Gabriella Béke

35 total papers · 584 total citations
14 papers, 364 citations indexed

About

Gabriella Béke is a scholar working on Dermatology, Molecular Biology and Physiology. According to data from OpenAlex, Gabriella Béke has authored 14 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Dermatology, 4 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in Gabriella Béke's work include Dermatology and Skin Diseases (8 papers), Retinoids in leukemia and cellular processes (3 papers) and Allergic Rhinitis and Sensitization (3 papers). Gabriella Béke is often cited by papers focused on Dermatology and Skin Diseases (8 papers), Retinoids in leukemia and cellular processes (3 papers) and Allergic Rhinitis and Sensitization (3 papers). Gabriella Béke collaborates with scholars based in Hungary, Germany and United Kingdom. Gabriella Béke's co-authors include Andrea Szegedi, Tamás Bı́ró, Krisztián Gáspár, Anikó Kapitány, Ralph Rühl, Zsolt Dajnoki, Dániel Törőcsik, Johanna Mihály, Szilárd Póliska and Ada L. García and has published in prestigious journals such as The FASEB Journal, International Journal of Molecular Sciences and Frontiers in Immunology.

In The Last Decade

Gabriella Béke

14 papers receiving 361 citations

Author Peers

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

Author						Papers	Cites
Gabriella Béke	195	66	63	48	44	14	364
Miyoung Park	140 0.7×	81 1.2×	41 0.7×	60 1.3×	53 1.2×	19	403
M. Bosnic	256 1.3×	64 1.0×	24 0.4×	11 0.2×	51 1.2×	16	401
Juliane Reuter	171 0.9×	90 1.4×	59 0.9×	14 0.3×	20 0.5×	11	381
Sudhir M. Baswan	143 0.7×	57 0.9×	49 0.8×	21 0.4×	81 1.8×	15	396
Andrea Stancato	98 0.5×	112 1.7×	54 0.9×	19 0.4×	117 2.7×	10	403
Masato Hatao	219 1.1×	38 0.6×	30 0.5×	23 0.5×	106 2.4×	16	381
Bihua Liang	150 0.8×	102 1.5×	56 0.9×	10 0.2×	65 1.5×	24	358
Metka Adamič	232 1.2×	54 0.8×	50 0.8×	10 0.2×	40 0.9×	13	387
Jeung‐Hyun Koo	74 0.4×	118 1.8×	46 0.7×	18 0.4×	123 2.8×	15	345
Meagen McCusker	100 0.5×	53 0.8×	46 0.7×	7 0.1×	15 0.3×	8	324

Countries citing papers authored by Gabriella Béke

Since Specialization

Citations

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

Fields of papers citing papers by Gabriella Béke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriella Béke

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