Mati Karelson
- Organic Chemistry top 0.2%
- Computational Theory and Mathematics top 0.05%
- Molecular Biology top 5%
- Spectroscopy top 0.2%
- Materials Chemistry top 2%
- Co-authors
- Alan R. KatritzkyVictor S. LobanovMichael C. ZernerDimitar A. DobchevUko MaranSulev SildDan C. FaraRuslan Petrukhin
- Topics
- Computational Drug Discovery Methods (84 papers)Free Radicals and Antioxidants (34 papers)Analytical Chemistry and Chromatography (32 papers)
- Partner nations
- EstoniaUnited StatesFinland
In The Last Decade
Mati Karelson
196 papers receiving 10.0k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Organic Chemistry 4.1k
- Computational Theory and Mathematics 3.9k
- Molecular Biology 2.2k
- Spectroscopy 2.0k
- Materials Chemistry 2.0k
Countries citing papers authored by Mati Karelson
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 60 | |
| 4 | 4 | |
| 5 | 11 | |
| 6 | Small Molecular Weight ARTN Mimetic for the Treatment of Neuropathic Pain | 2 |
| 7 | 15 | |
| 8 | 22 | |
| 9 | 12 | |
| 10 | 1 | |
| 11 | 19 | |
| 12 | GDNF receptors as a drug target for neural repair | 1 |
| 13 | 23 | |
| 14 | 25 | |
| 15 | OpenMolGRIND: Molecular Science and Engineering in a Grid Context. | 5 |
| 16 | 26 | |
| 17 | A QSPR Study of Sweetness Potency Using the CODESSA Program | 13 |
| 18 | 3 | |
| 19 | QSPR and QSAR Models Derived with CODESSA Multipurpose Statistical Analysis Software | 5 |
| 20 | 122 |
About Mati Karelson
Mati Karelson is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Physical and Theoretical Chemistry, having authored 196 papers that have together received 10.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (84 papers), Free Radicals and Antioxidants (34 papers) and Analytical Chemistry and Chromatography (32 papers). The work is most often cited by research in Computational Theory and Mathematics (3.9k citations), Physical and Theoretical Chemistry (1.3k citations) and Organic Chemistry (4.1k citations). Mati Karelson has collaborated with scholars based in Estonia, United States and Finland. Frequent 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. Their work appears in journals such as Chemical Reviews, Journal of the American Chemical Society and Chemical Society Reviews.
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.