Ada Aita

1.6k total citations
45 papers, 1.1k citations indexed

About

Ada Aita is a scholar working on Physiology, Statistics, Probability and Uncertainty and Surgery. According to data from OpenAlex, Ada Aita has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Physiology, 13 papers in Statistics, Probability and Uncertainty and 8 papers in Surgery. Recurrent topics in Ada Aita's work include Clinical Laboratory Practices and Quality Control (17 papers), Meta-analysis and systematic reviews (11 papers) and SARS-CoV-2 detection and testing (6 papers). Ada Aita is often cited by papers focused on Clinical Laboratory Practices and Quality Control (17 papers), Meta-analysis and systematic reviews (11 papers) and SARS-CoV-2 detection and testing (6 papers). Ada Aita collaborates with scholars based in Italy, Estonia and United Kingdom. Ada Aita's co-authors include Mario Plebani, Laura Sciacovelli, Andrea Padoan, Maria Laura Chiozza, Daniela Basso, Giorgia Antonelli, Michela Pelloso, Filippo Navaglia, Stefania Moz and Carlo‐Federico Zambon and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Ada Aita

43 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ada Aita Italy 19 547 332 214 151 114 45 1.1k
Richard Friedberg United States 15 552 1.0× 165 0.5× 73 0.3× 48 0.3× 66 0.6× 45 1.2k
Mauro Buttarello Italy 19 583 1.1× 106 0.3× 77 0.4× 28 0.2× 87 0.8× 35 1.3k
Joseph D. Sweeney United States 25 199 0.4× 38 0.1× 101 0.5× 151 1.0× 194 1.7× 106 1.8k
Julien Favresse Belgium 22 96 0.2× 39 0.1× 204 1.0× 816 5.4× 147 1.3× 77 1.5k
M. Munteanu France 40 151 0.3× 40 0.1× 210 1.0× 147 1.0× 482 4.2× 119 5.4k
Jane C. Dale United States 14 353 0.6× 159 0.5× 29 0.1× 53 0.4× 55 0.5× 26 713
Durga S. Borkar United States 20 58 0.1× 45 0.1× 138 0.6× 36 0.2× 56 0.5× 60 1.5k
Ronald Jackups United States 17 80 0.1× 35 0.1× 401 1.9× 40 0.3× 89 0.8× 61 899
Christine Cserti‐Gazdewich Canada 25 285 0.5× 8 0.0× 222 1.0× 119 0.8× 128 1.1× 105 2.0k
Amos Cahan United States 14 60 0.1× 31 0.1× 103 0.5× 54 0.4× 58 0.5× 32 592

Countries citing papers authored by Ada Aita

Since Specialization
Citations

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

Fields of papers citing papers by Ada Aita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ada Aita

This figure shows the co-authorship network connecting the top 25 collaborators of Ada Aita. A scholar is included among the top collaborators of Ada Aita 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 Ada Aita. Ada Aita 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
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Arrigoni, Giorgio, Ilaria Battisti, R. D’Incà, et al.. (2024). Colorectal cancer and inflammatory bowel diseases share common salivary proteomic pathways. Scientific Reports. 14(1). 17711–17711. 1 indexed citations
4.
Aita, Ada, Paola Galozzi, Chiara Cosma, et al.. (2024). Salivary alpha-amylase: A marker of stress in gynecological residents during a shoulder dystocia simulation scenario. PLoS ONE. 19(11). e0314234–e0314234. 2 indexed citations
5.
Aita, Ada, Ilaria Battisti, Andrea Padoan, et al.. (2022). Salivary proteomic analysis in asymptomatic and symptomatic SARS-CoV-2 infection: Innate immunity, taste perception and FABP5 proteins make the difference. Clinica Chimica Acta. 537. 26–37. 11 indexed citations
6.
Basso, Daniela, Ada Aita, Filippo Navaglia, et al.. (2022). The University of Padua salivary-based SARS-CoV-2 surveillance program minimized viral transmission during the second and third pandemic wave. BMC Medicine. 20(1). 96–96. 4 indexed citations
7.
Sciacovelli, Laura, Giuseppe Lippi, Zorica Šumarac, et al.. (2019). Pre-analytical quality indicators in laboratory medicine: Performance of laboratories participating in the IFCC working group “Laboratory Errors and Patient Safety” project. Clinica Chimica Acta. 497. 35–40. 36 indexed citations
8.
Zhou, Rui, Yanyan Qin, Andrea Padoan, et al.. (2019). Different approaches for estimating measurement uncertainty: An effective tool for improving interpretation of results. Clinica Chimica Acta. 503. 223–227. 1 indexed citations
9.
Plebani, Mario, Ada Aita, Andrea Padoan, & Laura Sciacovelli. (2019). Decision Support and Patient Safety. Clinics in Laboratory Medicine. 39(2). 231–244. 16 indexed citations
10.
Padoan, Andrea, Martina Zaninotto, Elisa Piva, et al.. (2018). Quality of plasma samples and BD Vacutainer Barricor tubes: Effects of centrifugation. Clinica Chimica Acta. 483. 271–274. 16 indexed citations
11.
Aita, Ada, Daniela Basso, Roberta Ramonda, et al.. (2018). Genetics in TNF-TNFR pathway: A complex network causing spondyloarthritis and conditioning response to anti-TNFα therapy. PLoS ONE. 13(3). e0194693–e0194693. 16 indexed citations
12.
Sciacovelli, Laura, Ada Aita, & Mario Plebani. (2017). Extra-analytical quality indicators and laboratory performances. Clinical Biochemistry. 50(10-11). 632–637. 18 indexed citations
13.
Padoan, Andrea, Giorgia Antonelli, Ada Aita, Laura Sciacovelli, & Mario Plebani. (2017). An approach for estimating measurement uncertainty in medical laboratories using data from long-term quality control and external quality assessment schemes. Clinical Chemistry and Laboratory Medicine (CCLM). 55(11). 1696–1701. 30 indexed citations
14.
Aita, Ada, et al.. (2017). Issues and challenges in applicability of measurement uncertainty estimation in medical laboratories. Journal of Laboratory and Precision Medicine. 2. 69–69. 2 indexed citations
15.
Plebani, Mario, Laura Sciacovelli, & Ada Aita. (2016). Quality Indicators for the Total Testing Process. Clinics in Laboratory Medicine. 37(1). 187–205. 45 indexed citations
16.
Greco, Eliana, Ada Aita, Paola Galozzi, et al.. (2015). The novel S59P mutation in the TNFRSF1A gene identified in an adult onset TNF receptor associated periodic syndrome (TRAPS) constitutively activates NF-κB pathway. Arthritis Research & Therapy. 17(1). 93–93. 33 indexed citations
17.
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
18.
Plebani, Mario, Laura Sciacovelli, Ada Aita, Andrea Padoan, & Maria Laura Chiozza. (2013). Quality indicators to detect pre-analytical errors in laboratory testing. Clinica Chimica Acta. 432. 44–48. 140 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.
Tonello, Fiorella, Ada Aita, Paola Pizzo, et al.. (2012). A Lys49-PLA2 myotoxin of Bothrops asper triggers a rapid death of macrophages that involves autocrine purinergic receptor signaling. Cell Death and Disease. 3(7). e343–e343. 20 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.

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