Valeria D’Alessio

39 total papers · 583 total citations
29 papers, 450 citations indexed

About

Valeria D’Alessio is a scholar working on Biotechnology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Valeria D’Alessio has authored 29 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biotechnology, 12 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Oncology. Recurrent topics in Valeria D’Alessio's work include Microbial Inactivation Methods (12 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and Radiopharmaceutical Chemistry and Applications (6 papers). Valeria D’Alessio is often cited by papers focused on Microbial Inactivation Methods (12 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and Radiopharmaceutical Chemistry and Applications (6 papers). Valeria D’Alessio collaborates with scholars based in Italy, Switzerland and Slovakia. Valeria D’Alessio's co-authors include Rita De Santis, Fiorella Petronzelli, Anna Maria Anastasi, Roberta Fusco, Olga Minenkova, Emiliano Pavoni, Giovanni Paganelli, Barbara Leoni, Vincenza Granata and Paolo Carminati and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Cancer Research.

In The Last Decade

Valeria D’Alessio

29 papers receiving 434 citations

Author Peers

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

Author						Papers	Cites
Valeria D’Alessio	177	137	132	100	92	29	450
Amanda McWatters	91 0.5×	221 1.6×	191 1.4×	74 0.7×	112 1.2×	27	538
Katelyn E. McCabe	178 1.0×	176 1.3×	148 1.1×	32 0.3×	55 0.6×	17	434
Naoji Umemoto	198 1.1×	217 1.6×	103 0.8×	87 0.9×	164 1.8×	18	524
Antonella Grigoletto	90 0.5×	196 1.4×	78 0.6×	37 0.4×	60 0.7×	31	409
Dmitrij Hristodorov	196 1.1×	238 1.7×	99 0.8×	76 0.8×	225 2.4×	21	449
Keith O. Webber	276 1.6×	254 1.9×	78 0.6×	67 0.7×	116 1.3×	21	484
Rune Nilsson	357 2.0×	152 1.1×	101 0.8×	21 0.2×	74 0.8×	46	478
Gregory J. Duigou	73 0.4×	279 2.0×	162 1.2×	21 0.2×	142 1.5×	22	528
Qiming Chen	92 0.5×	191 1.4×	79 0.6×	19 0.2×	81 0.9×	31	432
Igor Moskalev	42 0.2×	180 1.3×	165 1.3×	46 0.5×	77 0.8×	29	475

Countries citing papers authored by Valeria D’Alessio

Since Specialization

Citations

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

Fields of papers citing papers by Valeria D’Alessio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valeria D’Alessio

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