Elisa Piva

40 total papers · 800 total citations
27 papers, 537 citations indexed

About

Elisa Piva is a scholar working on Physiology, Statistics, Probability and Uncertainty and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Elisa Piva has authored 27 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Physiology, 7 papers in Statistics, Probability and Uncertainty and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Elisa Piva's work include Clinical Laboratory Practices and Quality Control (12 papers), Meta-analysis and systematic reviews (7 papers) and Blood properties and coagulation (5 papers). Elisa Piva is often cited by papers focused on Clinical Laboratory Practices and Quality Control (12 papers), Meta-analysis and systematic reviews (7 papers) and Blood properties and coagulation (5 papers). Elisa Piva collaborates with scholars based in Italy, Croatia and United States. Elisa Piva's co-authors include Mario Plebani, Michela Pelloso, Carlo Brugnara, Laura Sciacovelli, Francesca Tosato, Andrea Padoan, Maria Laura Chiozza, Ada Aita, Giorgia Antonelli and Michael Laposata and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Medical Internet Research and Journal of Clinical Pathology.

In The Last Decade

Elisa Piva

25 papers receiving 503 citations

Author Peers

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

Author						Papers	Cites
Elisa Piva	321	134	98	79	64	27	537
Joan H. Howanitz	188 0.6×	64 0.5×	126 1.3×	89 1.1×	62 1.0×	33	619
M J Galloway	96 0.3×	47 0.4×	69 0.7×	70 0.9×	55 0.9×	38	472
Francesca Tosato	244 0.8×	102 0.8×	87 0.9×	35 0.4×	43 0.7×	36	606
Adolfo Romero Ruiz	125 0.4×	61 0.5×	51 0.5×	66 0.8×	52 0.8×	39	464
Paul Bachner	187 0.6×	101 0.8×	24 0.2×	40 0.5×	7 0.1×	27	535
M Zhi	227 0.7×	102 0.8×	16 0.2×	22 0.3×	29 0.5×	26	553
Una Ørvim Sølvik	247 0.8×	126 0.9×	17 0.2×	20 0.3×	10 0.2×	32	510
Ilenia Infusino	251 0.8×	127 0.9×	20 0.2×	151 1.9×	93 1.5×	28	580
Eberhard Gurr	172 0.5×	88 0.7×	32 0.3×	10 0.1×	10 0.2×	41	512
William J. Castellani	82 0.3×	18 0.1×	43 0.4×	54 0.7×	22 0.3×	37	512

Countries citing papers authored by Elisa Piva

Since Specialization

Citations

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

Fields of papers citing papers by Elisa Piva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisa Piva

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