Aleksandra Dakic

2.1k citations
17 papers · 1.1k indexed · 1 hit paper · h-index 10
Topics
Telomeres, Telomerase, and Senescence (9 papers)Cervical Cancer and HPV Research (5 papers)Molecular Biology Techniques and Applications (4 papers)

In The Last Decade

Aleksandra Dakic

17 papers receiving 1.1k citations

Hit Papers

ROCK Inhibitor and Feeder Cells Induce the Conditional Re...20112026201620212011100200300400500

Peers

Aleksandra Dakic
Comparison fields: 5 of 89
  • Molecular Biology 555
  • Oncology 369
  • Pulmonary and Respiratory Medicine 265
  • Epidemiology 199
  • Cancer Research 186
Replace Sandra Chapman with:
Sandra Chapman United States
Brian Cao United States
Travis Solley United States
Susanne Popp Germany
Seiya Yokoyama Japan
Alice Chuang United States
Bart Jonckx Belgium
Carlos Villacorta-Martín United States
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Aleksandra Dakic relative to Sandra Chapman United States Sandra Chapman's profile →
Citations per field
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Citations per year

Countries citing papers authored by Aleksandra Dakic

Since Specialization
Citations

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

Fields of papers citing papers by Aleksandra Dakic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aleksandra Dakic

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 1
2 7
3 7
4 25
5 5
6 37
7 2
8 33
9 105
10 1
11 88
12 36
13
ROCK Inhibitor and Feeder Cells Induce the Conditional Reprogramming of Epithelial Cellsbreakdown →
554
14 100
15 71
16 56
17 3

About Aleksandra Dakic

Aleksandra Dakic is a scholar working on Physiology, Biotechnology and Virology, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (9 papers), Cervical Cancer and HPV Research (5 papers) and Molecular Biology Techniques and Applications (4 papers). The work is most often cited by research in Oncology (369 citations), Cancer Research (186 citations) and Pulmonary and Respiratory Medicine (265 citations). Aleksandra Dakic has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Xuefeng Liu, Richard Schlegel, Vera Simić, Yiyu Zhang, Bhaskar Kallakury, Bassem R. Haddad, Olga Timofeeva, Chris Albanese, Renxiang Chen and Anatoly Dritschilo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Research and Journal of Virology.

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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