Laura Sciacovelli

83 papers receiving 2.7k citations

Peers

Laura Sciacovelli
Comparison fields: 5 of 139
  • Statistics, Probability and Uncertainty 1.0k
  • Medical Laboratory Technology 142
  • Family Practice 184
  • Physiology 1.5k
  • Infectious Diseases 671
Replace Andrea Padoan with:
Andrea Padoan Italy
Frederick A. Meier United States
Peter J. Howanitz United States
Molly K. Walsh United States
Janne Cadamuro Austria
Steven J. Steindel United States
Pierangelo Bonini Italy
Wytze P. Oosterhuis Netherlands
Carmen Ricós Spain
Rhona J. Souers United States
Laura Sciacovelli relative to Andrea Padoan Italy Andrea Padoan's profile →
Citations per field
00.5×3.2×
Andrea Padoan · 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 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020215
2 2020201
3 2013140
4 2009112
5 2014105
6 2020101
7 2015100
8 201190
9 201683
10 201581
11 201478
12 202073
13 201773
14 200970
15 200956
16 201255
17 201952
18 202049
19 201246
20 201645

About Laura Sciacovelli

Laura Sciacovelli is a scholar working on Medical Laboratory Technology, Statistics, Probability and Uncertainty, Physiology, Family Practice and Transplantation, having authored 85 papers that have together received 2.8k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (48 papers), Meta-analysis and systematic reviews (27 papers), Reliability and Agreement in Measurement (11 papers), Hemodynamic Monitoring and Therapy (9 papers), SARS-CoV-2 and COVID-19 Research (9 papers), SARS-CoV-2 detection and testing (8 papers), Quality and Safety in Healthcare (8 papers) and Health and Medical Research Impacts (6 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.0k citations), Medical Laboratory Technology (142 citations), Family Practice (184 citations), Physiology (1.5k citations) and Infectious Diseases (671 citations). Laura Sciacovelli has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Mario Plebani, Andrea Padoan, Ada Aita, Maria Laura Chiozza, Chiara Cosma, Sandra Secchiero, Martina Zaninotto, Diego Faggian, Davide Negrini and Lorena Zardo. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Clinica Chimica Acta, Clinical Biochemistry, Biochemia Medica and Annals of Clinical Biochemistry International Journal of Laboratory Medicine.

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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