Uko Maran
Impact in
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
- Spectroscopy top 2%
- Analytical Chemistry and Chromatography
Papers in ⓘ
-
- Computational Drug Discovery Methods 57
- Co-authors
- Alan R. Katritzky (20 shared papers)Mati Karelson (26 shared papers)Sulev Sild (26 shared papers)Alfonso T. García‐Sosa (15 shared papers)Csaba Hetényi (9 shared papers)Victor S. Lobanov (2 shared papers)Ruslan Petrukhin (5 shared papers)Douglas B. Tatham (6 shared papers)
- Journals
- Journal of Chemical Information and Modeling (11 papers)SAR and QSAR in environmental research (8 papers)International Journal of Molecular Sciences (4 papers)Chemosphere (4 papers)Molecular Informatics (3 papers)
- Partner nations
- EstoniaUnited StatesItaly
In The Last Decade
Uko Maran
90 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 137
- Computational Theory and Mathematics 1.3k
- Spectroscopy 536
- Filtration and Separation 60
- Organic Chemistry 778
- Catalysis 141
Countries citing papers authored by Uko Maran
This map shows the geographic impact of Uko Maran'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 Uko Maran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uko Maran more than expected).
Fields of papers citing papers by Uko Maran
This network shows the impact of papers produced by Uko Maran. 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 Uko Maran. The network helps show where Uko Maran may publish in the future.
Co-authors
The 25 scholars most cited alongside Uko Maran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 222 | |
| 2 | 2001 | 188 | |
| 3 | 2008 | 184 | |
| 4 | 2001 | 99 | |
| 5 | 1999 | 91 | |
| 6 | 2008 | 89 | |
| 7 | 2003 | 88 | |
| 8 | 1997 | 68 | |
| 9 | 2001 | 63 | |
| 10 | 2015 | 62 | |
| 11 | 2018 | 61 | |
| 12 | 1999 | 60 | |
| 13 | 2013 | 58 | |
| 14 | 1999 | 57 | |
| 15 | 1991 | 55 | |
| 16 | 2002 | 54 | |
| 17 | 2009 | 49 | |
| 18 | 2004 | 41 | |
| 19 | 2003 | 38 | |
| 20 | 2014 | 38 |
About Uko Maran
Uko Maran is a scholar working on Computational Theory and Mathematics, Filtration and Separation, Spectroscopy, Health, Toxicology and Mutagenesis and Electrochemistry, having authored 91 papers that have together received 2.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (57 papers), Analytical Chemistry and Chromatography (17 papers), Free Radicals and Antioxidants (12 papers), Environmental Toxicology and Ecotoxicology (10 papers), Chemistry and Chemical Engineering (9 papers), Metabolomics and Mass Spectrometry Studies (8 papers), Crystallization and Solubility Studies (6 papers) and Electrochemical Analysis and Applications (6 papers). The work is most often cited by research in Computational Theory and Mathematics (1.3k citations), Spectroscopy (536 citations), Filtration and Separation (60 citations), Organic Chemistry (778 citations) and Catalysis (141 citations). Uko Maran has collaborated with scholars based in Estonia, United States and Italy. Frequent co-authors include Alan R. Katritzky, Mati Karelson, Sulev Sild, Alfonso T. García‐Sosa, Csaba Hetényi, Victor S. Lobanov, Ruslan Petrukhin, Douglas B. Tatham, Andre Lomaka and Geven Piir. Their work appears in journals such as Journal of Chemical Information and Modeling, SAR and QSAR in environmental research, International Journal of Molecular Sciences, Chemosphere and Molecular Informatics.
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.