Predrag Kalaba

752 citations
27 papers · 462 · h-index 11

Impact in

Papers in

Predrag Kalaba

26 papers receiving 454 citations

Peers

Predrag Kalaba
Comparison fields: 5 of 97
  • Behavioral Neuroscience 36
  • Pollution 109
  • Health, Toxicology and Mutagenesis 105
  • Cellular and Molecular Neuroscience 136
  • Biological Psychiatry 11
Replace Adriani Paganini Damiani with:
Adriani Paganini Damiani Brazil
Sneha Sagarkar India
Ann Power United Kingdom
Fei Luo China
Joan D Garey United States
Hanyue Wang China
D.L.W. Picanço-Diniz Brazil
Marcus Augusto‐Oliveira Brazil
Amanda Lopes-Araújo Brazil
Letícia Santos-Sacramento Brazil
Predrag Kalaba relative to Adriani Paganini Damiani Brazil Adriani Paganini Damiani's profile →
Citations per field
00.5×1.5×2.1×
Adriani Paganini Damiani · 1×
Citations per year

Countries citing papers authored by Predrag Kalaba

Since Specialization
Citations

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

Fields of papers citing papers by Predrag Kalaba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013194
2 201935
3 202022
4 201819
5 201918
6 201917
7 201717
8 201717
9 201614
10 202011
11 202210
12 202110
13 20199
14 20178
15 20198
16 20177
17 20167
18 20136
19 20226
20 20226

About Predrag Kalaba

Predrag Kalaba is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Social Psychology, Cognitive Neuroscience and Organic Chemistry, having authored 27 papers that have together received 462 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (14 papers), Neurotransmitter Receptor Influence on Behavior (11 papers), Receptor Mechanisms and Signaling (10 papers), Memory and Neural Mechanisms (5 papers), Neuroendocrine regulation and behavior (5 papers), Stress Responses and Cortisol (3 papers), Chemical synthesis and pharmacological studies (2 papers) and Research on Leishmaniasis Studies (2 papers). The work is most often cited by research in Behavioral Neuroscience (36 citations), Pollution (109 citations), Health, Toxicology and Mutagenesis (105 citations), Cellular and Molecular Neuroscience (136 citations) and Biological Psychiatry (11 citations). Predrag Kalaba has collaborated with scholars based in Austria, Germany and Russia. Frequent co-authors include Ana R. Stankovic, Slavka Stanković, Gert Lübec, Thierry Langer, Volker Korz, Marija Ilić, Martin Zehl, Ernst Urban, Judith Wackerlig and Harald Höger. Their work appears in journals such as Behavioural Brain Research, Biomolecules, Journal of Medicinal Chemistry, International Journal of Molecular Sciences and Frontiers in Behavioral Neuroscience.

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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