Tomasz Puzyn

8.6k total citations
175 papers, 5.5k citations indexed

About

Tomasz Puzyn is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Tomasz Puzyn has authored 175 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Materials Chemistry, 61 papers in Computational Theory and Mathematics and 34 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Tomasz Puzyn's work include Computational Drug Discovery Methods (61 papers), Nanoparticles: synthesis and applications (43 papers) and Toxic Organic Pollutants Impact (29 papers). Tomasz Puzyn is often cited by papers focused on Computational Drug Discovery Methods (61 papers), Nanoparticles: synthesis and applications (43 papers) and Toxic Organic Pollutants Impact (29 papers). Tomasz Puzyn collaborates with scholars based in Poland, United States and United Kingdom. Tomasz Puzyn's co-authors include Jerzy Leszczyński, Agnieszka Gajewicz, Aleksandra Mostrąg, Jerzy Falandysz, Danuta Leszczyńska, Bakhtiyor Rasulev, Alicja Mikołajczyk, Anita Sosnowska, Maciej Harańczyk and M Cronin and has published in prestigious journals such as Environmental Science & Technology, ACS Nano and Nature Nanotechnology.

In The Last Decade

Tomasz Puzyn

165 papers receiving 5.4k citations

Peers

Tomasz Puzyn
Supratik Kar United States
Danuta Leszczyńska United States
Bakhtiyor Rasulev United States
Xuehua Li China
James F. Rathman United States
Ester Papa Italy
Agnieszka Gajewicz Poland
Saikh Mohammad Wabaidur Saudi Arabia
Xiaoman Jiang China
Zunyao Wang China
Supratik Kar United States
Tomasz Puzyn
Citations per year, relative to Tomasz Puzyn Tomasz Puzyn (= 1×) peers Supratik Kar

Countries citing papers authored by Tomasz Puzyn

Since Specialization
Citations

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

Fields of papers citing papers by Tomasz Puzyn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomasz Puzyn

This figure shows the co-authorship network connecting the top 25 collaborators of Tomasz Puzyn. A scholar is included among the top collaborators of Tomasz Puzyn 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 Tomasz Puzyn. Tomasz Puzyn 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.
Jagiełło, Karolina, Alicja Mikołajczyk, Pernille Høgh Danielsen, et al.. (2025). The role of machine learning in predicting titanium dioxide nanoparticles induced pulmonary pathology using transcriptomic biomarkers. Journal of Hazardous Materials. 493. 138240–138240. 2 indexed citations
2.
Jagiełło, Karolina, et al.. (2025). TRIumph in nanotoxicology: simplifying transcriptomics into a single predictive variable. Nanoscale Horizons. 10(11). 3116–3126.
3.
Jagiełło, Karolina, et al.. (2025). The Impact of Carbon Nanotube Properties on Lung Pathologies and Atherosclerosis Through Acute Inflammation: a New AOP‐Anchored in Silico NAM. Small. 21(14). e2501185–e2501185. 5 indexed citations
4.
Mikołajczyk, Alicja, Paweł Mazierski, Tomasz Grzyb, et al.. (2024). Visible-light photocatalytic activity of rare-earth-metal-doped TiO2: Experimental analysis and machine learning for virtual design. Applied Catalysis B: Environmental. 346. 123744–123744. 34 indexed citations
5.
Gajewicz, Agnieszka, et al.. (2024). Predicting zeta potential of liposomes from their structure: A nano-QSPR model for DOPE, DC-Chol, DOTAP, and EPC formulations. Computational and Structural Biotechnology Journal. 25. 3–8. 9 indexed citations
6.
7.
Kathiravan, Arunkumar, et al.. (2022). Integrated Approach to Interaction Studies of Pyrene Derivatives with Bovine Serum Albumin: Insights from Theory and Experiment. The Journal of Physical Chemistry B. 126(21). 3831–3843. 4 indexed citations
8.
Kathiravan, Arunkumar, et al.. (2022). Rapid colorimetric discrimination of cyanide ions – mechanistic insights and applications. Analytical Methods. 14(5). 518–525. 6 indexed citations
9.
10.
Acharya, Kishor, David Werner, Jan Dolfing, et al.. (2019). A quantitative structure-biodegradation relationship (QSBR) approach to predict biodegradation rates of aromatic chemicals. Water Research. 157. 181–190. 45 indexed citations
11.
Mazierski, Paweł, Tomasz Grzyb, Alicja Mikołajczyk, et al.. (2019). Experimental and computational study of Tm-doped TiO2: The effect of Li+ on Vis-response photocatalysis and luminescence. Applied Catalysis B: Environmental. 252. 138–151. 34 indexed citations
12.
Chlanda, Adrian, et al.. (2018). Characterization and influence of hydroxyapatite nanopowders on living cells. Beilstein Journal of Nanotechnology. 9. 3079–3094. 51 indexed citations
13.
Mikołajczyk, Alicja, Agnieszka Gajewicz, Ewa Mulkiewicz, et al.. (2018). Nano-QSAR modeling for ecosafe design of heterogeneous TiO2-based nano-photocatalysts. Environmental Science Nano. 5(5). 1150–1160. 51 indexed citations
14.
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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
16.
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
17.
Gajewicz, Agnieszka, Karolina Jagiełło, M Cronin, Jerzy Leszczyński, & Tomasz Puzyn. (2016). Addressing a bottle neck for regulation of nanomaterials: quantitative read-across (Nano-QRA) algorithm for cases when only limited data is available. Environmental Science Nano. 4(2). 346–358. 36 indexed citations
18.
Mikołajczyk, Alicja, Anna Malankowska, Grzegorz Nowaczyk, et al.. (2016). Combined experimental and computational approach to developing efficient photocatalysts based on Au/Pd–TiO2nanoparticles. Environmental Science Nano. 3(6). 1425–1435. 23 indexed citations
19.
Hanari, Nobuyasu, Sachi Taniyasu, Tomasz Puzyn, et al.. (2004). Isomer specific analysis of polychlorinated naphthalenes in pine trees [Pinus thunbergi Parl.] and [Pinus densiflora Sieb. et Zucc] needles around Tokyo Bay, Japan. Polish Journal of Environmental Studies. 13(2). 15 indexed citations
20.
Falandysz, Jerzy, Tomasz Puzyn, Masahide Kawano, et al.. (2001). Thermodynamic and physico-chemical descriptors of chloronaphthalenes: an attempt to select features explaining environmental behaviour and specific toxic effects of these compounds. Polish Journal of Environmental Studies. 10(4). 25 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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