Libor Uttl

457 citations
11 papers · 341 · h-index 8

Impact in

  • Toxicology top 2%
    • Forensic Toxicology and Drug Analysis
    • Cannabis and Cannabinoid Research

Papers in

Libor Uttl

11 papers receiving 321 citations

Peers

Libor Uttl
Comparison fields: 5 of 64
  • Toxicology 76
  • Pharmacology 195
  • Cellular and Molecular Neuroscience 132
  • Biological Psychiatry 11
  • Endocrine and Autonomic Systems 21
Replace Eva Lhotková with:
Eva Lhotková Czechia
Marcus S. Delatte United States
Gilberto N. Carmona United States
Natalia Murataeva United States
Angelo Casu Italy
Ayat Zagzoog Canada
Esmaeil Mansouri Canada
Matthew F. Lazenka United States
J P Sullivan United States
Bjørnar den Hollander Finland
Libor Uttl relative to Eva Lhotková Czechia Eva Lhotková's profile →
Citations per field
00.5×1.5×1.8×
Eva Lhotková · 1×
Citations per year

Countries citing papers authored by Libor Uttl

Since Specialization
Citations

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

Fields of papers citing papers by Libor Uttl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2017176
2 201758
3 201826
4 201825
5 201819
6 202113
7 201911
8 20199
9 20192
10 20221
11 20231

About Libor Uttl

Libor Uttl is a scholar working on Cellular and Molecular Neuroscience, Psychiatry and Mental health, Pharmacology, Toxicology and Physiology, having authored 11 papers that have together received 341 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Epilepsy research and treatment (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Cannabis and Cannabinoid Research (3 papers), Adenosine and Purinergic Signaling (3 papers), Forensic Toxicology and Drug Analysis (3 papers), Psychedelics and Drug Studies (2 papers) and Memory and Neural Mechanisms (1 paper). The work is most often cited by research in Toxicology (76 citations), Pharmacology (195 citations), Cellular and Molecular Neuroscience (132 citations), Biological Psychiatry (11 citations) and Endocrine and Autonomic Systems (21 citations). Libor Uttl has collaborated with scholars based in Czechia, Italy and Netherlands. Frequent co-authors include Tomáš Páleníček, Kristýna Štefková, Klára Šíchová, Rachel R. Horsley, Marie Balı́ková, Martin Kuchař, Tomáš Hložek, Eva Lhotková, Filip Tylš and Hana Kubová. Their work appears in journals such as Frontiers in Pharmacology, Frontiers in Psychiatry, International Journal of Molecular Sciences, Neurotherapeutics and Pharmaceuticals.

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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