Sulev Sild
Impact in
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- Computational Drug Discovery Methods
- Organic Chemistry top 5%
- Synthesis and Properties of Aromatic Compounds
- Free Radicals and Antioxidants
- Fullerene Chemistry and Applications
- Chemical Thermodynamics and Molecular Structure
Papers in
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- Computational Drug Discovery Methods 27
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- Metabolomics and Mass Spectrometry Studies 5
- Co-authors
- Mati Karelson (13 shared papers)Alan R. Katritzky (7 shared papers)Uko Maran (27 shared papers)Tadeusz M. Krygowski (1 shared paper)Karl Jug (1 shared paper)Geven Piir (9 shared papers)Alfonso T. García‐Sosa (5 shared papers)Yilin Wang (2 shared papers)
- Journals
- Journal of Chemical Information and Modeling (5 papers)SAR and QSAR in environmental research (3 papers)ALTEX (2 papers)Chemosphere (2 papers)Journal of Cheminformatics (2 papers)
- Partner nations
- EstoniaUnited StatesUnited Kingdom
In The Last Decade
Sulev Sild
40 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 118
- Computational Theory and Mathematics 551
- Organic Chemistry 469
- Filtration and Separation 33
- Spectroscopy 260
- Physical and Theoretical Chemistry 91
Countries citing papers authored by Sulev Sild
This map shows the geographic impact of Sulev Sild'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 Sulev Sild with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sulev Sild more than expected).
Fields of papers citing papers by Sulev Sild
This network shows the impact of papers produced by Sulev Sild. 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 Sulev Sild. The network helps show where Sulev Sild may publish in the future.
Co-authors
The 25 scholars most cited alongside Sulev Sild, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 210 | |
| 2 | 1998 | 129 | |
| 3 | 1998 | 115 | |
| 4 | 1998 | 110 | |
| 5 | 1999 | 70 | |
| 6 | 2015 | 64 | |
| 7 | 2018 | 62 | |
| 8 | 2008 | 43 | |
| 9 | 2002 | 40 | |
| 10 | 2008 | 38 | |
| 11 | 2014 | 38 | |
| 12 | 1998 | 36 | |
| 13 | 1999 | 32 | |
| 14 | 2007 | 28 | |
| 15 | 2011 | 27 | |
| 16 | 2006 | 27 | |
| 17 | 2007 | 26 | |
| 18 | 2020 | 26 | |
| 19 | 2000 | 25 | |
| 20 | 2010 | 22 |
About Sulev Sild
Sulev Sild is a scholar working on Computational Theory and Mathematics, Molecular Biology, Spectroscopy, Organic Chemistry and Computer Networks and Communications, having authored 41 papers that have together received 1.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (27 papers), Analytical Chemistry and Chromatography (9 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Free Radicals and Antioxidants (5 papers), Distributed and Parallel Computing Systems (4 papers), Spectroscopy and Chemometric Analyses (3 papers), Pesticide Residue Analysis and Safety (3 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Computational Theory and Mathematics (551 citations), Organic Chemistry (469 citations), Filtration and Separation (33 citations), Spectroscopy (260 citations) and Physical and Theoretical Chemistry (91 citations). Sulev Sild has collaborated with scholars based in Estonia, United States and United Kingdom. Frequent co-authors include Mati Karelson, Alan R. Katritzky, Uko Maran, Tadeusz M. Krygowski, Karl Jug, Geven Piir, Alfonso T. García‐Sosa, Yilin Wang, Tarmo Tamm and Victor S. Lobanov. Their work appears in journals such as Journal of Chemical Information and Modeling, SAR and QSAR in environmental research, ALTEX, Chemosphere and Journal of Cheminformatics.
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.