Elisa Piva

643 total citations
21 papers, 387 citations indexed

About

Elisa Piva is a scholar working on Physiology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Elisa Piva has authored 21 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 6 papers in Genetics and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Elisa Piva's work include Clinical Laboratory Practices and Quality Control (10 papers), Blood properties and coagulation (4 papers) and Hemoglobinopathies and Related Disorders (3 papers). Elisa Piva is often cited by papers focused on Clinical Laboratory Practices and Quality Control (10 papers), Blood properties and coagulation (4 papers) and Hemoglobinopathies and Related Disorders (3 papers). Elisa Piva collaborates with scholars based in Italy, United States and Croatia. Elisa Piva's co-authors include Mario Plebani, Carlo Brugnara, Lino Chiandetti, Martina Zaninotto, Laura Sciacovelli, Michael Laposata, Gianpietro Semenzato, Livio Trentin, Andrea Padoan and Silvia Imbergamo and has published in prestigious journals such as Clinica Chimica Acta, Oncotarget and American Journal of Clinical Pathology.

In The Last Decade

Elisa Piva

21 papers receiving 369 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Elisa Piva Italy 10 204 99 83 73 71 21 387
Dennis W. Jay United States 10 87 0.4× 106 1.1× 62 0.7× 37 0.5× 81 1.1× 18 399
Emma English United Kingdom 13 76 0.4× 47 0.5× 7 0.1× 31 0.4× 45 0.6× 30 634
Leonard I. Boral United States 12 68 0.3× 50 0.5× 31 0.4× 19 0.3× 172 2.4× 26 403
Eberhard Gurr Germany 13 173 0.8× 10 0.1× 32 0.4× 88 1.2× 10 0.1× 41 512
Naveen Kakkar India 12 53 0.3× 86 0.9× 48 0.6× 5 0.1× 149 2.1× 69 490
Elise Schapkaitz South Africa 10 75 0.4× 67 0.7× 33 0.4× 15 0.2× 100 1.4× 52 319
Brie A. Stotler United States 11 130 0.6× 116 1.2× 38 0.5× 9 0.1× 195 2.7× 21 620
P. Ridgway Gilmer United States 4 69 0.3× 155 1.6× 120 1.4× 23 0.3× 255 3.6× 6 607
Roberto Herklotz Switzerland 5 62 0.3× 35 0.4× 63 0.8× 10 0.1× 74 1.0× 10 402
Michelle P. Zeller Canada 11 51 0.3× 82 0.8× 20 0.2× 2 0.0× 158 2.2× 44 405

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

20 of 20 papers shown
1.
Fogar, Paola, Andrea Padoan, Elisa Piva, et al.. (2022). T Cell Senescence by Extensive Phenotyping: An Emerging Feature of COVID-19 Severity. Laboratory Medicine. 53(6). 609–613. 4 indexed citations
2.
Piva, Elisa, et al.. (2022). The VES-Matic 5 system: performance of a novel instrument for measuring erythrocyte sedimentation rate. Clinical Chemistry and Laboratory Medicine (CCLM). 60(7). 1081–1090. 8 indexed citations
3.
Visentin, Andrea, Silvia Imbergamo, Valentina Trimarco, et al.. (2020). Ibrutinib in relapsed hairy cell leukemia variant: A case report and review of the literature. Hematological Oncology. 38(5). 823–826. 15 indexed citations
4.
Lapić, Ivana, Francesca Tosato, Elisa Piva, et al.. (2019). Analytical validation of the iSED automated analyzer for erythrocyte sedimentation rate. International Journal of Laboratory Hematology. 42(2). 109–115. 5 indexed citations
5.
Gurrieri, Carmela, et al.. (2019). COMPARISON OF PRESEPSIN, PROCALCITONIN, INTERLEUKIN-8 AND C-REACTIVE PROTEIN IN PREDICTING BACTERAEMIA IN FEBRILE NEUTROPENIC ADULT PATIENTS WITH HAEMATOLOGICAL MALIGNANCIES. Mediterranean Journal of Hematology and Infectious Diseases. 11(1). e2019047–e2019047. 9 indexed citations
6.
Padoan, Andrea, Martina Zaninotto, Elisa Piva, et al.. (2018). Quality of plasma samples and BD Vacutainer Barricor tubes: Effects of centrifugation. Clinica Chimica Acta. 483. 271–274. 16 indexed citations
7.
Visentin, Andrea, Silvia Imbergamo, Federica Frezzato, et al.. (2017). Bendamustine plus rituximab is an effective first-line treatment in hairy cell leukemia variant: a report of three cases. Oncotarget. 8(66). 110727–110731. 20 indexed citations
8.
Giavarina, Davide, Giuseppe Banfi, Massimo Daves, et al.. (2016). Blood collection systems in clinical laboratories: local adaptation of the EFLM guidelines. Research Padua Archive (University of Padua). 1 indexed citations
9.
Piva, Elisa. (2015). Comment on: Evaluation of erythrocyte and reticulocyte parameters as indicative of iron deficiency in patients with anemia of chronic disease. Revista Brasileira de Hematologia e Hemoterapia. 37(2). 73–76. 5 indexed citations
10.
Carraro, Paolo, et al.. (2015). Complete blood count at the ED: preanalytic variables for hemoglobin and leukocytes. The American Journal of Emergency Medicine. 33(9). 1152–1157. 4 indexed citations
11.
Schiavinato, Alvise, et al.. (2015). A case of eosinophilic disorder that evolved in acute lymphoblastyc leukemia. American Journal of Hematology. 91(1). 167–168. 1 indexed citations
12.
Lippi, Giuseppe, Marco Caputo, Giuseppe Banfi, et al.. (2011). Raccomandazioni di consenso SIBioC-SIMeL per la rilevazione e gestione dei campioni emolisati e utilizzo dell'indice di emolisi. 35(6). 481–490. 2 indexed citations
13.
Piva, Elisa, Carlo Brugnara, Lino Chiandetti, & Mario Plebani. (2010). Automated reticulocyte counting: state of the art and clinical applications in the evaluation of erythropoiesis. Clinical Chemistry and Laboratory Medicine (CCLM). 48(10). 1369–1380. 74 indexed citations
14.
Plebani, Mario & Elisa Piva. (2010). Notification of critical values. Biochemia Medica. 173–178. 5 indexed citations
15.
Piva, Elisa, Laura Sciacovelli, Martina Zaninotto, Michael Laposata, & Mario Plebani. (2009). Evaluation of Effectiveness of a Computerized Notification System for Reporting Critical Values. American Journal of Clinical Pathology. 131(3). 432–441. 70 indexed citations
16.
Piva, Elisa & Mario Plebani. (2009). Interpretative reports and critical values. Clinica Chimica Acta. 404(1). 52–58. 40 indexed citations
17.
Piva, Elisa, et al.. (2002). Determination of the Length of Sedimentation Reaction (Erythrocyte Sedimentation Rate) in Non-Anticoagulated Blood with the Microtest 1. Clinical Chemistry and Laboratory Medicine (CCLM). 40(7). 713–7. 10 indexed citations
18.
Plebani, Mario, Elisa Piva, & M. Sanzari. (1999). The Authors’ Reply. American Journal of Clinical Pathology. 112(5). 723–724. 1 indexed citations
19.
Piva, Elisa, et al.. (1996). Reply. Acta Haematologica. 96(4). 265–265. 1 indexed citations
20.
Pietrogrande, Francesco, et al.. (1989). Changes in the Mitogenic Activity of Platelet-Derived Growth Factor(s) in Patients with Myeloproliferative Disease. Acta Haematologica. 81(3). 131–135. 13 indexed citations

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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