Ivan Divac

7.4k citations
115 papers · 5.7k indexed · 1 hit paper · h-index 34

Ivan Divac

113 papers receiving 5.3k citations

Hit Papers

Biochemical evidence for glutamate as neurotransmitter in...4601981202619962011100200300400

Peers

Ivan Divac
Comparison fields: 5 of 118
  • Cellular and Molecular Neuroscience 3.6k
  • Cognitive Neuroscience 2.7k
  • Developmental Biology 234
  • Behavioral Neuroscience 308
  • Developmental Neuroscience 274
Replace Larry L. Butcher with:
Larry L. Butcher United States
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James M. Tepper United States
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Citations per field
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Larry L. Butcher · 1×
Citations per year

Countries citing papers authored by Ivan Divac

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Divac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20089
3 199626
4 19955
5 199518
6 19952
7 199517
8 199415
9 19944
10 199320
11 199372
12 199212
13 198713
14 19878
15 198725
16 1982120
17
The Neostriatum : proceedings of a workshop sponsored by the European Brain and Behaviour Society, Denmark, 17-19 April 1978
19791
18
Subcortical afferents to the prefrontal cortex: organization of mesencephalic dopaminergic and mediodorsal thalamic projections.
197710
19 19769
20
CONVERGING PROJECTIONS FROM MEDIODORSAL THALAMIC NUCLEUS AND MESENCEPHALIC DOPAMINERGIC-NEURONS TO NEOCORTEX IN 3 SPECIES
19755

About Ivan Divac

Ivan Divac is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Behavioral Neuroscience, Developmental Neuroscience and Animal Science and Zoology, having authored 115 papers that have together received 5.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (44 papers), Memory and Neural Mechanisms (32 papers), Neurotransmitter Receptor Influence on Behavior (18 papers), Neural dynamics and brain function (14 papers), Neuroendocrine regulation and behavior (10 papers), Functional Brain Connectivity Studies (9 papers), Neurological disorders and treatments (8 papers) and Animal Nutrition and Physiology (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.6k citations), Cognitive Neuroscience (2.7k citations), Developmental Biology (234 citations), Behavioral Neuroscience (308 citations) and Developmental Neuroscience (274 citations). Ivan Divac has collaborated with scholars based in Denmark, United States and Spain. Frequent co-authors include Frode Fonnum, Jon Storm‐Mathisen, Anders Björklund, Jesper Mogensen, Olle Lindvall, H. Enger Rosvold, Monika Pritzel, Hans J. Markowitsch, Jens Larsen and R. Gunilla E. Öberg. Their work appears in journals such as Brain Research, Neuroscience, Behavioural Brain Research, Behavioral Neuroscience and Trends in Neurosciences.

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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