Fiorella D’Auria

127 total papers · 1.3k total citations
40 papers, 665 citations indexed

About

Fiorella D’Auria is a scholar working on Genetics, Hematology and Pathology and Forensic Medicine. According to data from OpenAlex, Fiorella D’Auria has authored 40 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 19 papers in Hematology and 15 papers in Pathology and Forensic Medicine. Recurrent topics in Fiorella D’Auria's work include Chronic Lymphocytic Leukemia Research (19 papers), Lymphoma Diagnosis and Treatment (14 papers) and Multiple Myeloma Research and Treatments (12 papers). Fiorella D’Auria is often cited by papers focused on Chronic Lymphocytic Leukemia Research (19 papers), Lymphoma Diagnosis and Treatment (14 papers) and Multiple Myeloma Research and Treatments (12 papers). Fiorella D’Auria collaborates with scholars based in Italy, United States and Japan. Fiorella D’Auria's co-authors include Pellegrino Musto, Giovanni D’Arena, Giuseppe Pietrantuono, Vittorio Simeon, Giovanna Mansueto, Francesco La Rocca, Teodora Statuto, Ilaria Laurenzana, Luigi Del Vecchio and Oreste Villani and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Scientific Reports.

In The Last Decade

Fiorella D’Auria

36 papers receiving 656 citations

Author Peers

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

Author						Papers	Cites
Fiorella D’Auria	274	265	218	173	159	40	665
Rocío Benito	253 0.9×	294 1.1×	285 1.3×	128 0.7×	126 0.8×	59	739
Maher Albitar	305 1.1×	321 1.2×	287 1.3×	214 1.2×	126 0.8×	48	781
Silvia Martinelli	186 0.7×	228 0.9×	369 1.7×	117 0.7×	220 1.4×	27	629
Shihui Ma	288 1.1×	215 0.8×	99 0.5×	90 0.5×	197 1.2×	33	623
Sylwia Chocholska	138 0.5×	220 0.8×	238 1.1×	219 1.3×	231 1.5×	54	689
Yoko Okitsu	186 0.7×	319 1.2×	109 0.5×	198 1.1×	95 0.6×	49	645
Gaetano Vitelli	130 0.5×	307 1.2×	296 1.4×	186 1.1×	154 1.0×	28	670
Milena Pantić	180 0.7×	364 1.4×	223 1.0×	107 0.6×	154 1.0×	34	710
Marisa Pautasso	261 1.0×	264 1.0×	187 0.9×	100 0.6×	61 0.4×	35	583
Amitava Sengupta	236 0.9×	458 1.7×	102 0.5×	115 0.7×	103 0.6×	37	716

Countries citing papers authored by Fiorella D’Auria

Since Specialization

Citations

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

Fields of papers citing papers by Fiorella D’Auria

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fiorella D’Auria. 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 Fiorella D’Auria. The network helps show where Fiorella D’Auria may publish in the future.

Co-authorship network of co-authors of Fiorella D’Auria

This figure shows the co-authorship network connecting the top 25 collaborators of Fiorella D’Auria. A scholar is included among the top collaborators of Fiorella D’Auria 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 Fiorella D’Auria. Fiorella D’Auria 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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