Eva Pagano

87 papers receiving 1.9k citations

Peers

Eva Pagano
Comparison fields: 5 of 113
  • Hepatology 422
  • Anesthesiology and Pain Medicine 108
  • Pulmonary and Respiratory Medicine 389
  • Internal Medicine 34
  • Critical Care and Intensive Care Medicine 46
Replace Natalie G. Coburn with:
Natalie G. Coburn Canada
Aslam Ejaz United States
Motaz Qadan United States
Deborah A. Fisher United States
Dimitri Aristotle Raptis Switzerland
Nestor F. Esnaola United States
Julie Hallet Canada
Janet E. Tuttle‐Newhall United States
Gérard de Pouvourville France
Sameer D. Saini United States
Eva Pagano relative to Natalie G. Coburn Canada Natalie G. Coburn's profile →
Citations per field
00.5×2.7×
Natalie G. Coburn · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Eva Pagano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eva Pagano Line = papers co-authored together Eva Pagano links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010316
2 2008198
3 2005180
4 2011130
5 200887
6 200868
7 201647
8 200846
9 199946
10 200643
11 200540
12 200139
13 201335
14
Implementing guidelines for venous thromboembolism prophylaxis in a large Italian teaching hospital: lights and shadows.
200535
15 201631
16 200830
17 200829
18 200628
19 200826
20 201026

About Eva Pagano

Eva Pagano is a scholar working on Surgery, Economics and Econometrics, Endocrinology, Diabetes and Metabolism, Statistics and Probability and Pulmonary and Respiratory Medicine, having authored 91 papers that have together received 2.0k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (9 papers), Enhanced Recovery After Surgery (7 papers), Statistical Methods and Inference (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Ovarian cancer diagnosis and treatment (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Statistical Methods and Bayesian Inference (3 papers) and Renal cell carcinoma treatment (2 papers). The work is most often cited by research in Hepatology (422 citations), Anesthesiology and Pain Medicine (108 citations), Pulmonary and Respiratory Medicine (389 citations), Internal Medicine (34 citations) and Critical Care and Intensive Care Medicine (46 citations). Eva Pagano has collaborated with scholars based in Italy, United Kingdom and Netherlands. Frequent co-authors include Andrea Veltri, Franco Merletti, G Gandini, Giovannino Ciccone, Darío Gregori, P. Sacchetto, Simona Bo, Giovanna Carrara, Livio Garattini and Rosalba Rosato. Their work appears in journals such as Journal of Evaluation in Clinical Practice, CardioVascular and Interventional Radiology, BMC Public Health, PharmacoEconomics and International Journal of Gynecological Cancer.

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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