Andrea-Nicole Richarz

1.3k total citations
28 papers, 822 citations indexed

About

Andrea-Nicole Richarz is a scholar working on Computational Theory and Mathematics, Health, Toxicology and Mutagenesis and Small Animals. According to data from OpenAlex, Andrea-Nicole Richarz has authored 28 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Theory and Mathematics, 12 papers in Health, Toxicology and Mutagenesis and 9 papers in Small Animals. Recurrent topics in Andrea-Nicole Richarz's work include Computational Drug Discovery Methods (16 papers), Animal testing and alternatives (9 papers) and Effects and risks of endocrine disrupting chemicals (8 papers). Andrea-Nicole Richarz is often cited by papers focused on Computational Drug Discovery Methods (16 papers), Animal testing and alternatives (9 papers) and Effects and risks of endocrine disrupting chemicals (8 papers). Andrea-Nicole Richarz collaborates with scholars based in United Kingdom, Italy and Germany. Andrea-Nicole Richarz's co-authors include M Cronin, P. Brätter, Andrew Worth, T.W. Schultz, Alicia Paini, Christian Wolf, Andreas Prange, Stephanie K. Bopp, Nikolaos Parissis and Aude Kienzler and has published in prestigious journals such as The Analyst, Toxicology and Analytical and Bioanalytical Chemistry.

In The Last Decade

Andrea-Nicole Richarz

27 papers receiving 804 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrea-Nicole Richarz United Kingdom	17	310	232	181	102	100	28	822
Caroline Ring United States	15	519 1.7×	143 0.6×	171 0.9×	132 1.3×	87 0.9×	39	845
Emiel Rorije Netherlands	22	449 1.4×	191 0.8×	167 0.9×	201 2.0×	116 1.2×	72	1.1k
Enrico Mombelli France	18	227 0.7×	309 1.3×	60 0.3×	466 4.6×	78 0.8×	44	1.1k
Eva Bay Wedebye Denmark	15	570 1.8×	184 0.8×	104 0.6×	117 1.1×	85 0.8×	37	946
Agnes L. Karmaus United States	16	258 0.8×	275 1.2×	171 0.9×	209 2.0×	68 0.7×	28	790
Naohiro Nishiyama Japan	21	163 0.5×	56 0.2×	302 1.7×	176 1.7×	147 1.5×	46	1.2k
Inthirany Thillainadarajah United States	8	346 1.1×	216 0.9×	85 0.5×	205 2.0×	88 0.9×	9	794
Steve Gutsell United Kingdom	15	216 0.7×	255 1.1×	122 0.7×	160 1.6×	88 0.9×	33	649
Paul Russell United Kingdom	14	84 0.3×	209 0.9×	56 0.3×	300 2.9×	46 0.5×	48	846
Alberto Manganaro Italy	20	337 1.1×	607 2.6×	108 0.6×	253 2.5×	153 1.5×	41	1.2k

Countries citing papers authored by Andrea-Nicole Richarz

Since Specialization

Citations

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

Fields of papers citing papers by Andrea-Nicole Richarz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrea-Nicole Richarz. 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 Andrea-Nicole Richarz. The network helps show where Andrea-Nicole Richarz may publish in the future.

Co-authorship network of co-authors of Andrea-Nicole Richarz

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea-Nicole Richarz. A scholar is included among the top collaborators of Andrea-Nicole Richarz 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 Andrea-Nicole Richarz. Andrea-Nicole Richarz 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

Cronin, M, Steven J. Enoch, Judith C. Madden, et al.. (2022). A review of in silico toxicology approaches to support the safety assessment of cosmetics-related materials. Computational Toxicology. 21. 100213–100213. 28 indexed citations

Bopp, Stephanie K., Aude Kienzler, Andrea-Nicole Richarz, et al.. (2019). Regulatory assessment and risk management of chemical mixtures: challenges and ways forward. Critical Reviews in Toxicology. 49(2). 174–189. 144 indexed citations

Wittwehr, Clemens, Paul Blomstedt, John Paul Gosling, et al.. (2019). Artificial Intelligence for chemical risk assessment. Computational Toxicology. 13. 100114–100114. 27 indexed citations

Cronin, M, Andrea-Nicole Richarz, & T.W. Schultz. (2019). Identification and description of the uncertainty, variability, bias and influence in quantitative structure-activity relationships (QSARs) for toxicity prediction. Regulatory Toxicology and Pharmacology. 106. 90–104. 42 indexed citations

Patlewicz, Grace, Lucina E. Lizarraga, Diego Rua, et al.. (2019). Exploring current read-across applications and needs among selected U.S. Federal Agencies. Regulatory Toxicology and Pharmacology. 106. 197–209. 25 indexed citations

Neagu, Daniel & Andrea-Nicole Richarz. (2019). Big Data in Predictive Toxicology. Bradford Scholars (University of Bradford). 11 indexed citations

Lamon, Lara, David Asturiol, Andrea-Nicole Richarz, et al.. (2018). Grouping of nanomaterials to read-across hazard endpoints: from data collection to assessment of the grouping hypothesis by application of chemoinformatic techniques. Particle and Fibre Toxicology. 15(1). 37–37. 43 indexed citations

Schultz, T.W., Andrea-Nicole Richarz, & M Cronin. (2018). Assessing uncertainty in read-across: Questions to evaluate toxicity predictions based on knowledge gained from case studies. Computational Toxicology. 9. 1–11. 43 indexed citations

Cronin, M & Andrea-Nicole Richarz. (2017). Relationship Between Adverse Outcome Pathways and Chemistry-Based In Silico Models to Predict Toxicity. Liverpool John Moores University. 3(4). 286–297. 28 indexed citations

10.

Richarz, Andrea-Nicole, Aggelos Avramopoulos, Emilio Benfenati, et al.. (2017). Compilation of Data and Modelling of Nanoparticle Interactions and Toxicity in the NanoPUZZLES Project. Advances in experimental medicine and biology. 947. 303–324. 10 indexed citations

11.

Tsakovska, Ivanka, Ilza Pajeva, Petko Alov, et al.. (2017). Quantitative structure-skin permeability relationships. Toxicology. 387. 27–42. 72 indexed citations

12.

Paini, Alicia, Andrea-Nicole Richarz, Thorsten Meinl, et al.. (2017). Automated workflows for modelling chemical fate, kinetics and toxicity. Toxicology in Vitro. 45(Pt 2). 249–257. 8 indexed citations

13.

Berggren, Elisabet, Andrew White, Gladys Ouédraogo, et al.. (2017). Ab initio chemical safety assessment: A workflow based on exposure considerations and non-animal methods. Computational Toxicology. 4. 31–44. 71 indexed citations

14.

Schultz, T.W., Katarzyna R. Przybylak, Andrea-Nicole Richarz, et al.. (2017). Read-across of 90-day rat oral repeated-dose toxicity: A case study for selected 2-alkyl-1-alkanols. Computational Toxicology. 2. 28–38. 16 indexed citations

15.

Robinson, Richard Marchese, M Cronin, Andrea-Nicole Richarz, & Robert Ralló. (2015). An ISA-TAB-Nano based data collection framework to support data-driven modelling of nanotoxicology. Beilstein Journal of Nanotechnology. 6. 1978–1999. 24 indexed citations

16.

Richarz, Andrea-Nicole, Petko Alov, Steven J. Enoch, et al.. (2015). In silico chemistry-based workflows to facilitate ADMET prediction for cosmetics-related substances. Toxicology Letters. 238(2). S170–S170. 2 indexed citations

17.

Richarz, Andrea-Nicole, Christian Wolf, & P. Brätter. (2003). Determination of protein-bound trace elements in human cell cytosols of different organs and different pathological states. The Analyst. 128(6). 640–645. 10 indexed citations

18.

Wolf, Christian, Dirk Schaumlöffel, Andrea-Nicole Richarz, Andreas Prange, & P. Brätter. (2003). CZE-ICP-MS separation of metallothioneins in human brain cytosols: comparability of electropherograms obtained from different sample matrices. The Analyst. 128(6). 576–580. 27 indexed citations

19.

Richarz, Andrea-Nicole & P. Brätter. (2002). Speciation analysis of trace elements in the brains of individuals with Alzheimer's disease with special emphasis on metallothioneins. Analytical and Bioanalytical Chemistry. 372(3). 412–417. 44 indexed citations

20.

Prange, Andreas, Dirk Schaumlöffel, P. Brätter, Andrea-Nicole Richarz, & Christian Wolf. (2001). Species analysis of metallothionein isoforms in human brain cytosols by use of capillary electrophoresis hyphenated to inductively coupled plasma–sector field mass spectrometry. Fresenius Journal of Analytical Chemistry. 371(6). 764–774. 80 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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