Anja Schuster

2.2k total citations
27 papers, 1.6k citations indexed

About

Anja Schuster is a scholar working on Materials Chemistry, Pulmonary and Respiratory Medicine and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Anja Schuster has authored 27 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Materials Chemistry, 8 papers in Pulmonary and Respiratory Medicine and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Anja Schuster's work include Nanoparticles: synthesis and applications (9 papers), Occupational and environmental lung diseases (6 papers) and Air Quality and Health Impacts (4 papers). Anja Schuster is often cited by papers focused on Nanoparticles: synthesis and applications (9 papers), Occupational and environmental lung diseases (6 papers) and Air Quality and Health Impacts (4 papers). Anja Schuster collaborates with scholars based in United Kingdom, Austria and Germany. Anja Schuster's co-authors include Ken Donaldson, Fiona Murphy, Craig A. Poland, William MacNee, Alan Jones, Rodger Duffin, Marion MacFarlane, Tatyana Chernova, Lang Tran and Wan‐Seob Cho and has published in prestigious journals such as Advanced Materials, Accounts of Chemical Research and ACS Nano.

In The Last Decade

Anja Schuster

23 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anja Schuster United Kingdom 15 899 594 377 352 175 27 1.6k
James F. Scabilloni United States 15 921 1.0× 384 0.6× 378 1.0× 548 1.6× 178 1.0× 17 1.5k
Sherri Friend United States 22 643 0.7× 387 0.7× 329 0.9× 568 1.6× 241 1.4× 59 1.8k
Mohammed Arras Belgium 11 616 0.7× 369 0.6× 473 1.3× 281 0.8× 147 0.8× 13 1.4k
Olga Gorelik United States 9 1.5k 1.7× 723 1.2× 244 0.6× 648 1.8× 153 0.9× 17 2.0k
Sarah Søs Poulsen Denmark 21 755 0.8× 296 0.5× 193 0.5× 501 1.4× 158 0.9× 40 1.5k
Hedwig Braakhuis Netherlands 21 607 0.7× 237 0.4× 228 0.6× 458 1.3× 115 0.7× 31 1.3k
Silke Treumann Germany 14 779 0.9× 309 0.5× 162 0.4× 402 1.1× 91 0.5× 21 1.2k
Anda R. Gliga Sweden 14 1.0k 1.2× 533 0.9× 98 0.3× 373 1.1× 244 1.4× 30 1.6k
Margriet V.D.Z. Park Netherlands 20 1.6k 1.8× 796 1.3× 230 0.6× 598 1.7× 262 1.5× 25 2.5k
Matthew Boyles United Kingdom 18 618 0.7× 389 0.7× 149 0.4× 202 0.6× 235 1.3× 33 1.3k

Countries citing papers authored by Anja Schuster

Since Specialization
Citations

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

Fields of papers citing papers by Anja Schuster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anja Schuster

This figure shows the co-authorship network connecting the top 25 collaborators of Anja Schuster. A scholar is included among the top collaborators of Anja Schuster 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 Anja Schuster. Anja Schuster 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
1.
Schuster, Anja, et al.. (2025). Correlation between SARS-CoV-2-specific antibody titers and the hormones DHEA, cortisol, testosterone, and progesterone. Frontiers in Immunology. 16. 1560623–1560623.
2.
Sepperer, Thomas, Michael Gadermayr, Markus Himmelsbach, et al.. (2025). Leveraging crude extracts from European tree bark to combat oxidative stress, enhance wound healing, and inhibit pathogenic bacterial growth. Scientific Reports. 15(1). 21340–21340.
3.
Qin, Xian, Dirk Enke, Johann P. Klare, et al.. (2024). Increased Readiness for Water Splitting: NiO‐Induced Weakening of Bonds in Water Molecules as Possible Cause of Ultra‐Low Oxygen Evolution Potential. Small. 20(30). e2310665–e2310665. 7 indexed citations
4.
5.
Schnabel, Thomas, et al.. (2023). Antioxidative and Antimicrobial Evaluation of Bark Extracts from Common European Trees in Light of Dermal Applications. Antibiotics. 12(1). 130–130. 17 indexed citations
6.
Schuster, Anja, et al.. (2023). Factors Affecting SARS-CoV-2 IgG Production after Vaccination and/or Disease: A Large-Scale Seroprevalence Study. Vaccines. 11(10). 1615–1615. 4 indexed citations
7.
Schäfer, Helmut, et al.. (2023). The Readiness of Water Molecules to Split into Hydrogen + Oxygen: A Proposed New Aspect of Water Splitting. Advanced Materials. 35(30). e2300099–e2300099. 14 indexed citations
8.
Schuster, Anja, et al.. (2022). Antimicrobial Activity and Wound-Healing Capacity of Birch, Beech and Larch Bark Extracts. Molecules. 27(9). 2817–2817. 15 indexed citations
9.
10.
Mohamed, Bashir M., Noreen T. Boyle, Anja Schuster, et al.. (2018). Induction of protein citrullination and auto-antibodies production in murine exposed to nickel nanomaterials. Scientific Reports. 8(1). 679–679. 16 indexed citations
11.
Chernova, Tatyana, Fiona Murphy, Sara Galavotti, et al.. (2017). Long-Fiber Carbon Nanotubes Replicate Asbestos-Induced Mesothelioma with Disruption of the Tumor Suppressor Gene Cdkn2a ( Ink4a/Arf ). Current Biology. 27(21). 3302–3314.e6. 83 indexed citations
12.
Seys, Leen, Anne Verhamme, Anja Schuster, et al.. (2015). Role of B Cell–Activating Factor in Chronic Obstructive Pulmonary Disease. American Journal of Respiratory and Critical Care Medicine. 192(6). 706–718. 84 indexed citations
13.
Donaldson, Ken, Craig A. Poland, Fiona Murphy, et al.. (2013). Pulmonary toxicity of carbon nanotubes and asbestos — Similarities and differences. Advanced Drug Delivery Reviews. 65(15). 2078–2086. 234 indexed citations
14.
Schuster, Anja, Fiona Murphy, Alexandros Askounis, et al.. (2013). Minimal oxidation and inflammogenicity of pristine graphene with residence in the lung. Nanotoxicology. 8(8). 824–832. 57 indexed citations
15.
16.
Murphy, Fiona, Anja Schuster, Craig A. Poland, & Ken Donaldson. (2012). The mechanism of pleural inflammation by long carbon nanotubes: interaction of long fibres with macrophages stimulates them to amplify pro-inflammatory responses in mesothelial cells. Particle and Fibre Toxicology. 9(1). 8–8. 167 indexed citations
17.
Schuster, Anja, Fiona Murphy, Adriele Prina‐Mello, et al.. (2012). The Threshold Length for Fiber-Induced Acute Pleural Inflammation: Shedding Light on the Early Events in Asbestos-Induced Mesothelioma. Toxicological Sciences. 128(2). 461–470. 137 indexed citations
18.
Donaldson, Ken, Fiona Murphy, Anja Schuster, Rodger Duffin, & Craig A. Poland. (2010). Identifying The Pulmonary Hazard of High Aspect Ratio Nanoparticles to Enable their Safety-By-Design. Nanomedicine. 6(1). 143–156. 153 indexed citations
19.
Schuster, Anja, et al.. (2001). Cellular solid-phase binding assay and mass spectrometry for screening of α4β7 integrin antagonists. Bioorganic & Medicinal Chemistry Letters. 11(23). 2997–3000. 3 indexed citations
20.
Yabe, Takeshi, et al.. (1992). The toxicology of nebracetam in rats. 44(4). 417–432.

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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