Laura Sciacovelli

4.4k citations
86 papers · 2.9k · h-index 32

Impact in

Papers in

Laura Sciacovelli

83 papers receiving 2.8k citations

Peers

Laura Sciacovelli
Comparison fields: 5 of 130
  • Statistics, Probability and Uncertainty 690
  • Family Practice 132
  • Medical Laboratory Technology 107
  • Physiology 1.4k
  • Infectious Diseases 597
Replace Andrea R. Horvath with:
Andrea R. Horvath Australia
Frederick A. Meier United States
Peter J. Howanitz United States
Andrea Padoan Italy
Janne Cadamuro Austria
Steven J. Steindel United States
Carmen Ricós Spain
Lee H. Hilborne United States
Rhona J. Souers United States
Robert C. Hawkins Singapore
Laura Sciacovelli relative to Andrea R. Horvath Australia Andrea R. Horvath's profile →
Citations per field
00.5×2.8×
Andrea R. Horvath · 1×
Citations per year

Countries citing papers authored by Laura Sciacovelli

Since Specialization
Citations

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

Fields of papers citing papers by Laura Sciacovelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Laura Sciacovelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Laura Sciacovelli Line = papers co-authored together Laura Sciacovelli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020219
2 2020204
3 2013145
4 2009115
5 2014110
6 2015104
7 2020102
8 201190
9 201686
10 201586
11 201481
12 200975
13 201774
14 202074
15 201959
16 201259
17 200956
18 201250
19 202049
20 201645

About Laura Sciacovelli

Laura Sciacovelli is a scholar working on Physiology, Statistics, Probability and Uncertainty, Infectious Diseases, Medical Laboratory Technology and Surgery, having authored 86 papers that have together received 2.9k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (45 papers), Meta-analysis and systematic reviews (19 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Quality and Safety in Healthcare (8 papers), SARS-CoV-2 detection and testing (6 papers), Hemodynamic Monitoring and Therapy (5 papers), Reliability and Agreement in Measurement (5 papers) and Health and Medical Research Impacts (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (690 citations), Family Practice (132 citations), Medical Laboratory Technology (107 citations), Physiology (1.4k citations) and Infectious Diseases (597 citations). Laura Sciacovelli has collaborated with scholars based in Italy, United Kingdom and Spain. Frequent co-authors include Mario Plebani, Andrea Padoan, Ada Aita, Maria Laura Chiozza, Chiara Cosma, Sandra Secchiero, Martina Zaninotto, Diego Faggian, Davide Negrini and Elisa Piva. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Clinica Chimica Acta, Clinical Biochemistry, Annals of Clinical Biochemistry International Journal of Laboratory Medicine and Biochemia Medica.

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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