Ivan Vučković

2.6k citations
77 papers · 2.2k · h-index 23

Impact in

  • Immunology top 5%
    • Immune cells in cancer
    • Essential Oils and Antimicrobial Activity
    • Fermentation and Sensory Analysis

Papers in

Ivan Vučković

75 papers receiving 2.2k citations

Peers

Ivan Vučković
Comparison fields: 5 of 111
  • Immunology 330
  • Food Science 246
  • Cancer Research 169
  • Physiology 283
  • Insect Science 86
Replace Armando Ialenti with:
Armando Ialenti Italy
Wei Wei China
Jianhua Zhu China
Betty Schwartz Israel
Shimpei Ushio Japan
Jian Ji China
Andrea I. Doseff United States
Soon‐Cheol Ahn South Korea
Xiao Qin Wang China
Keiko Kataoka Japan
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Citations per field
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Citations per year

Countries citing papers authored by Ivan Vučković

Since Specialization
Citations

This map shows the geographic impact of Ivan Vučković'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 Vučković with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Vučković more than expected).

Fields of papers citing papers by Ivan Vučković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan Vučković. 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 Vučković. The network helps show where Ivan Vučković may publish in the future.

Co-authors

The 25 scholars most cited alongside Ivan Vučković, 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 Vučković Line = papers co-authored together Ivan Vučković links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018339
2 2018266
3 2017228
4 201283
5 201976
6 202364
7 201763
8 201453
9 200746
10 200946
11 201646
12 202241
13 201336
14 201134
15 201334
16 202033
17
Hlapljivi sastojci šljivovice
200531
18 200729
19 201229
20 201329

About Ivan Vučković

Ivan Vučković is a scholar working on Cancer Research, Food Science, Insect Science, Molecular Biology and Plant Science, having authored 77 papers that have together received 2.2k indexed citations. Recurring topics across this work include Sesquiterpenes and Asteraceae Studies (9 papers), Essential Oils and Antimicrobial Activity (8 papers), Metabolomics and Mass Spectrometry Studies (8 papers), Phytochemistry and Biological Activities (7 papers), Insect Pheromone Research and Control (6 papers), Bioactive natural compounds (6 papers), Plant chemical constituents analysis (5 papers) and Adipose Tissue and Metabolism (5 papers). The work is most often cited by research in Immunology (330 citations), Food Science (246 citations), Cancer Research (169 citations), Physiology (283 citations) and Insect Science (86 citations). Ivan Vučković has collaborated with scholars based in Serbia, United States and United Kingdom. Frequent co-authors include Vele Tešević, Feilong Wang, Clifford D.L. Folmes, Ryoung‐Hoon Jeon, Amir Lerman, Joerg Herrmann, Petras P. Dzeja, Slobodan Milosavljević, Vlatka E. Vajs and Song Zhang. Their work appears in journals such as Chemistry & Biodiversity, Cell Metabolism, Analytical Chemistry, Journal of Chemical Ecology and Flavour and Fragrance Journal.

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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