András Seregi

38 total papers · 1.1k total citations
33 papers, 994 citations indexed

About

András Seregi is a scholar working on Molecular Biology, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, András Seregi has authored 33 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 16 papers in Pharmacology and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in András Seregi's work include Inflammatory mediators and NSAID effects (15 papers), Receptor Mechanisms and Signaling (11 papers) and Eicosanoids and Hypertension Pharmacology (9 papers). András Seregi is often cited by papers focused on Inflammatory mediators and NSAID effects (15 papers), Receptor Mechanisms and Signaling (11 papers) and Eicosanoids and Hypertension Pharmacology (9 papers). András Seregi collaborates with scholars based in Hungary, Germany and Czechia. András Seregi's co-authors include Georg Hertting, Manfred Keller, Andràs Schaefer, Vera Ádám‐Vizi, Rolf Jackisch, G. Hertting, A. Schaefer, Péter Serfózó, Ulrich Förstermann and Angelika Schobert and has published in prestigious journals such as Brain Research, Annals of the New York Academy of Sciences and Journal of Medicinal Chemistry.

In The Last Decade

András Seregi

33 papers receiving 962 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
András Seregi 454 298 241 205 188 33 994
Hsueh‐Meei Huang 547 1.2× 316 1.1× 153 0.6× 387 1.9× 108 0.6× 43 1.2k
Chang‐Hyun Moon 403 0.9× 255 0.9× 208 0.9× 100 0.5× 89 0.5× 39 1.1k
Tsuneo Takadera 534 1.2× 323 1.1× 189 0.8× 182 0.9× 115 0.6× 42 1.1k
Kyoji Sekiguchi 422 0.9× 217 0.7× 147 0.6× 167 0.8× 154 0.8× 38 1.1k
Kotaro Takasaki 344 0.8× 184 0.6× 199 0.8× 233 1.1× 89 0.5× 36 949
G. R. Webster 630 1.4× 163 0.5× 115 0.5× 227 1.1× 205 1.1× 40 1.2k
Hsiu‐Chiung Yang 500 1.1× 162 0.5× 95 0.4× 208 1.0× 83 0.4× 28 856
Carlo De Marco 604 1.3× 159 0.5× 129 0.5× 450 2.2× 145 0.8× 36 1.2k
Osama M. Abo‐Salem 425 0.9× 354 1.2× 178 0.7× 335 1.6× 50 0.3× 27 1.2k
Susumu Otomo 392 0.9× 201 0.7× 318 1.3× 111 0.5× 106 0.6× 52 1.0k

Countries citing papers authored by András Seregi

Since Specialization
Citations

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

Fields of papers citing papers by András Seregi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of András Seregi

This figure shows the co-authorship network connecting the top 25 collaborators of András Seregi. A scholar is included among the top collaborators of András Seregi 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 András Seregi. András Seregi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026