Attila Csányi

28 total papers · 1.2k total citations
14 papers, 303 citations indexed

About

Attila Csányi is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Attila Csányi has authored 14 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Attila Csányi's work include Cerebrovascular and Carotid Artery Diseases (4 papers), Microbial metabolism and enzyme function (3 papers) and Cardiovascular Health and Disease Prevention (3 papers). Attila Csányi is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (4 papers), Microbial metabolism and enzyme function (3 papers) and Cardiovascular Health and Disease Prevention (3 papers). Attila Csányi collaborates with scholars based in Hungary, United States and Germany. Attila Csányi's co-authors include Tamás Szombathy, Peter J. Goadsby, Michel D. Ferrari, Jes Olesen, K. Magyar, István Karádi, Nóra Hosszúfalusi, László Romics, Hans‐Christoph Diener and Gottfried Weidinger and has published in prestigious journals such as PLoS ONE, Stroke and Clinica Chimica Acta.

In The Last Decade

Attila Csányi

14 papers receiving 293 citations

Author Peers

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

Author						Papers	Cites
Attila Csányi	95	79	66	55	54	14	303
A Bellavance	45 0.5×	133 1.7×	63 1.0×	114 2.1×	44 0.8×	8	318
Min Fang	108 1.1×	52 0.7×	29 0.4×	9 0.2×	34 0.6×	26	340
Isabella Colonna	30 0.3×	57 0.7×	37 0.6×	61 1.1×	67 1.2×	10	279
Shoko Deguchi	58 0.6×	29 0.4×	27 0.4×	40 0.7×	26 0.5×	27	291
John A. Rowell	82 0.9×	51 0.6×	35 0.5×	24 0.4×	8 0.1×	10	316
A. Furby	105 1.1×	40 0.5×	28 0.4×	31 0.6×	47 0.9×	20	360
Lance Gould	46 0.5×	17 0.2×	30 0.5×	17 0.3×	24 0.4×	9	322
Cataldo D’Amore	24 0.3×	88 1.1×	138 2.1×	16 0.3×	19 0.4×	10	336
Jessica Fernández‐Morales	73 0.8×	169 2.1×	62 0.9×	73 1.3×	26 0.5×	15	361
Nadežda Čovičković‐Šternić	18 0.2×	44 0.6×	23 0.3×	16 0.3×	38 0.7×	26	319

Countries citing papers authored by Attila Csányi

Since Specialization

Citations

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

Fields of papers citing papers by Attila Csányi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Attila Csányi

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

All Works

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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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