Robert Gerlai

22.3k citations
256 papers · 16.2k indexed · 5 hit papers · h-index 68

Robert Gerlai

256 papers receiving 15.9k citations

Hit Papers

Zebrafish models for translationa...5071996202620062016250500750

Peers

Robert Gerlai
Comparison fields: 5 of 168
  • Cell Biology 8.7k
  • Neurology 2.1k
  • Cellular and Molecular Neuroscience 4.5k
  • Behavioral Neuroscience 765
  • Nature and Landscape Conservation 2.4k
Replace Allan V. Kalueff with:
Allan V. Kalueff Russia
Adam Stewart United States
Pertti Panula Finland
Herwig Baier United States
Harvey J. Karten United States
Monte Westerfield United States
Hans‐Peter Lipp Switzerland
Florian Engert United States
Anton Reiner United States
Rudolf Nieuwenhuys Netherlands
Robert Gerlai relative to Allan V. Kalueff Russia Allan V. Kalueff's profile →
Citations per field
00.5×1.5×2.0×
Allan V. Kalueff · 1×
Citations per year

Countries citing papers authored by Robert Gerlai

Since Specialization
Citations

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

Fields of papers citing papers by Robert Gerlai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20236
3 20235
4 20225
5 20222
6 20215
7 20214
8 20195
9 20176
10 20178
11 201763
12 201674
13 20163
14 201521
15 201475
16 201453
17
Zebrafish models for translational neuroscience research: from tank to bedsidebreakdown →
2014507
18
Zebrafish as an emerging model for studying complex brain disordersbreakdown →
2014864
19 2010157
20 199663

About Robert Gerlai

Robert Gerlai is a scholar working on Cell Biology, Cellular and Molecular Neuroscience and Neurology, having authored 256 papers that have together received 16.2k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (160 papers), Fish Ecology and Management Studies (43 papers), Memory and Neural Mechanisms (43 papers), Neuroscience and Neuropharmacology Research (42 papers), Animal Behavior and Reproduction (32 papers), Neuroinflammation and Neurodegeneration Mechanisms (30 papers), Neurotransmitter Receptor Influence on Behavior (29 papers) and Receptor Mechanisms and Signaling (28 papers). The work is most often cited by research in Cell Biology (8.7k citations), Neurology (2.1k citations) and Cellular and Molecular Neuroscience (4.5k citations). Robert Gerlai has collaborated with scholars based in Canada, United States and Spain. Frequent co-authors include Allan V. Kalueff, Adam Stewart, John Roder, Diptendu Chatterjee, Noam Miller, Steven Tran, Christine Buske, Luis M. Gómez‐Laplaza, Yohaan Fernandes and Rachel Blaser. Their work appears in journals such as Behavioural Brain Research, Progress in Neuro-Psychopharmacology and Biological Psychiatry, Trends in Neurosciences, Zebrafish and Pharmacology Biochemistry and Behavior.

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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