Ivan Čapo
Impact in
- Pharmacology top 5%
- Fungal Biology and Applications
- Drug-Induced Hepatotoxicity and Protection
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
Papers in
-
- Metabolism, Diabetes, and Cancer 6
-
- Fungal Biology and Applications 5
- Drug-Induced Hepatotoxicity and Protection 4
- Phytochemistry and Bioactivity Studies 2
- Co-authors
- Nebojša Stilinović (13 shared papers)Saša Vukmirović (7 shared papers)Aleksandar Rašković (6 shared papers)Dušan Lalošević (19 shared papers)Boris Milijašević (2 shared papers)Momir Mikov (3 shared papers)Verica Simin (3 shared papers)Vesna Lalošević (2 shared papers)
- Journals
- Biomedicine & Pharmacotherapy (4 papers)Pharmaceutics (2 papers)Phytotherapy Research (2 papers)Pharmaceuticals (2 papers)Molecules (2 papers)
- Partner nations
- SerbiaRussiaSwitzerland
In The Last Decade
Ivan Čapo
52 papers receiving 573 citations
Peers
Comparison fields: 5 of 110
- Pharmacology 82
- Biochemistry 47
- Complementary and alternative medicine 53
- Rehabilitation 36
- Insect Science 71
Countries citing papers authored by Ivan Čapo
This map shows the geographic impact of Ivan Čapo'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 Ivan Čapo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Čapo more than expected).
Fields of papers citing papers by Ivan Čapo
This network shows the impact of papers produced by Ivan Čapo. 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 Ivan Čapo. The network helps show where Ivan Čapo may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Čapo, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 50 | |
| 2 | 2015 | 45 | |
| 3 | 2017 | 40 | |
| 4 | 2021 | 36 | |
| 5 | 2017 | 35 | |
| 6 | 2020 | 29 | |
| 7 | 2022 | 27 | |
| 8 | 2010 | 23 | |
| 9 | 2018 | 20 | |
| 10 | 2018 | 19 | |
| 11 | 2016 | 19 | |
| 12 | 2021 | 19 | |
| 13 | 2023 | 18 | |
| 14 | 2015 | 18 | |
| 15 | 2020 | 17 | |
| 16 | 2018 | 16 | |
| 17 | 2023 | 14 | |
| 18 | 2010 | 13 | |
| 19 | 2022 | 13 | |
| 20 | 2010 | 10 |
About Ivan Čapo
Ivan Čapo is a scholar working on Molecular Biology, Pharmacology, Pharmacology, Rehabilitation and Physiology, having authored 54 papers that have together received 582 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (6 papers), Fungal Biology and Applications (5 papers), Wound Healing and Treatments (5 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), Bee Products Chemical Analysis (3 papers), Essential Oils and Antimicrobial Activity (3 papers), Phytochemistry and Bioactivity Studies (2 papers) and Neonatal and fetal brain pathology (2 papers). The work is most often cited by research in Pharmacology (82 citations), Biochemistry (47 citations), Complementary and alternative medicine (53 citations), Rehabilitation (36 citations) and Insect Science (71 citations). Ivan Čapo has collaborated with scholars based in Serbia, Russia and Switzerland. Frequent co-authors include Nebojša Stilinović, Saša Vukmirović, Aleksandar Rašković, Dušan Lalošević, Boris Milijašević, Momir Mikov, Verica Simin, Vesna Lalošević, Milica Paut Kusturica and Nebojša Pavlović. Their work appears in journals such as Biomedicine & Pharmacotherapy, Pharmaceutics, Phytotherapy Research, Pharmaceuticals and Molecules.
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.