Gina Puska

21 total papers · 641 total citations
15 papers, 461 citations indexed

About

Gina Puska is a scholar working on Molecular Biology, Social Psychology and Cell Biology. According to data from OpenAlex, Gina Puska has authored 15 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Social Psychology and 4 papers in Cell Biology. Recurrent topics in Gina Puska's work include Neuroendocrine regulation and behavior (5 papers), Cellular transport and secretion (3 papers) and Stress Responses and Cortisol (2 papers). Gina Puska is often cited by papers focused on Neuroendocrine regulation and behavior (5 papers), Cellular transport and secretion (3 papers) and Stress Responses and Cortisol (2 papers). Gina Puska collaborates with scholars based in Hungary, United States and Austria. Gina Puska's co-authors include Gabriella Pòcsfalvi, Lilla Turiák, Alfredo Ambrosone, Immacolata Fiume, Károly Vékey, Pasquale Del Gaudio, Péter Lőrincz, Árpád Dobolyi, Kinga Molnár and Mirjam I. Lutz and has published in prestigious journals such as Current Biology, Scientific Reports and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Gina Puska

15 papers receiving 456 citations

Author Peers

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

Author Last Decade Papers Cites
Gina Puska 203 100 93 79 78 15 461
Siranjeevi Nagaraj 257 1.3× 80 0.8× 149 1.6× 66 0.8× 77 1.0× 16 495
Burak Tepe 242 1.2× 30 0.3× 50 0.5× 124 1.6× 85 1.1× 16 527
Behnam Vafadari 150 0.7× 38 0.4× 74 0.8× 90 1.1× 72 0.9× 11 453
Kyung Ah Han 273 1.3× 81 0.8× 74 0.8× 208 2.6× 60 0.8× 21 485
Shiraz Tyebji 269 1.3× 69 0.7× 44 0.5× 158 2.0× 57 0.7× 13 506
Carla Brancia 182 0.9× 120 1.2× 127 1.4× 158 2.0× 34 0.4× 22 529
Romana Tomasoni 215 1.1× 34 0.3× 84 0.9× 128 1.6× 83 1.1× 10 481
Duncan M. Short 238 1.2× 31 0.3× 41 0.4× 104 1.3× 57 0.7× 14 539
Andreas Genewsky 200 1.0× 63 0.6× 59 0.6× 189 2.4× 28 0.4× 18 504
Xiaoting Wu 228 1.1× 19 0.2× 61 0.7× 114 1.4× 37 0.5× 14 488

Countries citing papers authored by Gina Puska

Since Specialization
Citations

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

Fields of papers citing papers by Gina Puska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gina Puska

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