Pasqualina D’Ursi

53 total papers · 833 total citations
41 papers, 618 citations indexed

About

Pasqualina D’Ursi is a scholar working on Molecular Biology, Pharmacology and Virology. According to data from OpenAlex, Pasqualina D’Ursi has authored 41 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 5 papers in Pharmacology and 5 papers in Virology. Recurrent topics in Pasqualina D’Ursi's work include HIV Research and Treatment (5 papers), Cystic Fibrosis Research Advances (5 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Pasqualina D’Ursi is often cited by papers focused on HIV Research and Treatment (5 papers), Cystic Fibrosis Research Advances (5 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Pasqualina D’Ursi collaborates with scholars based in Italy, United States and United Kingdom. Pasqualina D’Ursi's co-authors include Luciano Milanesi, Alessandro Orro, Paola Fossa, Ermanna Rovida, Patrizia Di Gennaro, Elena Cichero, Marco Rusnati, Jessica Zampolli, Alessandra Di Canito and Martina Cappelletti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Pasqualina D’Ursi

41 papers receiving 614 citations

Author Peers

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

Author						Papers	Cites
Pasqualina D’Ursi	366	68	62	61	42	41	618
János Aradi	390 1.1×	14 0.2×	30 0.5×	69 1.1×	29 0.7×	41	641
María Linares	238 0.7×	22 0.3×	25 0.4×	30 0.5×	11 0.3×	35	626
Hamid Ali	183 0.5×	15 0.2×	110 1.8×	42 0.7×	25 0.6×	49	585
Sayed K. Goda	325 0.9×	54 0.8×	61 1.0×	24 0.4×	58 1.4×	28	610
Edwin M. Uyeki	235 0.6×	30 0.4×	24 0.4×	22 0.4×	48 1.1×	64	589
Adam Johnson	313 0.9×	14 0.2×	58 0.9×	56 0.9×	11 0.3×	30	654
Xiaoying He	416 1.1×	50 0.7×	65 1.0×	8 0.1×	97 2.3×	31	660
Irene Cherni	265 0.7×	21 0.3×	29 0.5×	97 1.6×	20 0.5×	25	512
Hailong Li	214 0.6×	63 0.9×	10 0.2×	20 0.3×	11 0.3×	46	690
K.L. Yielding	340 0.9×	19 0.3×	22 0.4×	28 0.5×	54 1.3×	36	590

Countries citing papers authored by Pasqualina D’Ursi

Since Specialization

Citations

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

Fields of papers citing papers by Pasqualina D’Ursi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pasqualina D’Ursi

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