Marjan Vračko
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Chemical Health and Safety top 5%
Papers in
-
- Computational Drug Discovery Methods 34
-
- Machine Learning in Bioinformatics 9
- Fractal and DNA sequence analysis 8
- RNA and protein synthesis mechanisms 7
- Co-authors
- Milan Randić (13 shared papers)Dejan Plavšić (7 shared papers)Nella Lerš (2 shared papers)Marjana Novič (17 shared papers)Ashesh Nandy (3 shared papers)S. C. Basak (1 shared paper)Subhash C. Basak (10 shared papers)Emilio Benfenati (4 shared papers)
- Journals
- SAR and QSAR in environmental research (11 papers)Journal of Chemical Information and Modeling (3 papers)Chemosphere (3 papers)Chemometrics and Intelligent Laboratory Systems (3 papers)Chemical Physics Letters (3 papers)
- Partner nations
- SloveniaUnited StatesCroatia
In The Last Decade
Marjan Vračko
59 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 117
- Computational Theory and Mathematics 609
- Chemical Health and Safety 17
- Molecular Biology 1.0k
- Health, Toxicology and Mutagenesis 154
- Analytical Chemistry 103
Countries citing papers authored by Marjan Vračko
This map shows the geographic impact of Marjan Vračko'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 Marjan Vračko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marjan Vračko more than expected).
Fields of papers citing papers by Marjan Vračko
This network shows the impact of papers produced by Marjan Vračko. 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 Marjan Vračko. The network helps show where Marjan Vračko may publish in the future.
Co-authors
The 25 scholars most cited alongside Marjan Vračko, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 239 | |
| 2 | 2000 | 216 | |
| 3 | 2003 | 200 | |
| 4 | 2010 | 103 | |
| 5 | 2007 | 59 | |
| 6 | 2003 | 59 | |
| 7 | The Characterisation of (Quantitative) Structure-Activity Relationships: Preliminary Guidance | 2005 | 47 |
| 8 | 2009 | 42 | |
| 9 | 2004 | 41 | |
| 10 | 2003 | 39 | |
| 11 | 1997 | 38 | |
| 12 | 2006 | 37 | |
| 13 | 2010 | 35 | |
| 14 | 2005 | 34 | |
| 15 | 2016 | 33 | |
| 16 | 2008 | 32 | |
| 17 | 2012 | 29 | |
| 18 | 2017 | 28 | |
| 19 | 2004 | 28 | |
| 20 | 2008 | 26 |
About Marjan Vračko
Marjan Vračko is a scholar working on Computational Theory and Mathematics, Molecular Biology, Spectroscopy, Organic Chemistry and Health, Toxicology and Mutagenesis, having authored 60 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (34 papers), Analytical Chemistry and Chromatography (13 papers), Machine Learning in Bioinformatics (9 papers), Spectroscopy and Chemometric Analyses (8 papers), Fractal and DNA sequence analysis (8 papers), RNA and protein synthesis mechanisms (7 papers), Effects and risks of endocrine disrupting chemicals (7 papers) and Chemistry and Chemical Engineering (5 papers). The work is most often cited by research in Computational Theory and Mathematics (609 citations), Chemical Health and Safety (17 citations), Molecular Biology (1.0k citations), Health, Toxicology and Mutagenesis (154 citations) and Analytical Chemistry (103 citations). Marjan Vračko has collaborated with scholars based in Slovenia, United States and Croatia. Frequent co-authors include Milan Randić, Dejan Plavšić, Nella Lerš, Marjana Novič, Ashesh Nandy, S. C. Basak, Subhash C. Basak, Emilio Benfenati, Jure Zupan and Aneta Jezierska. Their work appears in journals such as SAR and QSAR in environmental research, Journal of Chemical Information and Modeling, Chemosphere, Chemometrics and Intelligent Laboratory Systems and Chemical Physics Letters.
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.