Maciej Noga

677 total citations · 2 hit papers
26 papers, 428 citations indexed

About

Maciej Noga is a scholar working on Plant Science, Health, Toxicology and Mutagenesis and Computational Theory and Mathematics. According to data from OpenAlex, Maciej Noga has authored 26 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 8 papers in Health, Toxicology and Mutagenesis and 6 papers in Computational Theory and Mathematics. Recurrent topics in Maciej Noga's work include Pesticide Exposure and Toxicity (10 papers), Computational Drug Discovery Methods (6 papers) and Environmental Toxicology and Ecotoxicology (5 papers). Maciej Noga is often cited by papers focused on Pesticide Exposure and Toxicity (10 papers), Computational Drug Discovery Methods (6 papers) and Environmental Toxicology and Ecotoxicology (5 papers). Maciej Noga collaborates with scholars based in Poland, Czechia and United States. Maciej Noga's co-authors include Kamil Jurowski, Adrian Frydrych, Justyna Milan, Lucyna Kapka‐Skrzypczak, Mirosław Krośniak, Per-Eric Lund, Bruno O. Villoutreix, Erik Renström, Ben C. King and Katarzyna Woźniak and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Science of The Total Environment and The Journal of Physical Chemistry B.

In The Last Decade

Maciej Noga

21 papers receiving 421 citations

Hit Papers

align trajectories

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.

Toxicological Aspects, Safety Assessment, and Green Toxicology of Silver Nanoparticles (AgNPs)—Critical Review: State of the Art

2023 148 citations Maciej Noga, Justyna Milan et al. International Journal of Molecular Sciences profile →
Gold Nanoparticles (AuNPs)—Toxicity, Safety and Green Synthesis: A Critical Review

2024 98 citations Maciej Noga, Adrian Frydrych et al. International Journal of Molecular Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maciej Noga Poland	10	152	105	75	60	59	26	428
Maha A. Alshiekheid Saudi Arabia	13	135 0.9×	63 0.6×	71 0.9×	75 1.3×	24 0.4×	36	402
Murugesh Easwaran India	13	118 0.8×	87 0.8×	159 2.1×	148 2.5×	71 1.2×	28	587
Heba K. Abdelhakim Egypt	14	285 1.9×	147 1.4×	103 1.4×	104 1.7×	80 1.4×	34	700
Abu Baker India	13	105 0.7×	80 0.8×	47 0.6×	92 1.5×	66 1.1×	28	342
AW Hayes United States	7	130 0.9×	93 0.9×	62 0.8×	93 1.6×	41 0.7×	7	429
Gity Behbudi Iran	9	91 0.6×	118 1.1×	47 0.6×	65 1.1×	55 0.9×	15	370
Vijay R. Chidrawar India	15	173 1.1×	128 1.2×	81 1.1×	85 1.4×	108 1.8×	61	613
Sadaf Mushtaq Pakistan	10	212 1.4×	129 1.2×	67 0.9×	123 2.0×	75 1.3×	22	558
Tahir ul Gani Mir India	14	183 1.2×	84 0.8×	54 0.7×	174 2.9×	29 0.5×	28	541
Adrian Frydrych Poland	7	143 0.9×	95 0.9×	26 0.3×	42 0.7×	53 0.9×	15	342

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

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20 of 20 papers shown

Jurowski, Kamil, et al.. (2025). ADME profile of BZP (benzylpiperazine) - first application of multi-in silico approach methodology for comprehensive prediction of ADME profile (absorption, distribution, metabolism and excretion) important for clinical toxicology and forensic purposes. Chemico-Biological Interactions. 421. 111775–111775.

Noga, Maciej & Kamil Jurowski. (2025). Reexamining the acute toxicity of chloropicrin: Comprehensive estimation using in silico methods. Toxicology in Vitro. 105. 106033–106033. 1 indexed citations

Noga, Maciej & Kamil Jurowski. (2025). Application of in silico methods to predict the acute toxicity of bicyclic organophosphorus compounds as potential chemical weapon. Archives of Toxicology. 99(6). 2507–2528. 1 indexed citations

Jurowski, Kamil, et al.. (2025). Toxicological profile of Acovenoside A as an active pharmaceutical ingredient – prediction of missing key toxicological endpoints using in silico toxicology methodology. Chemico-Biological Interactions. 408. 111404–111404. 4 indexed citations

Noga, Maciej & Kamil Jurowski. (2025). Comprehensive reexamination of the acute toxicity of nitrogen mustards: HN-1, HN-2 and HN-3 as blister agents: application of multi in silico approach. Archives of Toxicology. 99(10). 4159–4180.

Noga, Maciej & Kamil Jurowski. (2025). ADME of Bromo-DragonFLY as an example of a new psychoactive substance (NPS) – application of in Silico methods for prediction: absorption, distribution, metabolism and excretion. Scientific Reports. 15(1). 22949–22949.

Noga, Maciej, Kamil Jurowski, Kamil Kuča, & Eugenie Nepovimová. (2025). The environmental fate of Novichok degradation products: application of in silico methods for the prediction of hydrolysis and biodegradation. Environment International. 205. 109873–109873.

Jurowski, Kamil, et al.. (2024). Multimodal Imaging Using Raman Spectroscopy and FTIR in a Single Analytical Instrument with a Microscope (Infrared Raman Microscopy AIRsight, Shimadzu): Opportunities and Applications. International Journal of Molecular Sciences. 25(13). 6884–6884. 3 indexed citations

Jurowski, Kamil, et al.. (2024). Recommendations, trends and analytical strategies applied for biological samples collection (sampling) and storage in forensic toxicology of volatile poisons (inorganic and organic). TrAC Trends in Analytical Chemistry. 181. 118033–118033.

10.

Noga, Maciej, et al.. (2024). The acute toxicity of Novichok's degradation products using quantitative and qualitative toxicology in silico methods. Archives of Toxicology. 98(5). 1469–1483. 7 indexed citations

11.

Noga, Maciej, et al.. (2024). Gold Nanoparticles (AuNPs)—Toxicity, Safety and Green Synthesis: A Critical Review. International Journal of Molecular Sciences. 25(7). 4057–4057. 98 indexed citations breakdown →

12.

Noga, Maciej, et al.. (2024). The estimation of acute oral toxicity (LD50) of G-series organophosphorus-based chemical warfare agents using quantitative and qualitative toxicology in silico methods. Archives of Toxicology. 98(6). 1809–1825. 9 indexed citations

13.

Francik, Renata, et al.. (2023). The Critical Assessment of Oxidative Stress Parameters as Potential Biomarkers of Carbon Monoxide Poisoning. International Journal of Molecular Sciences. 24(13). 10784–10784. 6 indexed citations

14.

Frydrych, Adrian, et al.. (2023). The Toxicological Analysis and Toxicological Risk Assessment of Chosen Elemental Impurities (Ag, Au, Co, Cr, Cs, Li, Mo, Se, and Sr) in Green Tea (Camellia sinensis (L.)) Infusions. Nutrients. 15(6). 1460–1460. 10 indexed citations

15.

Noga, Maciej, Justyna Milan, Adrian Frydrych, & Kamil Jurowski. (2023). Toxicological Aspects, Safety Assessment, and Green Toxicology of Silver Nanoparticles (AgNPs)—Critical Review: State of the Art. International Journal of Molecular Sciences. 24(6). 5133–5133. 148 indexed citations breakdown →

16.

Noga, Maciej, et al.. (2023). The prediction of hydrolysis and biodegradation of Novichoks using in silico toxicology methods. The Science of The Total Environment. 890. 164241–164241. 15 indexed citations

17.

Noga, Maciej, et al.. (2023). The prediction of acute toxicity (LD50) for organophosphorus-based chemical warfare agents (V-series) using toxicology in silico methods. Archives of Toxicology. 98(1). 267–275. 17 indexed citations

18.

Noga, Maciej & Kamil Jurowski. (2022). What do we currently know about Novichoks? The state of the art. Archives of Toxicology. 97(3). 651–661. 19 indexed citations

19.

Milan, Justyna, et al.. (2022). The Control of Novel and Traditional Elemental Impurities: Ag, Au, Co, Cs, Li, Mo, Se, Sr, and V in Mint Tea Infusions (Peppermint, Mentha piperita L.) Available in Poland: A Health Risk Assessment. International Journal of Environmental Research and Public Health. 19(24). 16564–16564. 7 indexed citations

20.

Pązik, Robert, Anna Lewińska, Jagoda Adamczyk‐Grochala, et al.. (2020). Energy Conversion and Biocompatibility of Surface Functionalized Magnetite Nanoparticles with Phosphonic Moieties. The Journal of Physical Chemistry B. 124(24). 4931–4948. 13 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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