Emanuele Gatti

1.5k total citations
41 papers, 1.1k citations indexed

About

Emanuele Gatti is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Emanuele Gatti has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nephrology, 13 papers in Cardiology and Cardiovascular Medicine and 6 papers in Biomedical Engineering. Recurrent topics in Emanuele Gatti's work include Dialysis and Renal Disease Management (15 papers), Blood Pressure and Hypertension Studies (8 papers) and Artificial Intelligence in Healthcare (5 papers). Emanuele Gatti is often cited by papers focused on Dialysis and Renal Disease Management (15 papers), Blood Pressure and Hypertension Studies (8 papers) and Artificial Intelligence in Healthcare (5 papers). Emanuele Gatti collaborates with scholars based in Germany, Italy and Austria. Emanuele Gatti's co-authors include Daniele Marcelli, Sudhir K. Bowry, Andrea Stopper, C. Barbieri, Flavio Mari, Bernard Canaud, Attilio Di Benedetto, Salvatore D’Isa, Antonello D’Andrea and Raffaele Calabrò and has published in prestigious journals such as The Journal of Immunology, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Emanuele Gatti

40 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emanuele Gatti Germany 21 549 221 187 148 129 41 1.1k
Beverley Matthews United Kingdom 11 418 0.8× 64 0.3× 74 0.4× 20 0.1× 9 0.1× 14 1.1k
Maureen Dubreuil United States 22 268 0.5× 77 0.3× 248 1.3× 5 0.0× 141 1.1× 72 1.5k
Peter Jehle Germany 20 292 0.5× 62 0.3× 344 1.8× 85 0.6× 31 0.2× 54 1.2k
Xi Wang China 19 227 0.4× 420 1.9× 164 0.9× 230 1.6× 2 0.0× 94 1.1k
Nicholas Brown United States 14 18 0.0× 154 0.7× 168 0.9× 35 0.2× 40 0.3× 58 761
Lu Gao China 25 171 0.3× 71 0.3× 289 1.5× 25 0.2× 27 0.2× 112 1.8k
Rong Shu China 18 262 0.5× 136 0.6× 106 0.6× 43 0.3× 14 0.1× 77 996
Li Tang China 22 196 0.4× 52 0.2× 137 0.7× 19 0.1× 23 0.2× 113 1.4k
Weiguo Li China 18 25 0.0× 68 0.3× 245 1.3× 18 0.1× 14 0.1× 61 1.5k
Deepak Sethi India 12 108 0.2× 83 0.4× 81 0.4× 13 0.1× 20 0.2× 43 480

Countries citing papers authored by Emanuele Gatti

Since Specialization
Citations

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

Fields of papers citing papers by Emanuele Gatti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emanuele Gatti

This figure shows the co-authorship network connecting the top 25 collaborators of Emanuele Gatti. A scholar is included among the top collaborators of Emanuele Gatti 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 Emanuele Gatti. Emanuele Gatti 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.
Balestrieri, Alessandro, Luca Gianfranceschi, Emanuele Gatti, et al.. (2021). Genetic and viability assessment of a reintroduced Eurasian otterLutra lutrapopulation on the River Ticino, Italy. Oryx. 56(4). 617–626. 4 indexed citations
2.
Tremolada, Paolo, Emanuele Gatti, Luca Gianfranceschi, et al.. (2020). The otter population of the River Ticino (N Italy) 20 years after its reintroduction. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 13. 51–62. 1 indexed citations
3.
Costanzo, Alessandra, Roberto Ambrosini, Manuela Caprioli, et al.. (2017). Extrapair fertilizations vary with female traits and pair composition, besides male attractiveness, in barn swallows. Animal Behaviour. 134. 183–191. 5 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.
Marcelli, Daniele, Len A. Usvyat, Peter Kotanko, et al.. (2015). Body Composition and Survival in Dialysis Patients. Clinical Journal of the American Society of Nephrology. 10(7). 1192–1200. 132 indexed citations
6.
Barbieri, C., Flavio Mari, Andrea Stopper, et al.. (2015). A new machine learning approach for predicting the response to anemia treatment in a large cohort of End Stage Renal Disease patients undergoing dialysis. Computers in Biology and Medicine. 61. 56–61. 59 indexed citations
7.
Gandjour, Afschin, Ulrich Tschulena, Sonja Steppan, & Emanuele Gatti. (2014). A simulation model to estimate cost-offsets for a disease-management program for chronic kidney disease. Expert Review of Pharmacoeconomics & Outcomes Research. 15(2). 341–347. 8 indexed citations
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.
Ferrario, Manuela, S. Cerutti, C. Barbieri, et al.. (2013). Artificial intelligence models to stratify cardiovascular risk in incident hemodialysis patients. Expert Systems with Applications. 40(11). 4679–4686. 24 indexed citations
11.
Tetta, Ciro, Anna Lange-Consiglio, Stefania Bruno, et al.. (2012). The role of microvesicles derived from mesenchymal stem cells in tissue regeneration; a dream for tendon repair?. PubMed. 2(3). 212–21. 23 indexed citations
12.
Ferrario, Manuela, C. Barbieri, Daniele Marcelli, et al.. (2012). Predictive modeling of cardiovascular complications in incident hemodialysis patients. PubMed. 66. 3943–3946. 1 indexed citations
13.
Gatti, Emanuele & Claudio Ronco. (2011). Seeking an Optimal Renal Replacement Therapy for the Chronic Kidney Disease Epidemic: The Case for On-Line Hemodiafiltration. Contributions to nephrology. 175. 170–185. 5 indexed citations
14.
Tetta, Ciro, et al.. (2011). The rise of hemodialysis machines: new technologies in minimizing cardiovascular complications. Expert Review of Cardiovascular Therapy. 9(2). 155–164. 16 indexed citations
15.
Cice, Gennaro, Attilio Di Benedetto, Salvatore D’Isa, et al.. (2010). Effects of Telmisartan Added to Angiotensin-Converting Enzyme Inhibitors on Mortality and Morbidity in Hemodialysis Patients With Chronic Heart Failure. Journal of the American College of Cardiology. 56(21). 1701–1708. 126 indexed citations
16.
Ferrario, Manuela, Ulrich Moissl, Francesco Garzotto, et al.. (2010). Study of the autonomic response in hemodialysis patients with different fluid overload levels. PubMed. 2010. 3796–3799. 5 indexed citations
17.
Cice, Gennaro, Attilio Di Benedetto, Antonello D’Andrea, et al.. (2008). Heart rate as independent prognostic factor for mortality in normotensive hemodialysed patients. Journal of Nephrology. 21(5). 704–712. 21 indexed citations
18.
Kirchgessner, Judith, et al.. (2004). EuCliD® – A Medical Registry. Methods of Information in Medicine. 43(1). 83–88. 43 indexed citations
19.
Kirchgessner, Judith, et al.. (2003). Survey of medical data from data acquisition to high quality patient treatment. 2. 378–381. 1 indexed citations
20.
Marcelli, Daniele, et al.. (2002). EuCliD (European Clinical Database): a database comparing different realities.. PubMed. 14 Suppl 4. S94–100. 61 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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