Andrea Lubics

79 total papers · 2.4k total citations
68 papers, 2.1k citations indexed

About

Andrea Lubics is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Surgery. According to data from OpenAlex, Andrea Lubics has authored 68 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Cellular and Molecular Neuroscience, 31 papers in Molecular Biology and 17 papers in Surgery. Recurrent topics in Andrea Lubics's work include Neuropeptides and Animal Physiology (49 papers), Receptor Mechanisms and Signaling (24 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (17 papers). Andrea Lubics is often cited by papers focused on Neuropeptides and Animal Physiology (49 papers), Receptor Mechanisms and Signaling (24 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (17 papers). Andrea Lubics collaborates with scholars based in Hungary, United States and Japan. Andrea Lubics's co-authors include Dóra Reglődi, Andrea Tamás, Istvàn Lengvári, P. Kiss, Luca Szalontay, Bóglárka Rácz, Gábor K. Tóth, M Szalai, Ferenc Gallyas and József Németh and has published in prestigious journals such as Brain Research, Annals of the New York Academy of Sciences and Neuroscience.

In The Last Decade

Andrea Lubics

68 papers receiving 2.1k citations

Author Peers

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

Author Last Decade Papers Cites
Andrea Lubics 1.5k 892 398 258 240 68 2.1k
Istvàn Lengvári 1.2k 0.8× 704 0.8× 285 0.7× 249 1.0× 207 0.9× 68 1.9k
Brigitte Krisch 1.0k 0.7× 801 0.9× 209 0.5× 324 1.3× 118 0.5× 76 2.4k
Vincent Lelièvre 1.2k 0.8× 848 1.0× 236 0.6× 318 1.2× 506 2.1× 82 2.8k
Anthony Falluel‐Morel 1.4k 0.9× 1.1k 1.2× 325 0.8× 244 0.9× 139 0.6× 35 2.7k
Kenji Takami 1.6k 1.0× 1.1k 1.3× 332 0.8× 148 0.6× 110 0.5× 69 2.6k
Y. Sano 1.3k 0.8× 780 0.9× 186 0.5× 414 1.6× 122 0.5× 110 3.0k
Philippe Leroux 1.4k 0.9× 1.2k 1.3× 158 0.4× 245 0.9× 468 1.9× 124 3.0k
G. Miller Jonakait 1.4k 1.0× 935 1.0× 199 0.5× 200 0.8× 198 0.8× 64 2.7k
Ingrid M. Nijholt 843 0.6× 820 0.9× 147 0.4× 182 0.7× 94 0.4× 84 2.4k
Jerome L. Maderdrut 2.1k 1.4× 1.3k 1.4× 335 0.8× 339 1.3× 78 0.3× 52 3.1k

Countries citing papers authored by Andrea Lubics

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Lubics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Lubics

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