Peter Laux

97 papers receiving 3.8k citations

Peter Laux's Hit Papers

Artificial intelligence and machine learning disciplines with the potential to improve the nanotoxicology and nanomedicine fields: a comprehensive review 2023 · 112 citations
1120+1+2Years since publication255075100

Peers

Peter Laux
Comparison fields: 5 of 184
  • Biomaterials 376
  • Pollution 289
  • Biomedical Engineering 1.1k
  • Materials Chemistry 1.1k
  • Health, Toxicology and Mutagenesis 300
Replace Ajay Vikram Singh with:
Ajay Vikram Singh Germany
Nakissa Sadrieh United States
Andrea Haase Germany
Qin Chen China
Juergen Lademann Germany
Robert D. Arnold United States
Mi‐Hyun Kim South Korea
Simona Cavalu Romania
Masanori Horie Japan
Yuwei Wang China
Peter Laux relative to Ajay Vikram Singh Germany Ajay Vikram Singh's profile →
Citations per field
00.5×1.5×2.0×
Ajay Vikram Singh · 1×
Citations per year

Countries citing papers authored by Peter Laux

Since Specialization
Citations

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

Fields of papers citing papers by Peter Laux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter Laux, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter Laux Line = papers co-authored together Peter Laux links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020248
2 2019163
3 2020132
4 2017131
5 2020116
6 2021116
7
Artificial intelligence and machine learning disciplines with the potential to improve the nanotoxicology and nanomedicine fields: a comprehensive review
Hit paper breakdown →
2023112
8
Integrative toxicogenomics: Advancing precision medicine and toxicology through artificial intelligence and OMICs technology
Hit paper breakdown →
2023106
9 202196
10 201790
11 201990
12 201989
13 202271
14 201668
15 202264
16 201664
17 202160
18 201959
19 201459
20 201758

About Peter Laux

Peter Laux is a scholar working on Materials Chemistry, Biomedical Engineering, Health, Toxicology and Mutagenesis, Pollution and Physiology, having authored 99 papers that have together received 3.9k indexed citations. Recurring topics across this work include Nanoparticles: synthesis and applications (28 papers), Microplastics and Plastic Pollution (9 papers), Tattoo and Body Piercing Complications (9 papers), 3D Printing in Biomedical Research (9 papers), Smoking Behavior and Cessation (8 papers), Body Image and Dysmorphia Studies (8 papers), Heavy Metal Exposure and Toxicity (8 papers) and Computational Drug Discovery Methods (7 papers). The work is most often cited by research in Biomaterials (376 citations), Pollution (289 citations), Biomedical Engineering (1.1k citations), Materials Chemistry (1.1k citations) and Health, Toxicology and Mutagenesis (300 citations). Peter Laux has collaborated with scholars based in Germany, India and United States. Frequent co-authors include Andreas Luch, Ajay Vikram Singh, Mohammad Hasan Dad Ansari, Harald Jungnickel, Daniel Rosenkranz, Jutta Tentschert, Romi Singh Maharjan, Rishabh Singh, Anurag Kanase and Sarada Prasad Dakua. Their work appears in journals such as Scientific Reports, Archives of Toxicology, Advanced Healthcare Materials, The Science of The Total Environment and Toxics.

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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