Maddalena Miccio

8 total papers · 450 total citations
5 papers, 323 citations indexed

About

Maddalena Miccio is a scholar working on Pediatrics, Perinatology and Child Health, Epidemiology and Infectious Diseases. According to data from OpenAlex, Maddalena Miccio has authored 5 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pediatrics, Perinatology and Child Health, 2 papers in Epidemiology and 1 paper in Infectious Diseases. Recurrent topics in Maddalena Miccio's work include Acute Ischemic Stroke Management (2 papers), Biomedical Text Mining and Ontologies (1 paper) and Genetics, Bioinformatics, and Biomedical Research (1 paper). Maddalena Miccio is often cited by papers focused on Acute Ischemic Stroke Management (2 papers), Biomedical Text Mining and Ontologies (1 paper) and Genetics, Bioinformatics, and Biomedical Research (1 paper). Maddalena Miccio collaborates with scholars based in Italy, United Kingdom and Ethiopia. Maddalena Miccio's co-authors include Paolo Prandoni, Enrico Pogliani, Fernando Porro, Walter Ageno, Davide Imberti, Pietro Zonzin, Cecilia Becattini, Giancarlo Agnelli, Maria Rita Taliani and Mauro Silingardi and has published in prestigious journals such as Annals of Internal Medicine, Stroke and Biochimica et Biophysica Acta (BBA) - Biomembranes.

In The Last Decade

Maddalena Miccio

4 papers receiving 309 citations

Author Peers

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

Author						Papers	Cites
Maddalena Miccio	276	242	103	78	24	5	323
Esmeralda Filippucci	281 1.0×	225 0.9×	122 1.2×	95 1.2×	18 0.8×	12	364
G Palareti	186 0.7×	149 0.6×	125 1.2×	54 0.7×	13 0.5×	10	327
K Myers	283 1.0×	198 0.8×	49 0.5×	131 1.7×	22 0.9×	6	352
Roger R. Lewis	175 0.6×	96 0.4×	33 0.3×	76 1.0×	57 2.4×	7	318
L M Tsai	92 0.3×	257 1.1×	29 0.3×	38 0.5×	16 0.7×	8	325
Riccardo Pistelli	305 1.1×	186 0.8×	59 0.6×	104 1.3×	24 1.0×	10	337
T. Poli	244 0.9×	198 0.8×	99 1.0×	97 1.2×	9 0.4×	10	284
J.‐C. Todd	133 0.5×	110 0.5×	103 1.0×	28 0.4×	31 1.3×	6	361
Samuel Joffe	162 0.6×	211 0.9×	37 0.4×	79 1.0×	37 1.5×	11	320
Anne Marie Clement	211 0.8×	118 0.5×	95 0.9×	52 0.7×	19 0.8×	9	278

Countries citing papers authored by Maddalena Miccio

Since Specialization

Citations

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

Fields of papers citing papers by Maddalena Miccio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maddalena Miccio

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