Jos A. Hageman

2.3k total citations
54 papers, 1.6k citations indexed

About

Jos A. Hageman is a scholar working on Molecular Biology, Nutrition and Dietetics and Food Science. According to data from OpenAlex, Jos A. Hageman has authored 54 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Nutrition and Dietetics and 10 papers in Food Science. Recurrent topics in Jos A. Hageman's work include Metabolomics and Mass Spectrometry Studies (9 papers), Spectroscopy and Chemometric Analyses (7 papers) and Infant Nutrition and Health (6 papers). Jos A. Hageman is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (9 papers), Spectroscopy and Chemometric Analyses (7 papers) and Infant Nutrition and Health (6 papers). Jos A. Hageman collaborates with scholars based in Netherlands, Belgium and China. Jos A. Hageman's co-authors include Ron Wehrens, R. De Gelder, Johan A. Westerhuis, Kasper Hettinga, J.M. Verstraten, Age K. Smilde, Boris Jansen, Klaas G.J. Nierop, Sjef Boeren and Toon van Hooijdonk and has published in prestigious journals such as The Journal of Chemical Physics, PLoS ONE and Journal of Hazardous Materials.

In The Last Decade

Jos A. Hageman

53 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jos A. Hageman Netherlands 23 534 240 192 179 165 54 1.6k
Adrian J. Charlton United Kingdom 23 887 1.7× 211 0.9× 476 2.5× 262 1.5× 227 1.4× 41 2.3k
Andrew J. Clifford United States 29 951 1.8× 438 1.8× 111 0.6× 241 1.3× 64 0.4× 91 2.5k
Krzysztof Czamara Poland 16 625 1.2× 155 0.6× 191 1.0× 87 0.5× 534 3.2× 35 2.2k
Marta Z. Pacia Poland 16 594 1.1× 150 0.6× 190 1.0× 67 0.4× 481 2.9× 28 2.0k
Christoph Müller Germany 24 710 1.3× 59 0.2× 200 1.0× 227 1.3× 93 0.6× 106 2.0k
Kamila Kochan Australia 21 870 1.6× 156 0.7× 200 1.0× 181 1.0× 753 4.6× 50 2.7k
Rongfang Li China 26 592 1.1× 112 0.5× 289 1.5× 166 0.9× 61 0.4× 113 3.0k
Dezhen Wang China 27 728 1.4× 119 0.5× 243 1.3× 97 0.5× 49 0.3× 128 2.5k
Jodie V. Johnson United States 22 501 0.9× 80 0.3× 204 1.1× 475 2.7× 217 1.3× 51 1.6k
Séverine Zirah France 30 2.0k 3.8× 295 1.2× 133 0.7× 390 2.2× 106 0.6× 72 3.3k

Countries citing papers authored by Jos A. Hageman

Since Specialization
Citations

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

Fields of papers citing papers by Jos A. Hageman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jos A. Hageman. 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 Jos A. Hageman. The network helps show where Jos A. Hageman may publish in the future.

Co-authorship network of co-authors of Jos A. Hageman

This figure shows the co-authorship network connecting the top 25 collaborators of Jos A. Hageman. A scholar is included among the top collaborators of Jos A. Hageman 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 Jos A. Hageman. Jos A. Hageman 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.
Munhoz, Davi R., Leo A. J. Willems, Charlotte Lloyd, et al.. (2024). Macro- and microplastics leachates: Characterization and impact on seed germination. Journal of Hazardous Materials. 480. 136013–136013. 11 indexed citations
2.
3.
Jin, Guangyuan, Jos A. Hageman, Yang Zhu, et al.. (2024). Identifying Variables Influencing Traditional Food Solid-State Fermentation by Statistical Modeling. Foods. 13(9). 1317–1317. 3 indexed citations
4.
Janssen, Hans‐Gerd, et al.. (2024). Development of a QSAR model to predict protein-flavor binding in protein-rich food systems. Food Chemistry. 467. 142268–142268. 3 indexed citations
5.
Hennebelle, Marie, et al.. (2023). Selective ionization of oxidized lipid species using different solvent additives in flow injection mass spectrometry. Analytical and Bioanalytical Chemistry. 416(3). 787–799. 2 indexed citations
6.
Hageman, Jos A., et al.. (2023). Quantifying techno-functional properties of ingredients from multiple crops using machine learning. Current Research in Food Science. 7. 100601–100601. 10 indexed citations
7.
Hageman, Jos A., et al.. (2023). Improved LC–MS identification of short homologous peptides using sequence-specific retention time predictors. Analytical and Bioanalytical Chemistry. 415(14). 2715–2726. 7 indexed citations
8.
Araya‐Cloutier, Carla, et al.. (2021). QSAR-based physicochemical properties of isothiocyanate antimicrobials against gram-negative and gram-positive bacteria. LWT. 144. 111222–111222. 13 indexed citations
9.
Hageman, Jos A., et al.. (2021). LC-MS based plant metabolic profiles of thirteen grassland species grown in diverse neighbourhoods. Scientific Data. 8(1). 52–52. 11 indexed citations
10.
AbdElgawad, Hamada, David Riewe, Jos A. Hageman, et al.. (2019). Biomarkers for grain yield stability in rice under drought stress. Journal of Experimental Botany. 71(2). 669–683. 79 indexed citations
11.
Boeren, Sjef, et al.. (2019). Variability of Serum Proteins in Chinese and Dutch Human Milk during Lactation. Nutrients. 11(3). 499–499. 24 indexed citations
12.
Bruijn, Wouter J.C. de, Jos A. Hageman, Carla Araya‐Cloutier, Harry Gruppen, & Jean‐Paul Vincken. (2018). QSAR of 1,4-benzoxazin-3-one antimicrobials and their drug design perspectives. Bioorganic & Medicinal Chemistry. 26(23-24). 6105–6114. 15 indexed citations
13.
Hageman, Jos A., et al.. (2018). Human Milk Oligosaccharides in Colostrum and Mature Milk of Chinese Mothers: Lewis Positive Secretor Subgroups. Journal of Agricultural and Food Chemistry. 66(27). 7036–7043. 73 indexed citations
14.
Calingacion, Mariafe, Roland Mumm, Kevin S. W. Tan, et al.. (2017). A Multidisciplinary Phenotyping and Genotyping Analysis of a Mapping Population Enables Quality to Be Combined with Yield in Rice. Frontiers in Molecular Biosciences. 4. 32–32. 8 indexed citations
15.
Wehrens, Ron, Jos A. Hageman, Fred van Eeuwijk, et al.. (2016). Improved batch correction in untargeted MS-based metabolomics. Metabolomics. 12(5). 88–88. 160 indexed citations
16.
Saccenti, Edoardo, Johan A. Westerhuis, Age K. Smilde, et al.. (2011). Simplivariate Models: Uncovering the Underlying Biology in Functional Genomics Data. PLoS ONE. 6(6). e20747–e20747. 14 indexed citations
17.
Lindinger, Christian, Philippe Pollien, Ric C. H. de Vos, et al.. (2009). Identification of Ethyl Formate as a Quality Marker of the Fermented Off-note in Coffee by a Nontargeted Chemometric Approach. Journal of Agricultural and Food Chemistry. 57(21). 9972–9978. 13 indexed citations
18.
Hageman, Jos A., Margriet M. W. B. Hendriks, Johan A. Westerhuis, et al.. (2008). Simplivariate Models: Ideas and First Examples. PLoS ONE. 3(9). e3259–e3259. 14 indexed citations
19.
Westerhuis, Johan A., Jos A. Hageman, Hans‐Werner Frühauf, & Gadi Rothenberg. (2007). Understanding ligand diversity.. UvA-DARE (University of Amsterdam). 25. 28–32. 1 indexed citations
20.
Hageman, Jos A., Ron Wehrens, H. A. van Sprang, & L.M.C. Buydens. (2003). Hybrid genetic algorithm–tabu search approach for optimising multilayer optical coatings. Analytica Chimica Acta. 490(1-2). 211–222. 19 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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