Piotr Urbaszek

496 total citations
10 papers, 356 citations indexed

About

Piotr Urbaszek is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Environmental Chemistry. According to data from OpenAlex, Piotr Urbaszek has authored 10 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computational Theory and Mathematics, 5 papers in Materials Chemistry and 4 papers in Environmental Chemistry. Recurrent topics in Piotr Urbaszek's work include Nanoparticles: synthesis and applications (5 papers), Computational Drug Discovery Methods (5 papers) and Chemistry and Chemical Engineering (4 papers). Piotr Urbaszek is often cited by papers focused on Nanoparticles: synthesis and applications (5 papers), Computational Drug Discovery Methods (5 papers) and Chemistry and Chemical Engineering (4 papers). Piotr Urbaszek collaborates with scholars based in Poland, United Kingdom and United States. Piotr Urbaszek's co-authors include Tomasz Puzyn, Agnieszka Gajewicz, Jerzy Leszczyński, Danuta Leszczyńska, Bakhtiyor Rasulev, T. C. Dinadayalane, Piotr Stepnowski, Wojciech Mrozik, Christian Jungnickel and Judith C. Madden and has published in prestigious journals such as Advanced Drug Delivery Reviews, Toxicology Letters and Journal of Chemical Information and Modeling.

In The Last Decade

Piotr Urbaszek

10 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Piotr Urbaszek Poland 8 220 101 72 40 39 10 356
Natalia Abramenko Russia 8 194 0.9× 36 0.4× 94 1.3× 45 1.1× 23 0.6× 11 343
Anna Rybińska‐Fryca Poland 10 89 0.4× 95 0.9× 54 0.8× 169 4.2× 9 0.2× 15 325
Azar Mostoufi Iran 8 193 0.9× 15 0.1× 65 0.9× 11 0.3× 15 0.4× 22 530
Andrzej Mạkowski Poland 8 157 0.7× 9 0.1× 33 0.5× 30 0.8× 6 0.2× 40 479
Shixin Zhang China 12 167 0.8× 17 0.2× 89 1.2× 11 0.3× 24 0.6× 46 456
Lennart Larsson Sweden 12 96 0.4× 14 0.1× 46 0.6× 31 0.8× 9 0.2× 39 512
Babak Mokhtari Iran 13 116 0.5× 6 0.1× 104 1.4× 20 0.5× 61 1.6× 38 549
С. С. Самби India 8 48 0.2× 152 1.5× 29 0.4× 2 0.1× 16 0.4× 13 438
Gunjan Arora India 13 129 0.6× 7 0.1× 58 0.8× 42 1.1× 7 0.2× 20 469
Priyanka Singh India 10 107 0.5× 8 0.1× 53 0.7× 2 0.1× 26 0.7× 22 312

Countries citing papers authored by Piotr Urbaszek

Since Specialization
Citations

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

Fields of papers citing papers by Piotr Urbaszek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Piotr Urbaszek

This figure shows the co-authorship network connecting the top 25 collaborators of Piotr Urbaszek. A scholar is included among the top collaborators of Piotr Urbaszek 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 Piotr Urbaszek. Piotr Urbaszek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
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
2.
Urbaszek, Piotr, Agnieszka Gajewicz, Celina Sikorska, Maciej Harańczyk, & Tomasz Puzyn. (2017). Modeling adsorption of brominated, chlorinated and mixed bromo/chloro-dibenzo-p-dioxins on C60 fullerene using Nano-QSPR. Beilstein Journal of Nanotechnology. 8. 752–761. 5 indexed citations
3.
Sikorska, Celina, et al.. (2016). Efficient way of designing fullerene derivatives based on simplified DFT calculations and QSPR modeling. Chemometrics and Intelligent Laboratory Systems. 152. 125–133. 9 indexed citations
4.
Barycki, Maciej, et al.. (2016). ILPC: simple chemometric tool supporting the design of ionic liquids. Journal of Cheminformatics. 8(1). 40–40. 9 indexed citations
5.
Richarz, Andrea-Nicole, Judith C. Madden, Richard Marchese Robinson, et al.. (2014). Development of computational models for the prediction of the toxicity of nanomaterials. Perspectives in Science. 3(1-4). 27–29. 16 indexed citations
6.
Urbaszek, Piotr, Agnieszka Gajewicz, M Cronin, et al.. (2013). Evaluation criteria for the quality of published experimental data on nanomaterials and their usefulness for QSAR modelling. SAR and QSAR in environmental research. 24(12). 995–1008. 42 indexed citations
7.
Richarz, Andrea-Nicole, M Cronin, Judith C. Madden, et al.. (2013). Toxicity of nanomaterials: Availability and suitability of data for the development of in silico models. Toxicology Letters. 221. S246–S246. 2 indexed citations
8.
Harańczyk, Maciej, Piotr Urbaszek, Esmond Ng, & Tomasz Puzyn. (2012). Combinatorial × Computational × Cheminformatics (C3) Approach to Characterization of Congeneric Libraries of Organic Pollutants. Journal of Chemical Information and Modeling. 52(11). 2902–2909. 7 indexed citations
9.
Gajewicz, Agnieszka, Bakhtiyor Rasulev, T. C. Dinadayalane, et al.. (2012). Advancing risk assessment of engineered nanomaterials: Application of computational approaches. Advanced Drug Delivery Reviews. 64(15). 1663–1693. 156 indexed citations
10.

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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