Rudolf Kiralj
- Computational Theory and Mathematics top 2%
- Organic Chemistry top 10%
- Molecular Biology
- Spectroscopy top 10%
- Analytical Chemistry top 5%
- Co-authors
- Márcia M. C. FerreiraBiserka Kojić‐ProdićZvjezdana CimermanMladen ŽinićNives GalićJosé Cirı́aco PinheiroYuji TakahataVolker Magnus
- Topics
- Computational Drug Discovery Methods (15 papers)Crystallography and molecular interactions (5 papers)Antibiotics Pharmacokinetics and Efficacy (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of The Electrochemical SocietyThe Journal of Physical Chemistry A
In The Last Decade
Rudolf Kiralj
39 papers receiving 737 citations
Peers
Comparison fields: 5 of 110
- Computational Theory and Mathematics 329
- Organic Chemistry 246
- Molecular Biology 177
- Spectroscopy 140
- Analytical Chemistry 85
Countries citing papers authored by Rudolf Kiralj
This map shows the geographic impact of Rudolf Kiralj'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 Rudolf Kiralj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rudolf Kiralj more than expected).
Fields of papers citing papers by Rudolf Kiralj
This network shows the impact of papers produced by Rudolf Kiralj. 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 Rudolf Kiralj. The network helps show where Rudolf Kiralj may publish in the future.
Co-authorship network of co-authors of Rudolf Kiralj
This figure shows the co-authorship network connecting the top 25 collaborators of Rudolf Kiralj. A scholar is included among the top collaborators of Rudolf Kiralj based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rudolf Kiralj. Rudolf Kiralj is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 42 | |
| 4 | 300 | |
| 5 | A Priori Descriptors in QSAR: a Case of Gram-Negative Bacterial Multidrug Resistance to ß-Lactams | 3 |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 24 | |
| 10 | Chemometric and Molecular Modeling Study of 1H-Indole-3-acetic Acid Derivatives with Auxin Activity* | 3 |
| 11 | 27 | |
| 12 | 10 | |
| 13 | 0 | |
| 14 | 22 | |
| 15 | 9 | |
| 16 | 2 | |
| 17 | Synthesis of Cyclo-bis-intercaland Receptor Molecules with Phenanthridinium Units | 7 |
| 18 | 2 | |
| 19 | 7 | |
| 20 | 16 |
About Rudolf Kiralj
Rudolf Kiralj is a scholar working on Computational Theory and Mathematics, Physical and Theoretical Chemistry and Toxicology, having authored 41 papers that have together received 762 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Crystallography and molecular interactions (5 papers) and Antibiotics Pharmacokinetics and Efficacy (4 papers). The work is most often cited by research in Computational Theory and Mathematics (329 citations), Analytical Chemistry (85 citations) and Organic Chemistry (246 citations). Rudolf Kiralj has collaborated with scholars based in Brazil, Croatia and Italy. Frequent co-authors include Márcia M. C. Ferreira, Biserka Kojić‐Prodić, Zvjezdana Cimerman, Mladen Žinić, Nives Galić, José Cirı́aco Pinheiro, Yuji Takahata, Volker Magnus, Branka Salopek‐Sondi and Sulejman Alihodžić. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of The Electrochemical Society and The Journal of Physical Chemistry A.
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.