Sara Grassi

24 total papers · 891 total citations
16 papers, 639 citations indexed

About

Sara Grassi is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Sara Grassi has authored 16 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Cell Biology and 6 papers in Physiology. Recurrent topics in Sara Grassi's work include Sphingolipid Metabolism and Signaling (8 papers), Lipid Membrane Structure and Behavior (7 papers) and Cellular transport and secretion (6 papers). Sara Grassi is often cited by papers focused on Sphingolipid Metabolism and Signaling (8 papers), Lipid Membrane Structure and Behavior (7 papers) and Cellular transport and secretion (6 papers). Sara Grassi collaborates with scholars based in Italy, Switzerland and United States. Sara Grassi's co-authors include Alessandro Prinetti, Sandro Sonnino, Simona Prioni, Laura Mauri, Massimo Aureli, Paola Giussani, Elena Chiricozzi, Pierluigi Mauri, Antonella De Palma and Dario Di Silvestre and has published in prestigious journals such as Journal of Neurochemistry, Journal of Lipid Research and Frontiers in Pharmacology.

In The Last Decade

Sara Grassi

14 papers receiving 634 citations

Author Peers

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

Author Last Decade Papers Cites
Sara Grassi 399 210 147 106 89 16 639
Sebastian Hogl 346 0.9× 302 1.4× 154 1.0× 147 1.4× 109 1.2× 14 778
Qiuyang Zheng 357 0.9× 266 1.3× 106 0.7× 74 0.7× 118 1.3× 16 746
Kazuyoshi Shinpo 231 0.6× 200 1.0× 75 0.5× 149 1.4× 114 1.3× 20 682
Daan M. van den Brink 418 1.0× 114 0.5× 106 0.7× 83 0.8× 54 0.6× 18 624
Ekaterina V. Ilieva 309 0.8× 167 0.8× 151 1.0× 267 2.5× 90 1.0× 12 659
Juliet Rashidian 469 1.2× 147 0.7× 121 0.8× 81 0.8× 129 1.4× 12 717
L. Svennerholm 353 0.9× 132 0.6× 88 0.6× 75 0.7× 132 1.5× 17 619
Maria B. Bagh 331 0.8× 242 1.2× 160 1.1× 58 0.5× 89 1.0× 20 638
Yoshihiko Nakatani 352 0.9× 155 0.7× 89 0.6× 117 1.1× 143 1.6× 30 660
Naomi Kurobe 525 1.3× 152 0.7× 102 0.7× 55 0.5× 95 1.1× 14 695

Countries citing papers authored by Sara Grassi

Since Specialization
Citations

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

Fields of papers citing papers by Sara Grassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Grassi

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