Mati Karelson

12.8k total citations · 3 hit papers
196 papers, 10.3k citations indexed

About

Mati Karelson is a scholar working on Organic Chemistry, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Mati Karelson has authored 196 papers receiving a total of 10.3k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Organic Chemistry, 84 papers in Computational Theory and Mathematics and 45 papers in Molecular Biology. Recurrent topics in Mati Karelson's work include Computational Drug Discovery Methods (84 papers), Free Radicals and Antioxidants (34 papers) and Analytical Chemistry and Chromatography (32 papers). Mati Karelson is often cited by papers focused on Computational Drug Discovery Methods (84 papers), Free Radicals and Antioxidants (34 papers) and Analytical Chemistry and Chromatography (32 papers). Mati Karelson collaborates with scholars based in Estonia, United States and Finland. Mati Karelson's co-authors include Alan R. Katritzky, Victor S. Lobanov, Michael C. Zerner, Dimitar A. Dobchev, Uko Maran, Sulev Sild, Dan C. Fara, Ruslan Petrukhin, Svetoslav Slavov and Andre Lomaka and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and Chemical Society Reviews.

In The Last Decade

Mati Karelson

196 papers receiving 10.0k citations

Hit Papers

Quantum-Chemical Descriptors in QSAR/QSPR Studies 1996 2026 2006 2016 1996 2000 2010 400 800 1.2k

Peers

Mati Karelson
Geoffrey Hutchison United States
Curt M. Breneman United States
Albert J. Leo United States
Noel M. O’Boyle United Kingdom
Gilles Klopman United States
Lemont B. Kier United States
Romain M. Wolf Switzerland
Geoffrey Hutchison United States
Mati Karelson
Citations per year, relative to Mati Karelson Mati Karelson (= 1×) peers Geoffrey Hutchison

Countries citing papers authored by Mati Karelson

Since Specialization
Citations

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

Fields of papers citing papers by Mati Karelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mati Karelson

This figure shows the co-authorship network connecting the top 25 collaborators of Mati Karelson. A scholar is included among the top collaborators of Mati Karelson 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 Mati Karelson. Mati Karelson 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.
Ivanova, Larisa, et al.. (2025). Dengue Virus Inhibitors as Potential Broad-Spectrum Flavivirus Inhibitors. Pharmaceuticals. 18(3). 283–283. 1 indexed citations
2.
Org, Tõnis, et al.. (2024). RNA m6A methyltransferase activator affects anxiety-related behaviours, monoamines and striatal gene expression in the rat. Acta Neuropsychiatrica. 37. e52–e52. 2 indexed citations
3.
Selberg, Simona, et al.. (2023). The structure and function of YTHDF epitranscriptomic m6A readers. Trends in Pharmacological Sciences. 44(6). 335–353. 60 indexed citations
4.
Kahn, Iiris, Andre Lomaka, & Mati Karelson. (2014). Topological Fingerprints as an Aid in Finding Structural Patterns for LRRK2 Inhibition. Molecular Informatics. 33(4). 269–275. 4 indexed citations
5.
Dobchev, Dimitar A., et al.. (2013). Subchronic Oral and Inhalation Toxicities: a Challenging Attempt for Modeling and Prediction. Molecular Informatics. 32(9-10). 793–801. 11 indexed citations
6.
Sidorova, Yulia, Maxim M. Bespalov, Mati Karelson, & Märt Saarma. (2012). Small Molecular Weight ARTN Mimetic for the Treatment of Neuropathic Pain. Cell Transplantation. 21(4). 792–792. 2 indexed citations
7.
Karelson, Mati & Dimitar A. Dobchev. (2011). Using artificial neural networks to predict cell-penetrating compounds. Expert Opinion on Drug Discovery. 6(8). 783–796. 15 indexed citations
8.
Karelson, Mati, Tarmo Tamm, Indrek Tulp, et al.. (2009). QSAR study of pharmacological permeabilities. ARKIVOC. 2009(2). 218–238. 22 indexed citations
9.
Karelson, Mati, Dimitar A. Dobchev, Tarmo Tamm, et al.. (2008). Correlation of blood-brain penetration and human serum albumin binding with theoretical descriptors. ARKIVOC. 2008(16). 38–60. 12 indexed citations
10.
Katritzky, Alan R., Dimitar A. Dobchev, Minati Kuanar, et al.. (2008). Novel computational models for predicting dopamine interactions. Experimental Neurology. 211(1). 150–171. 1 indexed citations
11.
Katritzky, Alan R., Svetoslav Slavov, Dimitar A. Dobchev, & Mati Karelson. (2008). QSAR modeling of the antifungal activity against Candida albicans for a diverse set of organic compounds. Bioorganic & Medicinal Chemistry. 16(14). 7055–7069. 19 indexed citations
12.
Bespalov, Maxim M., Csaba Hetényi, Anni Hienola, et al.. (2007). GDNF receptors as a drug target for neural repair. Cell Transplantation. 16(3). 314–314. 1 indexed citations
13.
Katritzky, Alan R., Liliana Păcureanu, Dimitar A. Dobchev, et al.. (2006). QSAR modeling of the inhibition of Glycogen Synthase Kinase-3. Bioorganic & Medicinal Chemistry. 14(14). 4987–5002. 23 indexed citations
14.
Katritzky, Alan R., Dimitar A. Dobchev, Dan C. Fara, & Mati Karelson. (2005). QSAR studies on 1-phenylbenzimidazoles as inhibitors of the platelet-derived growth factor. Bioorganic & Medicinal Chemistry. 13(24). 6598–6608. 25 indexed citations
15.
Mazzatorta, Paolo, Emilio Benfenati, Bernd Schuller, et al.. (2004). OpenMolGRIND: Molecular Science and Engineering in a Grid Context.. Parallel and Distributed Processing Techniques and Applications. 775–779. 5 indexed citations
16.
Katritzky, Alan R., Minati Kuanar, Dan C. Fara, Mati Karelson, & William E. Acree. (2004). QSPR treatment of rat blood:air, saline:air and olive oil:air partition coefficients using theoretical molecular descriptors. Bioorganic & Medicinal Chemistry. 12(17). 4735–4748. 26 indexed citations
17.
Katritzky, Alan R., et al.. (2002). A QSPR Study of Sweetness Potency Using the CODESSA Program. Croatica Chemica Acta. 75(2). 475–502. 13 indexed citations
18.
Leis, Jaan & Mati Karelson. (2001). A QSPR model for the prediction of the gas-phase free energies of activation of rotation around the NC(O) bond. Computers & Chemistry. 25(2). 171–176. 3 indexed citations
19.
Karelson, Mati, Uko Maran, Yilin Wang, & Alan R. Katritzky. (1999). QSPR and QSAR Models Derived with CODESSA Multipurpose Statistical Analysis Software. 20(4 Suppl). 1–19. 5 indexed citations
20.
Huibers, Paul D. T., Victor S. Lobanov, Alan R. Katritzky, D. O. Shah, & Mati Karelson. (1997). Prediction of Critical Micelle Concentration Using a Quantitative Structure–Property Relationship Approach. Journal of Colloid and Interface Science. 187(1). 113–120. 122 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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