Andrea Nagy

68 total papers · 694 total citations
39 papers, 432 citations indexed

About

Andrea Nagy is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Andrea Nagy has authored 39 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cardiology and Cardiovascular Medicine and 8 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Andrea Nagy's work include Pharmacological Effects and Toxicity Studies (4 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers) and Neonatal and fetal brain pathology (4 papers). Andrea Nagy is often cited by papers focused on Pharmacological Effects and Toxicity Studies (4 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers) and Neonatal and fetal brain pathology (4 papers). Andrea Nagy collaborates with scholars based in Hungary, United States and United Kingdom. Andrea Nagy's co-authors include Attila Gáspár, László Bognár, Katalin Monostory, Katalin Tóth, Ádám Kiss, István Pataki, Erzsébet Balogh, Éva Oláh, István Lázár and Zoltán Barta and has published in prestigious journals such as Genes & Development, International Journal of Molecular Sciences and Journal of Chromatography A.

In The Last Decade

Andrea Nagy

36 papers receiving 423 citations

Author Peers

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

Author						Papers	Cites
Andrea Nagy	131	85	74	68	53	39	432
Yan Rong	51 0.4×	156 1.8×	48 0.6×	31 0.5×	21 0.4×	66	442
Raquel Costa	64 0.5×	201 2.4×	92 1.2×	25 0.4×	13 0.2×	26	457
Kenneth R. Copeland	133 1.0×	154 1.8×	21 0.3×	78 1.1×	18 0.3×	26	431
Emi Hayashinaka	74 0.6×	123 1.4×	22 0.3×	38 0.6×	16 0.3×	24	392
Annamaria Landolfi	27 0.2×	163 1.9×	36 0.5×	35 0.5×	16 0.3×	24	464
Alice Kuster	43 0.3×	126 1.5×	13 0.2×	44 0.6×	78 1.5×	22	430
Katalin Jakab	62 0.5×	112 1.3×	21 0.3×	36 0.5×	5 0.1×	33	409
So Won Kim	42 0.3×	131 1.5×	39 0.5×	48 0.7×	6 0.1×	30	376
Wenhua Xu	27 0.2×	111 1.3×	30 0.4×	29 0.4×	14 0.3×	23	448
Ramesh Vidavalur	76 0.6×	105 1.2×	30 0.4×	51 0.8×	8 0.2×	23	370

Countries citing papers authored by Andrea Nagy

Since Specialization

Citations

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

Fields of papers citing papers by Andrea Nagy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Nagy

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Nagy. A scholar is included among the top collaborators of Andrea Nagy 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 Andrea Nagy. Andrea Nagy 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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