Margit Kapás

763 citations
15 papers · 619 · h-index 10

Impact in

Papers in

Margit Kapás

14 papers receiving 600 citations

Peers

Margit Kapás
Comparison fields: 5 of 68
  • Psychiatry and Mental health 244
  • Cellular and Molecular Neuroscience 225
  • Biological Psychiatry 28
  • Pharmacology 94
  • Pharmacology 36
Replace Zsolt Szombathelyi with:
Zsolt Szombathelyi Hungary
Piotr Stępnicki Poland
Magda Kondej Poland
D. Getova Bulgaria
Amitabh Dash South Korea
Hans‐Juergen Moeller Germany
Angela C. Doran United States
Tomoko Horisawa Japan
Elaine Ryan United States
AJ Lees United Kingdom
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

15 of 15 papers shown
#Work
1 2011121
2 2000112
3 201698
4 201275
5 201670
6 200850
7 200629
8 202021
9 200720
10 200810
11 20199
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
15 20240

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 15 papers that have together received 619 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Receptor Mechanisms and Signaling (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Analytical Methods in Pharmaceuticals (3 papers), Schizophrenia research and treatment (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Pharmacogenetics and Drug Metabolism (1 paper) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Psychiatry and Mental health (244 citations), Cellular and Molecular Neuroscience (225 citations), Biological Psychiatry (28 citations), Pharmacology (94 citations) and Pharmacology (36 citations). Margit Kapás has collaborated with scholars based in Hungary, United States and Japan. Frequent co-authors include Béla Kiss, Katalin Sághy, István Gyertyán, Zsolt Szombathelyi, György Domány, Károly Tihanyi, Judit Laszy, I. Laszlovszky, Parviz Ghahramani and Antonia Periclou. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, Clinical and Translational Science, Bioorganic & Medicinal Chemistry Letters, Neurology and Therapy and Naunyn-Schmiedeberg s Archives of Pharmacology.

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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