Michela Pelloso

968 total citations
36 papers, 626 citations indexed

About

Michela Pelloso is a scholar working on Physiology, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Michela Pelloso has authored 36 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Physiology, 9 papers in Epidemiology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michela Pelloso's work include Clinical Laboratory Practices and Quality Control (7 papers), Meta-analysis and systematic reviews (5 papers) and Blood properties and coagulation (4 papers). Michela Pelloso is often cited by papers focused on Clinical Laboratory Practices and Quality Control (7 papers), Meta-analysis and systematic reviews (5 papers) and Blood properties and coagulation (4 papers). Michela Pelloso collaborates with scholars based in Italy, Croatia and Austria. Michela Pelloso's co-authors include Mario Plebani, Elisa Piva, Laura Sciacovelli, Ada Aita, Maria Laura Chiozza, Andrea Padoan, Paola Fogar, Daniela Basso, Francesca Tosato and Stefania Moz and has published in prestigious journals such as PLoS ONE, The Journal of Urology and Journal of Clinical Pathology.

In The Last Decade

Michela Pelloso

33 papers receiving 598 citations

Peers

Michela Pelloso
Finlay MacKenzie United Kingdom
Alex Katayev United States
W S A Smellie United Kingdom
Michela Pelloso
Citations per year, relative to Michela Pelloso Michela Pelloso (= 1×) peers Andreas Bietenbeck

Countries citing papers authored by Michela Pelloso

Since Specialization
Citations

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

Fields of papers citing papers by Michela Pelloso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michela Pelloso

This figure shows the co-authorship network connecting the top 25 collaborators of Michela Pelloso. A scholar is included among the top collaborators of Michela Pelloso 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 Michela Pelloso. Michela Pelloso 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.
Padoan, Andrea, Michela Pelloso, Francesca Tosato, et al.. (2025). A machine learning approach for assessing acute infection by erythrocyte sedimentation rate (ESR) kinetics. Clinica Chimica Acta. 574. 120308–120308. 1 indexed citations
2.
Ligi, Daniela, Michela Pelloso, Elena Fabbri, et al.. (2025). Comparative analysis of monocyte distribution width alterations in Escherichia coli sepsis: insights from in vivo and ex vivo models. Clinical Chemistry and Laboratory Medicine (CCLM). 64(1). 237–249. 1 indexed citations
3.
Pelloso, Michela, Gianni Binotto, Stefania Moz, et al.. (2025). Influenza della variabilità preanalitica sul profilo di espressione dei microRNA plasmatici. Research Padua Archive (University of Padua). 49 Suppl 1.
4.
Fogar, Paola, Andrea Padoan, Elisa Piva, et al.. (2022). T Cell Senescence by Extensive Phenotyping: An Emerging Feature of COVID-19 Severity. Laboratory Medicine. 53(6). 609–613. 4 indexed citations
5.
Giraudo, Chiara, Raffaella Motta, Elisabetta Balestro, et al.. (2021). Reduced muscle mass as predictor of intensive care unit hospitalization in COVID-19 patients. PLoS ONE. 16(6). e0253433–e0253433. 36 indexed citations
6.
Giraudo, Chiara, Raffaella Motta, Gabriella Guarnieri, et al.. (2021). It’s not just the lungs: COVID-19 and the misty mesentery sign. Quantitative Imaging in Medicine and Surgery. 11(5). 2201–2203. 5 indexed citations
7.
Giraudo, Chiara, Annachiara Cavaliere, Michael Weber, et al.. (2020). Validation of a composed COVID-19 chest radiography score: the CARE project. ERJ Open Research. 6(4). 359–2020. 13 indexed citations
8.
Tosato, Francesca, Laura Sciacovelli, Michela Pelloso, et al.. (2019). Assessment and monitoring of agreement among professionals for morphological evaluation in compliance with International accreditation standard requirements. Clinica Chimica Acta. 501. 72–82. 1 indexed citations
9.
Lapić, Ivana, et al.. (2019). Automated measurement of the erythrocyte sedimentation rate: method validation and comparison. Clinical Chemistry and Laboratory Medicine (CCLM). 57(9). 1364–1373. 27 indexed citations
10.
Pontara, Elena, Chun‐Yan Cheng, Maria Grazia Cattini, et al.. (2019). An in vitro model to mimic the thrombotic occlusion of small vessels in catastrophic antiphospholipid syndrome (CAPS). Lupus. 28(14). 1663–1668. 5 indexed citations
11.
Piva, Elisa, Laura Sciacovelli, Michela Pelloso, & Mario Plebani. (2017). Performance specifications of critical results management. Clinical Biochemistry. 50(10-11). 617–621. 10 indexed citations
12.
Pelloso, Michela, Daniela Basso, Andrea Padoan, Paola Fogar, & Mario Plebani. (2016). Computer-based-limited and personalised education management maximise appropriateness of vitamin D, vitamin B12 and folate retesting. Journal of Clinical Pathology. 69(9). 777–783. 23 indexed citations
13.
Basso, Daniela, Andrea Padoan, Thomas Laufer, et al.. (2016). Relevance of pre-analytical blood management on the emerging cardiovascular protein biomarkers TWEAK and HMGB1 and on miRNA serum and plasma profiling. Clinical Biochemistry. 50(4-5). 186–193. 21 indexed citations
14.
Moz, Stefania, Daniela Basso, Andrea Padoan, et al.. (2016). Blood expression of matrix metalloproteinases 8 and 9 and of their inducers S100A8 and S100A9 supports diagnosis and prognosis of PDAC-associated diabetes mellitus. Clinica Chimica Acta. 456. 24–30. 13 indexed citations
15.
Pengo, Vittorio, Carlo‐Federico Zambon, Paola Fogar, et al.. (2015). A Randomized Trial of Pharmacogenetic Warfarin Dosing in Naïve Patients with Non-Valvular Atrial Fibrillation. PLoS ONE. 10(12). e0145318–e0145318. 25 indexed citations
16.
Basso, Daniela, Carlo‐Federico Zambon, Filippo Navaglia, et al.. (2015). TNFA Haplotype Genetic Testing Improves HLA in Estimating the Risk of Celiac Disease in Children. PLoS ONE. 10(4). e0123244–e0123244. 6 indexed citations
17.
Piva, Elisa, et al.. (2014). Laboratory critical values: Automated notification supports effective clinical decision making. Clinical Biochemistry. 47(13-14). 1163–1168. 44 indexed citations
18.
Basso, Daniela, Dania Bozzato, Andrea Padoan, et al.. (2014). Inflammation and pancreatic cancer: molecular and functional interactions between S100A8, S100A9, NT-S100A8 and TGFβ1. Cell Communication and Signaling. 12(1). 20–20. 27 indexed citations
19.
Aita, Ada, Daniela Basso, Graziella Guariso, et al.. (2013). Chemiluminescence and ELISA-based serum assays for diagnosing and monitoring celiac disease in children: A comparative study. Clinica Chimica Acta. 421. 202–207. 15 indexed citations
20.
Basso, Daniela, Graziella Guariso, Dania Bozzato, et al.. (2011). New screening tests enrich anti-transglutaminase results and support a highly sensitive two-test based strategy for celiac disease diagnosis. Clinica Chimica Acta. 412(17-18). 1662–1667. 22 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026