Milka Perović

854 citations
37 papers · 687 · h-index 16

Impact in

Papers in

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

Milka Perović

34 papers receiving 681 citations

Peers

Milka Perović
Comparison fields: 5 of 91
  • Developmental Neuroscience 83
  • Biological Psychiatry 38
  • Aging 24
  • Neurology 97
  • Cellular and Molecular Neuroscience 176
Replace Shahar Barbash with:
Shahar Barbash Israel
Jee-Yeon Hwang United States
Mohd Waseem Akhtar United States
Vesna Tešić United States
Ernest Palomer Spain
Annika Vaarmann Estonia
Franck Dufour France
Antonella Borreca Italy
Sylvie Burnouf France
Hector De Jesús‐Cortés United States
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Citations per field
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Shahar Barbash · 1×
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 200469
3 201267
4 200348
5 201439
6 201732
7 200930
8 202030
9 201329
10 201827
11 200524
12 201624
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 687 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Biochemical effects in animals (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Nuclear Receptors and Signaling (5 papers), Nerve injury and regeneration (4 papers), Fatty Acid Research and Health (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Developmental Neuroscience (83 citations), Biological Psychiatry (38 citations), Aging (24 citations), Neurology (97 citations) and Cellular and Molecular Neuroscience (176 citations). Milka Perović has collaborated with scholars based in Serbia, United States and Belgium. Frequent co-authors include Selma Kanazir, Aleksandra Mladenović, Sabera Ruždijić, Nikola Tanić, Ljubisav Rakić, Vesna Tešić, Nevena Raičević, Kosara Smiljanić, Nataša Lončarević‐Vasiljković and Svetlana Baltic. Their work appears in journals such as Nutrients, International Journal of Molecular Sciences, Journal of Molecular Neuroscience, Journal of Alzheimer s Disease and Behavioural Brain Research.

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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