Ivana Dakić

3.8k citations
24 papers · 3.1k indexed · 1 hit paper · h-index 14
Topics
Antimicrobial Resistance in Staphylococcus (13 papers)Bacterial biofilms and quorum sensing (10 papers)Bacterial Identification and Susceptibility Testing (7 papers)
Partner nations
SerbiaCzechiaPoland

In The Last Decade

Ivana Dakić

24 papers receiving 2.9k citations

Hit Papers

A modified microtiter-plate test for quantification of st...2000202620082017200050010001.5k2.0k

Peers

Ivana Dakić
Comparison fields: 5 of 126
  • Molecular Biology 1.4k
  • Infectious Diseases 671
  • Food Science 644
  • Materials Chemistry 368
  • Biomedical Engineering 360
Replace Milena Švabic-Vlahović with:
Milena Švabic-Vlahović Serbia
Veronika Holá Czechia
Filip Růžička Czechia
Slobodanka Djukić Serbia
Axel Hartke France
Jean-Christophe Giárd France
Ivana Ćirković Serbia
Branislava Savić Serbia
Srdjan Stepanović Serbia
Manuela Oliveira Portugal
Ivana Dakić relative to Milena Švabic-Vlahović Serbia Milena Švabic-Vlahović's profile →
Citations per field
00.5×3.7×
Milena Švabic-Vlahović · 1×
Citations per year

Countries citing papers authored by Ivana Dakić

Since Specialization
Citations

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

Fields of papers citing papers by Ivana Dakić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivana Dakić

This figure shows the co-authorship network connecting the top 25 collaborators of Ivana Dakić. A scholar is included among the top collaborators of Ivana Dakić 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 Ivana Dakić. Ivana Dakić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 9
2 339
3 9
4 2
5 4
6 23
7 8
8 3
9 3
10 11
11 21
12 27
13 56
14 61
15
Influence of the growth medium composition on biofilm formation by Staphylococcus sciuri
21
16 252
17 60
18 38
19 45
20
A modified microtiter-plate test for quantification of staphylococcal biofilm formationbreakdown →
2009

About Ivana Dakić

Ivana Dakić is a scholar working on Clinical Biochemistry, Infectious Diseases and Molecular Medicine, having authored 24 papers that have together received 3.1k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (13 papers), Bacterial biofilms and quorum sensing (10 papers) and Bacterial Identification and Susceptibility Testing (7 papers). The work is most often cited by research in Molecular Medicine (323 citations), Endocrinology (331 citations) and Microbiology (312 citations). Ivana Dakić has collaborated with scholars based in Serbia, Czechia and Poland. Frequent co-authors include Srdjan Stepanović, Milena Švabic-Vlahović, Dragana Vuković, Branislava Savić, Petr Ježek, Vladimir Trajković, Biljana Ristić, M. Milosavljević, Marina Milenković and Biljana M. Todorović Marković. Their work appears in journals such as PLoS ONE, Biomaterials and Journal of Clinical Microbiology.

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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