Margit Kapás

753 citations
14 papers · 608 · h-index 10

Impact in

Papers in

Margit Kapás

14 papers receiving 589 citations

Peers

Margit Kapás
Comparison fields: 5 of 71
  • Psychiatry and Mental health 289
  • Cellular and Molecular Neuroscience 260
  • Biological Psychiatry 34
  • Pharmacology 115
  • Pharmacology 39
Replace Zsolt Szombathelyi with:
Zsolt Szombathelyi Hungary
Elaine Ryan United States
Tanja Veselinović Germany
Debbi Ann Morrissette United States
Tomoko Horisawa Japan
Piotr Stępnicki Finland
Louis R. Ptak United States
Yasufumi Uwahodo Japan
Hans‐Juergen Moeller Germany
Magda Kondej Poland
Margit Kapás relative to Zsolt Szombathelyi Hungary Zsolt Szombathelyi's profile →
Citations per field
00.5×1.5×
Zsolt Szombathelyi · 1×
Citations per year

Countries citing papers authored by Margit Kapás

Since Specialization
Citations

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

Fields of papers citing papers by Margit Kapás

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2011119
2 2000111
3 201697
4 201274
5 201668
6 200850
7 200629
8 202020
9 200719
10 200810
11 20197
12
[Cariprazine, a new type - dopamine D₃ receptor preferring - partial agonist atypical antipsychotic for the treatment of schizophrenia and the primary negative symptoms].
20192
13 20011
14 19961

About Margit Kapás

Margit Kapás is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Psychiatry and Mental health and Analytical Chemistry, having authored 14 papers that have together received 608 indexed citations. Recurring topics across this work include Schizophrenia research and treatment (5 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Receptor Mechanisms and Signaling (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Analytical Methods in Pharmaceuticals (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Treatment of Major Depression (2 papers). The work is most often cited by research in Psychiatry and Mental health (289 citations), Cellular and Molecular Neuroscience (260 citations), Biological Psychiatry (34 citations), Pharmacology (115 citations) and Pharmacology (39 citations). Margit Kapás has collaborated with scholars based in Hungary, United States and Sweden. Frequent co-authors include Béla Kiss, István Gyertyán, Zsolt Szombathelyi, Katalin Sághy, György Domány, Károly Tihanyi, Judit Laszy, I. Laszlovszky, Ádám Vas and Vera Ádám‐Vizi. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, Journal of Pharmacology and Experimental Therapeutics, Naunyn-Schmiedeberg s Archives of Pharmacology, Bioorganic & Medicinal Chemistry Letters and Clinical and Translational Science.

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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