Matthias Vey

952 total citations
21 papers, 511 citations indexed

About

Matthias Vey is a scholar working on Dermatology, Small Animals and Molecular Biology. According to data from OpenAlex, Matthias Vey has authored 21 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Dermatology, 8 papers in Small Animals and 4 papers in Molecular Biology. Recurrent topics in Matthias Vey's work include Contact Dermatitis and Allergies (15 papers), Animal testing and alternatives (8 papers) and Advanced Chemical Sensor Technologies (3 papers). Matthias Vey is often cited by papers focused on Contact Dermatitis and Allergies (15 papers), Animal testing and alternatives (8 papers) and Advanced Chemical Sensor Technologies (3 papers). Matthias Vey collaborates with scholars based in Switzerland, United States and Germany. Matthias Vey's co-authors include Peter A. Cadby, A.M. Api, Alain Chaintreau, Daniel Joulain, C. Marı́n, Daniel Salvito, Peter Griem, Andreas Natsch, Christine Schippa and B. Safford and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of Chromatography A and Food and Chemical Toxicology.

In The Last Decade

Matthias Vey

18 papers receiving 499 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthias Vey Switzerland 10 353 177 97 76 61 21 511
Tina Haupt Switzerland 8 185 0.5× 71 0.4× 36 0.4× 61 0.8× 11 0.2× 10 289
Johanna Bråred Christensson Sweden 18 509 1.4× 33 0.2× 28 0.3× 196 2.6× 18 0.3× 24 722
Klaus Rettinger Germany 9 125 0.4× 11 0.1× 32 0.3× 75 1.0× 67 1.1× 11 402
Eva Paparis France 11 336 1.0× 14 0.1× 35 0.4× 53 0.7× 10 0.2× 33 515
Phil Botham United Kingdom 9 12 0.0× 72 0.4× 10 0.1× 48 0.6× 17 0.3× 16 265
Cinthia Fernanda Zanatta Brazil 6 23 0.1× 5 0.0× 47 0.5× 124 1.6× 22 0.4× 7 383
Agata Kryczyk‐Poprawa Poland 12 46 0.1× 2 0.0× 20 0.2× 51 0.7× 11 0.2× 31 376
R. C. Malhotra India 10 18 0.1× 3 0.0× 49 0.5× 205 2.7× 12 0.2× 22 339
Mahdi Jufri Indonesia 13 35 0.1× 2 0.0× 22 0.2× 110 1.4× 11 0.2× 61 418
Ana Camila Micheletti Brazil 11 3 0.0× 5 0.0× 65 0.7× 114 1.5× 18 0.3× 35 360

Countries citing papers authored by Matthias Vey

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Vey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Vey

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Vey. A scholar is included among the top collaborators of Matthias Vey 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 Matthias Vey. Matthias Vey 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.
Natsch, Andreas, Peter Griem, James Winfred Bridges, et al.. (2026). Derivation of a Point of Departure using NAMs for application in Quantitative Risk Assessment of fragrance materials. Regulatory Toxicology and Pharmacology. 167. 106052–106052.
2.
Baily, James, Christina Hickey, Boris Müller, et al.. (2025). Use of NAMs in a weight of evidence approach to evaluate the safety via the inhalation route of acetylated vetiver oil, in spray products. Regulatory Toxicology and Pharmacology. 162. 105905–105905.
3.
Gautier, F., J. Frank Nash, Stefan Pfuhler, et al.. (2025). Phototoxicity and skin damage: A review of adverse effects of some furocoumarins found in natural extracts. Food and Chemical Toxicology. 200. 115332–115332. 1 indexed citations
4.
5.
Sukakul, Thanisorn, Wolfgang Uter, Margarida Gonçalo, et al.. (2024). Results of patch testing with five fragrance materials hitherto not tested: A dose‐finding study in the clinical population. Contact Dermatitis. 90(6). 566–573. 1 indexed citations
6.
Griem, Peter, et al.. (2022). Reference Chemical Potency List (RCPL): A new tool for evaluating the accuracy of skin sensitisation potency measurements by New Approach Methodologies (NAMs). Regulatory Toxicology and Pharmacology. 134. 105244–105244. 10 indexed citations
7.
Cluzel, Magalie, et al.. (2022). Absence of phototoxicity/photoirritation potential of bergamottin determined In Vitro using OECD TG 432. Regulatory Toxicology and Pharmacology. 136. 105281–105281. 4 indexed citations
8.
Api, A.M., David Basketter, James Winfred Bridges, et al.. (2020). Updating exposure assessment for skin sensitization quantitative risk assessment for fragrance materials. Regulatory Toxicology and Pharmacology. 118. 104805–104805. 52 indexed citations
9.
Natsch, Andreas, et al.. (2019). Exposure source for skin sensitizing hydroperoxides of limonene and linalool remains elusive: An analytical market surveillance. Food and Chemical Toxicology. 127. 156–162. 19 indexed citations
10.
Brévard, Hugues, Richard D. Hiserodt, B. Weber, et al.. (2012). Quantification of selected furocoumarins by high-performance liquid chromatography and UV-detection: Capabilities and limits. Journal of Chromatography A. 1257. 34–40. 24 indexed citations
11.
Cadby, Peter A., et al.. (2010). Identification of the causes of an allergic reaction to a fragranced consumer product. Flavour and Fragrance Journal. 26(1). 2–6. 2 indexed citations
12.
Api, A.M. & Matthias Vey. (2008). Implementation of the dermal sensitization Quantitative Risk Assessment (QRA) for fragrance ingredients. Regulatory Toxicology and Pharmacology. 52(1). 53–61. 40 indexed citations
13.
Api, A.M. & Matthias Vey. (2008). Special issue on QRA. Regulatory Toxicology and Pharmacology. 52(1). 1–2. 3 indexed citations
14.
Chaintreau, Alain, et al.. (2006). GC-MS Quantification of Suspected Volatile Allergens in Fragrances. 2. Data Treatment Strategies and Method Performances. Journal of Agricultural and Food Chemistry. 55(1). 25–31. 23 indexed citations
15.
Vey, Matthias. (2004). The IFRA: working towards the continually-improved safety of fragrance ingredients and the importance of a partnership with the dermatological community.. PubMed. 3(3). 297–9. 1 indexed citations
16.
Chaintreau, Alain, et al.. (2003). GC-MS Quantitation of Fragrance Compounds Suspected To Cause Skin Reactions. 1. Journal of Agricultural and Food Chemistry. 51(22). 6398–6403. 55 indexed citations
17.
Cadby, Peter A., et al.. (2002). Consumer Exposure to Fragrance Ingredients: Providing Estimates for Safety Evaluation. Regulatory Toxicology and Pharmacology. 36(3). 246–252. 246 indexed citations
18.
Vey, Matthias, et al.. (2002). Skin Reaction to Fragrances: Procedures for Promptly Supplying Fragrance Information to Dermatologists. 1(5). 266–268. 1 indexed citations
19.
Cadby, Peter A., et al.. (2002). Fragrances: are they safe?. Flavour and Fragrance Journal. 17(6). 472–477. 10 indexed citations
20.

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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