Maciej Noga

21 papers receiving 421 citations

Hit Papers

Toxicological Aspects, Safety Assessment, and Green Toxic...2023202620242025202320244080120

Peers

Maciej Noga
Comparison fields: 5 of 108
  • Materials Chemistry 152
  • Biomedical Engineering 105
  • Plant Science 75
  • Molecular Biology 60
  • Biomaterials 59
Replace Murugesh Easwaran with:
Murugesh Easwaran India
Heba K. Abdelhakim Egypt
Tung X. Trinh South Korea
Sunday Makama Nigeria
Gity Behbudi Iran
George Andrei Drăghici Romania
Veluchamy Prabhawathi India
Adrian Frydrych Poland
Tahir ul Gani Mir India
AW Hayes United States
Maciej Noga relative to Murugesh Easwaran India Murugesh Easwaran's profile →
Citations per field
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Murugesh Easwaran · 1×
Citations per year

Countries citing papers authored by Maciej Noga

Since Specialization
Citations

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

Fields of papers citing papers by Maciej Noga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maciej Noga

This figure shows the co-authorship network connecting the top 25 collaborators of Maciej Noga. A scholar is included among the top collaborators of Maciej Noga 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 Maciej Noga. Maciej Noga 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
#WorkIndexed citations
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11
Gold Nanoparticles (AuNPs)—Toxicity, Safety and Green Synthesis: A Critical Reviewbreakdown →
98
12
Toxicological Aspects, Safety Assessment, and Green Toxicology of Silver Nanoparticles (AgNPs)—Critical Review: State of the Artbreakdown →
148
13 6
14 17
15 10
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17 27
18 5
19 3
20 19

About Maciej Noga

Maciej Noga is a scholar working on Analytical Chemistry, Toxicology and Health, Toxicology and Mutagenesis, having authored 26 papers that have together received 428 indexed citations. Recurring topics across this work include Pesticide Exposure and Toxicity (10 papers), Computational Drug Discovery Methods (6 papers) and Environmental Toxicology and Ecotoxicology (5 papers). The work is most often cited by research in Biomaterials (59 citations), Materials Chemistry (152 citations) and Health, Toxicology and Mutagenesis (38 citations). Maciej Noga has collaborated with scholars based in Poland, Czechia and United States. Frequent co-authors include Kamil Jurowski, Adrian Frydrych, Justyna Milan, Lucyna Kapka‐Skrzypczak, Mirosław Krośniak, Per-Eric Lund, Ulrika Krus, Katarzyna Woźniak, Anna M. Blom and Olle Korsgren. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Science of The Total Environment and The Journal of Physical Chemistry B.

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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