Ivan Čapo

940 citations
54 papers · 617 · h-index 16

Impact in

    • Fungal Biology and Applications
    • Drug-Induced Hepatotoxicity and Protection
    • Phytochemistry and Bioactivity Studies
  • 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

Ivan Čapo

52 papers receiving 605 citations

Peers

Ivan Čapo
Comparison fields: 5 of 111
  • Pharmacology 91
  • Biochemistry 49
  • Complementary and alternative medicine 57
  • Pharmacology 103
  • Insect Science 74
Replace Md. Mahbubur Rahman with:
Md. Mahbubur Rahman South Korea
Lihui Zhu China
Felix Kwame Amevor China
Xiaoyan Huang China
Ji‐Won Park South Korea
Alphonse Calenda France
A. K. Bhattacharya India
Yoko Oshima‐Franco Brazil
Vahid Nejati Iran
J.S. Tyagi India
Ivan Čapo relative to Md. Mahbubur Rahman South Korea Md. Mahbubur Rahman's profile →
Citations per field
00.5×1.7×
Md. Mahbubur Rahman · 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 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201353
2 201547
3 201742
4 201740
5 202136
6 202036
7 202227
8 201026
9 202022
10 201622
11 201820
12 202120
13 201519
14 201819
15 202318
16 201816
17 202314
18 201013
19 202213
20 201010

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 617 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 (91 citations), Biochemistry (49 citations), Complementary and alternative medicine (57 citations), Pharmacology (103 citations) and Insect Science (74 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, Verica Simin, Donato Traversa, Milica Paut Kusturica, Vesna Lalošević and Momir Mikov. Their work appears in journals such as Biomedicine & Pharmacotherapy, Pharmaceutics, Molecules, Phytotherapy Research and Pharmaceuticals.

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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