Saula Ravasi

24 total papers · 687 total citations
16 papers, 583 citations indexed

About

Saula Ravasi is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Saula Ravasi has authored 16 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Physiology and 5 papers in Immunology. Recurrent topics in Saula Ravasi's work include Asthma and respiratory diseases (6 papers), Receptor Mechanisms and Signaling (6 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). Saula Ravasi is often cited by papers focused on Asthma and respiratory diseases (6 papers), Receptor Mechanisms and Signaling (6 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). Saula Ravasi collaborates with scholars based in Italy, United States and France. Saula Ravasi's co-authors include G. Enrico Rovati, Valérie Capra, Karsten Gronert, Nan Chiang, Charles N. Serhan, Simona Citro, S. Nicosia, Maria Rosa Accomazzo, Barbara Viviani and Marco Parenti and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Journal of Cell Science and American Journal Of Pathology.

In The Last Decade

Saula Ravasi

15 papers receiving 572 citations

Author Peers

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

Author						Papers	Cites
Saula Ravasi	270	210	125	114	93	16	583
Haruka Aoki	177 0.7×	203 1.0×	130 1.0×	53 0.5×	31 0.3×	23	576
Mei Nie	163 0.6×	339 1.6×	129 1.0×	46 0.4×	99 1.1×	13	687
Mohammed Al‐Hassani	127 0.5×	184 0.9×	110 0.9×	91 0.8×	41 0.4×	20	554
Li‐Yuan Chen	125 0.5×	280 1.3×	237 1.9×	87 0.8×	35 0.4×	15	636
Faisal Ali	186 0.7×	281 1.3×	110 0.9×	61 0.5×	34 0.4×	17	601
David Kalant	226 0.8×	208 1.0×	200 1.6×	112 1.0×	41 0.4×	15	696
Cheng-Po Sung	114 0.4×	159 0.8×	120 1.0×	76 0.7×	26 0.3×	14	546
M A Giembycz	297 1.1×	254 1.2×	126 1.0×	32 0.3×	127 1.4×	14	627
Shoichiro Takata	139 0.5×	316 1.5×	69 0.6×	62 0.5×	23 0.2×	21	607
T Harris	232 0.9×	147 0.7×	155 1.2×	42 0.4×	24 0.3×	23	511

Countries citing papers authored by Saula Ravasi

Since Specialization

Citations

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

Fields of papers citing papers by Saula Ravasi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saula Ravasi

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