Dubravko Jelić
- Pharmacology top 5%
- Molecular Biology
- Plant Science top 10%
- Organic Chemistry top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Roberto AntolovićZrinka KovarikGoran ŠinkoMaja KatalinićMaja ČalićGordana RusakSanja KoštrunBožica Radić
- Topics
- Computational Drug Discovery Methods (11 papers)Mycotoxins in Agriculture and Food (7 papers)Synthesis and biological activity (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Molecular SciencesJournal of Medicinal Chemistry
- Partner nations
- CroatiaUnited KingdomUnited States
In The Last Decade
Dubravko Jelić
43 papers receiving 981 citations
Peers
Comparison fields: 5 of 115
- Pharmacology 329
- Molecular Biology 316
- Plant Science 266
- Organic Chemistry 218
- Computational Theory and Mathematics 137
Countries citing papers authored by Dubravko Jelić
This map shows the geographic impact of Dubravko Jelić'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 Dubravko Jelić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dubravko Jelić more than expected).
Fields of papers citing papers by Dubravko Jelić
This network shows the impact of papers produced by Dubravko Jelić. 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 Dubravko Jelić. The network helps show where Dubravko Jelić may publish in the future.
Co-authorship network of co-authors of Dubravko Jelić
This figure shows the co-authorship network connecting the top 25 collaborators of Dubravko Jelić. A scholar is included among the top collaborators of Dubravko Jelić 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 Dubravko Jelić. Dubravko Jelić 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 | 1 | |
| 3 | 1 | |
| 4 | 20 | |
| 5 | 4 | |
| 6 | 13 | |
| 7 | 10 | |
| 8 | 72 | |
| 9 | 40 | |
| 10 | 15 | |
| 11 | 10 | |
| 12 | 28 | |
| 13 | 22 | |
| 14 | 172 | |
| 15 | Biomarkers for Drug Discovery: Important Aspects of in vitro Assay Design for HTS and HCS Bioassays | 2 |
| 16 | In vitro Evaluation of Aldoxime Interactions with Human Acetylcholinesterase | 35 |
| 17 | Combined in silico and in vitro approach to drug screening | 18 |
| 18 | Flavonoids as inhibitors of LCK and FYN kinases | 5 |
| 19 | 119 | |
| 20 | Macromolecular Databases – A Background of Bioinformatics | 3 |
About Dubravko Jelić
Dubravko Jelić is a scholar working on Toxicology, Computational Theory and Mathematics and Infectious Diseases, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Mycotoxins in Agriculture and Food (7 papers) and Synthesis and biological activity (6 papers). The work is most often cited by research in Pharmacology (329 citations), Biochemistry (63 citations) and Computational Theory and Mathematics (137 citations). Dubravko Jelić has collaborated with scholars based in Croatia, United Kingdom and United States. Frequent co-authors include Roberto Antolović, Zrinka Kovarik, Goran Šinko, Maja Katalinić, Maja Čalić, Gordana Rusak, Sanja Koštrun, Božica Radić, Kamil Kuča and Daniel Jun. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Journal of Medicinal Chemistry.
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.