Eva Pagano

2.9k total citations
89 papers, 1.9k citations indexed

About

Eva Pagano is a scholar working on Economics and Econometrics, Surgery and Oncology. According to data from OpenAlex, Eva Pagano has authored 89 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Economics and Econometrics, 18 papers in Surgery and 18 papers in Oncology. Recurrent topics in Eva Pagano's work include Health Systems, Economic Evaluations, Quality of Life (23 papers), Diabetes Management and Research (8 papers) and Clinical practice guidelines implementation (8 papers). Eva Pagano is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (23 papers), Diabetes Management and Research (8 papers) and Clinical practice guidelines implementation (8 papers). Eva Pagano collaborates with scholars based in Italy, United Kingdom and Netherlands. Eva Pagano's co-authors include Andrea Veltri, Giovannino Ciccone, Franco Merletti, G Gandini, Darío Gregori, P. Sacchetto, Giovanna Carrara, Simona Bo, Livio Garattini and Rosalba Rosato and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Eva Pagano

85 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Pagano Italy 23 510 470 443 403 298 89 1.9k
Nestor F. Esnaola United States 31 654 1.3× 1.5k 3.3× 589 1.3× 420 1.0× 1.0k 3.4× 88 3.8k
Alexander S. Chiu United States 19 168 0.3× 571 1.2× 151 0.3× 189 0.5× 187 0.6× 70 1.1k
Diane L. Manninen United States 18 774 1.5× 907 1.9× 136 0.3× 373 0.9× 1.0k 3.5× 32 3.3k
Fred Ullrich United States 27 533 1.0× 559 1.2× 95 0.2× 229 0.6× 910 3.1× 125 3.1k
Lawrence D. Wagman United States 29 796 1.6× 1.4k 2.9× 593 1.3× 372 0.9× 1.3k 4.4× 98 3.5k
Huifeng Yun United States 35 199 0.4× 857 1.8× 119 0.3× 790 2.0× 498 1.7× 128 3.8k
Sameer D. Saini United States 30 878 1.7× 1.0k 2.2× 340 0.8× 763 1.9× 1.1k 3.6× 179 3.5k
Janet E. Tuttle‐Newhall United States 29 324 0.6× 1.2k 2.5× 612 1.4× 309 0.8× 149 0.5× 70 2.2k
Steven C. Stain United States 39 1.3k 2.6× 2.4k 5.1× 206 0.5× 309 0.8× 1.0k 3.4× 136 4.2k
Nader N. Massarweh United States 33 1.0k 2.0× 2.1k 4.4× 314 0.7× 376 0.9× 1.2k 3.9× 140 3.8k

Countries citing papers authored by Eva Pagano

Since Specialization
Citations

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

Fields of papers citing papers by Eva Pagano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Pagano

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Pagano. A scholar is included among the top collaborators of Eva Pagano 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 Eva Pagano. Eva Pagano 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.
Sacerdote, Carlotta, et al.. (2025). Long‑term physical and mental Health-Related Quality of Life in Italian patients post COVID-19 hospitalisation. Quality of Life Research. 34(4). 1103–1111.
2.
3.
Rosato, Rosalba, Felice Borghi, Andrea Puppo, et al.. (2023). Factor structure of post-operative quality of recovery questionnaire (QoR-15): An Italian adaptation and validation. Frontiers in Psychology. 13. 1096579–1096579. 4 indexed citations
4.
Bioletto, Fabio, Andrea Evangelista, Giovannino Ciccone, et al.. (2023). Prediction of Early and Long-Term Hospital Readmission in Patients with Severe Obesity: A Retrospective Cohort Study. Nutrients. 15(16). 3648–3648. 1 indexed citations
6.
Zola, Paolo, Giovannino Ciccone, Elisa Piovano, et al.. (2022). Effectiveness of Intensive Versus Minimalist Follow-Up Regimen on Survival in Patients With Endometrial Cancer (TOTEM Study): A Randomized, Pragmatic, Parallel Group, Multicenter Trial. Journal of Clinical Oncology. 40(33). 3817–3827. 20 indexed citations
7.
Barili, Fabio, Paola D’Errigo, Stefano Rosato, et al.. (2021). Lo studio PRIORITY - PRedictIng long term Outcomes afteR Isolated coronary arTery bypass surgerY. Giornale italiano di cardiologia. 22(4). 327–331.
9.
Rosato, Rosalba, Eva Pagano, Silvia Testa, Paolo Zola, & Daniela Di Cuonzo. (2020). Missing data in longitudinal studies: Comparison of multiple imputation methods in a real clinical setting. Journal of Evaluation in Clinical Practice. 27(1). 34–41. 7 indexed citations
10.
Pagano, Eva, et al.. (2020). Bilateral nephrectomy as an extreme measure management for methicillin-resistant staphylococcus aureus (MRSA): A case report. Urology Case Reports. 33. 101373–101373. 2 indexed citations
11.
Rosato, Rosalba, Daniela Di Cuonzo, Giuliana Ritorto, et al.. (2019). Tailoring chemotherapy supply according to patients’ preferences: a quantitative method in colorectal cancer care. Current Medical Research and Opinion. 36(1). 73–81. 5 indexed citations
12.
Leal, José, et al.. (2019). Decision models of prediabetes populations: A systematic review. Diabetes Obesity and Metabolism. 21(7). 1558–1569. 22 indexed citations
13.
Leal, José, et al.. (2017). Computer simulation models of pre-diabetes populations: a systematic review protocol. BMJ Open. 7(10). e014954–e014954. 4 indexed citations
14.
Piovano, Elisa, Luca Fuso, E. Viora, et al.. (2016). Diagnostic accuracy and cost‐effectiveness of different strategies to triage women with adnexal masses: a prospective study. Ultrasound in Obstetrics and Gynecology. 50(3). 395–403. 28 indexed citations
15.
Bruno, Graziella, Eva Pagano, Elisa Rossi, et al.. (2016). Incidence, prevalence, costs and quality of care of type 1 diabetes in Italy, age 0–29 years: The population-based CINECA-SID ARNO Observatory, 2002–2012. Nutrition Metabolism and Cardiovascular Diseases. 26(12). 1104–1111. 12 indexed citations
16.
Magnani, Corrado, et al.. (2015). [Results and cost evaluation of triage with high risk HPV test in cervical cancer screening. A pilot study in Piedmont (North-West Italy)].. PubMed. 36(2). 88–94.
17.
Piccinelli, Cristiano, Eva Pagano, & Nereo Segnan. (2015). [Reducing non-communicable diseases and health care costs: building a prevention alliance].. PubMed. 39(3). 202–7. 3 indexed citations
18.
Pagano, Eva, et al.. (2010). An economic evaluation of water birth: the cost‐effectiveness of mother well‐being. Journal of Evaluation in Clinical Practice. 16(5). 916–919. 22 indexed citations
19.
Scaglione, Luca, et al.. (2005). Implementing guidelines for venous thromboembolism prophylaxis in a large Italian teaching hospital: lights and shadows.. PubMed. 90(5). 678–84. 35 indexed citations
20.
Grassi, Michele, et al.. (1970). Computer-aided Analysis Of Skidding In RailwayTraction. WIT transactions on the built environment. 21. 1 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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