Lilla Nagy

21 total papers · 561 total citations
18 papers, 461 citations indexed

About

Lilla Nagy is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Lilla Nagy has authored 18 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Oncology and 4 papers in Surgery. Recurrent topics in Lilla Nagy's work include PARP inhibition in cancer therapy (5 papers), Adipose Tissue and Metabolism (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). Lilla Nagy is often cited by papers focused on PARP inhibition in cancer therapy (5 papers), Adipose Tissue and Metabolism (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). Lilla Nagy collaborates with scholars based in Hungary, United States and Switzerland. Lilla Nagy's co-authors include Péter Bai, Tamás Fodor, Magdolna Szántó, Borbála Kiss, Attila Brunyánszki, Pál Pacher, Pál Gergely, Lucas Liaudet, László Virág and Judit Márton and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and British Journal of Pharmacology.

In The Last Decade

Lilla Nagy

18 papers receiving 455 citations

Author Peers

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

Author Last Decade Papers Cites
Lilla Nagy 248 211 65 62 53 18 461
Jatinder Singh 186 0.8× 125 0.6× 25 0.4× 21 0.3× 63 1.2× 37 425
Michihiro Sakai 288 1.2× 53 0.3× 39 0.6× 71 1.1× 48 0.9× 20 486
Eun Kyoung Yang 223 0.9× 90 0.4× 41 0.6× 86 1.4× 40 0.8× 18 451
Daniel Margerie 239 1.0× 70 0.3× 53 0.8× 38 0.6× 23 0.4× 14 449
Himangshu Sonowal 274 1.1× 47 0.2× 45 0.7× 62 1.0× 18 0.3× 20 534
Débora Kristina Alves-Fernandes 310 1.3× 111 0.5× 74 1.1× 51 0.8× 118 2.2× 14 540
Meng Shang 235 0.9× 53 0.3× 66 1.0× 51 0.8× 38 0.7× 22 461
Weili Li 245 1.0× 86 0.4× 83 1.3× 31 0.5× 25 0.5× 19 484
Sneha Mishra 204 0.8× 57 0.3× 94 1.4× 86 1.4× 135 2.5× 25 466
Nevena Zogović 273 1.1× 87 0.4× 144 2.2× 37 0.6× 20 0.4× 22 537

Countries citing papers authored by Lilla Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Lilla Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lilla Nagy

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