Dunja Lukovic

1.1k citations
31 papers · 885 · h-index 18

Impact in

Papers in

Dunja Lukovic

31 papers receiving 866 citations

Peers

Dunja Lukovic
Comparison fields: 5 of 79
  • Developmental Neuroscience 123
  • Cellular and Molecular Neuroscience 249
  • Pathology and Forensic Medicine 128
  • Molecular Biology 534
  • Genetics 71
Replace Xiangbing Wu with:
Xiangbing Wu United States
Lawrence Baizer United States
Huyan Meng United States
Shinya Kida Japan
Cecilia Zuliani Germany
Tetsuji Sekiya Japan
Knut Husmann Switzerland
Camilla Reali Italy
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Citations per field
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Citations per year

Countries citing papers authored by Dunja Lukovic

Since Specialization
Citations

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

Fields of papers citing papers by Dunja Lukovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015111
2 200080
3
Transcriptome-based molecular staging of human stem cell-derived retinal organoids uncovers accelerated photoreceptor differentiation by 9-cis retinal.
201966
4 200855
5 201552
6 202044
7 201544
8 201243
9 201341
10 201337
11 200532
12 200128
13 201227
14 201327
15 201725
16 200623
17 201819
18 201218
19 202117
20 202115

About Dunja Lukovic

Dunja Lukovic is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Developmental Neuroscience and Genetics, having authored 31 papers that have together received 885 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (11 papers), Retinal Development and Disorders (11 papers), CRISPR and Genetic Engineering (11 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Cell death mechanisms and regulation (3 papers), Nerve injury and regeneration (3 papers), Biomedical Ethics and Regulation (3 papers) and Mesenchymal stem cell research (3 papers). The work is most often cited by research in Developmental Neuroscience (123 citations), Cellular and Molecular Neuroscience (249 citations), Pathology and Forensic Medicine (128 citations), Molecular Biology (534 citations) and Genetics (71 citations). Dunja Lukovic has collaborated with scholars based in Spain, Serbia and Czechia. Frequent co-authors include Slaven Erceg, Victoria Moreno‐Manzano, Miodrag Stojković, Shomi S. Bhattacharya, David S. Ucker, Kevin J. Harvey, Pavla Jendelová, Ismael Mingarro, Eva Syková and Jesús Pérez‐Gil. Their work appears in journals such as Stem Cell Research, Stem Cells, Scientific Reports, The Journal of Cell Biology and Langmuir.

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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