Joost H. van Delft

708 total citations
18 papers, 466 citations indexed

About

Joost H. van Delft is a scholar working on Molecular Biology, Surgery and Social Psychology. According to data from OpenAlex, Joost H. van Delft has authored 18 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Social Psychology. Recurrent topics in Joost H. van Delft's work include Pluripotent Stem Cells Research (3 papers), Human-Automation Interaction and Safety (3 papers) and Drug-Induced Hepatotoxicity and Protection (3 papers). Joost H. van Delft is often cited by papers focused on Pluripotent Stem Cells Research (3 papers), Human-Automation Interaction and Safety (3 papers) and Drug-Induced Hepatotoxicity and Protection (3 papers). Joost H. van Delft collaborates with scholars based in Netherlands, Spain and United Kingdom. Joost H. van Delft's co-authors include Jeroen L. A. Pennings, Aldert H. Piersma, Liset J.J. de la Fonteyne, Dorien A.M. van Dartel, Josep Lluı́s Torres, Marta Cascante, Daneida Lizárraga, Jos Kleinjans, Jacob J. Briedé and Josep J. Centelles and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Environmental Health Perspectives and Journal of Nutrition.

In The Last Decade

Joost H. van Delft

18 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joost H. van Delft Netherlands 13 234 88 70 70 44 18 466
Shanshan Fan China 14 253 1.1× 46 0.5× 38 0.5× 33 0.5× 120 2.7× 29 599
Stefania Catania Italy 11 170 0.7× 102 1.2× 74 1.1× 65 0.9× 81 1.8× 13 542
Lakshmi Prasad India 13 122 0.5× 43 0.5× 37 0.5× 21 0.3× 42 1.0× 20 377
Susara Ruwan Kumara Madduma Hewage South Korea 13 168 0.7× 89 1.0× 20 0.3× 30 0.4× 41 0.9× 14 447
Samrat Ghosh India 16 306 1.3× 55 0.6× 20 0.3× 39 0.6× 47 1.1× 25 733
Jai‐Eun Kim South Korea 14 256 1.1× 55 0.6× 14 0.2× 35 0.5× 46 1.0× 42 539
Lingling Pu China 12 179 0.8× 59 0.7× 9 0.1× 52 0.7× 93 2.1× 29 573
Kitae Kwon South Korea 11 73 0.3× 47 0.5× 109 1.6× 39 0.6× 32 0.7× 22 421
Jongkyu Kim South Korea 15 303 1.3× 41 0.5× 22 0.3× 22 0.3× 128 2.9× 48 614

Countries citing papers authored by Joost H. van Delft

Since Specialization
Citations

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

Fields of papers citing papers by Joost H. van Delft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joost H. van Delft. 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 Joost H. van Delft. The network helps show where Joost H. van Delft may publish in the future.

Co-authorship network of co-authors of Joost H. van Delft

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

All Works

18 of 18 papers shown
1.
Jiang, Jian, Sandra M.H. Claessen, Jos Weusten, et al.. (2017). The idiosyncratic drug-induced gene expression changes in HepG2 cells. Data in Brief. 14. 462–468. 1 indexed citations
2.
Jiang, Jian, Sandra M.H. Claessen, Jos Weusten, et al.. (2017). Omics-based identification of the combined effects of idiosyncratic drugs and inflammatory cytokines on the development of drug-induced liver injury. Toxicology and Applied Pharmacology. 332. 100–108. 15 indexed citations
3.
Hebels, Dennie G.A.J., Marlon J. Jetten, Hugo J.W.L. Aerts, et al.. (2014). Evaluation of Database-Derived Pathway Development for Enabling Biomarker Discovery for Hepatotoxicity. Biomarkers in Medicine. 8(2). 185–200. 13 indexed citations
4.
Limonciel, Alice, Anja Wilmes, Lydia Aschauer, et al.. (2012). Oxidative stress induced by potassium bromate exposure results in altered tight junction protein expression in renal proximal tubule cells. Archives of Toxicology. 86(11). 1741–1751. 30 indexed citations
5.
Pennings, Jeroen L. A., W. Gottschalk, Jos Kleinjans, et al.. (2011). Deregulation of Cancer-Related Pathways in Primary Hepatocytes Derived from DNA Repair-Deficient Xpa−/−p53+/− Mice upon Exposure to Benzo[a]pyrene. Toxicological Sciences. 123(1). 123–132. 23 indexed citations
6.
Lizárraga, Daneida, Marı́a Pilar Vinardell, Verónique Noé, et al.. (2011). A Lyophilized Red Grape Pomace Containing Proanthocyanidin-Rich Dietary Fiber Induces Genetic and Metabolic Alterations in Colon Mucosa of Female C57BL/6J Mice. Journal of Nutrition. 141(9). 1597–1604. 40 indexed citations
7.
Dartel, Dorien A.M. van, Jeroen L. A. Pennings, Liset J.J. de la Fonteyne, et al.. (2010). Monitoring Developmental Toxicity in the Embryonic Stem Cell Test Using Differential Gene Expression of Differentiation-Related Genes. Toxicological Sciences. 116(1). 130–139. 56 indexed citations
8.
Dartel, Dorien A.M. van, Jeroen L. A. Pennings, Liset J.J. de la Fonteyne, et al.. (2010). Evaluation of Developmental Toxicant Identification Using Gene Expression Profiling in Embryonic Stem Cell Differentiation Cultures. Toxicological Sciences. 119(1). 126–134. 51 indexed citations
9.
Dartel, Dorien A.M. van, Jeroen L. A. Pennings, Liset J.J. de la Fonteyne, et al.. (2010). Concentration-dependent gene expression responses to flusilazole in embryonic stem cell differentiation cultures. Toxicology and Applied Pharmacology. 251(2). 110–118. 44 indexed citations
10.
Delft, Joost H. van, et al.. (2009). Adaptive Automation in a Naval Combat Management System. IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans. 39(6). 1188–1199. 33 indexed citations
11.
Lizárraga, Daneida, Sonia Touriño, Fernando J. Reyes‐Zurita, et al.. (2008). Witch Hazel (Hamamelis virginiana) Fractions and the Importance of Gallate Moieties—Electron Transfer Capacities in Their Antitumoral Properties. Journal of Agricultural and Food Chemistry. 56(24). 11675–11682. 33 indexed citations
12.
Lizárraga, Daneida, Carles Barriocanal Lozano, Jacob J. Briedé, et al.. (2007). The importance of polymerization and galloylation for the antiproliferative properties of procyanidin‐rich natural extracts. FEBS Journal. 274(18). 4802–4811. 88 indexed citations
13.
Delft, Joost H. van, et al.. (2006). Adaptive Automation using an object-orientated task model. 1 indexed citations
14.
Delft, Joost H. van & Jan Maarten Schraagen. (2005). Decision support interfaces. 1. 827–832. 3 indexed citations
15.
Breda, Simone G. van, et al.. (2005). Vegetables Affect the Expression of Genes Involved in Carcinogenic and Anticarcinogenic Processes in the Lungs of Female C57Bl/6 Mice. Journal of Nutrition. 135(11). 2546–2552. 14 indexed citations
16.
Delft, Joost H. van & Jan Maarten Schraagen. (2003). New MMI concepts for situation assessment and decision making in naval command and control. 1 indexed citations
18.
Baan, Robert A., et al.. (1991). Methods for detection of DNA lesions induced by genotoxic agents; developments, and applications in monitoring human exposure.. PubMed. 372. 229–41. 3 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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