Silvia Pipitone

499 total citations
21 papers, 279 citations indexed

About

Silvia Pipitone is a scholar working on Physiology, Hematology and Statistics, Probability and Uncertainty. According to data from OpenAlex, Silvia Pipitone has authored 21 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 6 papers in Hematology and 5 papers in Statistics, Probability and Uncertainty. Recurrent topics in Silvia Pipitone's work include Clinical Laboratory Practices and Quality Control (11 papers), Blood groups and transfusion (5 papers) and Digital Imaging for Blood Diseases (3 papers). Silvia Pipitone is often cited by papers focused on Clinical Laboratory Practices and Quality Control (11 papers), Blood groups and transfusion (5 papers) and Digital Imaging for Blood Diseases (3 papers). Silvia Pipitone collaborates with scholars based in Italy, Australia and Czechia. Silvia Pipitone's co-authors include Giuseppe Lippi, Rosalia Aloe, Paola Avanzini, Ramli Musa, Carlo Ferrari, Emmanuel J. Favaloro, Dorothy M. Funk, Luigi Ippolito, Rossana Rossi and G. Elia and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Clinical Pathology and Clinica Chimica Acta.

In The Last Decade

Silvia Pipitone

21 papers receiving 271 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Silvia Pipitone Italy 9 113 89 61 53 51 21 279
Ivana Ćelap Croatia 10 113 1.0× 48 0.5× 38 0.6× 46 0.9× 24 0.5× 39 352
P. W. BARNES United States 7 188 1.7× 21 0.2× 41 0.7× 48 0.9× 66 1.3× 11 498
Elisa Piva Italy 10 204 1.8× 25 0.3× 83 1.4× 31 0.6× 71 1.4× 21 387
Anne Sophie Bargnoux France 9 67 0.6× 35 0.4× 15 0.2× 56 1.1× 30 0.6× 20 276
Omid Fatemi United States 8 21 0.2× 107 1.2× 44 0.7× 93 1.8× 12 0.2× 13 409
Marta Strollo Italy 8 65 0.6× 41 0.5× 13 0.2× 23 0.4× 20 0.4× 10 382
Xing‐hui Shao China 12 32 0.3× 35 0.4× 45 0.7× 63 1.2× 7 0.1× 54 480
Leonard I. Boral United States 12 68 0.6× 10 0.1× 31 0.5× 57 1.1× 172 3.4× 26 403
Roberto Herklotz Switzerland 5 62 0.5× 8 0.1× 63 1.0× 26 0.5× 74 1.5× 10 402
Ji Suk Han South Korea 8 12 0.1× 137 1.5× 45 0.7× 122 2.3× 32 0.6× 14 381

Countries citing papers authored by Silvia Pipitone

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Pipitone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Pipitone

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Pipitone. A scholar is included among the top collaborators of Silvia Pipitone 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 Silvia Pipitone. Silvia Pipitone 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.
Rin, Giorgio Da, Andrea Padoan, Francesco Dima, et al.. (2022). Multicentric evaluation of the variability of digital morphology performances also respect to the reference methods by optical microscopy. International Journal of Laboratory Hematology. 44(6). 1040–1049. 4 indexed citations
2.
Rin, Giorgio Da, Francesco Dima, Alessandra Fanelli, et al.. (2020). Multicentric evaluation of analytical performances digital morphology with respect to the reference methods by manual optical microscopy. Journal of Clinical Pathology. 74(6). 377–385. 5 indexed citations
3.
4.
Pipitone, Silvia, Luca Germagnoli, Giorgio Da Rin, et al.. (2017). Comparing the performance of three panels rules of blood smear review criteria on an Italian multicenter evaluation. International Journal of Laboratory Hematology. 39(6). 645–652. 8 indexed citations
5.
Picanza, Alessandra, et al.. (2015). Spurious hyperglycaemia impairs automated leucocyte counting. A pilot study with two different haematological analysers.. PubMed. 13(4). 656–61. 1 indexed citations
6.
Lippi, Giuseppe, et al.. (2014). Evaluation of mean platelet volume with four hematological analyzers. Blood Coagulation & Fibrinolysis. 26(2). 235–237. 33 indexed citations
7.
Lippi, Giuseppe, et al.. (2014). Lack of harmonization of red blood cell distribution width (RDW). Evaluation of four hematological analyzers. Clinical Biochemistry. 47(12). 1100–1103. 75 indexed citations
8.
Lippi, Giuseppe, et al.. (2014). What Do Hemolyzed Whole-Blood Specimens Look Like? Analysis with a CellaVision DM96 Automated Image Analysis System. SLAS TECHNOLOGY. 20(1). 60–63. 7 indexed citations
9.
Lippi, Giuseppe, et al.. (2014). Development of simple equations for effective screening of spurious hemolysis in whole‐blood specimens. International Journal of Laboratory Hematology. 37(2). 253–258. 6 indexed citations
10.
Lippi, Giuseppe, et al.. (2013). Evaluation of the Fully Automated Hematological Analyzer Sysmex XE-5000 for Flow Cytometric Analysis of Peritoneal Fluid. SLAS TECHNOLOGY. 18(3). 240–244. 12 indexed citations
11.
Lippi, Giuseppe, Silvia Pipitone, G. Elia, et al.. (2013). Assessment of neutrophil gelatinase-associated lipocalin and lactate dehydrogenase in peritoneal fluids for the screening of bacterial peritonitis. Clinica Chimica Acta. 418. 59–62. 18 indexed citations
12.
Lippi, Giuseppe, et al.. (2013). Anemia and Anysocytosis in the Emergency Department: A Cross-Sectional Investigation. Journal of Medical Biochemistry. 32(2). 104–108. 2 indexed citations
13.
Rossi, Rossana, Luigi Ippolito, Silvia Pipitone, et al.. (2013). Influence of Residual Platelet Count on Routine Coagulation, Factor VIII, and Factor IX Testing in Postfreeze-Thaw Samples. Seminars in Thrombosis and Hemostasis. 39(7). 834–839. 25 indexed citations
14.
Lippi, Giuseppe, Paola Avanzini, Carlo Calzetti, et al.. (2013). The Role of Neutrophil Gelatinase-Associated Lipocalin (NGAL) in Cerebrospinal Fluids for Screening of Acute Bacterial Meningitis. Clinical Laboratory. 60(03/2014). 377–81. 10 indexed citations
15.
Lippi, Giuseppe, et al.. (2012). Evaluation of white blood cell count in peritoneal fluid with five different hemocytometers. Clinical Biochemistry. 46(1-2). 173–176. 16 indexed citations
16.
Lippi, Giuseppe, et al.. (2012). Influence of in vitro hemolysis on nucleated red blood cells and reticulocyte counts. International Journal of Laboratory Hematology. 35(2). 225–228. 5 indexed citations
17.
Lippi, Giuseppe, et al.. (2012). Identification of Spurious Hemolysis in Anticoagulated Blood with Sysmex XE-2100 and Siemens Advia 2120. Clinical Laboratory. 59(01+02/2013). 801–4. 7 indexed citations
18.
Lippi, Giuseppe, et al.. (2012). Diagnostic significance of haematological testing in patients presenting at the Emergency Department. SHILAP Revista de lepidopterología. 8(1). 7–7. 1 indexed citations
19.
Lippi, Giuseppe, et al.. (2011). Influence of temperature and period of freezing on the generation of hemolysate and blood cell lysate. Clinical Biochemistry. 44(14-15). 1267–1269. 11 indexed citations
20.
Lippi, Giuseppe, et al.. (2011). Influence of in vitro hemolysis on hematological testing on Advia 2120. International Journal of Laboratory Hematology. 34(2). 179–184. 27 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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