Andrea Haase

5.8k total citations · 1 hit paper
107 papers, 3.7k citations indexed

About

Andrea Haase is a scholar working on Materials Chemistry, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Andrea Haase has authored 107 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Materials Chemistry, 25 papers in Molecular Biology and 18 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Andrea Haase's work include Nanoparticles: synthesis and applications (40 papers), Graphene and Nanomaterials Applications (10 papers) and Microplastics and Plastic Pollution (10 papers). Andrea Haase is often cited by papers focused on Nanoparticles: synthesis and applications (40 papers), Graphene and Nanomaterials Applications (10 papers) and Microplastics and Plastic Pollution (10 papers). Andrea Haase collaborates with scholars based in Germany, Netherlands and United Kingdom. Andrea Haase's co-authors include Andreas Luch, Kenneth A. Dawson, Iseult Lynch, Andreas Taubert, Alexandre Mantion, Jutta Tentschert, Peter R. Reeves, Philipp Graf, G. Bräuer and Johanna Plendl and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and ACS Nano.

In The Last Decade

Andrea Haase

104 papers receiving 3.6k citations

Hit Papers

align trajectories sort by overperformance

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.

Mechanisms of Silver Nanoparticle Release, Transformation and Toxicity: A Critical Review of Current Knowledge and Recommendations for Future Studies and Applications

2013 804 citations Andrea Haase, Andreas Luch et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrea Haase Germany	33	1.9k	1.0k	557	456	446	107	3.7k
Ting Zhang China	35	2.1k 1.1×	906 0.9×	717 1.3×	617 1.4×	343 0.8×	161	4.2k
Salman Alrokayan Saudi Arabia	33	2.3k 1.2×	1.3k 1.3×	835 1.5×	401 0.9×	748 1.7×	184	4.6k
Vyom Sharma India	21	2.2k 1.1×	837 0.8×	453 0.8×	742 1.6×	369 0.8×	51	3.6k
Beom Seok Han South Korea	25	2.4k 1.2×	914 0.9×	564 1.0×	875 1.9×	720 1.6×	58	4.0k
Alok K. Pandey India	33	2.3k 1.2×	960 1.0×	559 1.0×	1.1k 2.3×	297 0.7×	77	4.2k
Peter Laux Germany	38	941 0.5×	999 1.0×	518 0.9×	283 0.6×	357 0.8×	97	3.5k
Nagendra Kumar Kaushik India	46	1.5k 0.8×	1.2k 1.2×	1.3k 2.3×	166 0.4×	504 1.1×	331	8.0k
Ajay Vikram Singh Germany	43	1.3k 0.7×	1.9k 1.9×	1.0k 1.8×	183 0.4×	693 1.6×	131	5.3k
Yan Zhang China	42	1.3k 0.7×	646 0.6×	1.8k 3.3×	118 0.3×	636 1.4×	272	6.2k
Byoung Chan Kim South Korea	43	1.6k 0.8×	1.6k 1.6×	2.2k 3.9×	198 0.4×	559 1.3×	125	5.7k

Countries citing papers authored by Andrea Haase

Since Specialization

Citations

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

Fields of papers citing papers by Andrea Haase

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Haase

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

Dekkers, Susan, Véronique Adam, Andrea Haase, et al.. (2025). Safe‐and‐Sustainable‐by‐Design Approach and Decision Support System for Advanced Materials. Advanced Sustainable Systems. 9(10). 1 indexed citations

Vennemann, Antje, et al.. (2025). Predicting the morphology-driven pathogenicity of nanofibers through proteomic profiling. Nano Today. 65. 102812–102812.

Wohlleben, Wendel, Michael Persson, Blanca Suárez-Merino, et al.. (2024). Advanced materials earliest assessment (AMEA). Environmental Science Nano. 11(7). 2948–2967. 7 indexed citations

Pfohl, Patrizia, et al.. (2024). Desorption of Polycyclic Aromatic Hydrocarbons from Microplastics in Human Gastrointestinal Fluid Simulants─Implications for Exposure Assessment. ACS Omega. 9(23). 24281–24290. 9 indexed citations

Vogel, Arndt, Jutta Tentschert, Raymond Pieters, et al.. (2024). Towards a risk assessment framework for micro- and nanoplastic particles for human health. Particle and Fibre Toxicology. 21(1). 48–48. 15 indexed citations

Haase, Andrea, José G. Barroso, Alessia Bogni, et al.. (2024). Proposal for a qualification system for New Approach Methodologies (NAMs) in the food and feed sector: example of implementation for nanomaterial risk assessment. EFSA Supporting Publications. 21(9). 9 indexed citations

Haase, Andrea, et al.. (2023). PROTEOMAS: a workflow enabling harmonized proteomic meta-analysis and proteomic signature mapping. Journal of Cheminformatics. 15(1). 10 indexed citations

Pfohl, Patrizia, et al.. (2022). A comparative investigation of the sorption of polycyclic aromatic hydrocarbons to various polydisperse micro- and nanoplastics using a novel third-phase partition method. SHILAP Revista de lepidopterología. 2(1). 15 indexed citations

Seleci, Didem Ag, Georgia Tsiliki, Kai Werle, et al.. (2022). Determining nanoform similarity via assessment of surface reactivity by abiotic and in vitro assays. NanoImpact. 26. 100390–100390. 24 indexed citations

10.

Cristo, Luisana Di, Agnes G. Oomen, Susan Dekkers, et al.. (2021). Grouping Hypotheses and an Integrated Approach to Testing and Assessment of Nanomaterials Following Oral Ingestion. Nanomaterials. 11(10). 2623–2623. 26 indexed citations

11.

Jeliazkova, Nina, Eric A.J. Bleeker, Richard K. Cross, et al.. (2021). How can we justify grouping of nanoforms for hazard assessment? Concepts and tools to quantify similarity. NanoImpact. 25. 100366–100366. 32 indexed citations

12.

Zhang, Zhen, Oliver Kappenstein, Emmanuel Ruggiero, et al.. (2020). Investigating ion-release from nanocomposites in food simulant solutions: Case studies contrasting kaolin, CaCO3 and Cu-phthalocyanine. Food Packaging and Shelf Life. 26. 100560–100560. 2 indexed citations

13.

Karkossa, Isabel, Peter Nollau, Katja Kettler, et al.. (2019). A multi-omics approach reveals mechanisms of nanomaterial toxicity and structure–activity relationships in alveolar macrophages. Nanotoxicology. 14(2). 181–195. 31 indexed citations

14.

Karkossa, Isabel, Bryan Hellack, Peter Nollau, et al.. (2019). An in-depth multi-omics analysis in RLE-6TN rat alveolar epithelial cells allows for nanomaterial categorization. Particle and Fibre Toxicology. 16(1). 38–38. 25 indexed citations

15.

Gruber, Alexandra, et al.. (2019). <p>Amphiphilic nanogels: influence of surface hydrophobicity on protein corona, biocompatibility and cellular uptake</p>. International Journal of Nanomedicine. Volume 14. 7861–7878. 45 indexed citations

16.

Wohlleben, Wendel, Bryan Hellack, Carmen Nickel, et al.. (2019). The nanoGRAVUR framework to group (nano)materials for their occupational, consumer, environmental risks based on a harmonized set of material properties, applied to 34 case studies. Nanoscale. 11(38). 17637–17654. 39 indexed citations

17.

Baumgart, Sabine, Wolfram Bremser, Andreas Grützkau, et al.. (2018). Quantification of silver nanoparticles taken up by single cells using inductively coupled plasma mass spectrometry in the single cell measurement mode. Journal of Analytical Atomic Spectrometry. 33(7). 1256–1263. 36 indexed citations

18.

Gajewicz, Agnieszka, Tomasz Puzyn, Piotr Urbaszek, et al.. (2017). Decision tree models to classify nanomaterials according to the DF4nanoGrouping scheme. Nanotoxicology. 12(1). 1–17. 57 indexed citations

19.

Watson, Oliver J., Peter Novodvorský, Caroline Gray, et al.. (2013). Blood flow suppresses vascular Notch signalling via dll4 and is required for angiogenesis in response to hypoxic signalling. Cardiovascular Research. 100(2). 252–261. 37 indexed citations

20.

Haase, Andrea, et al.. (1993). Molecular analysis of the 3,6-dideoxyhexose pathway genes of Yersinia pseudotuberculosis serogroup IIA. Journal of Bacteriology. 175(5). 1412–1422. 55 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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