Eva Bay Wedebye

1.9k total citations · 1 hit paper
37 papers, 946 citations indexed

About

Eva Bay Wedebye is a scholar working on Computational Theory and Mathematics, Health, Toxicology and Mutagenesis and Molecular Biology. According to data from OpenAlex, Eva Bay Wedebye has authored 37 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Theory and Mathematics, 10 papers in Health, Toxicology and Mutagenesis and 8 papers in Molecular Biology. Recurrent topics in Eva Bay Wedebye's work include Computational Drug Discovery Methods (14 papers), Effects and risks of endocrine disrupting chemicals (9 papers) and Pharmacogenetics and Drug Metabolism (5 papers). Eva Bay Wedebye is often cited by papers focused on Computational Drug Discovery Methods (14 papers), Effects and risks of endocrine disrupting chemicals (9 papers) and Pharmacogenetics and Drug Metabolism (5 papers). Eva Bay Wedebye collaborates with scholars based in Denmark, Slovakia and United States. Eva Bay Wedebye's co-authors include Anne Marie Vinggaard, Marianne Dybdahl, Anna Kjerstine Rosenmai, Nikolai Georgiev Nikolov, Jay Russell Niemelä, Camilla Taxvig, Mikael Pedersen, Barbara M. A. van Vugt‐Lussenburg, Gunde Egeskov Jensen and Svava Ósk Jónsdóttir and has published in prestigious journals such as PLoS ONE, Chemosphere and Toxicology and Applied Pharmacology.

In The Last Decade

Eva Bay Wedebye

34 papers receiving 918 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Are Structural Analogues to Bisphenol A Safe Alternatives?

2014 364 citations Anna Kjerstine Rosenmai, Marianne Dybdahl et al. Toxicological Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eva Bay Wedebye Denmark	15	570	184	167	117	104	37	946
Agnes L. Karmaus United States	16	258 0.5×	275 1.5×	69 0.4×	209 1.8×	171 1.6×	28	790
Amber K. Goetz United States	14	279 0.5×	84 0.5×	142 0.9×	289 2.5×	38 0.4×	16	989
Ulrike Bernauer Germany	17	272 0.5×	51 0.3×	46 0.3×	181 1.5×	97 0.9×	40	851
Beate Nicol United Kingdom	13	274 0.5×	83 0.5×	38 0.2×	156 1.3×	146 1.4×	21	737
Catherine Mahony United Kingdom	17	255 0.4×	156 0.8×	31 0.2×	289 2.5×	266 2.6×	36	922
Corie A. Ellison United States	18	274 0.5×	51 0.3×	87 0.5×	57 0.5×	119 1.1×	34	749
Thomas G. Osimitz United States	19	231 0.4×	48 0.3×	98 0.6×	126 1.1×	25 0.2×	52	767
Satoshi Takatori Japan	14	608 1.1×	25 0.1×	185 1.1×	169 1.4×	12 0.1×	43	1.1k
Laurent Bodin France	14	155 0.3×	30 0.2×	62 0.4×	214 1.8×	38 0.4×	36	931
Naohiro Nishiyama Japan	21	163 0.3×	56 0.3×	96 0.6×	176 1.5×	302 2.9×	46	1.2k

Countries citing papers authored by Eva Bay Wedebye

Since Specialization

Citations

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

Fields of papers citing papers by Eva Bay Wedebye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Bay Wedebye. 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 Eva Bay Wedebye. The network helps show where Eva Bay Wedebye may publish in the future.

Co-authorship network of co-authors of Eva Bay Wedebye

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

All Works

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20 of 20 papers shown

Sørli, Jorid Birkelund, Karen Bo Frydendall, Eva Bay Wedebye, et al.. (2025). Toxicological potential of substances in spray-formulated degreasers and lubricants – With a literature review on asthma potentials of ammonia, maleic anhydride and methyl methacrylate. Toxicology. 519. 154312–154312. 1 indexed citations

Wedebye, Eva Bay, et al.. (2025). Development of recommendations for grouping of endocrine disruptors. TemaNord.

Wedebye, Eva Bay, et al.. (2025). Analytical testing strategy for identification and in silico toxicity assessment of non-intentionally added substances in repeatedly recycled flexible mono-plastic food contact material. Food Packaging and Shelf Life. 48. 101456–101456. 1 indexed citations

Basiri, Hassan, Steven J. Enoch, James W. Firman, et al.. (2025). Moving towards making (quantitative) structure-activity relationships ((Q)SARs) for toxicity-related endpoints findable, accessible, interoperable and reusable (FAIR). ALTEX. 42(4). 657–666.

Nikolov, Nikolai Georgiev, et al.. (2023). Orthogonal assay and QSAR modelling of Tox21 PPARγ antagonist in vitro high-throughput screening assay. Environmental Toxicology and Pharmacology. 105. 104347–104347. 1 indexed citations

Nikolov, Nikolai Georgiev, et al.. (2023). A method for in vitro data and structure curation to optimize for QSAR modelling of minimum absolute potency levels and a comparative use case. Environmental Toxicology and Pharmacology. 98. 104069–104069. 3 indexed citations

Jong, Esther de, Hilko van der Voet, Philip Marx‐Stoelting, et al.. (2022). Roadmap for action on Risk Assessment of Combined Exposure to Multiple Chemicals (RACEMiC). EFSA Supporting Publications. 19(10). 15 indexed citations

Sørli, Jorid Birkelund, Marie Frederiksen, Nikolai Georgiev Nikolov, Eva Bay Wedebye, & Niels Hadrup. (2022). Identification of substances with a carcinogenic potential in spray-formulated engine/brake cleaners and lubricating products, available in the European Union (EU) – based on IARC and EU-harmonised classifications and QSAR predictions. Toxicology. 477. 153261–153261. 8 indexed citations

Hadrup, Niels, Marie Frederiksen, Eva Bay Wedebye, et al.. (2021). Asthma‐inducing potential of 28 substances in spray cleaning products—Assessed by quantitative structure activity relationship (QSAR) testing and literature review. Journal of Applied Toxicology. 42(1). 130–153. 18 indexed citations

10.

Rosenmai, Anna Kjerstine, Sofia Boeg Winge, Johan Lundqvist, et al.. (2020). Organophosphate ester flame retardants have antiandrogenic potential and affect other endocrine related endpoints in vitro and in silico. Chemosphere. 263. 127703–127703. 66 indexed citations

11.

Rosenberg, Sine Abildgaard, et al.. (2019). QSAR modelling of a large imbalanced aryl hydrocarbon activation dataset by rational and random sampling and screening of 80,086 REACH pre-registered and/or registered substances. PLoS ONE. 14(3). e0213848–e0213848. 17 indexed citations

12.

Rosenberg, Sine Abildgaard, Eric D. Watt, Richard Judson, et al.. (2017). QSAR models for thyroperoxidase inhibition and screening of U.S. and EU chemical inventories. Computational Toxicology. 4. 11–21. 22 indexed citations

13.

Wedebye, Eva Bay, Marianne Dybdahl, Nikolai Georgiev Nikolov, Svava Ósk Jónsdóttir, & Jay Russell Niemelä. (2015). QSAR screening of 70,983 REACH substances for genotoxic carcinogenicity, mutagenicity and developmental toxicity in the ChemScreen project. Reproductive Toxicology. 55. 64–72. 23 indexed citations

14.

Burg, Bart van der, Eva Bay Wedebye, Daniel R. Dietrich, et al.. (2015). The ChemScreen project to design a pragmatic alternative approach to predict reproductive toxicity of chemicals. Reproductive Toxicology. 55. 114–123. 21 indexed citations

15.

Bredsdorff, Lea, et al.. (2015). Raspberry ketone in food supplements – High intake, few toxicity data – A cause for safety concern?. Regulatory Toxicology and Pharmacology. 73(1). 196–200. 44 indexed citations

16.

Rosenmai, Anna Kjerstine, Marianne Dybdahl, Mikael Pedersen, et al.. (2014). Are Structural Analogues to Bisphenol A Safe Alternatives?. Toxicological Sciences. 139(1). 35–47. 364 indexed citations breakdown →

17.

Nikolov, Nikolai Georgiev, Marianne Dybdahl, Svava Ósk Jónsdóttir, & Eva Bay Wedebye. (2014). hERG blocking potential of acids and zwitterions characterized by three thresholds for acidity, size and reactivity. Bioorganic & Medicinal Chemistry. 22(21). 6004–6013. 2 indexed citations

18.

Jónsdóttir, Svava Ósk, et al.. (2012). Identification of cytochrome P450 2D6 and 2C9 substrates and inhibitors by QSAR analysis. Bioorganic & Medicinal Chemistry. 20(6). 2042–2053. 10 indexed citations

19.

Dybdahl, Marianne, Nikolai Georgiev Nikolov, Eva Bay Wedebye, Svava Ósk Jónsdóttir, & Jay Russell Niemelä. (2012). QSAR model for human pregnane X receptor (PXR) binding: Screening of environmental chemicals and correlations with genotoxicity, endocrine disruption and teratogenicity. Toxicology and Applied Pharmacology. 262(3). 301–309. 26 indexed citations

20.

Patlewicz, Grace, S. Dimitrov, Lawrence K. Low, et al.. (2007). TIMES-SS—A promising tool for the assessment of skin sensitization hazard. A characterization with respect to the OECD validation principles for (Q)SARs and an external evaluation for predictivity. Regulatory Toxicology and Pharmacology. 48(2). 225–239. 78 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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