 papers in Animal Science and Zoology. Recurrent topics in Martin Alewijn's work include Identification and Quantification in Food (17 papers), Meat and Animal Product Quality (14 papers) and Advanced Chemical Sensor Technologies (13 papers). Martin Alewijn is often cited by papers focused on Identification and Quantification in Food (17 papers), Meat and Animal Product Quality (14 papers) and Advanced Chemical Sensor Technologies (13 papers). Martin Alewijn collaborates with scholars based in Netherlands, Italy and United Kingdom. Martin Alewijn's co-authors include Saskia M. van Ruth, Jan Wouters, E.L. Sliwinski, Yannick Weesepoel, Alex Koot, Franco Biasioli, Judith Müller-Maatsch, Christopher T. Elliott, Simon A. Haughey and Carsten Fauhl‐Hassek and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Trends in Food Science & Technology.

In The Last Decade

Martin Alewijn

45 papers receiving 1.1k citations

Peers

Countries citing papers authored by Martin Alewijn

Since Specialization

Citations

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

Fields of papers citing papers by Martin Alewijn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Alewijn

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Postmortem muscle proteomics reveals breed specific responses to environmental enrichment and broiler meat quality 2025 ·npj Science of Food ·(unknown), I.C. de Jong, (unknown), Martin Alewijn, Shai Barbut, Vincenzo Fogliano, Sara W. Erasmus	0
2	Comparison of Portable and Benchtop Near-Infrared Spectrometers for the Detection of Citric Acid-adulterated Lime Juice: A Chemometrics Approach 2022 ·Iranian journal of pharmaceutical research ·Reza Jahani, Saskia M. van Ruth, Yannick Weesepoel, Martin Alewijn, Farzad Kobarfard, Mehrdad Faizi, (unknown), Arash Mahboubi, Azadeh Nasiri, Hassan Yazdanpanah	7
3	The importance of wavelength selection in on-scene identification of drugs of abuse with portable near-infrared spectroscopy 2022 ·Forensic Chemistry ·Ruben F. Kranenburg, Yannick Weesepoel, Martin Alewijn, (unknown), (unknown), (unknown), Peter H. J. Keizers, Arian van Asten	23
4	Dataset of near-infrared spectral data of illicit-drugs and forensic casework samples analyzed by five portable spectrometers operating in different wavelength ranges 2022 ·Data in Brief ·Ruben F. Kranenburg, Yannick Weesepoel, Martin Alewijn, (unknown), (unknown), (unknown), Peter H. J. Keizers, Arian van Asten	7
5	Predicting the performance of handheld near-infrared photonic sensors from a master benchtop device 2022 ·Analytica Chimica Acta ·(unknown), Martin Alewijn, Yannick Weesepoel, Judith Müller-Maatsch, (unknown), Geert Postma, L.M.C. Buydens, Jeroen J. Jansen	7
6	Towards the universal assessment of dietary intake using spectral imaging solutions 2021 ·Yannick Weesepoel, (unknown), Martin Alewijn, (unknown), Judith Müller-Maatsch, (unknown), H. Rijgersberg, J.L. Top, (unknown)	2
7	Detecting Food Fraud in Extra Virgin Olive Oil Using a Prototype Portable Hyphenated Photonics Sensor 2020 ·Journal of AOAC International ·Yannick Weesepoel, Martin Alewijn, (unknown), Judith Müller-Maatsch	32
8	From Extra Virgin Olive Oil to Refined Products: Intensity and Balance Shifts of the Volatile Compounds versus Odor 2020 ·Molecules ·Jing Yan, Martin Alewijn, Saskia M. van Ruth	9
9	Towards harmonization of test methods for in vitro hepatic clearance studies 2019 ·Toxicology in Vitro ·Jochem Louisse, Martin Alewijn, Ad Peijnenburg, Nicole H.P. Cnubben, Minne B. Heringa, Sandra Coecke, Ans Punt	20
10	Importance of harmonised sample preparation for moisture and protein content determinations in official food control laboratories: A poultry meat case study 2019 ·Food Chemistry ·Yannick Weesepoel, Erika Silletti, Martin Alewijn, Alexander Bernreuther	4
11	Which cocoa bean traits persist when eating chocolate? Real-time nosespace analysis by PTR-QiToF-MS 2018 ·Talanta ·(unknown), Ningjing Liu, Martin Alewijn, Markus Stieger, Saskia M. van Ruth	14
12	What are the scientific challenges in moving from targeted to non-targeted methods for food fraud testing and how can they be addressed? – Spectroscopy case study 2018 ·Trends in Food Science & Technology ·Terry McGrath, Simon A. Haughey, Jenny Patterson, Carsten Fauhl‐Hassek, James Donarski, Martin Alewijn, Saskia M. van Ruth, Christopher T. Elliott	140
13	Proton-transfer reaction mass spectrometry (PTR-MS) for the authentication of regionally unique South African lamb 2017 ·Food Chemistry ·Sara W. Erasmus, Magdalena Müller, Martin Alewijn, Alex Koot, Saskia M. van Ruth, Louwrens C. Hoffman	16
14	New approaches towards discrimination of fresh/chilled and frozen/thawed chicken breasts by HADH activity determination: Customized slope fitting and chemometrics 2016 ·Meat Science ·Rita Boerrigter‐Eenling, Martin Alewijn, Yannick Weesepoel, Saskia M. van Ruth	11
15	Validation of multivariate classification methods using analytical fingerprints – concept and case study on organic feed for laying hens 2016 ·Journal of Food Composition and Analysis ·Martin Alewijn, Hilko van der Voet, Saskia M. van Ruth	43
16	Analysis of effects of Herbabolus on milk quality 2015 ·Data Archiving and Networked Services (DANS) ·(unknown), Martin Alewijn, (unknown), Arjen Lommen, Geert Stoopen, (unknown), M.G. Pikkemaat, T.C. de Rijk	1
17	Bioaccessibility of vitamin A, vitamin C and folic acid from dietary supplements, fortified food and infant formula 2014 ·International Journal of Food Sciences and Nutrition ·Esther Brandon, Martine Bakker, Evelien Kramer, Hans Bouwmeester, (unknown), Martin Alewijn	29
18	Selected reaction monitoring method to determine the species origin of blood-based binding agents in meats: A collaborative study 2013 ·Food Chemistry ·(unknown), Wendy A. Read, Roy Macarthur, Michael Dickinson, Adrian J. Charlton, Martin Dušek, Breidbach Andreas, Peter F. Scholl, G. Asher Newsome, (unknown), Martin Alewijn	7
19	Typicality and Geographical Origin Markers of Protected Origin Cheese from The Netherlands Revealed by PTR-MS 2011 ·Journal of Agricultural and Food Chemistry ·(unknown), Alex Koot, Christos Soukoulis, Luca Cappellin, Franco Biasioli, Martin Alewijn, Saskia M. van Ruth	36
20	Orange juice authentication: Typicality, Organic production and geographical origin 2011 ·Socio-Environmental Systems Modeling ·Saskia M. van Ruth, J. Guerri, Martin Alewijn	1

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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