J. Gaál

681 citations
27 papers · 541 indexed · h-index 12

Impact in

Papers in

J. Gaál

27 papers receiving 525 citations

Peers

J. Gaál
Comparison fields: 5 of 73
  • Cellular and Molecular Neuroscience 378
  • Biological Psychiatry 17
  • Behavioral Neuroscience 22
  • Pharmacology 72
  • Molecular Biology 289
Replace Tracey Gager with:
Tracey Gager United Kingdom
Gordon Crosby United States
William J. Giardina United States
William Billard United States
Torsten May Germany
Stephan Hjorth Sweden
A. Suria Pakistan
Cathy L. Bell-Horner United States
A. Barbara Pflueger United States
P. A. Baumann Switzerland
J. Gaál relative to Tracey Gager United Kingdom Tracey Gager's profile →
Citations per field
00.5×
Tracey Gager · 1×
Citations per year

Countries citing papers authored by J. Gaál

Since Specialization
Citations

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

Fields of papers citing papers by J. Gaál

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201242
2 201159
3 201176
4 200967
5 200759
6 20055
7 200512
8 199616
9 19959
10 19952
11 199415
12 19933
13 19921
14 19921
15 19923
16 19911
17
Effect of MAO inhibitors on the uptake and metabolism of dopamine in rat and human brain.
199024
18 198678
19 197622
20 19745

About J. Gaál

J. Gaál is a scholar working on Cellular and Molecular Neuroscience, Biochemistry, Neurology, Complementary and alternative medicine and Spectroscopy, having authored 27 papers that have together received 541 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (10 papers), Receptor Mechanisms and Signaling (9 papers), Neuroscience and Neuropharmacology Research (6 papers), Analytical Chemistry and Chromatography (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Nicotinic Acetylcholine Receptors Study (3 papers), Memory and Neural Mechanisms (2 papers) and Biochemical Analysis and Sensing Techniques (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (378 citations), Biological Psychiatry (17 citations), Behavioral Neuroscience (22 citations), Pharmacology (72 citations) and Molecular Biology (289 citations). J. Gaál has collaborated with scholars based in Hungary, United States and Czechia. Frequent co-authors include Eliot L. Gardner, Zheng‐Xiong Xi, Xia Li, Xiao‐Qing Peng, Rui Song, E. Sylvester Vizi, Sándor Bernáth, László G. Hársing, J. Kapocsi and George T. Somogyi. Their work appears in journals such as Psychopharmacology, Progress in brain research, Journal of Chromatography A, Addiction Biology and Journal of Pharmacology and Experimental Therapeutics.

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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