Monika Nendza

1.8k total citations
47 papers, 1.4k citations indexed

About

Monika Nendza is a scholar working on Health, Toxicology and Mutagenesis, Computational Theory and Mathematics and Environmental Chemistry. According to data from OpenAlex, Monika Nendza has authored 47 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Health, Toxicology and Mutagenesis, 21 papers in Computational Theory and Mathematics and 9 papers in Environmental Chemistry. Recurrent topics in Monika Nendza's work include Computational Drug Discovery Methods (21 papers), Environmental Toxicology and Ecotoxicology (17 papers) and Animal testing and alternatives (8 papers). Monika Nendza is often cited by papers focused on Computational Drug Discovery Methods (21 papers), Environmental Toxicology and Ecotoxicology (17 papers) and Animal testing and alternatives (8 papers). Monika Nendza collaborates with scholars based in Germany, Switzerland and Italy. Monika Nendza's co-authors include Gerrit Schüürmann, Rolf Altenburger, Martin Müller, Andrea Wenzel, Christine L. Russom, Andreas Gies, Carola Kussatz, Joachim K. Seydel, Sebastian Strempel and Anna Lombardo and has published in prestigious journals such as The Science of The Total Environment, Chemosphere and Environment International.

In The Last Decade

Monika Nendza

47 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Monika Nendza Germany 19 696 411 360 199 198 47 1.4k
Steven J. Broderius United States 18 917 1.3× 457 1.1× 484 1.3× 176 0.9× 131 0.7× 24 1.5k
F Busser Netherlands 18 1.3k 1.8× 713 1.7× 153 0.4× 130 0.7× 233 1.2× 25 1.9k
Yuanhui Zhao China 22 483 0.7× 503 1.2× 183 0.5× 176 0.9× 67 0.3× 61 1.3k
Li‐Tang Qin China 19 397 0.6× 398 1.0× 203 0.6× 127 0.6× 77 0.4× 65 1.1k
Hans Könemann Netherlands 7 844 1.2× 346 0.8× 317 0.9× 106 0.5× 175 0.9× 8 1.3k
Jack de Bruijn Netherlands 16 823 1.2× 504 1.2× 195 0.5× 122 0.6× 143 0.7× 23 1.4k
Mike Comber United Kingdom 20 696 1.0× 492 1.2× 252 0.7× 99 0.5× 114 0.6× 29 1.3k
Xianhai Yang China 22 572 0.8× 468 1.1× 227 0.6× 132 0.7× 115 0.6× 61 1.3k
Eñaut Urrestarazu Ramos Netherlands 12 525 0.8× 314 0.8× 181 0.5× 125 0.6× 163 0.8× 18 964
Masakazu Makino Japan 23 845 1.2× 461 1.1× 90 0.3× 187 0.9× 145 0.7× 81 1.9k

Countries citing papers authored by Monika Nendza

Since Specialization
Citations

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

Fields of papers citing papers by Monika Nendza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monika Nendza

This figure shows the co-authorship network connecting the top 25 collaborators of Monika Nendza. A scholar is included among the top collaborators of Monika Nendza 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 Monika Nendza. Monika Nendza 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
2.
Nendza, Monika & Jan Ahlers. (2022). Aquatic toxicity integrated testing and assessment strategies (ITS) for difficult substances: case study with thiochemicals. Environmental Sciences Europe. 34(1). 2 indexed citations
4.
Nendza, Monika, Martin Müller, & Andrea Wenzel. (2017). Classification of baseline toxicants for QSAR predictions to replace fish acute toxicity studies. Environmental Science Processes & Impacts. 19(3). 429–437. 14 indexed citations
5.
Nendza, Monika, Ralph Kühne, Anna Lombardo, Sebastian Strempel, & Gerrit Schüürmann. (2017). PBT assessment under REACH: Screening for low aquatic bioaccumulation with QSAR classifications based on physicochemical properties to replace BCF in vivo testing on fish. The Science of The Total Environment. 616-617. 97–106. 23 indexed citations
6.
Nendza, Monika, Andrea Wenzel, Martin Müller, et al.. (2016). Screening for potential endocrine disruptors in fish: evidence from structural alerts and in vitro and in vivo toxicological assays. Environmental Sciences Europe. 28(1). 26–26. 19 indexed citations
7.
Lombardo, Anna, Alessandra Roncaglioni, Monika Nendza, et al.. (2014). Integrated testing strategy (ITS) for bioaccumulation assessment under REACH. Environment International. 69. 40–50. 15 indexed citations
8.
Lombardo, Anna, Alessandra Roncaglioni, Emilio Benfenati, et al.. (2014). Optimizing the aquatic toxicity assessment under REACH through an integrated testing strategy (ITS). Environmental Research. 135. 156–164. 12 indexed citations
9.
Strempel, Sebastian, Monika Nendza, Martin Scheringer, & Konrad Hungerbühler. (2013). USING CONDITIONAL INFERENCE TREES AND RANDOM FORESTS TO PREDICT THE BIOACCUMULATION POTENTIAL OF ORGANIC CHEMICALS. Environmental Toxicology and Chemistry. 32(5). 1187–1195. 19 indexed citations
10.
Nendza, Monika & Martin Müller. (2010). Screening for low aquatic bioaccumulation (1): Lipinski's ‘Rule of 5’ and molecular size. SAR and QSAR in environmental research. 21(5-6). 495–512. 26 indexed citations
11.
Vonk, J. Arie, Romualdo Benigni, Mark Hewitt, et al.. (2009). The use of Mechanisms and Modes of Toxic Action in Integrated Testing Strategies: The Report and Recommendations of a Workshop held as part of the European Union OSIRIS Integrated Project. Alternatives to Laboratory Animals. 37(5). 557–571. 17 indexed citations
12.
Nendza, Monika. (2007). Hazard assessment of silicone oils (polydimethylsiloxanes, PDMS) used in antifouling-/foul-release-products in the marine environment. Marine Pollution Bulletin. 54(8). 1190–1196. 59 indexed citations
13.
Passerini, Laura, et al.. (1999). Toxicity of aryl- and benzylhalides to Daphnia magna and classification of their mode of action based on quantitative structure–activity relationship. Environmental Toxicology and Chemistry. 18(12). 2759–2766. 15 indexed citations
14.
Nendza, Monika. (1998). Structure—Activity Relationships in Environmental Sciences. 52 indexed citations
15.
Nendza, Monika, et al.. (1995). Cosolute Interactions on Aqueous Contaminant Concentrations. SAR and QSAR in environmental research. 3(4). 293–300. 3 indexed citations
16.
Nendza, Monika, et al.. (1995). Classification of Contaminants by Mode of Action Based onin vitroAssays. SAR and QSAR in environmental research. 4(1). 39–50. 15 indexed citations
17.
Nendza, Monika, et al.. (1993). Estimation of exposure and ecotoxicity related parameters by computer based structure‐property and structure‐activity relationships. Toxicological & Environmental Chemistry Reviews. 40(1-4). 57–69. 2 indexed citations
18.
Nendza, Monika, et al.. (1991). Predictive QSAR models for estimating ecotoxic hazard of plant-protecting agents: target and non-target toxicity. The Science of The Total Environment. 109-110. 527–535. 9 indexed citations
19.
Nendza, Monika & Joachim K. Seydel. (1988). Quantitative structure-toxicity relationships for ecotoxicologically relevant biotestsystems and chemicals. Chemosphere. 17(8). 1585–1602. 16 indexed citations
20.
Nendza, Monika & Joachim K. Seydel. (1988). Quantitative structure-toxicity relationships and multivariate data analysis for ecotoxic chemicals in different biotestsystems. Chemosphere. 17(8). 1575–1584. 7 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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