Ágnes Telbisz

41 total papers · 1.0k total citations
29 papers, 818 citations indexed

About

Ágnes Telbisz is a scholar working on Oncology, Surgery and Molecular Biology. According to data from OpenAlex, Ágnes Telbisz has authored 29 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Oncology, 10 papers in Surgery and 9 papers in Molecular Biology. Recurrent topics in Ágnes Telbisz's work include Drug Transport and Resistance Mechanisms (22 papers), Pharmacological Effects and Toxicity Studies (6 papers) and Trace Elements in Health (6 papers). Ágnes Telbisz is often cited by papers focused on Drug Transport and Resistance Mechanisms (22 papers), Pharmacological Effects and Toxicity Studies (6 papers) and Trace Elements in Health (6 papers). Ágnes Telbisz collaborates with scholars based in Hungary, United States and Croatia. Ágnes Telbisz's co-authors include Balázs Sarkadi, Csilla Özvegy‐Laczka, László Homolya, András Váradi, Csilla Hegedüs, Z. Somosy, Tamás Hegedűs, Gy. Horváth, Zsolt Pálfia and Éva Bakos and has published in prestigious journals such as PLoS ONE, Advanced Drug Delivery Reviews and Scientific Reports.

In The Last Decade

Ágnes Telbisz

28 papers receiving 803 citations

Author Peers

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

Author Last Decade Papers Cites
Ágnes Telbisz 472 280 154 121 108 29 818
Joe Palandra 360 0.8× 282 1.0× 87 0.6× 136 1.1× 183 1.7× 25 836
Yuichi Sugiyama 699 1.5× 249 0.9× 146 0.9× 181 1.5× 364 3.4× 21 950
Simon Lowes 538 1.1× 160 0.6× 108 0.7× 153 1.3× 262 2.4× 23 836
Bruce Dickstein 573 1.2× 327 1.2× 76 0.5× 80 0.7× 153 1.4× 20 949
N. B. Higgs 242 0.5× 352 1.3× 161 1.0× 75 0.6× 93 0.9× 25 885
Katrin Wlcek 391 0.8× 267 1.0× 60 0.4× 130 1.1× 95 0.9× 23 836
Lei Diao 173 0.4× 328 1.2× 51 0.3× 80 0.7× 60 0.6× 36 896
Curtis Oleschuk 436 0.9× 203 0.7× 108 0.7× 58 0.5× 154 1.4× 20 752
Takuro Niwa 435 0.9× 216 0.8× 140 0.9× 188 1.6× 206 1.9× 16 820
TORU KOMAI 164 0.3× 213 0.8× 148 1.0× 110 0.9× 70 0.6× 45 789

Countries citing papers authored by Ágnes Telbisz

Since Specialization
Citations

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

Fields of papers citing papers by Ágnes Telbisz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ágnes Telbisz

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