V. Carla�

21 papers receiving 1.7k citations

Peers

V. Carla�
Comparison fields: 5 of 95
  • Biological Psychiatry 536
  • Behavioral Neuroscience 273
  • Cellular and Molecular Neuroscience 886
  • Neurology 144
  • Psychiatry and Mental health 182
Replace László Gábor Hársing with:
László Gábor Hársing Hungary
Celia M. Yates United Kingdom
Nicholas S. Stoy United Kingdom
Márcio R. Martins Brazil
Peter J. Syapin United States
Augusto V. Juorio Canada
Etsuo Okuno Japan
Dubravka Švob Štrac Croatia
Vallo Volke Estonia
Jana Hroudová Czechia
V. Carla� relative to László Gábor Hársing Hungary László Gábor Hársing's profile →
Citations per field
00.5×2×2.7×
László Gábor Hársing · 1×
Citations per year

Countries citing papers authored by V. Carla�

Since Specialization
Citations

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

Fields of papers citing papers by V. Carla�

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. Carla�. 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 V. Carla�. The network helps show where V. Carla� may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990463
2 1988246
3 1994146
4 1986135
5 2001133
6 1984124
7 198681
8 198671
9 198359
10 198952
11 199344
12 198838
13 199434
14 198433
15 198132
16 199119
17 198715
18 199112
19 19889
20 19849

About V. Carla�

V. Carla� is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry, Behavioral Neuroscience, Physiology and Hepatology, having authored 23 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Tryptophan and brain disorders (7 papers), Stress Responses and Cortisol (5 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Ion channel regulation and function (2 papers), Mitochondrial Function and Pathology (2 papers), Epilepsy research and treatment (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Biological Psychiatry (536 citations), Behavioral Neuroscience (273 citations), Cellular and Molecular Neuroscience (886 citations), Neurology (144 citations) and Psychiatry and Mental health (182 citations). V. Carla� has collaborated with scholars based in Italy, United Kingdom and Canada. Frequent co-authors include Flavio Moroni, Giovanni Lombardi, Domenico Edoardo Pellegrini-Giampietro, Marina Alesiani, Patrizia Russi, G. Moneti, Guido Mannaioni, Fulvia Bongianni, Sabina Attucci and Alberto Chiarugi. Their work appears in journals such as Journal of Neurochemistry, Journal of Pharmacology and Experimental Therapeutics, Brain Research, British Journal of Pharmacology and 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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