Silvia Grancara

31 total papers · 727 total citations
22 papers, 613 citations indexed

About

Silvia Grancara is a scholar working on Molecular Biology, Biochemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Silvia Grancara has authored 22 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Biochemistry and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Silvia Grancara's work include Polyamine Metabolism and Applications (9 papers), Amino Acid Enzymes and Metabolism (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). Silvia Grancara is often cited by papers focused on Polyamine Metabolism and Applications (9 papers), Amino Acid Enzymes and Metabolism (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). Silvia Grancara collaborates with scholars based in Italy, Czechia and United States. Silvia Grancara's co-authors include Antonio Toninello, Enzo Agostinelli, Valentina Battaglia, G. Tempera, Nikenza Viceconte, Rita Calheiros, Francisco Gil, M. Paula M. Marques, Lisa Dalla Via and Aída Nelly García‐Argáez and has published in prestigious journals such as Free Radical Biology and Medicine, Journal of Medicinal Chemistry and Sensors and Actuators B Chemical.

In The Last Decade

Silvia Grancara

22 papers receiving 604 citations

Author Peers

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

Author Last Decade Papers Cites
Silvia Grancara 415 106 71 67 63 22 613
Seiji Okazaki 342 0.8× 88 0.8× 37 0.5× 75 1.1× 44 0.7× 35 601
Robert E. Plapinger 326 0.8× 41 0.4× 67 0.9× 147 2.2× 49 0.8× 28 688
Alfred. Burger 345 0.8× 46 0.4× 38 0.5× 80 1.2× 93 1.5× 12 635
Wenhui Zhou 370 0.9× 38 0.4× 36 0.5× 54 0.8× 68 1.1× 38 638
Beatriz M. Braganca 350 0.8× 60 0.6× 111 1.6× 34 0.5× 59 0.9× 32 613
Tomokazu Ueki 306 0.7× 139 1.3× 73 1.0× 139 2.1× 46 0.7× 23 659
Catia Cornacchia 233 0.6× 129 1.2× 100 1.4× 125 1.9× 57 0.9× 17 576
Karl G. Brandt 461 1.1× 114 1.1× 33 0.5× 87 1.3× 34 0.5× 21 674
G. Rajasekhar Reddy 155 0.4× 61 0.6× 90 1.3× 45 0.7× 37 0.6× 28 653
N.A. Aldanova 550 1.3× 126 1.2× 41 0.6× 50 0.7× 25 0.4× 15 695

Countries citing papers authored by Silvia Grancara

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Grancara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Grancara

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Grancara. A scholar is included among the top collaborators of Silvia Grancara 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 Silvia Grancara. Silvia Grancara 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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2026