Milka Radmilovich

453 citations
18 papers · 356 indexed · h-index 11

Milka Radmilovich

18 papers receiving 353 citations

Peers

Milka Radmilovich
Comparison fields: 5 of 58
  • Developmental Neuroscience 172
  • Cellular and Molecular Neuroscience 169
  • Endocrine and Autonomic Systems 44
  • Cell Biology 103
  • Sensory Systems 15
Replace Anabel Fernández with:
Anabel Fernández Uruguay
Asanka Karunaratne Australia
Philippa R. Bayley United States
John Jacob United Kingdom
RW Oppenheim United States
Elim Hong United States
Jenna R. Sternberg France
Cynthia J. Forehand United States
Lydia Djenoune France
Oressia Zalucki Australia
Milka Radmilovich relative to Anabel Fernández Uruguay Anabel Fernández's profile →
Citations per field
00.5×1.5×1.9×
Anabel Fernández · 1×
Citations per year

Countries citing papers authored by Milka Radmilovich

Since Specialization
Citations

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

Fields of papers citing papers by Milka Radmilovich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 22 scholars most cited alongside Milka Radmilovich, 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 Radmilovich Line = papers co-authored together Milka Radmilovich links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201717
2 20168
3 201210
4 201232
5 201118
6 200968
7 200839
8 200716
9 200429
10 200330
11 200231
12 19986
13 199711
14 19965
15 199310
16 19919
17
A search for a mesencephalic periaqueductal gray-cochlear nucleus connection.
19918
18 19909

About Milka Radmilovich

Milka Radmilovich is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Cell Biology, Sensory Systems and Cancer Research, having authored 18 papers that have together received 356 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (8 papers), Neurogenesis and neuroplasticity mechanisms (8 papers), Neurobiology and Insect Physiology Research (6 papers), Neuroscience and Neuropharmacology Research (5 papers), MicroRNA in disease regulation (3 papers), Physiological and biochemical adaptations (2 papers), Nitric Oxide and Endothelin Effects (2 papers) and Neuroendocrine regulation and behavior (2 papers). The work is most often cited by research in Developmental Neuroscience (172 citations), Cellular and Molecular Neuroscience (169 citations), Endocrine and Autonomic Systems (44 citations), Cell Biology (103 citations) and Sensory Systems (15 citations). Milka Radmilovich has collaborated with scholars based in Uruguay, Chile and Denmark. Frequent co-authors include O. Trujillo‐Cenóz, Anabel Fernández, Raúl E. Russo, Gabriela García, Nicolás Marichal, Ana Silva, Johan Luthman, Marisa Pedemonte, Corine Bertolotto and Ricardo A. Velluti. Their work appears in journals such as Tissue and Cell, Experimental Brain Research, The Journal of Comparative Neurology, Journal of Neuroscience and The Journal of Physiology.

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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