Agnese Graziosi

29 total papers · 834 total citations
19 papers, 599 citations indexed

About

Agnese Graziosi is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Agnese Graziosi has authored 19 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Physiology and 3 papers in Cancer Research. Recurrent topics in Agnese Graziosi's work include Alzheimer's disease research and treatments (4 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and Nuclear Receptors and Signaling (2 papers). Agnese Graziosi is often cited by papers focused on Alzheimer's disease research and treatments (4 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and Nuclear Receptors and Signaling (2 papers). Agnese Graziosi collaborates with scholars based in Italy, United States and Brazil. Agnese Graziosi's co-authors include Giulia Sita, Fabiana Morroni, Patrizia Hrelia, Andrea Tarozzi, Eleonora Turrini, Carmela Fimognari, Julia Maeve Bonner, Susan Lindquist, Li‐Huei Tsai and Valeriya Baru and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Science Translational Medicine.

In The Last Decade

Agnese Graziosi

17 papers receiving 587 citations

Hit Papers

APOE4 disrupts intracellu... 2021 2026 2022 2024 2021 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
Agnese Graziosi 271 201 124 76 56 19 599
Xunyao Hou 213 0.8× 203 1.0× 98 0.8× 56 0.7× 32 0.6× 21 627
Faheem Ullah 180 0.7× 166 0.8× 170 1.4× 51 0.7× 60 1.1× 21 595
Bogdan Costăchescu 239 0.9× 139 0.7× 109 0.9× 48 0.6× 60 1.1× 24 699
Yan He 196 0.7× 194 1.0× 127 1.0× 36 0.5× 49 0.9× 24 553
Myeung Hoon Jo 267 1.0× 224 1.1× 203 1.6× 37 0.5× 75 1.3× 14 697
Wei Zhao 251 0.9× 148 0.7× 100 0.8× 41 0.5× 60 1.1× 42 638
Huanying Shi 302 1.1× 83 0.4× 110 0.9× 63 0.8× 41 0.7× 18 649
Fang Li 228 0.8× 125 0.6× 67 0.5× 64 0.8× 25 0.4× 22 697
Alexander Szabo 317 1.2× 212 1.1× 91 0.7× 26 0.3× 50 0.9× 19 692
Laura Xicota 173 0.6× 156 0.8× 97 0.8× 24 0.3× 53 0.9× 21 604

Countries citing papers authored by Agnese Graziosi

Since Specialization
Citations

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

Fields of papers citing papers by Agnese Graziosi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agnese Graziosi

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