Silvia Deidda

23 total papers · 462 total citations
8 papers, 115 citations indexed

About

Silvia Deidda is a scholar working on Rheumatology, Surgery and Molecular Biology. According to data from OpenAlex, Silvia Deidda has authored 8 papers receiving a total of 115 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Rheumatology, 1 paper in Surgery and 1 paper in Molecular Biology. Recurrent topics in Silvia Deidda's work include Urticaria and Related Conditions (1 paper), Hemostasis and retained surgical items (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). Silvia Deidda is often cited by papers focused on Urticaria and Related Conditions (1 paper), Hemostasis and retained surgical items (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). Silvia Deidda collaborates with scholars based in Italy and United Kingdom. Silvia Deidda's co-authors include Giuseppe Delitala, Lucia Gemma Delogu, Roberto Manetti, E Bruschi, Andrea Piana, Oscar Massimiliano Epis, Luca Giacomelli, Clementina Cocuzza, Giovanni Sotgiu and E Muresu and has published in prestigious journals such as PLoS ONE, Lara D. Veeken and Autoimmunity Reviews.

In The Last Decade

Silvia Deidda

8 papers receiving 113 citations

Author Peers

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

Author						Papers	Cites
Silvia Deidda	33	32	28	18	16	8	115
André Gessner	28 0.8×	134 4.2×	16 0.6×	21 1.2×	5 0.3×	5	224
Magdalena Kraft	16 0.5×	80 2.5×	20 0.7×	22 1.2×	12 0.8×	14	215
Kerstin Dürholz	27 0.8×	30 0.9×	27 1.0×	80 4.4×	7 0.4×	10	166
Thomas J Hopkins	23 0.7×	165 5.2×	18 0.6×	29 1.6×	12 0.8×	6	227
Dario Lipari	66 2.0×	15 0.5×	15 0.5×	51 2.8×	8 0.5×	9	255
Hallie Carol	12 0.4×	45 1.4×	15 0.5×	63 3.5×	6 0.4×	9	169
Francesca Maria Gaiani	27 0.8×	24 0.8×	23 0.8×	15 0.8×	29 1.8×	13	152
Mathieu Fusaro	26 0.8×	86 2.7×	9 0.3×	36 2.0×	16 1.0×	13	219
Rémi Pescarmona	17 0.5×	56 1.8×	25 0.9×	29 1.6×	8 0.5×	11	138
Arina Lazareva	26 0.8×	27 0.8×	14 0.5×	18 1.0×	5 0.3×	10	108

Countries citing papers authored by Silvia Deidda

Since Specialization

Citations

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

Fields of papers citing papers by Silvia Deidda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Deidda

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