H.J.P. Marvin

9.6k total citations · 3 hit papers
93 papers, 6.6k citations indexed

About

H.J.P. Marvin is a scholar working on Food Science, Molecular Biology and Materials Chemistry. According to data from OpenAlex, H.J.P. Marvin has authored 93 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Food Science, 30 papers in Molecular Biology and 18 papers in Materials Chemistry. Recurrent topics in H.J.P. Marvin's work include Food Safety and Hygiene (25 papers), Identification and Quantification in Food (19 papers) and Nanoparticles: synthesis and applications (17 papers). H.J.P. Marvin is often cited by papers focused on Food Safety and Hygiene (25 papers), Identification and Quantification in Food (19 papers) and Nanoparticles: synthesis and applications (17 papers). H.J.P. Marvin collaborates with scholars based in Netherlands, United Kingdom and Italy. H.J.P. Marvin's co-authors include Yamine Bouzembrak, Hans Bouwmeester, Ruud Peters, Stefan Weigel, G.A. Kleter, Peter J.M. Hendriksen, Evelien Kramer, Ad Peijnenburg, Anand Gavai and Susan Dekkers and has published in prestigious journals such as ACS Nano, PLoS ONE and Analytical Biochemistry.

In The Last Decade

H.J.P. Marvin

92 papers receiving 6.3k citations

Hit Papers

Distribution, Elimination, and Toxicity of Silver Nanopar... 2012 2026 2016 2021 2012 2022 2024 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H.J.P. Marvin Netherlands 41 2.2k 1.5k 1.2k 1.0k 819 93 6.6k
Yue Liu China 45 663 0.3× 1.0k 0.7× 2.5k 2.1× 1.2k 1.2× 749 0.9× 512 8.0k
Andrew Worth Italy 46 1.1k 0.5× 563 0.4× 1.4k 1.1× 723 0.7× 670 0.8× 198 8.1k
Juan C. Mejuto Spain 35 843 0.4× 1.4k 0.9× 1.0k 0.8× 910 0.9× 633 0.8× 187 7.0k
Yun Yun Gong United Kingdom 55 661 0.3× 1.4k 0.9× 1.7k 1.4× 5.0k 4.9× 820 1.0× 258 10.5k
Roberto Parra‐Saldívar Mexico 58 1.6k 0.7× 680 0.4× 2.3k 1.9× 2.1k 2.0× 2.8k 3.4× 293 12.0k
Mario Dı́az Spain 47 705 0.3× 2.2k 1.5× 2.0k 1.7× 995 1.0× 2.0k 2.4× 348 9.1k
Yoon‐Seok Chang South Korea 61 1.5k 0.7× 1.0k 0.7× 1.2k 1.0× 1.7k 1.6× 2.7k 3.3× 396 13.5k
Lan Wang China 51 1.1k 0.5× 506 0.3× 1.4k 1.1× 643 0.6× 1.6k 1.9× 343 9.2k
Neil J. Rowan Ireland 43 452 0.2× 1.0k 0.7× 965 0.8× 651 0.6× 714 0.9× 159 6.5k
Yuan Liu China 61 1.6k 0.7× 2.1k 1.4× 3.7k 3.1× 825 0.8× 4.1k 5.0× 585 14.2k

Countries citing papers authored by H.J.P. Marvin

Since Specialization
Citations

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

Fields of papers citing papers by H.J.P. Marvin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.J.P. Marvin. 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 H.J.P. Marvin. The network helps show where H.J.P. Marvin may publish in the future.

Co-authorship network of co-authors of H.J.P. Marvin

This figure shows the co-authorship network connecting the top 25 collaborators of H.J.P. Marvin. A scholar is included among the top collaborators of H.J.P. Marvin 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 H.J.P. Marvin. H.J.P. Marvin 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.
Gavai, Anand, et al.. (2025). Agricultural data privacy: Emerging platforms & strategies. Food and Humanity. 4. 100542–100542. 3 indexed citations
2.
Bouzembrak, Yamine, Ningjing Liu, Anand Gavai, et al.. (2024). Data driven food fraud vulnerability assessment using Bayesian Network: Spices supply chain. Food Control. 164. 110616–110616. 9 indexed citations
3.
Catal, Cagatay, et al.. (2023). Food fraud detection using explainable artificial intelligence. Expert Systems. 42(1). 48 indexed citations
4.
Hassoun, Abdo, H.J.P. Marvin, Yamine Bouzembrak, et al.. (2023). Digital transformation in the agri-food industry: recent applications and the role of the COVID-19 pandemic. Frontiers in Sustainable Food Systems. 7. 38 indexed citations
5.
Marvin, H.J.P., Anand Gavai, Ningjing Liu, et al.. (2022). Global media as an early warning tool for food fraud; an assessment of MedISys-FF. Food Control. 137. 108961–108961. 25 indexed citations
6.
Liu, Ningjing, et al.. (2022). Automated food safety early warning system in the dairy supply chain using machine learning. Food Control. 136. 108872–108872. 40 indexed citations
7.
Gavai, Anand, et al.. (2021). Artificial intelligence to detect unknown stimulants from scientific literature and media reports. Food Control. 130. 108360–108360. 7 indexed citations
8.
Bouzembrak, Yamine, et al.. (2021). Automatic classification of literature in systematic reviews on food safety using machine learning. Current Research in Food Science. 5. 84–95. 22 indexed citations
9.
Murphy, Finbarr, Barry Sheehan, Martin Mullins, et al.. (2016). A Tractable Method for Measuring Nanomaterial Risk Using Bayesian Networks. Nanoscale Research Letters. 11(1). 503–503. 26 indexed citations
10.
Amenta, Valeria, Karin Aschberger, Maria Arena, et al.. (2015). Regulatory aspects of nanotechnology in the agri/feed/food sector in EU and non-EU countries. Regulatory Toxicology and Pharmacology. 73(1). 463–476. 223 indexed citations
12.
Peters, Ruud, Puck Brandhoff, Stefan Weigel, et al.. (2014). Inventory of Nanotechnology applications in the agricultural, feed and food sector. EFSA Supporting Publications. 11(7). 71 indexed citations
13.
Zande, Meike van der, Rob J. Vandebriel, Maria Groot, et al.. (2014). Sub-chronic toxicity study in rats orally exposed to nanostructured silica. Particle and Fibre Toxicology. 11(1). 8–8. 159 indexed citations
14.
Bouwmeester, Hans, Iseult Lynch, H.J.P. Marvin, et al.. (2010). Minimal analytical characterization of engineered nanomaterials needed for hazard assessment in biological matrices. Nanotoxicology. 5(1). 1–11. 123 indexed citations
15.
Marvin, H.J.P. & G.A. Kleter. (2009). Early awareness of emerging risks associated with food and feed production: Synopsis of pertinent work carried out within the SAFE FOODS project. Food and Chemical Toxicology. 47(5). 911–914. 9 indexed citations
16.
Marvin, H.J.P., et al.. (2008). Challenges in Chemical Food Contaminants and Residue Analysis. Socio-Environmental Systems Modeling. 3 indexed citations
17.
Dong, Wei, Litao Yang, G.A. Kleter, et al.. (2008). GMDD: a database of GMO detection methods. BMC Bioinformatics. 9(1). 260–260. 86 indexed citations
18.
Kleter, G.A. & H.J.P. Marvin. (2008). Indicators of emerging hazards and risks to food safety. Food and Chemical Toxicology. 47(5). 1022–1039. 59 indexed citations
19.
Marvin, H.J.P., G.A. Kleter, Aldo Prandini, Susan Dekkers, & Declan Bolton. (2007). Early identification systems for emerging foodborne hazards. Food and Chemical Toxicology. 47(5). 915–926. 49 indexed citations
20.
Marvin, H.J.P., et al.. (1989). Fusion of small unilamellar vesicles with viable EDTA-treated Escherichia coli cells. Journal of Bacteriology. 171(10). 5268–5275. 8 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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