Betty C. Hakkert

672 total citations
18 papers, 481 citations indexed

About

Betty C. Hakkert is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research and Small Animals. According to data from OpenAlex, Betty C. Hakkert has authored 18 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Health, Toxicology and Mutagenesis, 10 papers in Cancer Research and 5 papers in Small Animals. Recurrent topics in Betty C. Hakkert's work include Effects and risks of endocrine disrupting chemicals (13 papers), Carcinogens and Genotoxicity Assessment (10 papers) and Animal testing and alternatives (5 papers). Betty C. Hakkert is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (13 papers), Carcinogens and Genotoxicity Assessment (10 papers) and Animal testing and alternatives (5 papers). Betty C. Hakkert collaborates with scholars based in Netherlands, Austria and Germany. Betty C. Hakkert's co-authors include Wout Slob, Theo Vermeire, Aldert H. Piersma, Gemma Janer, Moniek N. Pieters, Nicole H.P. Cnubben, Monique Rennen, Jan A. van Mourik, Marjolijn Woutersen and Johannes J.M. van de Sandt and has published in prestigious journals such as European Journal of Immunology, British Journal of Haematology and Toxicological Sciences.

In The Last Decade

Betty C. Hakkert

18 papers receiving 452 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Betty C. Hakkert Netherlands 14 225 143 112 73 59 18 481
Alexandra Maertens United States 15 179 0.8× 63 0.4× 96 0.9× 232 3.2× 48 0.8× 39 652
Sean C. Gehen United States 14 108 0.5× 61 0.4× 145 1.3× 163 2.2× 95 1.6× 26 537
Dinant Kroese Netherlands 11 260 1.2× 167 1.2× 99 0.9× 83 1.1× 74 1.3× 15 596
Matthew J. Meier Canada 17 193 0.9× 186 1.3× 53 0.5× 247 3.4× 50 0.8× 49 657
Albrecht Poth Germany 11 158 0.7× 188 1.3× 81 0.7× 165 2.3× 64 1.1× 21 439
Hao Le Thi Hong United States 13 190 0.8× 230 1.6× 23 0.2× 311 4.3× 103 1.7× 24 721
Gary R. Blackburn United States 17 303 1.3× 343 2.4× 43 0.4× 175 2.4× 63 1.1× 45 681
Hiroshi Kakishima Japan 8 172 0.8× 53 0.4× 52 0.5× 41 0.6× 11 0.2× 19 336
W.R.F. Notten Netherlands 13 178 0.8× 107 0.7× 14 0.1× 42 0.6× 53 0.9× 19 438
Abby Jacobs United States 7 110 0.5× 207 1.4× 61 0.5× 137 1.9× 48 0.8× 7 401

Countries citing papers authored by Betty C. Hakkert

Since Specialization
Citations

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

Fields of papers citing papers by Betty C. Hakkert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Betty C. Hakkert. 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 Betty C. Hakkert. The network helps show where Betty C. Hakkert may publish in the future.

Co-authorship network of co-authors of Betty C. Hakkert

This figure shows the co-authorship network connecting the top 25 collaborators of Betty C. Hakkert. A scholar is included among the top collaborators of Betty C. Hakkert 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 Betty C. Hakkert. Betty C. Hakkert 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.
Heringa, Minne B., et al.. (2020). Use of the kinetically-derived maximum dose concept in selection of top doses for toxicity studies hampers proper hazard assessment and risk management. Regulatory Toxicology and Pharmacology. 114. 104659–104659. 16 indexed citations
2.
Woutersen, Marjolijn, et al.. (2020). Regulating human safety: How dose selection in toxicity studies impacts human health hazard assessment and subsequent risk management options. Regulatory Toxicology and Pharmacology. 114. 104660–104660. 24 indexed citations
3.
Woutersen, Marjolijn, et al.. (2018). Does REACH provide sufficient information to regulate mutagenic and carcinogenic substances?. Human and Ecological Risk Assessment An International Journal. 25(8). 1996–2016. 17 indexed citations
4.
Kamp, Irene van, et al.. (2018). Why Do Countries Regulate Environmental Health Risks Differently? A Theoretical Perspective. Risk Analysis. 39(2). 439–461. 25 indexed citations
5.
Luijten, Mirjam, et al.. (2016). An integrative test strategy for cancer hazard identification. Critical Reviews in Toxicology. 46(7). 615–639. 27 indexed citations
6.
Ezendam, Janine, et al.. (2013). Evaluation of the performance of the reduced local lymph node assay for skin sensitization testing. Regulatory Toxicology and Pharmacology. 66(1). 66–71. 5 indexed citations
7.
Rorije, Emiel, Manon Beekhuijzen, Ulla Hass, et al.. (2011). On the impact of second generation mating and offspring in multi-generation reproductive toxicity studies on classification and labelling of substances in Europe. Regulatory Toxicology and Pharmacology. 61(2). 251–260. 25 indexed citations
8.
Jonker, Martijs J., Jillian de Wilde, Aart Verhoef, et al.. (2010). Finding maximal transcriptome differences between reprotoxic and non‐reprotoxic phthalate responses in rat testis. Journal of Applied Toxicology. 31(5). 421–430. 3 indexed citations
9.
Dang, ZhiChao, et al.. (2009). Retrospective analysis of relative parameter sensitivity in multi-generation reproductive toxicity studies. Reproductive Toxicology. 28(2). 196–202. 9 indexed citations
10.
Janer, Gemma, Betty C. Hakkert, Wout Slob, Theo Vermeire, & Aldert H. Piersma. (2008). A retrospective analysis of the two-generation study, author response to letter to the editor. Reproductive Toxicology. 25(4). 406–407. 2 indexed citations
11.
Janer, Gemma, et al.. (2007). A retrospective analysis of the added value of the rat two-generation reproductive toxicity study versus the rat subchronic toxicity study. Reproductive Toxicology. 24(1). 103–113. 17 indexed citations
12.
Piersma, Aldert H., Gemma Janer, Gerrit Wolterink, et al.. (2007). Quantitative Extrapolation of In Vitro Whole Embryo Culture Embryotoxicity Data to Developmental Toxicity In Vivo Using the Benchmark Dose Approach. Toxicological Sciences. 101(1). 91–100. 38 indexed citations
13.
Janer, Gemma, Betty C. Hakkert, Wout Slob, Theo Vermeire, & Aldert H. Piersma. (2007). A retrospective analysis of the two-generation study: What is the added value of the second generation?. Reproductive Toxicology. 24(1). 97–102. 46 indexed citations
14.
Janer, Gemma, Wout Slob, Betty C. Hakkert, Theo Vermeire, & Aldert H. Piersma. (2007). A retrospective analysis of developmental toxicity studies in rat and rabbit: What is the added value of the rabbit as an additional test species?. Regulatory Toxicology and Pharmacology. 50(2). 206–217. 40 indexed citations
15.
Cnubben, Nicole H.P., Graham R. Elliott, Betty C. Hakkert, W.J.A. Meuling, & Johannes J.M. van de Sandt. (2002). Comparative in Vitro–in Vivo Percutaneous Penetration of the Fungicide ortho-Phenylphenol. Regulatory Toxicology and Pharmacology. 35(2). 198–208. 43 indexed citations
16.
Vermeire, Theo, et al.. (1999). Assessment Factors for Human Health Risk Assessment: A Discussion Paper. Critical Reviews in Toxicology. 29(5). 439–490. 95 indexed citations
17.
18.
Hakkert, Betty C., et al.. (1990). A three‐dimensional model system to study the interactions between human leukocytes and endothelial cells. European Journal of Immunology. 20(12). 2775–2781. 29 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Alexandra Maertens Breakdown of academic impact, for papers by Sean C. Gehen Breakdown of academic impact, for papers by Dinant Kroese Breakdown of academic impact, for papers by Matthew J. Meier Breakdown of academic impact, for papers by Albrecht Poth Breakdown of academic impact, for papers by Hao Le Thi Hong Breakdown of academic impact, for papers by Gary R. Blackburn Breakdown of academic impact, for papers by Hiroshi Kakishima Breakdown of academic impact, for papers by W.R.F. Notten Breakdown of academic impact, for papers by Abby Jacobs
Rankless by CCL
2026