Serena Pelusi

38 total papers · 1.4k total citations
11 papers, 74 citations indexed

About

Serena Pelusi is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Serena Pelusi has authored 11 papers receiving a total of 74 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 4 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Molecular Biology. Recurrent topics in Serena Pelusi's work include Liver Disease Diagnosis and Treatment (9 papers), Diet, Metabolism, and Disease (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Serena Pelusi is often cited by papers focused on Liver Disease Diagnosis and Treatment (9 papers), Diet, Metabolism, and Disease (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Serena Pelusi collaborates with scholars based in Italy, United States and Sweden. Serena Pelusi's co-authors include Luca Valenti, Alessandro Cherubini, Daniele Prati, Guido Baselli, Cristiana Bianco, Laura Silvestri, Lorena Airaghi, Umberto Vespasiani‐Gentilucci, Grazia Pennisi and Giovanna Musco and has published in prestigious journals such as Journal of Hepatology, Trends in Molecular Medicine and Frontiers in Genetics.

In The Last Decade

Serena Pelusi

10 papers receiving 71 citations

Hit Papers

Sexual dimorphism of meta... 2024 2026 2024 10 20 30 40 50

Author Peers

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

Author Last Decade Papers Cites
Serena Pelusi 52 22 19 14 10 11 74
Madhavi Rudraraju 61 1.2× 22 1.0× 37 1.9× 7 0.5× 12 1.2× 12 89
Caitlyn Tan 90 1.7× 41 1.9× 57 3.0× 20 1.4× 20 2.0× 15 213
Ahmet Muzaffer Demir 50 1.0× 5 0.2× 21 1.1× 20 1.4× 8 0.8× 12 84
Barbara Buday 21 0.4× 21 1.0× 3 0.2× 16 1.1× 21 2.1× 8 76
C. Iegri 53 1.0× 6 0.3× 46 2.4× 9 0.6× 15 1.5× 8 76
Amir Bashkin 44 0.8× 37 1.7× 5 0.3× 42 3.0× 26 2.6× 12 218
José-Ángel Martín-Oterino 31 0.6× 5 0.2× 13 0.7× 12 0.9× 6 0.6× 15 70
Elizabeth Litkowski 19 0.4× 20 0.9× 4 0.2× 14 1.0× 21 2.1× 12 75
J. L. Bollman 40 0.8× 16 0.7× 21 1.1× 17 1.2× 29 2.9× 14 218
Alvin Wei Tian Ng 34 0.7× 9 0.4× 24 1.3× 3 0.2× 5 0.5× 9 68

Countries citing papers authored by Serena Pelusi

Since Specialization
Citations

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

Fields of papers citing papers by Serena Pelusi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serena Pelusi

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