Milka Perović

867 citations
37 papers · 699 · h-index 16

Impact in

Papers in

    • Neuroscience and Neuropharmacology Research 7
    • Nuclear Receptors and Signaling 4
    • Nerve injury and regeneration 4
    • Biochemical effects in animals 6
    • Alzheimer's disease research and treatments 5

Milka Perović

35 papers receiving 692 citations

Peers

Milka Perović
Comparison fields: 5 of 87
  • Developmental Neuroscience 79
  • Aging 25
  • Biological Psychiatry 31
  • Neurology 88
  • Cellular and Molecular Neuroscience 170
Replace Song Jiao with:
Song Jiao China
Amanda L. Sheldon United States
Mattias Rickhag Denmark
Sufen Yang United States
Marc‐André Martel United Kingdom
Shahar Barbash Israel
Tania Scartabelli Italy
Ernest Palomer Spain
Frédéric Léveillé France
Franck Dufour France
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Citations per field
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Citations per year

Countries citing papers authored by Milka Perović

Since Specialization
Citations

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

Fields of papers citing papers by Milka Perović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200786
2 200470
3 201267
4 200348
5 201440
6 201734
7 202031
8 200930
9 201830
10 201329
11 201624
12 200524
13 201819
14 200718
15 200917
16 201915
17 200914
18 201712
19 201410
20 20059

About Milka Perović

Milka Perović is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Neurology and Neurology, having authored 37 papers that have together received 699 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Biochemical effects in animals (6 papers), Alzheimer's disease research and treatments (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Fatty Acid Research and Health (4 papers), Nuclear Receptors and Signaling (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Nerve injury and regeneration (4 papers). The work is most often cited by research in Developmental Neuroscience (79 citations), Aging (25 citations), Biological Psychiatry (31 citations), Neurology (88 citations) and Cellular and Molecular Neuroscience (170 citations). Milka Perović has collaborated with scholars based in Serbia, United States and Germany. Frequent co-authors include Selma Kanazir, Aleksandra Mladenović, Sabera Ruždijić, Ljubisav Rakić, Vesna Tešić, Nikola Tanić, Nevena Raičević, Kosara Smiljanić, Nataša Lončarević‐Vasiljković and Svetlana Baltic. Their work appears in journals such as International Journal of Molecular Sciences, Nutrients, Journal of Alzheimer s Disease, Journal of Molecular Neuroscience and Neuroreport.

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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