Iiris Kahn
Impact in
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- Computational Drug Discovery Methods
- Spectroscopy top 10%
- Analytical Chemistry and Chromatography
Papers in
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- Computational Drug Discovery Methods 7
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- Chemical Thermodynamics and Molecular Structure 2
- Supramolecular Chemistry and Complexes 1
- Co-authors
- Mati Karelson (6 shared papers)Alan R. Katritzky (3 shared papers)Svetoslav Slavov (3 shared papers)Minati Kuanar (2 shared papers)Dimitar A. Dobchev (2 shared papers)C. Dennis Hall (2 shared papers)Uko Maran (6 shared papers)Sulev Sild (3 shared papers)
- Journals
- Journal of Chemical Information and Modeling (2 papers)Journal of Computational Chemistry (1 paper)Chemical Reviews (1 paper)Alternatives to Laboratory Animals (1 paper)Future Generation Computer Systems (1 paper)
- Partner nations
- EstoniaUnited StatesNetherlands
In The Last Decade
Iiris Kahn
12 papers receiving 712 citations
Iiris Kahn's Hit Papers
Peers
Comparison fields: 5 of 106
- Computational Theory and Mathematics 357
- Spectroscopy 114
- Organic Chemistry 185
- Health, Toxicology and Mutagenesis 74
- Analytical Chemistry 53
Countries citing papers authored by Iiris Kahn
This map shows the geographic impact of Iiris Kahn'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 Iiris Kahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iiris Kahn more than expected).
Fields of papers citing papers by Iiris Kahn
This network shows the impact of papers produced by Iiris Kahn. 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 Iiris Kahn. The network helps show where Iiris Kahn may publish in the future.
Co-authors
The 22 scholars most cited alongside Iiris Kahn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Quantitative Correlation of Physical and Chemical Properties with Chemical Structure: Utility for Prediction Hit paper breakdown → | 2010 | 495 |
| 2 | 2018 | 66 | |
| 3 | 2004 | 40 | |
| 4 | 2009 | 39 | |
| 5 | 2007 | 30 | |
| 6 | 2007 | 29 | |
| 7 | 2006 | 13 | |
| 8 | 2014 | 6 | |
| 9 | 2007 | 6 | |
| 10 | 2018 | 4 | |
| 11 | 2011 | 2 | |
| 12 | 2005 | 1 |
About Iiris Kahn
Iiris Kahn is a scholar working on Computational Theory and Mathematics, Organic Chemistry, Molecular Biology, Spectroscopy and Health, Toxicology and Mutagenesis, having authored 12 papers that have together received 731 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Crystallography and molecular interactions (2 papers), Analytical Chemistry and Chromatography (2 papers), Environmental Toxicology and Ecotoxicology (2 papers), Chemical Thermodynamics and Molecular Structure (2 papers), Pesticide and Herbicide Environmental Studies (1 paper) and Supramolecular Chemistry and Complexes (1 paper). The work is most often cited by research in Computational Theory and Mathematics (357 citations), Spectroscopy (114 citations), Organic Chemistry (185 citations), Health, Toxicology and Mutagenesis (74 citations) and Analytical Chemistry (53 citations). Iiris Kahn has collaborated with scholars based in Estonia, United States and Netherlands. Frequent co-authors include Mati Karelson, Alan R. Katritzky, Svetoslav Slavov, Minati Kuanar, Dimitar A. Dobchev, C. Dennis Hall, Uko Maran, Sulev Sild, Geven Piir and Alfonso T. García‐Sosa. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Computational Chemistry, Chemical Reviews, Alternatives to Laboratory Animals and Future Generation Computer Systems.
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.