Tom M. Nolte

992 total citations
32 papers, 768 citations indexed

About

Tom M. Nolte is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Materials Chemistry. According to data from OpenAlex, Tom M. Nolte has authored 32 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pollution, 7 papers in Health, Toxicology and Mutagenesis and 7 papers in Materials Chemistry. Recurrent topics in Tom M. Nolte's work include Pharmaceutical and Antibiotic Environmental Impacts (11 papers), Nanoparticles: synthesis and applications (7 papers) and Microplastics and Plastic Pollution (6 papers). Tom M. Nolte is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (11 papers), Nanoparticles: synthesis and applications (7 papers) and Microplastics and Plastic Pollution (6 papers). Tom M. Nolte collaborates with scholars based in Netherlands, Switzerland and Guinea-Bissau. Tom M. Nolte's co-authors include A. Jan Hendriks, Dik van de Meent, J. Mieke Kleijn, Nanna B. Hartmann, Anders Baun, Jørgen Garnæs, Ad M.J. Ragas, Willie J.G.M. Peijnenburg, Bingqing Lu and Jiaqi Wang and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Water Research.

In The Last Decade

Tom M. Nolte

31 papers receiving 762 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom M. Nolte Netherlands 16 494 184 180 146 128 32 768
Konrad J. Kulacki United States 8 403 0.8× 255 1.4× 125 0.7× 97 0.7× 125 1.0× 10 773
Siying He China 13 445 0.9× 249 1.4× 117 0.7× 155 1.1× 70 0.5× 33 802
Se Wang China 18 435 0.9× 129 0.7× 403 2.2× 69 0.5× 207 1.6× 56 1.0k
Vignesh Thiagarajan India 14 303 0.6× 72 0.4× 274 1.5× 88 0.6× 86 0.7× 17 591
Caroline Gauchotte‐Lindsay United Kingdom 12 580 1.2× 454 2.5× 62 0.3× 88 0.6× 148 1.2× 25 853
Lars Michael Skjolding Denmark 15 251 0.5× 77 0.4× 498 2.8× 37 0.3× 202 1.6× 41 821
Kamalodin Kor Iran 14 369 0.7× 304 1.7× 47 0.3× 95 0.7× 33 0.3× 24 753
Manuela Lechuga Spain 15 293 0.6× 70 0.4× 87 0.5× 41 0.3× 158 1.2× 29 767
V. Iswarya India 13 230 0.5× 42 0.2× 485 2.7× 57 0.4× 153 1.2× 19 663
Jorge Trilleras Colombia 18 378 0.8× 277 1.5× 49 0.3× 83 0.6× 30 0.2× 84 1.1k

Countries citing papers authored by Tom M. Nolte

Since Specialization
Citations

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

Fields of papers citing papers by Tom M. Nolte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom M. Nolte. 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 Tom M. Nolte. The network helps show where Tom M. Nolte may publish in the future.

Co-authorship network of co-authors of Tom M. Nolte

This figure shows the co-authorship network connecting the top 25 collaborators of Tom M. Nolte. A scholar is included among the top collaborators of Tom M. Nolte 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 Tom M. Nolte. Tom M. Nolte 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.
Nolte, Tom M. & Bingqing Lu. (2024). Size and dose of nanoparticles modulate between toxic and medicinal effect on kidney. OpenNano. 16. 100200–100200. 5 indexed citations
2.
Lu, Bingqing, Jiaqi Wang, A. Jan Hendriks, & Tom M. Nolte. (2023). Clearance of nanoparticles from blood: effects of hydrodynamic size and surface coatings. Environmental Science Nano. 11(1). 406–417. 19 indexed citations
3.
Nolte, Tom M.. (2023). Calculating Toxic Pressure for Mixtures of Endocrine Disrupting Chemicals Using the Golden Ratio. SSRN Electronic Journal. 1 indexed citations
4.
Nolte, Tom M.. (2023). 300-fold higher neuro- and immunotoxicity from low-redox transformation of carbamazepine. Toxicology Reports. 11. 319–329. 1 indexed citations
5.
Nolte, Tom M., et al.. (2022). Stoichiometric ratios for biotics and xenobiotics capture effective metabolic coupling to re(de)fine biodegradation. Water Research. 217. 118333–118333. 3 indexed citations
6.
Wang, Jiaqi, Mathijs G.D. Smit, Tom M. Nolte, et al.. (2022). Petroleum refinery effluent contribution to chemical mixture toxic pressure in the environment. Chemosphere. 311(Pt 2). 137127–137127. 5 indexed citations
7.
Wang, Jiaqi, Tom M. Nolte, Stewart F. Owen, et al.. (2022). A Generalized Physiologically Based Kinetic Model for Fish for Environmental Risk Assessment of Pharmaceuticals. Environmental Science & Technology. 56(10). 6500–6510. 27 indexed citations
8.
Lu, Bingqing, Jiaqi Wang, Paul T.J. Scheepers, A. Jan Hendriks, & Tom M. Nolte. (2022). Generic prediction of exocytosis rate constants by size-based surface energies of nanoparticles and cells. Scientific Reports. 12(1). 17813–17813. 5 indexed citations
9.
Németh, Tamás, et al.. (2021). Possible Repair Mechanism for Hydrocarbon-Based Ionomers Following Damage by Radical Attack. Journal of The Electrochemical Society. 168(5). 54514–54514. 13 indexed citations
10.
Liu, Haiyang, Xiuyi Hua, Yanan Zhang, et al.. (2021). Electrocatalytic inactivation of antibiotic resistant bacteria and control of antibiotic resistance dissemination risk. Environmental Pollution. 291. 118189–118189. 14 indexed citations
11.
Lu, Bingqing, A. Jan Hendriks, & Tom M. Nolte. (2021). A generic model based on the properties of nanoparticles and cells for predicting cellular uptake. Colloids and Surfaces B Biointerfaces. 209(Pt 1). 112155–112155. 14 indexed citations
12.
Nolte, Tom M., Ad M.J. Ragas, Rosalie van Zelm, et al.. (2021). Do initial concentration and activated sludge seasonality affect pharmaceutical biotransformation rate constants?. Applied Microbiology and Biotechnology. 105(16-17). 6515–6527. 16 indexed citations
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14.
Wang, Jiaqi, L.S. Lautz, Tom M. Nolte, et al.. (2020). Towards a systematic method for assessing the impact of chemical pollution on ecosystem services of water systems. Journal of Environmental Management. 281. 111873–111873. 24 indexed citations
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Nolte, Tom M., Willie J.G.M. Peijnenburg, A. Jan Hendriks, & Dik van de Meent. (2017). Quantitative structure-activity relationships for green algae growth inhibition by polymer particles. Chemosphere. 179. 49–56. 26 indexed citations
18.
Lautz, L.S., Jeroen N. Struijs, Tom M. Nolte, et al.. (2016). Evaluation of SimpleTreat 4.0: Simulations of pharmaceutical removal in wastewater treatment plant facilities. Chemosphere. 168. 870–876. 37 indexed citations
19.
Hartmann, Nanna B., Lars Michael Skjolding, Tom M. Nolte, & Anders Baun. (2015). Aquatic ecotoxicity testing of nanoplastics - lessons learned from nanoecotoxicology. 43–44. 18 indexed citations
20.
Nolte, Tom M., Katja Kettler, Johannes A.J. Meesters, A. Jan Hendriks, & Dik van de Meent. (2014). A semi-empirical model for transport of inorganic nanoparticles across a lipid bilayer: Implications for uptake by living cells. Environmental Toxicology and Chemistry. 34(3). 488–496. 16 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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