Petroula Proitsi

199 total papers · 31.0k total citations
62 papers, 3.0k citations indexed

About

Petroula Proitsi is a scholar working on Physiology, Molecular Biology and Genetics. According to data from OpenAlex, Petroula Proitsi has authored 62 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Physiology, 28 papers in Molecular Biology and 16 papers in Genetics. Recurrent topics in Petroula Proitsi's work include Alzheimer's disease research and treatments (25 papers), Metabolomics and Mass Spectrometry Studies (14 papers) and Genetic Associations and Epidemiology (13 papers). Petroula Proitsi is often cited by papers focused on Alzheimer's disease research and treatments (25 papers), Metabolomics and Mass Spectrometry Studies (14 papers) and Genetic Associations and Epidemiology (13 papers). Petroula Proitsi collaborates with scholars based in United Kingdom, Italy and Poland. Petroula Proitsi's co-authors include Simon Lovestone, John Powell, Magda Tsolaki, Bruno Vellas, Patrizia Mecocci, Iwona Kłoszewska, Hilkka Soininen, Richard Dobson, Latha Velayudhan and Andrew Simmons and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Petroula Proitsi

58 papers receiving 2.9k citations

Author Peers

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

Author Last Decade Papers Cites
Petroula Proitsi 1.3k 1.3k 544 432 383 62 3.0k
Thomas S. Wingo 1.0k 0.8× 1.4k 1.1× 654 1.2× 398 0.9× 527 1.4× 78 3.3k
Jiong Shi 1.1k 0.9× 811 0.6× 490 0.9× 491 1.1× 241 0.6× 79 2.9k
G. Y. Wen 1.7k 1.3× 1.6k 1.2× 554 1.0× 526 1.2× 462 1.2× 79 4.1k
Beatrice Arosio 1.2k 1.0× 1.5k 1.2× 339 0.6× 453 1.0× 303 0.8× 147 3.9k
Zsuzsanna Nagy 1.6k 1.2× 1.3k 1.0× 752 1.4× 467 1.1× 217 0.6× 90 3.8k
Paulo Fontoura 719 0.6× 1.1k 0.9× 400 0.7× 305 0.7× 246 0.6× 91 3.6k
Monique M. Cherrier 1.2k 0.9× 725 0.6× 745 1.4× 421 1.0× 406 1.1× 60 4.4k
Nilüfer Ertekin‐Taner 1.5k 1.2× 1.2k 0.9× 643 1.2× 448 1.0× 574 1.5× 108 2.8k
Huidong Tang 1.1k 0.8× 1.2k 0.9× 428 0.8× 413 1.0× 165 0.4× 89 2.8k
M. Axel Wollmer 1.3k 1.0× 955 0.7× 351 0.6× 474 1.1× 307 0.8× 55 2.9k

Countries citing papers authored by Petroula Proitsi

Since Specialization
Citations

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

Fields of papers citing papers by Petroula Proitsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petroula Proitsi

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