Elisa Principi

27 total papers · 1.3k total citations
20 papers, 1.0k citations indexed

About

Elisa Principi is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Elisa Principi has authored 20 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Physiology and 3 papers in Genetics. Recurrent topics in Elisa Principi's work include Adipose Tissue and Metabolism (3 papers), Nanoparticles: synthesis and applications (3 papers) and Adenosine and Purinergic Signaling (3 papers). Elisa Principi is often cited by papers focused on Adipose Tissue and Metabolism (3 papers), Nanoparticles: synthesis and applications (3 papers) and Adenosine and Purinergic Signaling (3 papers). Elisa Principi collaborates with scholars based in Italy, Germany and United Kingdom. Elisa Principi's co-authors include Ranieri Cancedda, Luigi Varesio, Michela Pozzobon, Carolina Balbi, Luisa Pascucci, Pamela Becherini, Daniele Reverberi, Adriana Albini, Chiara Franzin and Valentina Ulivi and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Cellular and Molecular Life Sciences.

In The Last Decade

Elisa Principi

18 papers receiving 1.0k citations

Hit Papers

Mesenchymal Stem Cell-Der... 2017 2026 2020 2023 2017 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Elisa Principi 530 224 210 140 137 20 1.0k
Yeonsue Jang 508 1.0× 171 0.8× 266 1.3× 158 1.1× 124 0.9× 29 1.2k
Haoyan Huang 468 0.9× 133 0.6× 149 0.7× 139 1.0× 142 1.0× 32 959
Fatemeh Atashi 395 0.7× 336 1.5× 170 0.8× 137 1.0× 130 0.9× 12 937
Wancheng Chen 567 1.1× 132 0.6× 306 1.5× 103 0.7× 59 0.4× 20 879
Min Qiao 756 1.4× 98 0.4× 175 0.8× 124 0.9× 126 0.9× 15 1.2k
Silvia Baldari 600 1.1× 231 1.0× 271 1.3× 108 0.8× 182 1.3× 24 1.2k
Paz de la Torre 302 0.6× 156 0.7× 89 0.4× 144 1.0× 132 1.0× 31 815
Alexander Markov 449 0.8× 246 1.1× 199 0.9× 120 0.9× 147 1.1× 43 1.1k
Erman Chen 479 0.9× 144 0.6× 116 0.6× 232 1.7× 344 2.5× 38 1.2k
Yuyi Han 288 0.5× 249 1.1× 81 0.4× 75 0.5× 128 0.9× 22 879

Countries citing papers authored by Elisa Principi

Since Specialization
Citations

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

Fields of papers citing papers by Elisa Principi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisa Principi

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