Federica Ferrero

43 total papers · 708 total citations
23 papers, 395 citations indexed

About

Federica Ferrero is a scholar working on Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Federica Ferrero has authored 23 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 6 papers in Pediatrics, Perinatology and Child Health and 5 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Federica Ferrero's work include Neonatal Respiratory Health Research (9 papers), Neuroscience of respiration and sleep (5 papers) and Anesthesia and Sedative Agents (4 papers). Federica Ferrero is often cited by papers focused on Neonatal Respiratory Health Research (9 papers), Neuroscience of respiration and sleep (5 papers) and Anesthesia and Sedative Agents (4 papers). Federica Ferrero collaborates with scholars based in Italy, United States and Venezuela. Federica Ferrero's co-authors include Gianni Bona, Giuseppe A. Marraro, Luca Tortorolo, Marco Luchetti, Jianlong Lou, Angela Amigoni, Daniel T.S. Pak, Roberto Marzari, Vittorio Verzillo and Daniele Sblattero and has published in prestigious journals such as SHILAP Revista de lepidopterología, PEDIATRICS and Journal of Virology.

In The Last Decade

Federica Ferrero

23 papers receiving 382 citations

Author Peers

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

Author						Papers	Cites
Federica Ferrero	162	75	73	69	67	23	395
M. M. Willis	132 0.8×	28 0.4×	46 0.6×	151 2.2×	61 0.9×	18	431
Yoshinobu Tomiyama	37 0.2×	81 1.1×	31 0.4×	59 0.9×	18 0.3×	27	367
Salvatore R. Goodwin	113 0.7×	22 0.3×	21 0.3×	57 0.8×	36 0.5×	28	369
Babu P. Mathew	85 0.5×	70 0.9×	22 0.3×	23 0.3×	27 0.4×	29	336
T. Deloof	73 0.5×	21 0.3×	114 1.6×	180 2.6×	30 0.4×	25	444
Ayşe Heves Karagöz	62 0.4×	23 0.3×	64 0.9×	168 2.4×	43 0.6×	33	425
Isabelle Grandvuillemin	97 0.6×	38 0.5×	25 0.3×	27 0.4×	219 3.3×	17	332
Alexander Papangelou	54 0.3×	30 0.4×	48 0.7×	37 0.5×	16 0.2×	22	413
Lisa B. Mahoney	70 0.4×	35 0.5×	52 0.7×	106 1.5×	15 0.2×	25	338
Kai Kaufmann	116 0.7×	56 0.7×	66 0.9×	52 0.8×	11 0.2×	20	387

Countries citing papers authored by Federica Ferrero

Since Specialization

Citations

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

Fields of papers citing papers by Federica Ferrero

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federica Ferrero

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