Silvia Carra

47 total papers · 878 total citations
32 papers, 528 citations indexed

About

Silvia Carra is a scholar working on Molecular Biology, Neurology and Oncology. According to data from OpenAlex, Silvia Carra has authored 32 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Neurology and 10 papers in Oncology. Recurrent topics in Silvia Carra's work include Neuroendocrine Tumor Research Advances (10 papers), Neuroblastoma Research and Treatments (9 papers) and Zebrafish Biomedical Research Applications (7 papers). Silvia Carra is often cited by papers focused on Neuroendocrine Tumor Research Advances (10 papers), Neuroblastoma Research and Treatments (9 papers) and Zebrafish Biomedical Research Applications (7 papers). Silvia Carra collaborates with scholars based in Italy, United States and Netherlands. Silvia Carra's co-authors include Franco Cotelli, Germano Gaudenzi, Luca Persani, Giovanni Vitale, Mônica Beltrame, Erica Bresciani, Federica Marelli, Sandra Donnini, Antonio Giachetti and Raffaella Solito and has published in prestigious journals such as Nucleic Acids Research, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Silvia Carra

31 papers receiving 527 citations

Author Peers

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

Author						Papers	Cites
Silvia Carra	224	113	88	82	80	32	528
Serena Bodei	180 0.8×	61 0.5×	107 1.2×	122 1.5×	72 0.9×	18	477
Silvia Casagrande	262 1.2×	158 1.4×	44 0.5×	62 0.8×	46 0.6×	27	589
Elena Panzeri	224 1.0×	47 0.4×	46 0.5×	116 1.4×	41 0.5×	32	581
Chengshi Xu	222 1.0×	59 0.5×	93 1.1×	16 0.2×	46 0.6×	35	612
Geetha Anand	303 1.4×	47 0.4×	98 1.1×	39 0.5×	33 0.4×	34	564
Annalisa Nicotra	168 0.8×	35 0.3×	77 0.9×	43 0.5×	22 0.3×	21	489
Jeffrey W. Hofmann	327 1.5×	80 0.7×	29 0.3×	36 0.4×	39 0.5×	24	608
Tatsuya Uebi	309 1.4×	42 0.4×	21 0.2×	56 0.7×	55 0.7×	23	539
José Terrado	262 1.2×	33 0.3×	44 0.5×	63 0.8×	24 0.3×	33	582
Marcos Barbosa	187 0.8×	41 0.4×	167 1.9×	83 1.0×	38 0.5×	25	590

Countries citing papers authored by Silvia Carra

Since Specialization

Citations

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

Fields of papers citing papers by Silvia Carra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Carra

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