Ivan Čapo

907 citations
53 papers · 569 · h-index 16

Impact in

    • 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 6
    • Drug-Induced Hepatotoxicity and Protection 4

Ivan Čapo

50 papers receiving 558 citations

Peers

Ivan Čapo
Comparison fields: 5 of 111
  • Pharmacology 89
  • Biochemistry 48
  • Complementary and alternative medicine 56
  • Insect Science 73
  • Rehabilitation 38
Replace Lihui Zhu with:
Lihui Zhu China
Asmaa K. Al‐Mokaddem Egypt
Monica Colitti Italy
Antônio Carlos Romão Borges Brazil
Amanda Rabello Crisma Brazil
J.S. Tyagi India
Alphonse Calenda France
Xiaoyan Huang China
Yoko Oshima‐Franco Brazil
Hossein Kargar Jahromi Iran
Ivan Čapo relative to Lihui Zhu China Lihui Zhu's profile →
Citations per field
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Lihui Zhu · 1×
Citations per year

Countries citing papers authored by Ivan Čapo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ivan Čapo Line = papers co-authored together Ivan Čapo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201350
2 201545
3 201740
4 202136
5 201734
6 202028
7 202227
8 201024
9 201820
10 201619
11 201819
12 202317
13 202017
14 201517
15 202117
16 201815
17 202314
18 201013
19 202211
20 201010

About Ivan Čapo

Ivan Čapo is a scholar working on Molecular Biology, Pharmacology, Pharmacology, Insect Science and Plant Science, having authored 53 papers that have together received 569 indexed citations. Recurring topics across this work include Fungal Biology and Applications (6 papers), Metabolism, Diabetes, and Cancer (6 papers), Wound Healing and Treatments (5 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), Essential Oils and Antimicrobial Activity (3 papers), Bee Products Chemical Analysis (3 papers), Natural Antidiabetic Agents Studies (2 papers) and Neonatal and fetal brain pathology (2 papers). The work is most often cited by research in Pharmacology (89 citations), Biochemistry (48 citations), Complementary and alternative medicine (56 citations), Insect Science (73 citations) and Rehabilitation (38 citations). Ivan Čapo has collaborated with scholars based in Serbia, Russia and Croatia. Frequent co-authors include Nebojša Stilinović, Saša Vukmirović, Aleksandar Rašković, Dušan Lalošević, Boris Milijašević, Milica Paut Kusturica, Momir Mikov, Verica Simin, Vesna Lalošević and Donato Traversa. Their work appears in journals such as Biomedicine & Pharmacotherapy, Phytotherapy Research, Molecules, Pharmaceuticals and Pharmaceutics.

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.

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