Éva Ágai-Csongor

634 total citations
10 papers, 512 citations indexed

About

Éva Ágai-Csongor is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, Éva Ágai-Csongor has authored 10 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 3 papers in Organic Chemistry. Recurrent topics in Éva Ágai-Csongor's work include Receptor Mechanisms and Signaling (5 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Neuroscience and Neuropharmacology Research (3 papers). Éva Ágai-Csongor is often cited by papers focused on Receptor Mechanisms and Signaling (5 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Neuroscience and Neuropharmacology Research (3 papers). Éva Ágai-Csongor collaborates with scholars based in Hungary. Éva Ágai-Csongor's co-authors include György Domány, István Gyertyán, Béla Kiss, I. Laszlovszky, Zsolt Szombathelyi, Eva Marina Schmidt, Zsolt Némethy, Károly Fazekas, Attila Horváth and Károly Tihanyi and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, Bioorganic & Medicinal Chemistry Letters and Journal of Pharmaceutical and Biomedical Analysis.

In The Last Decade

Éva Ágai-Csongor

10 papers receiving 491 citations

Peers

Éva Ágai-Csongor
Comparison fields: 5 of 56
  • Cellular and Molecular Neuroscience 249
  • Psychiatry and Mental health 236
  • Molecular Biology 191
  • Pharmacology 85
  • Organic Chemistry 66
Replace Katalin Sághy with:
Katalin Sághy Hungary
Margit Kapás Hungary
Judit Laszy Hungary
Yasufumi Uwahodo Japan
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Kumiko Tokuda Japan
Magda Kondej Poland
Szabolcs Orosz Hungary
Yoshihiro Tadori Japan
Mark R. Szewczak United States
Katalin Sághy Hungary View profile →
Citations per field, relative to Éva Ágai-Csongor
Éva Ágai-Csongor · 1×
Citations per year, relative to Éva Ágai-Csongor
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Countries citing papers authored by Éva Ágai-Csongor

Since Specialization
Citations

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

Fields of papers citing papers by Éva Ágai-Csongor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Éva Ágai-Csongor. 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 Éva Ágai-Csongor. The network helps show where Éva Ágai-Csongor may publish in the future.

Co-authorship network of co-authors of Éva Ágai-Csongor

This figure shows the co-authorship network connecting the top 25 collaborators of Éva Ágai-Csongor. A scholar is included among the top collaborators of Éva Ágai-Csongor based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Éva Ágai-Csongor. Éva Ágai-Csongor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1 24
2 5
3 74
4 1
5 290
6 58
7 19
8 17
9 23
10 1

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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2026