Paolo Lova

16 total papers · 763 total citations
13 papers, 630 citations indexed

About

Paolo Lova is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Paolo Lova has authored 13 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hematology, 4 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Paolo Lova's work include Platelet Disorders and Treatments (11 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers). Paolo Lova is often cited by papers focused on Platelet Disorders and Treatments (11 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers). Paolo Lova collaborates with scholars based in Italy. Paolo Lova's co-authors include Cesare Balduini, Fabiola Sinigaglia, Mauro Torti, Mauro Torti, Ilaria Canobbio, Alessandra Bertoni, Emilio Hirsch, Alessandra Balduini, Alessandro Pecci and Isabella Pallotta and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Experimental Cell Research.

In The Last Decade

Paolo Lova

13 papers receiving 623 citations

Author Peers

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

Author						Papers	Cites
Paolo Lova	396	159	141	97	84	13	630
Ban B. Dawood	392 1.0×	153 1.0×	164 1.2×	33 0.3×	91 1.1×	15	706
Karen Gilio	469 1.2×	198 1.2×	183 1.3×	100 1.0×	104 1.2×	11	730
Christelle Nonne	396 1.0×	198 1.2×	117 0.8×	98 1.0×	63 0.8×	12	619
Tom G. Mastenbroek	427 1.1×	176 1.1×	145 1.0×	46 0.5×	52 0.6×	13	756
White Jg	385 1.0×	89 0.6×	98 0.7×	59 0.6×	46 0.5×	17	653
R. Sartorio	200 0.5×	111 0.7×	151 1.1×	59 0.6×	27 0.3×	13	618
Marion T.J. van den Bosch	299 0.8×	128 0.8×	244 1.7×	74 0.8×	57 0.7×	15	658
Mathieu Schaff	347 0.9×	213 1.3×	110 0.8×	89 0.9×	25 0.3×	11	656
Gabriella Benetton	205 0.5×	123 0.8×	207 1.5×	36 0.4×	89 1.1×	13	592
Sascha C. Hughan	557 1.4×	187 1.2×	136 1.0×	209 2.2×	39 0.5×	11	747

Countries citing papers authored by Paolo Lova

Since Specialization

Citations

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

Fields of papers citing papers by Paolo Lova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Lova

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