Wieneke Bil

955 total citations · 1 hit paper
16 papers, 452 citations indexed

About

Wieneke Bil is a scholar working on Health, Toxicology and Mutagenesis, Environmental Chemistry and Dermatology. According to data from OpenAlex, Wieneke Bil has authored 16 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Health, Toxicology and Mutagenesis, 7 papers in Environmental Chemistry and 4 papers in Dermatology. Recurrent topics in Wieneke Bil's work include Effects and risks of endocrine disrupting chemicals (7 papers), Per- and polyfluoroalkyl substances research (7 papers) and Toxic Organic Pollutants Impact (7 papers). Wieneke Bil is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (7 papers), Per- and polyfluoroalkyl substances research (7 papers) and Toxic Organic Pollutants Impact (7 papers). Wieneke Bil collaborates with scholars based in Netherlands, United Kingdom and Austria. Wieneke Bil's co-authors include Bas Bokkers, Marco J. Zeilmaker, Mirjam Luijten, Maria Uhl, Rob J. Vandebriel, Eric Verbruggen, Johannes Lijzen, Styliani Fragki, Claudia Gundacker and Berit Granum and has published in prestigious journals such as Environmental Health Perspectives, Environment International and International Journal of Environmental Research and Public Health.

In The Last Decade

Wieneke Bil

15 papers receiving 435 citations

Hit Papers

Consideration of pathways for immunotoxicity of per- and ... 2023 2026 2024 2025 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wieneke Bil Netherlands 10 288 268 67 52 28 16 452
Carey B. Copeland United States 13 211 0.7× 346 1.3× 29 0.4× 18 0.3× 24 0.9× 24 543
Kuan‐Yen Tung Taiwan 7 146 0.5× 183 0.7× 32 0.5× 17 0.3× 80 2.9× 9 327
William J. Fasano United States 11 418 1.5× 402 1.5× 129 1.9× 103 2.0× 9 0.3× 15 644
Massimo Ferrari Italy 7 198 0.7× 232 0.9× 31 0.5× 9 0.2× 29 1.0× 8 352
Kathleen McGovern United States 6 133 0.5× 289 1.1× 15 0.2× 13 0.3× 28 1.0× 7 403
Ryan C. Lewis United States 10 187 0.6× 402 1.5× 35 0.5× 10 0.2× 18 0.6× 22 666
Dina Dobraca United States 10 110 0.4× 230 0.9× 19 0.3× 8 0.2× 19 0.7× 11 378
Youping Tian China 10 236 0.8× 259 1.0× 56 0.8× 4 0.1× 8 0.3× 18 421
Rosa Lange Germany 12 81 0.3× 410 1.5× 18 0.3× 9 0.2× 10 0.4× 15 517
Mara Seeley United States 6 139 0.5× 219 0.8× 33 0.5× 4 0.1× 9 0.3× 9 298

Countries citing papers authored by Wieneke Bil

Since Specialization
Citations

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

Fields of papers citing papers by Wieneke Bil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wieneke Bil

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

All Works

16 of 16 papers shown
1.
Bil, Wieneke, et al.. (2025). Mixture risk assessment approaches to evaluate oral exposure to PFAS: Outputs and recommendations of an expert workshop. Regulatory Toxicology and Pharmacology. 162. 105907–105907.
3.
Bil, Wieneke, Rob J. Vandebriel, Berit Granum, et al.. (2023). Consideration of pathways for immunotoxicity of per- and polyfluoroalkyl substances (PFAS). Environmental Health. 22(1). 19–19. 160 indexed citations breakdown →
4.
Luijten, Mirjam, Jelle Vlaanderen, Andreas Kortenkamp, et al.. (2023). Mixture risk assessment and human biomonitoring: Lessons learnt from HBM4EU. International Journal of Hygiene and Environmental Health. 249. 114135–114135. 14 indexed citations
5.
Bil, Wieneke, Rob J. Vandebriel, Marco J. Zeilmaker, et al.. (2023). Internal relative potency factors based on immunotoxicity for the risk assessment of mixtures of per- and polyfluoroalkyl substances (PFAS) in human biomonitoring. Environment International. 171. 107727–107727. 27 indexed citations
6.
Uhl, Maria, Greet Schoeters, Eva Govarts, et al.. (2023). PFASs: What can we learn from the European Human Biomonitoring Initiative HBM4EU. International Journal of Hygiene and Environmental Health. 250. 114168–114168. 25 indexed citations
7.
Staal, Yvonne C.M., Wieneke Bil, Bas Bokkers, et al.. (2022). Challenges in Predicting the Change in the Cumulative Exposure of New Tobacco and Related Products Based on Emissions and Toxicity Dose–Response Data. International Journal of Environmental Research and Public Health. 19(17). 10528–10528. 3 indexed citations
8.
Bil, Wieneke, Marco J. Zeilmaker, & Bas Bokkers. (2022). Internal Relative Potency Factors for the Risk Assessment of Mixtures of Per- and Polyfluoroalkyl Substances (PFAS) in Human Biomonitoring. Environmental Health Perspectives. 130(7). 77005–77005. 24 indexed citations
9.
Bil, Wieneke, Rob J. Vandebriel, Marco J. Zeilmaker, et al.. (2022). Internal Relative Potency Factors Based on Immunotoxicity for the Risk Assessment of Mixtures of Per- and Polyfluoroalkyl Substances (PFAS) in Human Biomonitoring. SSRN Electronic Journal. 1 indexed citations
10.
Rousselle, Christophe, et al.. (2022). Using Human Biomonitoring Data to Support Risk Assessment of Cosmetic Ingredients—A Case Study of Benzophenone-3. Toxics. 10(2). 96–96. 6 indexed citations
11.
Staal, Yvonne C.M., et al.. (2021). Conceptual model for the evaluation of attractiveness, addictiveness and toxicity of tobacco and related products: The example of JUUL e-cigarettes. Regulatory Toxicology and Pharmacology. 127. 105077–105077. 7 indexed citations
12.
Slob, Wout, Lya G. Soeteman‐Hernández, Wieneke Bil, et al.. (2020). A Method for Comparing the Impact on Carcinogenicity of Tobacco Products: A Case Study on Heated Tobacco Versus Cigarettes. Risk Analysis. 40(7). 1355–1366. 24 indexed citations
13.
Bil, Wieneke, Marco J. Zeilmaker, Styliani Fragki, et al.. (2020). Risk Assessment of Per- and Polyfluoroalkyl Substance Mixtures: A Relative Potency Factor Approach. Environmental Toxicology and Chemistry. 40(3). 859–870. 98 indexed citations
14.
Bil, Wieneke, Sebastiaan A. S. van der Bent, Sander W. Spiekstra, et al.. (2018). Comparison of the skin sensitization potential of 3 red and 2 black tattoo inks using interleukin‐18 as a biomarker in a reconstructed human skin model. Contact Dermatitis. 79(6). 336–345. 29 indexed citations
15.
Bil, Wieneke, A. Gerlienke Schuur, Janine Ezendam, & Bas Bokkers. (2017). Probabilistic derivation of the interspecies assessment factor for skin sensitization. Regulatory Toxicology and Pharmacology. 88. 34–44. 12 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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