Tamás Gerecsei

23 total papers · 478 total citations
14 papers, 332 citations indexed

About

Tamás Gerecsei is a scholar working on Biomedical Engineering, Immunology and Allergy and Molecular Biology. According to data from OpenAlex, Tamás Gerecsei has authored 14 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 4 papers in Immunology and Allergy and 3 papers in Molecular Biology. Recurrent topics in Tamás Gerecsei's work include Microfluidic and Bio-sensing Technologies (6 papers), 3D Printing in Biomedical Research (4 papers) and Cell Adhesion Molecules Research (4 papers). Tamás Gerecsei is often cited by papers focused on Microfluidic and Bio-sensing Technologies (6 papers), 3D Printing in Biomedical Research (4 papers) and Cell Adhesion Molecules Research (4 papers). Tamás Gerecsei collaborates with scholars based in Hungary. Tamás Gerecsei's co-authors include Róbert Horváth, Bálint Szabó, Beatrix Péter, Inna Székács, András Saftics, Norbert Orgován, Sándor Kurunczi, Noémi Sándor, Zsuzsa Bajtay and Péter Fürjes and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and Langmuir.

In The Last Decade

Tamás Gerecsei

14 papers receiving 330 citations

Author Peers

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

Author Last Decade Papers Cites
Tamás Gerecsei 195 84 81 81 38 14 332
Yuan Chang 94 0.5× 110 1.3× 110 1.4× 73 0.9× 14 0.4× 7 302
Anwesha Sarkar 94 0.5× 138 1.6× 102 1.3× 128 1.6× 32 0.8× 22 343
Jeffrey S. Burmeister 160 0.8× 97 1.2× 96 1.2× 66 0.8× 24 0.6× 7 344
Roxanne Glazier 97 0.5× 109 1.3× 187 2.3× 116 1.4× 9 0.2× 11 336
Mélanie T. M. Hannebelle 101 0.5× 61 0.7× 118 1.5× 50 0.6× 19 0.5× 12 355
Xiaobo Xing 100 0.5× 75 0.9× 168 2.1× 61 0.8× 20 0.5× 17 365
Carlos Matellan 150 0.8× 94 1.1× 70 0.9× 19 0.2× 17 0.4× 13 300
Tobias Lendenmann 132 0.7× 165 2.0× 47 0.6× 72 0.9× 42 1.1× 9 303
Anna H. Lippert 103 0.5× 99 1.2× 105 1.3× 46 0.6× 10 0.3× 13 298
D. Knebel 108 0.6× 167 2.0× 76 0.9× 171 2.1× 23 0.6× 8 356

Countries citing papers authored by Tamás Gerecsei

Since Specialization
Citations

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

Fields of papers citing papers by Tamás Gerecsei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamás Gerecsei

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