Mária Baranyi

112 total papers · 3.7k total citations
82 papers, 2.1k citations indexed

About

Mária Baranyi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Mária Baranyi has authored 82 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 32 papers in Cellular and Molecular Neuroscience and 22 papers in Physiology. Recurrent topics in Mária Baranyi's work include Adenosine and Purinergic Signaling (22 papers), Neuroscience and Neuropharmacology Research (20 papers) and Animal Genetics and Reproduction (11 papers). Mária Baranyi is often cited by papers focused on Adenosine and Purinergic Signaling (22 papers), Neuroscience and Neuropharmacology Research (20 papers) and Animal Genetics and Reproduction (11 papers). Mária Baranyi collaborates with scholars based in Hungary, Bulgaria and Germany. Mária Baranyi's co-authors include Beáta Sperlágh, E. Sylvester Vizi, Ágnes Kittel, Flóra Gölöncsér, Cecília Csölle, E. Milusheva, G. Zsilla, Lilla Otrokocsi, M Dóda and József Haller and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Mária Baranyi

81 papers receiving 2.1k citations

Author Peers

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

Author Last Decade Papers Cites
Mária Baranyi 757 638 580 278 259 82 2.1k
Hai‐Ying Shen 929 1.2× 788 1.2× 806 1.4× 163 0.6× 399 1.5× 58 2.6k
Ângelo R. Tomé 707 0.9× 800 1.3× 1.1k 1.8× 270 1.0× 573 2.2× 58 2.5k
Yoshitatsu Sei 1.4k 1.8× 665 1.0× 408 0.7× 186 0.7× 478 1.8× 78 3.0k
Joana E. Coelho 563 0.7× 736 1.2× 751 1.3× 197 0.7× 550 2.1× 55 2.0k
Árpád Dobolyi 1.1k 1.4× 1.1k 1.7× 288 0.5× 216 0.8× 387 1.5× 129 3.1k
Ricardo J. Rodrigues 836 1.1× 1.4k 2.3× 1.3k 2.2× 179 0.6× 558 2.2× 49 2.8k
Izumi Hide 1.0k 1.3× 701 1.1× 669 1.2× 107 0.4× 568 2.2× 70 2.8k
Maria Giuliana Vannucchi 842 1.1× 618 1.0× 405 0.7× 83 0.3× 460 1.8× 93 3.1k
Manuela Marcoli 1.1k 1.5× 1.2k 1.8× 339 0.6× 100 0.4× 254 1.0× 114 2.4k
Juana María Sanz 879 1.2× 476 0.7× 1.7k 2.9× 181 0.7× 452 1.7× 75 3.2k

Countries citing papers authored by Mária Baranyi

Since Specialization
Citations

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

Fields of papers citing papers by Mária Baranyi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mária Baranyi

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