Rita Padányi

34 total papers · 881 total citations
27 papers, 622 citations indexed

About

Rita Padányi is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Rita Padányi has authored 27 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 11 papers in Cell Biology and 6 papers in Physiology. Recurrent topics in Rita Padányi's work include Ion channel regulation and function (7 papers), Cellular transport and secretion (7 papers) and Protein Kinase Regulation and GTPase Signaling (6 papers). Rita Padányi is often cited by papers focused on Ion channel regulation and function (7 papers), Cellular transport and secretion (7 papers) and Protein Kinase Regulation and GTPase Signaling (6 papers). Rita Padányi collaborates with scholars based in Hungary, United States and Germany. Rita Padányi's co-authors include Ágnes Enyedi, Katalin Pászty, John T. Penniston, Luca Hegedüs, Adelaida G. Filoteo, Emanuel E. Strehler, Béla Papp, Anil Kumar Verma, Alan R. Penheiter and László Homolya and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Scientific Reports.

In The Last Decade

Rita Padányi

26 papers receiving 613 citations

Author Peers

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

Author Last Decade Papers Cites
Rita Padányi 467 117 85 78 76 27 622
Luca Hegedüs 431 0.9× 95 0.8× 121 1.4× 70 0.9× 64 0.8× 35 592
J. F. Kidd 432 0.9× 77 0.7× 89 1.0× 44 0.6× 44 0.6× 17 638
Kirsten Welkenhuyzen 450 1.0× 173 1.5× 34 0.4× 141 1.8× 49 0.6× 18 681
Hristina Ivanova 559 1.2× 238 2.0× 37 0.4× 97 1.2× 54 0.7× 18 742
Ademuyiwa S. Aromolaran 458 1.0× 153 1.3× 27 0.3× 86 1.1× 67 0.9× 15 589
Noboru Takami 458 1.0× 239 2.0× 150 1.8× 33 0.4× 61 0.8× 26 768
N van den Berghe 522 1.1× 111 0.9× 38 0.4× 26 0.3× 30 0.4× 19 663
S. OZAKI 517 1.1× 225 1.9× 48 0.6× 31 0.4× 20 0.3× 23 643
Mária Magócsi 350 0.7× 90 0.8× 181 2.1× 52 0.7× 20 0.3× 25 711
Mustafa Nazir Okur 442 0.9× 92 0.8× 129 1.5× 45 0.6× 29 0.4× 21 665

Countries citing papers authored by Rita Padányi

Since Specialization
Citations

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

Fields of papers citing papers by Rita Padányi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rita Padányi

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