Barbara Manenti
Impact in
- Clinical Biochemistry top 10%
- Bacterial Identification and Susceptibility Testing
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- Clinical Laboratory Practices and Quality Control
Papers in ⓘ
- Physiology 17
- Clinical Laboratory Practices and Quality Control 17
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- Reliability and Agreement in Measurement 3
- Co-authors
- Michela Seghezzi (23 shared papers)Sabrina Buoro (23 shared papers)Giuseppe Lippi (17 shared papers)Cosimo Ottomano (17 shared papers)Ferruccio Ceriotti (4 shared papers)Tommaso Mecca (7 shared papers)Anna Carobene (3 shared papers)Giulia Previtali (7 shared papers)
In The Last Decade
Barbara Manenti
22 papers receiving 305 citations
Peers
Comparison fields: 5 of 58
- Clinical Biochemistry 40
- Physiology 126
- Hematology 54
- Internal Medicine 11
- Biophysics 16
Countries citing papers authored by Barbara Manenti
This map shows the geographic impact of Barbara Manenti'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 Barbara Manenti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Manenti more than expected).
Fields of papers citing papers by Barbara Manenti
This network shows the impact of papers produced by Barbara Manenti. 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 Barbara Manenti. The network helps show where Barbara Manenti may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara Manenti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 40 | |
| 2 | 2017 | 35 | |
| 3 | 2020 | 25 | |
| 4 | 2016 | 24 | |
| 5 | 2017 | 23 | |
| 6 | 2017 | 19 | |
| 7 | 2016 | 16 | |
| 8 | 2017 | 15 | |
| 9 | 2017 | 15 | |
| 10 | 2018 | 14 | |
| 11 | 2018 | 13 | |
| 12 | 2017 | 12 | |
| 13 | 2018 | 12 | |
| 14 | 2019 | 11 | |
| 15 | Formula milk feeding does not increase the release of the inflammatory marker calprotectin, compared to human milk. | 2012 | 11 |
| 16 | 2016 | 11 | |
| 17 | 2016 | 6 | |
| 18 | 2016 | 5 | |
| 19 | 2019 | 4 | |
| 20 | 2016 | 4 |
About Barbara Manenti
Barbara Manenti is a scholar working on Physiology, Statistics, Probability and Uncertainty, Emergency Medicine, Clinical Biochemistry and Internal Medicine, having authored 24 papers that have together received 319 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (17 papers), Sepsis Diagnosis and Treatment (5 papers), Hematological disorders and diagnostics (4 papers), Digital Imaging for Blood Diseases (4 papers), Pleural and Pulmonary Diseases (3 papers), Reliability and Agreement in Measurement (3 papers), Hemodynamic Monitoring and Therapy (2 papers) and Bacterial Identification and Susceptibility Testing (2 papers). The work is most often cited by research in Clinical Biochemistry (40 citations), Physiology (126 citations), Hematology (54 citations), Internal Medicine (11 citations) and Biophysics (16 citations). Barbara Manenti has collaborated with scholars based in Italy, Czechia and Japan. Frequent co-authors include Michela Seghezzi, Sabrina Buoro, Giuseppe Lippi, Cosimo Ottomano, Ferruccio Ceriotti, Tommaso Mecca, Anna Carobene, Giulia Previtali, Maria Grazia Alessio and Sara Esposito. Their work appears in journals such as Clinica Chimica Acta, Journal of Clinical Pathology, Clinical Chemistry and Laboratory Medicine (CCLM), Annals of Translational Medicine and Blood.
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.