Sandra Secchiero
- Physiology top 10%
- Statistics, Probability and Uncertainty top 2%
- Cardiology and Cardiovascular Medicine
- Surgery
- Oncology
- Co-authors
- Mario PlebaniLaura SciacovelliMartina ZaninottoLorena ZardoDaniela A. RubinAngelo BurlinaAndrea PadoanRoberta Bertorelle
- Topics
- Clinical Laboratory Practices and Quality Control (14 papers)Meta-analysis and systematic reviews (6 papers)Bone health and treatments (4 papers)
- Partner nations
- ItalyBrazilNetherlands
In The Last Decade
Sandra Secchiero
39 papers receiving 514 citations
Peers
Comparison fields: 5 of 100
- Physiology 206
- Statistics, Probability and Uncertainty 138
- Cardiology and Cardiovascular Medicine 102
- Surgery 71
- Oncology 71
Countries citing papers authored by Sandra Secchiero
This map shows the geographic impact of Sandra Secchiero'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 Sandra Secchiero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra Secchiero more than expected).
Fields of papers citing papers by Sandra Secchiero
This network shows the impact of papers produced by Sandra Secchiero. 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 Sandra Secchiero. The network helps show where Sandra Secchiero may publish in the future.
Co-authorship network of co-authors of Sandra Secchiero
This figure shows the co-authorship network connecting the top 25 collaborators of Sandra Secchiero. A scholar is included among the top collaborators of Sandra Secchiero 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 Sandra Secchiero. Sandra Secchiero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 15 | |
| 5 | 21 | |
| 6 | 42 | |
| 7 | 30 | |
| 8 | 28 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 12 | |
| 12 | 1 | |
| 13 | 74 | |
| 14 | 17 | |
| 15 | 6 | |
| 16 | 7 | |
| 17 | Pancreatic amylase determination by immunological and electrophoretic methods | 1 |
| 18 | An improved electrophoretic method for separating and quantifying bone and liver alkaline phosphatase isoenzymes in serum | 4 |
| 19 | 16 | |
| 20 | An improved electrophoretic method for γ-glutamyltransferase isoenzyme demonstration | 1 |
About Sandra Secchiero
Sandra Secchiero is a scholar working on Statistics, Probability and Uncertainty, Medical Laboratory Technology and Physiology, having authored 39 papers that have together received 551 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (14 papers), Meta-analysis and systematic reviews (6 papers) and Bone health and treatments (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (138 citations), Medical Laboratory Technology (13 citations) and Physiology (206 citations). Sandra Secchiero has collaborated with scholars based in Italy, Brazil and Netherlands. Frequent co-authors include Mario Plebani, Laura Sciacovelli, Martina Zaninotto, Lorena Zardo, Daniela A. Rubin, Angelo Burlina, Andrea Padoan, Roberta Bertorelle, Daniela Bernardi and Giovanni B. Fogazzi. Their work appears in journals such as Hypertension, Clinical Chemistry and Clinica Chimica Acta.
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.