Attila Gábor

53 total papers · 1.7k total citations
27 papers, 915 citations indexed

About

Attila Gábor is a scholar working on Molecular Biology, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Attila Gábor has authored 27 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Control and Systems Engineering and 5 papers in Computational Theory and Mathematics. Recurrent topics in Attila Gábor's work include Gene Regulatory Network Analysis (13 papers), Bioinformatics and Genomic Networks (8 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). Attila Gábor is often cited by papers focused on Gene Regulatory Network Analysis (13 papers), Bioinformatics and Genomic Networks (8 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). Attila Gábor collaborates with scholars based in Germany, United Kingdom and Hungary. Attila Gábor's co-authors include Julio R. Banga, Julio Sáez-Rodríguez, Alejandro F. Villaverde, David Henriques, Eva Balsa‐Canto, Ricardo O. Ramirez Flores, Denis Schapiro, Jovan Tanevski, Katalin M. Hangos and Gábor Szederkényi and has published in prestigious journals such as Nucleic Acids Research, Molecular Cell and Bioinformatics.

In The Last Decade

Attila Gábor

26 papers receiving 906 citations

Author Peers

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

Author						Papers	Cites
Attila Gábor	605	82	81	78	75	27	915
Leonard A. Harris	544 0.9×	81 1.0×	74 0.9×	107 1.4×	22 0.3×	47	1.0k
Bernhard Steiert	383 0.6×	60 0.7×	26 0.3×	83 1.1×	41 0.5×	15	994
Vladislav Vyshemirsky	666 1.1×	94 1.1×	45 0.6×	145 1.9×	24 0.3×	30	956
Xiong Liu	566 0.9×	47 0.6×	59 0.7×	103 1.3×	53 0.7×	47	1.1k
Daniel Kaschek	513 0.8×	87 1.1×	29 0.4×	72 0.9×	47 0.6×	26	807
Steven Wang	340 0.6×	211 2.6×	70 0.9×	48 0.6×	31 0.4×	38	1.0k
Eric Bullinger	622 1.0×	92 1.1×	30 0.4×	130 1.7×	224 3.0×	67	1.1k
Stijn Meganck	593 1.0×	68 0.8×	118 1.5×	53 0.7×	30 0.4×	25	1.1k
Zhike Zi	845 1.4×	163 2.0×	103 1.3×	64 0.8×	13 0.2×	33	1.2k
Richa Batra	365 0.6×	57 0.7×	102 1.3×	33 0.4×	19 0.3×	30	806

Countries citing papers authored by Attila Gábor

Since Specialization

Citations

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

Fields of papers citing papers by Attila Gábor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Attila Gábor

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