Serena Maiocchi

11 total papers · 570 total citations
6 papers, 380 citations indexed

About

Serena Maiocchi is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Oncology. According to data from OpenAlex, Serena Maiocchi has authored 6 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pulmonary and Respiratory Medicine, 2 papers in Surgery and 2 papers in Oncology. Recurrent topics in Serena Maiocchi's work include Neonatal Respiratory Health Research (2 papers), Reproductive System and Pregnancy (1 paper) and Pregnancy and preeclampsia studies (1 paper). Serena Maiocchi is often cited by papers focused on Neonatal Respiratory Health Research (2 papers), Reproductive System and Pregnancy (1 paper) and Pregnancy and preeclampsia studies (1 paper). Serena Maiocchi collaborates with scholars based in Italy, Qatar and United Arab Emirates. Serena Maiocchi's co-authors include Luca Braga, Maria Concetta Volpe, Paola Confalonieri, Francesco Salton, Barbara Ruaro, Marco Confalonieri, Elisa Baratella, Barbara Wade, Daniele Generali and Andrea Rocca and has published in prestigious journals such as International Journal of Molecular Sciences, Frontiers in Immunology and Cells.

In The Last Decade

Serena Maiocchi

6 papers receiving 374 citations

Hit Papers

The History and Mystery o... 2021 2026 2022 2024 2021 2022 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Serena Maiocchi 204 95 67 47 40 6 380
Maksym Minasyan 220 1.1× 102 1.1× 62 0.9× 27 0.6× 57 1.4× 4 376
Nuria E. Cabrera-Benítez 254 1.2× 113 1.2× 64 1.0× 18 0.4× 54 1.4× 9 406
Fei Hou 142 0.7× 189 2.0× 133 2.0× 23 0.5× 45 1.1× 9 408
Sean Mateer 85 0.4× 155 1.6× 112 1.7× 35 0.7× 29 0.7× 9 364
Mizuho Yamada 265 1.3× 99 1.0× 52 0.8× 23 0.5× 9 0.2× 7 432
Hannelore P. Van Eeckhoutte 107 0.5× 132 1.4× 78 1.2× 19 0.4× 126 3.1× 9 350
Steven W. Godbey 229 1.1× 32 0.3× 69 1.0× 61 1.3× 40 1.0× 7 367
Fengfeng Xu 63 0.3× 136 1.4× 46 0.7× 26 0.6× 38 0.9× 11 409
Bettina Oehrle 195 1.0× 96 1.0× 34 0.5× 51 1.1× 14 0.3× 8 398
David M. Skillrud 290 1.4× 71 0.7× 32 0.5× 90 1.9× 16 0.4× 8 414

Countries citing papers authored by Serena Maiocchi

Since Specialization
Citations

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

Fields of papers citing papers by Serena Maiocchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serena Maiocchi

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