Gergely Talabér

18 total papers · 721 total citations
17 papers, 580 citations indexed

About

Gergely Talabér is a scholar working on Immunology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Gergely Talabér has authored 17 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 4 papers in Molecular Biology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Gergely Talabér's work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers) and Immune Response and Inflammation (4 papers). Gergely Talabér is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers) and Immune Response and Inflammation (4 papers). Gergely Talabér collaborates with scholars based in Hungary, Sweden and United States. Gergely Talabér's co-authors include Sam Okret, András Perl, Tiffany Caza, Mikael Jondal, Ferenc Boldizsár, Tímea Berki, Domokos Bartis, Pèter Németh, László Pàlinkàs and Dmitriy M. Chudakov and has published in prestigious journals such as PLoS ONE, The FASEB Journal and Annals of the Rheumatic Diseases.

In The Last Decade

Gergely Talabér

16 papers receiving 575 citations

Author Peers

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

Author Last Decade Papers Cites
Gergely Talabér 251 194 94 86 80 17 580
Cornelia M. Spies 160 0.6× 155 0.8× 143 1.5× 31 0.4× 113 1.4× 17 597
Claudia Weidler 208 0.8× 141 0.7× 92 1.0× 24 0.3× 141 1.8× 14 691
Azeb Haile 150 0.6× 243 1.3× 71 0.8× 32 0.4× 32 0.4× 17 551
Hiroko Uesugi 142 0.6× 233 1.2× 136 1.4× 128 1.5× 63 0.8× 11 647
Jianxia Peng 406 1.6× 190 1.0× 29 0.3× 75 0.9× 32 0.4× 13 633
Gopesh Srivastava 132 0.5× 205 1.1× 101 1.1× 44 0.5× 37 0.5× 30 644
Ivana Cvetković 305 1.2× 100 0.5× 30 0.3× 36 0.4× 38 0.5× 22 541
Dongwei Wang 186 0.7× 142 0.7× 21 0.2× 67 0.8× 75 0.9× 23 685
Fiorenza Magi 220 0.9× 237 1.2× 70 0.7× 29 0.3× 23 0.3× 14 552
Stefanie Tippmer 140 0.6× 270 1.4× 89 0.9× 150 1.7× 27 0.3× 12 645

Countries citing papers authored by Gergely Talabér

Since Specialization
Citations

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

Fields of papers citing papers by Gergely Talabér

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gergely Talabér

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