Claudia Amato

426 total citations
11 papers, 290 citations indexed

About

Claudia Amato is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Hematology. According to data from OpenAlex, Claudia Amato has authored 11 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nephrology, 4 papers in Cardiology and Cardiovascular Medicine and 2 papers in Hematology. Recurrent topics in Claudia Amato's work include Dialysis and Renal Disease Management (4 papers), Erythropoietin and Anemia Treatment (2 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). Claudia Amato is often cited by papers focused on Dialysis and Renal Disease Management (4 papers), Erythropoietin and Anemia Treatment (2 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). Claudia Amato collaborates with scholars based in Germany, Austria and Spain. Claudia Amato's co-authors include Flavio Mari, C. Barbieri, Bernard Canaud, Emanuele Gatti, Andrea Stopper, Francesco Bellocchio, Daniele Marcelli, Stefano Stuard, Isabella Cattinelli and Sudhir K. Bowry and has published in prestigious journals such as PLoS ONE, Kidney International and Nephrology Dialysis Transplantation.

In The Last Decade

Claudia Amato

10 papers receiving 286 citations

Peers

Claudia Amato
Sharon Richards United States
Ángela Rivera United States
Ammar Almehmi United States
Timothy Reilly United States
Katya L Masconi South Africa
Leland E. Garrett United States
Sharon Richards United States
Claudia Amato
Citations per year, relative to Claudia Amato Claudia Amato (= 1×) peers Sharon Richards

Countries citing papers authored by Claudia Amato

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Amato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Amato

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Amato. A scholar is included among the top collaborators of Claudia Amato 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 Claudia Amato. Claudia Amato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Postorino, Maurizio, Claudia Amato, Elena Mancini, et al.. (2017). A comparative study of the risk profile of hemodialysis patients in a for profit network and in two regional registries of the Italian Society of Nephrology. Journal of Nephrology. 31(1). 119–127. 3 indexed citations
2.
Barbieri, C., Manuel Molina, Pedro Ponce, et al.. (2016). An international observational study suggests that artificial intelligence for clinical decision support optimizes anemia management in hemodialysis patients. Kidney International. 90(2). 422–429. 93 indexed citations
3.
Brancaccio, Diego, Luca Neri, Francesco Bellocchio, et al.. (2016). Patients' Characteristics Affect the Survival Benefit of Warfarin Treatment for Hemodialysis Patients with Atrial Fibrillation. A Historical Cohort Study. American Journal of Nephrology. 44(4). 258–267. 18 indexed citations
4.
Barbieri, C., Elena Bolzoni, Flavio Mari, et al.. (2016). Performance of a Predictive Model for Long-Term Hemoglobin Response to Darbepoetin and Iron Administration in a Large Cohort of Hemodialysis Patients. PLoS ONE. 11(3). e0148938–e0148938. 21 indexed citations
5.
Brancaccio, Diego, Luca Neri, Francesco Bellocchio, et al.. (2016). Atrial Fibrillation in Dialysis Patients: Time to Abandon Warfarin?. The International Journal of Artificial Organs. 39(3). 99–105. 6 indexed citations
6.
Canaud, Bernard, C. Barbieri, Daniele Marcelli, et al.. (2015). Optimal convection volume for improving patient outcomes in an international incident dialysis cohort treated with online hemodiafiltration. Kidney International. 88(5). 1108–1116. 75 indexed citations
7.
Dasgupta, Indranil, Manfred Hecking, Hugh C. Rayner, et al.. (2015). FP727BIO-IMPEDANCE SPECTROSCOPY MEASURED LEAN TISSUE MASS AND SURVIVAL IN A LARGE INTERNATIONAL HAEMODIALYSIS POPULATION. Nephrology Dialysis Transplantation. 30(suppl_3). iii319–iii319.
8.
Martínez-Martínez, José M., Pablo Escandell-Montero, C. Barbieri, et al.. (2014). Prediction of the hemoglobin level in hemodialysis patients using machine learning techniques. Computer Methods and Programs in Biomedicine. 117(2). 208–217. 32 indexed citations
9.
Cattinelli, Isabella, Elena Bolzoni, Francesco Bellocchio, et al.. (2013). Computational intelligence for the Balanced Scorecard: Studying performance trends of hemodialysis clinics. Artificial Intelligence in Medicine. 58(3). 165–173. 2 indexed citations
10.
Cattinelli, Isabella, Elena Bolzoni, C. Barbieri, et al.. (2011). Use of Self-Organizing Maps for Balanced Scorecard analysis to monitor the performance of dialysis clinic chains. Health Care Management Science. 15(1). 79–90. 17 indexed citations
11.
Stopper, Andrea, et al.. (2006). Managing Complexity at Dialysis Service Centers across Europe. Blood Purification. 25(1). 77–89. 23 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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