Balázs Debreceni

24 total papers · 1.2k total citations
21 papers, 1.0k citations indexed

About

Balázs Debreceni is a scholar working on Molecular Biology, Oncology and Clinical Biochemistry. According to data from OpenAlex, Balázs Debreceni has authored 21 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Clinical Biochemistry. Recurrent topics in Balázs Debreceni's work include Protein Kinase Regulation and GTPase Signaling (5 papers), Mitochondrial Function and Pathology (5 papers) and Vitamin C and Antioxidants Research (3 papers). Balázs Debreceni is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (5 papers), Mitochondrial Function and Pathology (5 papers) and Vitamin C and Antioxidants Research (3 papers). Balázs Debreceni collaborates with scholars based in Hungary, United States and Italy. Balázs Debreceni's co-authors include Balázs Sümegi, Ferenc Gallyas, Yi Zheng, Kejin Zhu, Alíz Szabó, Gábor Tigyi, Katalin Hantó, Antal Tapodi, Feng Bi and Zita Bognár and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Balázs Debreceni

20 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Balázs Debreceni 614 216 157 98 90 21 1.0k
Lydia C. Pan 595 1.0× 60 0.3× 193 1.2× 114 1.2× 60 0.7× 32 1.2k
Jeung Whan Han 845 1.4× 195 0.9× 116 0.7× 122 1.2× 53 0.6× 35 1.2k
Laurie Tsuruda 572 0.9× 127 0.6× 170 1.1× 196 2.0× 32 0.4× 20 1.2k
Salida Mirzoeva 528 0.9× 87 0.4× 95 0.6× 89 0.9× 74 0.8× 24 977
Delphine M. Lees 360 0.6× 103 0.5× 122 0.8× 209 2.1× 58 0.6× 33 1.0k
Angela Lauriola 573 0.9× 99 0.5× 107 0.7× 233 2.4× 46 0.5× 23 1.1k
Salvatore Salzano 483 0.8× 110 0.5× 166 1.1× 129 1.3× 34 0.4× 25 1.2k
Tammie McQuistan 651 1.1× 238 1.1× 65 0.4× 93 0.9× 65 0.7× 20 1.2k
Rosa Zaragozá 522 0.9× 112 0.5× 194 1.2× 114 1.2× 101 1.1× 33 1.1k
P C Choy 537 0.9× 128 0.6× 31 0.2× 147 1.5× 43 0.5× 30 952

Countries citing papers authored by Balázs Debreceni

Since Specialization
Citations

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

Fields of papers citing papers by Balázs Debreceni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Balázs Debreceni

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