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 8
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- Chemical Thermodynamics and Molecular Structure 2
- Co-authors
- Mati Karelson (6 shared papers)Svetoslav Slavov (3 shared papers)Alan R. Katritzky (3 shared papers)Dimitar A. Dobchev (2 shared papers)Minati Kuanar (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)Future Generation Computer Systems (1 paper)Alternatives to Laboratory Animals (1 paper)Journal of Computational Chemistry (1 paper)Journal of Toxicology and Environmental Health (1 paper)
- Partner nations
- EstoniaUnited StatesNetherlands
In The Last Decade
Iiris Kahn
12 papers receiving 663 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Computational Theory and Mathematics 337
- Spectroscopy 110
- Organic Chemistry 172
- Health, Toxicology and Mutagenesis 74
- Environmental Chemistry 51
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 | 456 |
| 2 | 2018 | 61 | |
| 3 | 2004 | 38 | |
| 4 | 2009 | 37 | |
| 5 | 2007 | 28 | |
| 6 | 2007 | 28 | |
| 7 | 2006 | 10 | |
| 8 | 2007 | 6 | |
| 9 | 2014 | 4 | |
| 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, Health, Toxicology and Mutagenesis and Spectroscopy, having authored 12 papers that have together received 675 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Environmental Toxicology and Ecotoxicology (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Chemical Thermodynamics and Molecular Structure (2 papers), Analytical Chemistry and Chromatography (2 papers), Crystallography and molecular interactions (2 papers), Molecular spectroscopy and chirality (1 paper) and Advanced Chemical Physics Studies (1 paper). The work is most often cited by research in Computational Theory and Mathematics (337 citations), Spectroscopy (110 citations), Organic Chemistry (172 citations), Health, Toxicology and Mutagenesis (74 citations) and Environmental Chemistry (51 citations). Iiris Kahn has collaborated with scholars based in Estonia, United States and Netherlands. Frequent co-authors include Mati Karelson, Svetoslav Slavov, Alan R. Katritzky, Dimitar A. Dobchev, Minati Kuanar, C. Dennis Hall, Uko Maran, Sulev Sild, Alfonso T. García‐Sosa and Geven Piir. Their work appears in journals such as Journal of Chemical Information and Modeling, Future Generation Computer Systems, Alternatives to Laboratory Animals, Journal of Computational Chemistry and Journal of Toxicology and Environmental Health.
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.