Fabiana Cacace

26 total papers · 622 total citations
11 papers, 214 citations indexed

About

Fabiana Cacace is a scholar working on Hematology, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Fabiana Cacace has authored 11 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hematology, 3 papers in Pathology and Forensic Medicine and 3 papers in Immunology. Recurrent topics in Fabiana Cacace's work include Hematopoietic Stem Cell Transplantation (4 papers), Platelet Disorders and Treatments (4 papers) and Blood groups and transfusion (3 papers). Fabiana Cacace is often cited by papers focused on Hematopoietic Stem Cell Transplantation (4 papers), Platelet Disorders and Treatments (4 papers) and Blood groups and transfusion (3 papers). Fabiana Cacace collaborates with scholars based in Italy, United States and Brazil. Fabiana Cacace's co-authors include Antonio M. Risitano, Camilla Frieri, Serena Marotta, Luana Marano, Phillip Scheinberg, Austin Kulasekararaj, Rosario Notaro, Rodrigo T. Calado, Michela Sica and Patrizia Ricci and has published in prestigious journals such as Blood, Frontiers in Immunology and Pharmaceutics.

In The Last Decade

Fabiana Cacace

7 papers receiving 210 citations

Author Peers

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

Author						Papers	Cites
Fabiana Cacace	146	117	86	67	33	11	214
Viviani Pessôa	222 1.5×	115 1.0×	133 1.5×	113 1.7×	51 1.5×	8	309
Luana Marano	231 1.6×	160 1.4×	135 1.6×	92 1.4×	46 1.4×	14	323
Nobuaki Takagi	222 1.5×	123 1.1×	191 2.2×	30 0.4×	38 1.2×	10	295
Valentina Portalupi	117 0.8×	46 0.4×	93 1.1×	78 1.2×	14 0.4×	12	252
Deanna Duvall	266 1.8×	169 1.4×	140 1.6×	81 1.2×	26 0.8×	9	311
Laurence Simon	96 0.7×	60 0.5×	58 0.7×	111 1.7×	9 0.3×	9	216
An‐Sofie Schelpe	153 1.0×	90 0.8×	56 0.7×	90 1.3×	7 0.2×	10	196
Tanya Cranfield	97 0.7×	89 0.8×	48 0.6×	43 0.6×	4 0.1×	12	153
Reem Raafat	186 1.3×	108 0.9×	190 2.2×	39 0.6×	18 0.5×	8	307
Mélanie Néel	128 0.9×	35 0.3×	63 0.7×	24 0.4×	10 0.3×	11	221

Countries citing papers authored by Fabiana Cacace

Since Specialization

Citations

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

Fields of papers citing papers by Fabiana Cacace

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabiana Cacace

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